Conditional Feature Importance for Mixed Data


Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests


Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence


Conditional GANs with Auxiliary Discriminative Classifier


Conditional Generation Net for Medication Recommendation


Conditional Generation from Unconditional Diffusion Models using Denoiser Representations


Conditional Generation of Audio from Video via Foley Analogies


Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations


Conditional Generative Denoiser for Nighttime UAV Tracking


Conditional Generative Modeling for Amorphous Multi-Element Materials


Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes


Conditional Generative Models for Simulation of EMG During Naturalistic Movements


Conditional Generators of Words Definitions


Conditional Gradients for the Approximately Vanishing Ideal


Conditional Graph Information Bottleneck for Molecular Relational Learning


Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis


Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations


Conditional Idempotent Generative Networks


Conditional Image Synthesis with Diffusion Models: A Survey


Conditional Image-to-Video Generation with Latent Flow Diffusion Models


Conditional Independence Testing for Discrete Distributions: Beyond $χ^2$- and $G$-tests


Conditional Independence Testing using Generative Adversarial Networks


Conditional Independence Testing via Latent Representation Learning


Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding


Conditional Injective Flows for Bayesian Imaging


Conditional Invertible Neural Networks for Medical Imaging


Conditional Language Learning with Context


Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation


Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning


Conditional Latent ODEs for Motion Prediction in Autonomous Driving


Conditional Logical Message Passing Transformer for Complex Query Answering


Conditional Monte Carlo for Reaction Networks


Conditional Mutual Information for Disentangled Representations in Reinforcement Learning


Conditional Neural Expert Processes for Learning Movement Primitives from Demonstration


Conditional Neural Relational Inference for Interacting Systems


Conditional Optimal Transport on Function Spaces


Conditional Outcome Equivalence: A Quantile Alternative to CATE


Conditional Poisson Stochastic Beam Search


Conditional Positional Encodings for Vision Transformers


Conditional Power and Friends: The Why and How of (Un)planned, Unblinded Sample Size Recalculations in Confirmatory Trials


Conditional Prediction ROC Bands for Graph Classification


Conditional Prior Networks for Optical Flow


Conditional Probability Models for Deep Image Compression


Conditional Prompt Tuning for Multimodal Fusion


Conditional Prototype Rectification Prompt Learning


Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation


Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation


Conditional Reconstruction for Open-set Semantic Segmentation


Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling


Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference


Conditional Separation as a Binary Relation. A Coq Assisted Proof


Conditional Sequential Modulation for Efficient Global Image Retouching


Conditional Sig-Wasserstein GANs for Time Series Generation


Conditional Similarity Triplets Enable Covariate-Informed Representations of Single-Cell Data


Conditional Simulation Using Diffusion Schrödinger Bridges


Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning


Conditional Supervised Contrastive Learning for Fair Text Classification


Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction


Conditional Value at Risk-Sensitive Solar Hosting Capacity Analysis in Distribution Networks


Conditional Variable Flow Matching: Transforming Conditional Densities with Amortized Conditional Optimal Transport


Conditional Variance Penalties and Domain Shift Robustness


Conditional Variational Capsule Network for Open Set Recognition


Conditional Vector Graphics Generation for Music Cover Images


Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models


Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching


Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning


Conditional and Modal Reasoning in Large Language Models


Conditional average treatment effect estimation with marginally constrained models


Conditional cooperation with longer memory


Conditional diffusion model with spatial attention and latent embedding for medical image segmentation


Conditional expectation with regularization for missing data imputation


Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression


Conditional independence for pretext task selection in Self-supervised speech representation learning


Conditional independence testing under misspecified inductive biases


Conditional independence testing: a predictive perspective


Conditional inference in cis-Mendelian randomization using weak genetic factors


Conditional inference on the asset with maximum Sharpe ratio


Conditional out-of-sample generation for unpaired data using trVAE


Conditional particle filters with bridge backward sampling


Conditional particle filters with diffuse initial distributions


Conditional sampling within generative diffusion models


Conditional score-based diffusion models for Bayesian inference in infinite dimensions


Conditional validity of heteroskedastic conformal regression


Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification


ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers


Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data


Conditionally Combining Robot Skills using Large Language Models


Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning


Conditionally Independent Multiresolution Gaussian Processes


Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems


Conditionally Risk-Averse Contextual Bandits


Conditionally Strongly Log-Concave Generative Models


Conditionally conjugate mean-field variational Bayes for logistic models


Conditioned Prompt-Optimization for Continual Deepfake Detection


Conditioned Source Separation for Music Instrument Performances


Conditioned Variational Autoencoder for top-N item recommendation


Conditioning LLMs to Generate Code-Switched Text: A Methodology Grounded in Naturally Occurring Data


Conditioning Sparse Variational Gaussian Processes for Online Decision-making


Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution


Conditioning diffusion models by explicit forward-backward bridging


Conditioning on Time is All You Need for Synthetic Survival Data Generation


Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections


Conditions for Open-Ended Evolution in Immigration Games


Condor: A Code Discriminator Integrating General Semantics with Code Details


Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement


Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks


Conductor and discriminant of Picard curves


Conductor exponents for families of hyperelliptic curves


Conduit: A C++ Library for Best-effort High Performance Computing


Cone: Unsupervised Contrastive Opinion Extraction


ConeQuest: A Benchmark for Cone Segmentation on Mars


Conefield approach to identifying regions without flux surfaces for magnetic fields


Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction


ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild


ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing


ConfNet2Seq: Full Length Answer Generation from Spoken Questions


ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization


Conffusion: Confidence Intervals for Diffusion Models


Confidence Aware Inverse Constrained Reinforcement Learning


Confidence Bands for Multiparameter Persistence Landscapes


Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation


Confidence Calibration of Classifiers with Many Classes


Confidence Composition for Monitors of Verification Assumptions


Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation


Confidence Elicitation: A New Attack Vector for Large Language Models


Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching


Confidence Estimation Using Unlabeled Data


Confidence Estimation for Error Detection in Text-to-SQL Systems


Confidence Estimation for LLM-Based Dialogue State Tracking


Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations


Confidence Intervals for Nonparametric Empirical Bayes Analysis


Confidence Modeling for Neural Semantic Parsing


Confidence Propagation Cluster: Unleash Full Potential of Object Detectors


Confidence Regions Near Singular Information and Boundary Points With Applications to Mixed Models


Confidence Regulation Neurons in Language Models


Confidence Score Based Speaker Adaptation of Conformer Speech Recognition Systems


Confidence Score for Source-Free Unsupervised Domain Adaptation


Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models


Confidence and second-order errors in cortical circuits


Confidence bands for a log-concave density


Confidence curves for UQ validation: probabilistic reference vs. oracle


Confidence in the Reasoning of Large Language Models


Confidence intervals for forced alignment boundaries using model ensembles


Confidence intervals for the Cox model test error from cross-validation


Confidence intervals for the random forest generalization error


Confidence intervals in monotone regression


Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap-based optimism correction methods


Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage


Confidence regions for the location of peaks of a smooth random field


Confidence regions for univariate and multivariate data using permutation tests


Confidence sequences for sampling without replacement


Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs


Confidence-Aware Active Feedback for Interactive Instance Search


Confidence-Aware Calibration and Scoring Functions for Curriculum Learning


Confidence-Aware Learning for Deep Neural Networks


Confidence-Aware Multi-Teacher Knowledge Distillation


Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding


Confidence-Aware Scheduled Sampling for Neural Machine Translation


Confidence-Aware and Self-Supervised Image Anomaly Localisation


Confidence-Based Curriculum Learning for Multi-Agent Path Finding


Confidence-Based Feature Imputation for Graphs with Partially Known Features


Confidence-Based Skill Reproduction Through Perturbation Analysis


Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving


Confidence-Ranked Reconstruction of Census Microdata from Published Statistics


Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation


Confidence-aware Contrastive Learning for Selective Classification


Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness


Confidence-aware Non-repetitive Multimodal Transformers for TextCaps


Confidence-aware Personalized Federated Learning via Variational Expectation Maximization


Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models


Confidence-aware Training of Smoothed Classifiers for Certified Robustness


Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis


Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation


Confidence-rich Localization and Mapping based on Particle Filter for Robotic Exploration


Confidence-weighted integration of human and machine judgments for superior decision-making


Confident Neural Network Regression with Bootstrapped Deep Ensembles


Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting


Confident Pseudo-labeled Diffusion Augmentation for Canine Cardiomegaly Detection


Confident Sinkhorn Allocation for Pseudo-Labeling


Confidential Consortium Framework: Secure Multiparty Applications with Confidentiality, Integrity, and High Availability


Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention


Confidential Prompting: Protecting User Prompts from Cloud LLM Providers


Confidential Truth Finding with Multi-Party Computation (Extended Version)


Confidently Comparing Estimators with the c-value


Configurable Mirror Descent: Towards a Unification of Decision Making


Configurable Safety Tuning of Language Models with Synthetic Preference Data


Configuration Control for Physical Coupling of Heterogeneous Robot Swarms


Configuration Models of Random Hypergraphs and their Applications


Configuration sampling in multi-component multi-sublattice systems enabled by ab Initio Configuration Sampling Toolkit (abICS)


Configuration spaces of disks in a strip, twisted algebras, persistence, and other stories


Configuration-Constrained Tube MPC for Tracking


Configurational entropy, transition rates, and optimal interactions for rapid folding in coarse-grained model proteins


Configurations of 10 points and their incidence varieties


Configuring Random Graph Models with Fixed Degree Sequences


Confirmatory Biomarker Identification via Derandomized Knockoffs for Cox Regression with k-FWER Control


Conflict Management in the Near-RT-RIC of Open RAN: A Game Theoretic Approach


Conflict and Convention in Dynamic Networks


Conflict-Averse Gradient Descent for Multi-task Learning


Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment


Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation


Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph


ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM


Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing


ConfocalGN : a minimalistic confocal image simulator


Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees


Conformal Anomaly Detection for Functional Data with Elastic Distance Metrics


Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees


Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems


Conformal Classification with Equalized Coverage for Adaptively Selected Groups


Conformal Credal Self-Supervised Learning


Conformal Data-driven Control of Stochastic Multi-Agent Systems under Collaborative Signal Temporal Logic Specifications


Conformal Generative Modeling on Triangulated Surfaces


Conformal Inference for Online Prediction with Arbitrary Distribution Shifts


Conformal Invariance and Multifractality at Anderson Transitions in Arbitrary Dimensions


Conformal Invariants in Simply Connected Domains


Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells


Conformal Load Prediction with Transductive Graph Autoencoders


Conformal Moduli of Symmetric Circular Quadrilaterals With Cusps


Conformal Performance Range Prediction for Segmentation Output Quality Control


Conformal Prediction Intervals for Remaining Useful Lifetime Estimation


Conformal Prediction Intervals with Temporal Dependence


Conformal Prediction Regions for Time Series using Linear Complementarity Programming


Conformal Prediction Sets Can Cause Disparate Impact


Conformal Prediction Sets Improve Human Decision Making


Conformal Prediction Sets with Limited False Positives


Conformal Prediction Under Feedback Covariate Shift for Biomolecular Design


Conformal Prediction With Conditional Guarantees


Conformal Prediction for Causal Effects of Continuous Treatments


Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration


Conformal Prediction for Deep Classifier via Label Ranking


Conformal Prediction for Dose-Response Models with Continuous Treatments


Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation


Conformal Prediction for Time Series with Modern Hopfield Networks


Conformal Prediction for Zero-Shot Models


Conformal Prediction in Multi-User Settings: An Evaluation


Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations


Conformal Prediction using Conditional Histograms


Conformal Prediction via Regression-as-Classification


Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting


Conformal Prediction with Large Language Models for Multi-Choice Question Answering


Conformal Prediction with Missing Values


Conformal Prediction with Partially Labeled Data


Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs


Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks


Conformal Predictive Systems Under Covariate Shift


Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes


Conformal Risk Control for Ordinal Classification


Conformal Risk Control for Pulmonary Nodule Detection


Conformal Risk Minimization with Variance Reduction


Conformal Robust Control of Linear Systems


Conformal Sensitivity Analysis for Individual Treatment Effects


Conformal Survival Bands for Risk Screening under Right-Censoring


Conformal Symplectic Optimization for Stable Reinforcement Learning


Conformal Symplectic and Relativistic Optimization


Conformal Tracking for all-silicon trackers at future electron-positron colliders


Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving


Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)


Conformal approach to physics simulations for thin curved 3D membranes


Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations


Conformal diagrams for stationary and dynamical strong-field hyperboloidal slices


Conformal inference for cell type annotation with graph-structured constraints


Conformal inference is (almost) free for neural networks trained with early stopping


Conformal novelty detection for replicate point patterns with FDR or FWER control


Conformal prediction for frequency-severity modeling


Conformal prediction for multi-dimensional time series by ellipsoidal sets


Conformal prediction for text infilling and part-of-speech prediction


Conformal prediction set for time-series


Conformal symmetry in quasi-free Markovian open quantum systems


Conformal time series decomposition with component-wise exchangeability


Conformal-in-the-Loop for Learning with Imbalanced Noisy Data


ConformalLayers: A non-linear sequential neural network with associative layers


Conformalization of Sparse Generalized Linear Models


Conformalized Adaptive Forecasting of Heterogeneous Trajectories


Conformalized Deep Splines for Optimal and Efficient Prediction Sets


Conformalized Fairness via Quantile Regression


Conformalized Interval Arithmetic with Symmetric Calibration


Conformalized Physics-Informed Neural Networks


Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection


Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration


Conformalized survival analysis with adaptive cutoffs


Conformance Checking for a Medical Training Process Using Petri net Simulation and Sequence Alignment


Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications


Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems


Conformation Generation using Transformer Flows


Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins


Conformational Heterogeneity in Human Interphase Chromosome Organization Reconciles the FISH and Hi-C Paradox


Conformational variability in proteins bound to single-stranded DNA: a new benchmark for new docking perspectives


Conformer and Blind Noisy Students for Improved Image Quality Assessment


Conformer: Local Features Coupling Global Representations for Visual Recognition


Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks


Confound-leakage: Confound Removal in Machine Learning Leads to Leakage


Confounder selection strategies targeting stable treatment effect estimators


Confounder-Aware Visualization of ConvNets


Confounder-Dependent Bayesian Mixture Model: Characterizing Heterogeneity of Causal Effects in Air Pollution Epidemiology


Confounder-adjusted Covariances of System Outputs and Applications to Structural Health Monitoring


Confounding Feature Acquisition for Causal Effect Estimation


Confounding caused by causal-effect covariability


Confounding-adjustment methods for the causal difference in medians


Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)


Confronting the thermodynamics knowledge gap: A short course on computational thermodynamics in Julia


ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning


Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning


Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum


Confusing Image Quality Assessment: Towards Better Augmented Reality Experience


Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments


Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional data


Confusion-driven machine learning of structural phases of a flexible, magnetic Stockmayer polymer


Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords


CongFu: Conditional Graph Fusion for Drug Synergy Prediction


Congestion Attacks in Payment Channel Networks


Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks


Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance


Congestion-aware Ride-pooling in Mixed Traffic for Autonomous Mobility-on-Demand Systems


Congestion-aware path coordination game with Markov decision process dynamics


Congruity of genomic and epidemiological data in modeling of local cholera outbreaks


Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications


Conic Scan-and-Cover algorithms for nonparametric topic modeling


Conic bundle threefolds differing by a constant Brauer class and connections to rationality


Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset


Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models


Coniferest: a complete active anomaly detection framework


ConjNLI: Natural Language Inference Over Conjunctive Sentences


Conjecturing-Based Discovery of Patterns in Data


Conjugate Bayes for probit regression via unified skew-normal distributions


Conjugate Bayesian Two-step Change Point Detection for Hawkes Process


Conjugate Gradient Method for Generative Adversarial Networks


Conjugate Phase Retrieval in Paley-Wiener Space


Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching


Conjugate generation of sporadic almost simple groups


Conjugate gradient methods for high-dimensional GLMMs


Conjugate points along Kolmogorov flows on the torus


Conjugate priors and bias reduction for logistic regression models


Conjugated Discrete Distributions for Distributional Reinforcement Learning


Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models


Conjunction Subspaces Test for Conformal and Selective Classification


Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations


Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data


Connect-while-in-range: modelling the impact of spatial constraints on dynamic communication network structures


Connecting Attributions and QA Model Behavior on Realistic Counterfactuals


Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation


Connecting Constructive Notions of Ordinals in Homotopy Type Theory


Connecting Dreams with Visual Brainstorming Instruction


Connecting Embeddings for Knowledge Graph Entity Typing


Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata


Connecting Inflation to the NANOGrav 15-year Data Set via Massive Gravity


Connecting Interpretability and Robustness in Decision Trees through Separation


Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction


Connecting Language and Vision for Natural Language-Based Vehicle Retrieval


Connecting Mass-action Models and Network Models for Infectious Diseases


Connecting The Dots To Combat Collective Fraud


Connecting Touch and Vision via Cross-Modal Prediction


Connecting Vision and Language with Localized Narratives


Connecting Vision and Language with Video Localized Narratives


Connecting What to Say With Where to Look by Modeling Human Attention Traces


Connecting a French Dictionary from the Beginning of the 20th Century to Wikidata


Connecting degree and polarity: An artificial language learning study


Connecting randomized iterative methods with Krylov subspaces


Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer


Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models


Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game


Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries


Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images


Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?


Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data


Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?


Connecting the Hamiltonian structure to the QAOA energy and Fourier landscape structure


Connecting the astronomical testbed community -- the CAOTIC project: Optimized teaching methods for software version control concepts


Connection Reduction of DenseNet for Image Recognition


Connection between galaxy morphology and dark-matter halo structure I: a running threshold for thin discs and size predictors from the dark sector


Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction Sequences


Connections between Schedule-Free Optimizers, AdEMAMix, and Accelerated SGD Variants


Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity


Connectivity Optimized Nested Graph Networks for Crystal Structures


Connectivity matters: Construction and exact random sampling of connected graphs


Connectivity via convexity: Bounds on the edge expansion in graphs


Connectivity-Inspired Network for Context-Aware Recognition


Connectivity-Optimized Representation Learning via Persistent Homology


Connector 0.5: A unified framework for graph representation learning


Conquering the Retina: Bringing Visual in-Context Learning to OCT


Conquery: an open source application to analyze high content healthcare data


Cons-training Tensor Networks: Embedding and Optimization Over Discrete Linear Constraints


ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D Generation


ConsInstancy: Learning Instance Representations for Semi-Supervised Panoptic Segmentation of Concrete Aggregate Particles


ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection


ConsRec: Learning Consensus Behind Interactions for Group Recommendation


Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning


Consecutive Batch Model Editing with HooK Layers


Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain


Consensus Focus for Object Detection and minority classes


Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering


Consensus Learning with Deep Sets for Essential Matrix Estimation


Consensus Maximization Tree Search Revisited


Consensus based optimization via jump-diffusion stochastic differential equations


Consensus on Lie groups for the Riemannian Center of Mass


Consensus-Aware AV Behavior: Trade-offs Between Safety, Interaction, and Performance in Mixed Urban Traffic


Consensus-Aware Visual-Semantic Embedding for Image-Text Matching


Consensus-Based Optimization for Saddle Point Problems


Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception


Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates


Consensus-based adaptive sampling and approximation for high-dimensional energy landscapes


Consentio: Managing Consent to Data Access using Permissioned Blockchains


Consequence-aware Sequential Counterfactual Generation


Consequences of glacial cycles for magmatism and carbon transport at mid-ocean ridges


Consequences of the Moosbauer-Poole Algorithms


Conservation laws for Electron Vortices in Strong-Field Ionisation


Conservation with moving meshes over orography


Conservation, convergence, and computation for evolving heterogeneous elastic wires


Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization


Conservative Closures of the Vlasov-Poisson Equations Based on Symmetrically Weighted Hermite Spectral Expansion


Conservative Objective Models for Effective Offline Model-Based Optimization


Conservative Offline Distributional Reinforcement Learning


Conservative Optimistic Policy Optimization via Multiple Importance Sampling


Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality


Conservative Prediction via Data-Driven Confidence Minimization


Conservative State Value Estimation for Offline Reinforcement Learning


Conservative Time Discretization: A Comparative Study


Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning


Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning


Conservative cosmology: combining data with allowance for unknown systematics


Conservative data-driven model order reduction of a fluid-kinetic spectral solver


Conservative objective models are a special kind of contrastive divergence-based energy model


Conservative semi-lagrangian finite difference scheme for transport simulations using graph neural networks


Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation


Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training


Conserved charges in the quantum simulation of integrable spin chains


Conserved currents for Kerr and orthogonality of quasinormal modes


Considerations When Learning Additive Explanations for Black-Box Models


Considerations for missing data, outliers and transformations in permutation testing for ANOVA, ASCA(+) and related factorizations


Considerations in Bayesian agent-based modeling for the analysis of COVID-19 data


Considerations in the use of ML interaction potentials for free energy calculations


Considering Image Information and Self-similarity: A Compositional Denoising Network


Considering Length Diversity in Retrieval-Augmented Summarization


Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling


Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting


Considering discrepancy when calibrating a mechanistic electrophysiology model


Consisaug: A Consistency-based Augmentation for Polyp Detection in Endoscopy Image Analysis


ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation


ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion


ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation


Consistency Flow Matching: Defining Straight Flows with Velocity Consistency


Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction


Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection


Consistency Models for Scalable and Fast Simulation-Based Inference


Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation


Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series


Consistency Regularization for Adversarial Robustness


Consistency Regularization for Certified Robustness of Smoothed Classifiers


Consistency Regularization for Cross-Lingual Fine-Tuning


Consistency Regularization for Deep Face Anti-Spoofing


Consistency Regularization for Domain Generalization with Logit Attribution Matching


Consistency Regularization for Variational Auto-Encoders


Consistency Training by Synthetic Question Generation for Conversational Question Answering


Consistency and Accuracy of CelebA Attribute Values


Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations


Consistency by Agreement in Zero-shot Neural Machine Translation


Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes


Consistency is the key to further mitigating catastrophic forgetting in continual learning


Consistency of Compositional Generalization across Multiple Levels


Consistency of Neural Causal Partial Identification


Consistency of Neural Networks with Regularization


Consistency of Random Forest Type Algorithms under a Probabilistic Impurity Decrease Condition


Consistency of Regions of Interest as nodes of functional brain networks measured by fMRI


Consistency of a Recurrent Language Model With Respect to Incomplete Decoding


Consistency of augmentation graph and network approximability in contrastive learning


Consistency of heritability estimation from summary statistics in high-dimensional linear models


Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian


Consistency regularization-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis


Consistency-Aware Graph Network for Human Interaction Understanding


Consistency-Aware Recommendation for User-Generated ItemList Continuation


Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration


Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations


Consistency-aware Fake Videos Detection on Short Video Platforms


Consistency-based Active Learning for Object Detection


Consistency-based Self-supervised Learning for Temporal Anomaly Localization


Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation


Consistency-guided Prompt Learning for Vision-Language Models


Consistency-preserving Visual Question Answering in Medical Imaging


ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities


ConsistencyDet: A Few-step Denoising Framework for Object Detection Using the Consistency Model


ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation


ConsistencyTrack: A Robust Multi-Object Tracker with a Generation Strategy of Consistency Model


Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models


Consistent $k$-Median: Simpler, Better and Robust


Consistent Accelerated Inference via Confident Adaptive Transformers


Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation


Consistent Autoformalization for Constructing Mathematical Libraries


Consistent Causal Inference for High-Dimensional Time Series


Consistent Collaborative Filtering via Tensor Decomposition


Consistent Conjectural Variations Equilibrium: Characterization & Stability for a Class of Continuous Games


Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent


Consistent Direct Time-of-Flight Video Depth Super-Resolution


Consistent Document-Level Relation Extraction via Counterfactuals


Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations


Consistent Estimation of Propensity Score Functions with Oversampled Exposed Subjects


Consistent Estimation of a Class of Distances Between Covariance Matrices


Consistent Estimators for Learning to Defer to an Expert


Consistent Explanations by Contrastive Learning


Consistent Feature Selection for Analytic Deep Neural Networks


Consistent Human Image and Video Generation with Spatially Conditioned Diffusion


Consistent Lock-free Parallel Stochastic Gradient Descent for Fast and Stable Convergence


Consistent Model-based Clustering: using the Quasi-Bernoulli Stick-Breaking Process


Consistent Multiclass Algorithms for Complex Metrics and Constraints


Consistent Optimal Transport with Empirical Conditional Measures


Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning


Consistent Point Orientation for Manifold Surfaces via Boundary Integration


Consistent Prompting for Rehearsal-Free Continual Learning


Consistent Quantity-Quality Control across Scenes for Deployment-Aware Gaussian Splatting


Consistent Range Approximation for Fair Predictive Modeling


Consistent Regression using Data-Dependent Coverings


Consistent Representation Learning for Continual Relation Extraction


Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models


Consistent Sparse Deep Learning: Theory and Computation


Consistent Spectral Clustering of Network Block Models under Local Differential Privacy


Consistent Spectrogram Separation from Nonstationary Mixture


Consistent Story Generation with Asymmetry Zigzag Sampling


Consistent Strong Triadic Closure in Multilayer Networks


Consistent Structured Prediction with Max-Min Margin Markov Networks


Consistent Transcription and Translation of Speech


Consistent Two-Flow Network for Tele-Registration of Point Clouds


Consistent Validation for Predictive Methods in Spatial Settings


Consistent Video-to-Video Transfer Using Synthetic Dataset


Consistent and Asymptotically Statistically-Efficient Solution to Camera Motion Estimation


Consistent and Flexible Selectivity Estimation for High-Dimensional Data


Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects


Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods


Consistent coupling of positions and rotations for embedding 1D Cosserat beams into 3D solid volumes


Consistent diffusion matrix estimation from population time series


Consistent eccentricities for gravitational wave astronomy: Resolving discrepancies between astrophysical simulations and waveform models


Consistent model selection in a collection of stochastic block models


Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking


Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection


Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior


ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference


ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving


ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis


Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations


Consolidation of Ground Truth Sets for Weakness Detection in Smart Contracts


Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation


ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments


Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution


Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy


Constant Time Updates in Hierarchical Heavy Hitters


Constant-Depth Circuits for Dynamic Simulations of Materials on Quantum Computers


Constant-Time Predictive Distributions for Gaussian Processes


Constant-time hybrid compilation of Shor's algorithm with quantum just-in-time compilation


Constant-weight PIR: Single-round Keyword PIR via Constant-weight Equality Operators


Constantine: Automatic Side-Channel Resistance Using Efficient Control and Data Flow Linearization


Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban Intersection


Constitutional Precedent of Amicus Briefs


Constrain the Dark Matter Distribution of Ultra-diffuse Galaxies with Globular-Cluster Mass Segregation: A Case Study with NGC5846-UDG1


Constrained Adaptive Projection with Pretrained Features for Anomaly Detection


Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence


Constrained Bayesian Optimization for Automatic Chemical Design


Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull Design


Constrained Bilinear Factorization Multi-view Subspace Clustering


Constrained C-Test Generation via Mixed-Integer Programming


Constrained Causal Bayesian Optimization


Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation


Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems


Constrained Consensus-Based Optimization and Numerical Heuristics for the Few Particle Regime


Constrained CycleGAN for Effective Generation of Ultrasound Sector Images of Improved Spatial Resolution


Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers


Constrained Decoding for Cross-lingual Label Projection


Constrained Decoding for Fill-in-the-Middle Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars


Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue


Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions


Constrained Delaunay Tetrahedrization: A Robust and Practical Approach


Constrained Diffusion with Trust Sampling


Constrained Exploration and Recovery from Experience Shaping


Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics


Constrained Factor Graph Optimization for Robust Networked Pedestrian Inertial Navigation


Constrained Feedforward Neural Network Training via Reachability Analysis


Constrained Few-shot Class-incremental Learning


Constrained Generative Sampling of 6-DoF Grasps


Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks


Constrained Graphic Layout Generation via Latent Optimization


Constrained Hierarchical Monte Carlo Belief-State Planning


Constrained Intrinsic Motivation for Reinforcement Learning


Constrained Labeling for Weakly Supervised Learning


Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning


Constrained Local Search for Last-Mile Routing


Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning


Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming


Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method


Constrained Motion Planning of A Cable-Driven Soft Robot With Compressible Curvature Modeling


Constrained Neural Ordinary Differential Equations with Stability Guarantees


Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics


Constrained Optimal Querying: Huffman Coding and Beyond


Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes


Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching


Constrained Over-the-Air Model Updating for Wireless Online Federated Learning with Delayed Information


Constrained Parameter Inference as a Principle for Learning


Constrained Planarity in Practice -- Engineering the Synchronized Planarity Algorithm


Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach


Constrained Policy Optimization via Bayesian World Models


Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning


Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy


Constrained Prioritized 3T2R Task Control for Robotic Agricultural Spraying


Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction


Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models


Constrained Reinforcement Learning for Dexterous Manipulation


Constrained Reinforcement Learning for Dynamic Material Handling


Constrained Reinforcement Learning for Safe Heat Pump Control


Constrained Reinforcement Learning using Distributional Representation for Trustworthy Quadrotor UAV Tracking Control


Constrained Sampling with Primal-Dual Langevin Monte Carlo


Constrained Sliced Wasserstein Embedding


Constrained Submodular Optimization for Vaccine Design


Constrained Synthesis with Projected Diffusion Models


Constrained Update Projection Approach to Safe Policy Optimization


Constrained Variational Policy Optimization for Safe Reinforcement Learning


Constrained and Vanishing Expressivity of Quantum Fourier Models


Constrained domain adaptation for Image segmentation


Constrained episodic reinforcement learning in concave-convex and knapsack settings


Constrained maximization of conformal capacity


Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field


Constrained multi-cluster game: Distributed Nash equilibrium seeking over directed graphs


Constrained optimization under uncertainty for decision-making problems: Application to Real-Time Strategy games


Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data


Constrained realizations of 2MRS density and peculiar velocity fields: growth rate and local flow


Constrained regret minimization for multi-criterion multi-armed bandits


Constrained scenarios for twenty-first century human population size based on the empirical coupling to economic growth


Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data


Constrained unsupervised anomaly segmentation


ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints


Constraining AGN Torus Sizes with Optical and Mid-Infrared Ensemble Structure Functions


Constraining Cosmological Parameters with Needlet Internal Linear Combination Maps I: Analytic Power Spectrum Formalism


Constraining Cosmological Parameters with Needlet Internal Linear Combination Maps II: Likelihood-Free Inference on NILC Power Spectra


Constraining Dark Matter Substructure With Gaia Wide Binaries


Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells


Constraining Fundamental Physics with the Event Horizon Telescope


Constraining Generative Models for Engineering Design with Negative Data


Constraining Genetic Symbolic Regression via Semantic Backpropagation


Constraining Linear-chain CRFs to Regular Languages


Constraining Primordial Non-Gaussianity with Density-Split Clustering


Constraining Time Dependent Dark Matter Signals from the Sun


Constraining Variational Inference with Geometric Jensen-Shannon Divergence


Constraining a late time transition of $G_{\rm eff}$ using low-z galaxy survey data


Constraining axion-like particles using the white dwarf initial-final mass relation


Constraining cosmology with thermal Sunyaev-Zel'dovich maps: Minkowski functionals, peaks, minima, and moments


Constraining modified gravity with quantum optomechanics


Constraining mornings & evenings on distant worlds: a new semi-analytical approach and prospects with transmission spectroscopy


Constraining parametric deviations from the Kerr spacetime using black hole ringdowns of GW150914 and GW190521


Constraining spatial curvature with large-scale structure


Constraining stellar population parameters from narrow band photometric surveys using convolutional neural networks


Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production


Constraining the Interiors of Asteroids Through Close Encounters


Constraining the Milky Way Mass Profile with Phase-Space Distribution of Satellite Galaxies


Constraining the Milky Way's Ultraviolet to Infrared SED with Gaussian Process Regression


Constraining the Parameters of High-Dimensional Models with Active Learning


Constraining the dense matter equation of state with new NICER mass-radius measurements and new chiral effective field theory inputs


Constraining the dispersion measure redshift relation with simulation-based inference


Constraining the evolution of stellar rotation using solar twins


Constraining the phase shift of relativistic species in DESI BAOs


Constraining the physical properties of large-scale jets from black hole X-ray binaries and their impact on the local environment with blast-wave dynamical models


Constraining the potential of the Milky Way using stellar streams and the Inverse Time Integration method


Constraining the shape of dark matter haloes with globular clusters


Constraining the systematics of (acoustic) wave heating estimates in the solar chromosphere


Constraining νΛCDM with density-split clustering


Constraint Back-translation Improves Complex Instruction Following of Large Language Models


Constraint Guided Gradient Descent: Guided Training with Inequality Constraints


Constraint Model for the Satellite Image Mosaic Selection Problem


Constraint Programming and Constructive Heuristics for Parallel Machine Scheduling with Sequence-Dependent Setups and Common Servers


Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning


Constraint on Early Dark Energy from Isotropic Cosmic Birefringence


Constraint programming methods in three-dimensional container packing


Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning


Constraint-Preconditioned Krylov Solvers for Regularized Saddle-Point Systems


Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders


Constraint-based Sequential Pattern Mining with Decision Diagrams


Constraint-satisfying Krylov solvers for structure-preserving discretisations


ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases


ConstraintMatch for Semi-constrained Clustering


Constraints Preserving Lax-Wendroff Flux Reconstruction for Relativistic Hydrodynamics with General Equations of State


Constraints on Axions from Cosmic Distance Measurements


Constraints on Binary Black Hole Populations from LIGO-Virgo Detections


Constraints on Compact Binary Formation and Effective Gravitational Wave Likelihood Approximation


Constraints on Dark Matter-Dark Energy Scattering from ACT DR6 CMB Lensing


Constraints on Decaying Sterile Neutrinos from Solar Antineutrinos


Constraints on Evolutionary Timescales for M Dwarf Planets from Dynamical Stability Arguments


Constraints on Kinetic Mixing of Dark Photons from Dilepton Spectra


Constraints on Moon's orbit 3.2 billion years ago from tidal bundle data


Constraints on Stellar Flare Energy Ratios in the NUV and Optical From a Multiwavelength Study of GALEX and Kepler Flare Stars


Constraints on dark energy from TDCOSMO & SLACS lenses


Constraints on dark matter and astrophysics from tomographic $γ$-ray cross-correlations


Constraints on primordial black holes for nonstandard cosmologies


Constraints on primordial non-Gaussianity from Quaia


Constraints on the cosmic expansion rate at redshift 2.3 from the Lyman-$α$ forest


Constraints on the dark matter-baryon interaction cross section from galaxy cluster thermodynamics


Constraints on the dust size distributions in the HD 163296 disk from the difference of the apparent dust ring widths between two ALMA Bands


Constraints on the early Universe star formation efficiency from galaxy clustering and halo modeling of H$α$ and [O III] emitters


Constraints on the merging binary neutron star mass distribution and equation of state based on the incidence of jets in the population


Constriction and contact impedance of ceramic solid electrolytes


Construct 3D Hand Skeleton with Commercial WiFi


Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention


Constructing Boundary-identical Microstructures via Guided Diffusion for Fast Multiscale Topology Optimization


Constructing Colloquial Dataset for Persian Sentiment Analysis of Social Microblogs


Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study


Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets


Constructing Custom Thermodynamics Using Deep Learning


Constructing Customized Multi-Hop Topologies in Dense Wireless Network Testbeds


Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence


Constructing Fast Network through Deconstruction of Convolution


Constructing Flow Graphs from Procedural Cybersecurity Texts


Constructing Higher Inductive Types as Groupoid Quotients


Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation


Constructing Human Motion Manifold with Sequential Networks


Constructing Interpretable Prediction Models with 1D DNNs: An Example in Irregular ECG Classification


Constructing Large Nonstationary Spatio-Temporal Covariance Models via Compositional Warpings


Constructing Linear Operators Using Classical Perturbation Theory


Constructing Magic Squares: an integer linear programming model and a fast heuristic


Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization


Constructing Metropolis-Hastings proposals using damped BFGS updates


Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images


Constructing Multiclass Classifiers using Binary Classifiers Under Log-Loss


Constructing Multilingual Code Search Dataset Using Neural Machine Translation


Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features


Constructing Narrative Event Evolutionary Graph for Script Event Prediction


Constructing Neural Network-Based Models for Simulating Dynamical Systems


Constructing Non-Markovian Decision Process via History Aggregator


Constructing Optimal $L_{\infty}$ Star Discrepancy Sets


Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation


Constructing Parsimonious Analytic Models for Dynamic Systems via Symbolic Regression


Constructing Phylogenetic Networks via Cherry Picking and Machine Learning


Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods


Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning


Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective


Constructing Tree-based Index for Efficient and Effective Dense Retrieval


Constructing Trustworthy Smart Contracts


Constructing Word-Context-Coupled Space Aligned with Associative Knowledge Relations for Interpretable Language Modeling


Constructing a Natural Language Inference Dataset using Generative Neural Networks


Constructing a fully homomorphic encryption scheme with the Yoneda Lemma


Constructing accurate and efficient general-purpose atomistic machine learning model with transferable accuracy for quantum chemistry


Constructing all Genus 2 Curves with Supersingular Jacobian


Constructing and Compressing Global Moment Descriptors from Local Atomic Environments


Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation


Constructing and evaluating machine-learned interatomic potentials for Li-based disordered rocksalts


Constructing and explaining machine learning models for chemistry: example of the exploration and design of boron-based Lewis acids


Constructing approximate shell-model wavefunctions by eigenvector continuation


Constructing convex projective 3-manifolds with generalized cusps


Constructing games on networks for controlling the inequalities in the capital distribution


Constructing geometric realizations of birational maps between Mori Dream Spaces


Constructing hierarchical time series through clustering: Is there an optimal way for forecasting?


Constructing long-short stock portfolio with a new listwise learn-to-rank algorithm


Constructing minimally 3-connected graphs


Constructing model-agnostic likelihoods, a method for the reinterpretation of particle physics results


Constructing multi-level urban clusters based on population distributions and interactions


Constructing networks by filtering correlation matrices: A null model approach


Constructing stable, high-order finite-difference operators on point clouds over complex geometries


Constructing structured tensor priors for Bayesian inverse problems


Constructing the space of quasisymmetric stellarators


Constructing trading strategy ensembles by classifying market states


Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph


Construction and application of provable positive and exact cubature formulas


Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars


Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement


Construction of Minimum Spanning Trees from Financial Returns using Rank Correlation


Construction of a Japanese Financial Benchmark for Large Language Models


Construction of a Japanese Word Similarity Dataset


Construction of an invertible mapping to boundary conforming coordinates for arbitrarily shaped toroidal domains


Construction of and efficient sampling from the simplicial configuration model


Construction of conformal maps based on the locations of singularities for improving the double exponential formula


Construction of free curves by adding osculating conics to a given cubic curve


Construction of high-order conservative basis-update and Galerkin dynamical low-rank integrators


Construction of meta-GGA functionals through restoration of exact constraint adherence to regularized SCAN functionals


Construction of multivariate polynomial approximation kernels via semidefinite programming


Construction of optimal spectral methods in phase retrieval


Construction of quasi-potentials for stochastic dynamical systems: an optimization approach


Construction of the Kolmogorov-Arnold representation using the Newton-Kaczmarz method


Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons


Constructions and performance of hyperbolic and semi-hyperbolic Floquet codes


Constructions are Revealed in Word Distributions


Constructions of cospectral graphs with different zero forcing numbers


Constructive Analysis in the Agda Proof Assistant


Constructive Preference Elicitation by Setwise Max-margin Learning


Constructive Preference Elicitation over Hybrid Combinatorial Spaces


Constructive TT-representation of the tensors given as index interaction functions with applications


Constructive Type-Logical Supertagging with Self-Attention Networks


Constructive approaches to concentration inequalities with independent random variables


Constructive characterisations of the must-preorder for asynchrony


Constructive proofs for localized radial solutions of semilinear elliptic systems on $\mathbb{R}^d$


Constructive proofs for some semilinear PDEs on $H^2(e^{|x|^2/4},\mathbb{R}^d)$


Constructive proofs of existence and stability of solitary waves in the Whitham and capillary-gravity Whitham equations


Constructive subsampling of finite frames with applications in optimal function recovery


Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations


Consumer Image Quality Prediction using Recurrent Neural Networks for Spatial Pooling


ConsumerBench: Benchmarking Generative AI Applications on End-User Devices


ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics


Contact Tracing: Computational Bounds, Limitations and Implications


Contact and Human Dynamics from Monocular Video


Contact discontinuities for 2-D isentropic Euler are unique in 1-D but wildly non-unique otherwise


Contact simulation of a 2D Bipedal Robot kicking a ball


Contact-Aided Invariant Extended Kalman Filtering for Legged Robot State Estimation


Contact-Free Simultaneous Sensing of Human Heart Rate and Canine Breathing Rate for Animal Assisted Interactions


Contact-rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control


ContactGen: Generative Contact Modeling for Grasp Generation


ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations


ContactOpt: Optimizing Contact to Improve Grasps


ContactSDF: Signed Distance Functions as Multi-Contact Models for Dexterous Manipulation


Contactless Cardiac Pulse Monitoring Using Event Cameras


Container Localisation and Mass Estimation with an RGB-D Camera


Container Profiler: Profiling Resource Utilization of Containerized Big Data Pipelines


ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation


Containing Malicious Package Updates in npm with a Lightweight Permission System


Contamination Bias in Linear Regressions


Contamination of spectroscopic observations by satellite constellations


Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold


Content Aware Analysis of Scholarly Networks: A Case Study on CORD19 Dataset


Content Based Singing Voice Extraction From a Musical Mixture


Content Caching for Shared Medium Networks Under Heterogeneous Users' Behaviours


Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain Adaptation


Content Planning for Neural Story Generation with Aristotelian Rescoring


Content Selection Network for Document-grounded Retrieval-based Chatbots


Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP


Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss


Content and Salient Semantics Collaboration for Cloth-Changing Person Re-Identification


Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs


Content based singing voice source separation via strong conditioning using aligned phonemes


Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening


Content-Aware Convolutional Neural Networks


Content-Aware Detection of Temporal Metadata Manipulation


Content-Aware Differential Privacy with Conditional Invertible Neural Networks


Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization


Content-Aware Transformer for All-in-one Image Restoration


Content-Based Collaborative Generation for Recommender Systems


Content-Based Landmark Retrieval Combining Global and Local Features using Siamese Neural Networks


Content-Based Search for Deep Generative Models


Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint


Content-Based Weak Supervision for Ad-Hoc Re-Ranking


Content-Consistent Generation of Realistic Eyes with Style


Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency


Content-Variant Reference Image Quality Assessment via Knowledge Distillation


Content-adaptive non-parametric texture similarity measure


Content-aware Neural Hashing for Cold-start Recommendation


Content-aware Scalable Deep Compressed Sensing


Content-aware Tile Generation using Exterior Boundary Inpainting


Content-aware Warping for View Synthesis


Content-based Controls For Music Large Language Modeling


Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model


Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images


Content-based subject classification at article level in biomedical context


ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers


ContentWise Impressions: An Industrial Dataset with Impressions Included


Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning


Context Aware Grounded Teacher for Source Free Object Detection


Context Aware Query Image Representation for Particular Object Retrieval


Context Awareness Gate For Retrieval Augmented Generation


Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs


Context Compression for Auto-regressive Transformers with Sentinel Tokens


Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation


Context Consistency between Training and Testing in Simultaneous Machine Translation


Context De-confounded Emotion Recognition


Context Dependent Semantic Parsing: A Survey


Context Disentangling and Prototype Inheriting for Robust Visual Grounding


Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems


Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection


Context Informed Incremental Learning Improves Myoelectric Control Performance in Virtual Reality Object Manipulation Tasks


Context Label Learning: Improving Background Class Representations in Semantic Segmentation


Context Limitations Make Neural Language Models More Human-Like


Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics


Context Matters: A Theory of Semantic Discriminability for Perceptual Encoding Systems


Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications


Context Matters: Graph-based Self-supervised Representation Learning for Medical Images


Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images


Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images


Context Meta-Reinforcement Learning via Neuromodulation


Context Query Simulation for Smart Carparking Scenarios in the Melbourne CDB


Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection


Context Reinforced Neural Topic Modeling over Short Texts


Context Robust Knowledge Editing for Language Models


Context Selection and Rewriting for Video-based Educational Question Generation


Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs


Context Unaware Knowledge Distillation for Image Retrieval


Context and Geometry Aware Voxel Transformer for Semantic Scene Completion


Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models


Context awareness and embedding for biomedical event extraction


Context encoders as a simple but powerful extension of word2vec


Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings


Context is Key: A Benchmark for Forecasting with Essential Textual Information


Context selectivity with dynamic availability enables lifelong continual learning


Context tree selection for functional data


Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs


Context-Aware Answer Extraction in Question Answering


Context-Aware Attentive Knowledge Tracing


Context-Aware Automatic Occlusion Removal


Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning


Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles


Context-Aware Deep Learning for Multi Modal Depression Detection


Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs


Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models


Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models


Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation


Context-Aware Interaction Network for RGB-T Semantic Segmentation


Context-Aware Legal Citation Recommendation using Deep Learning


Context-Aware Machine Translation with Source Coreference Explanation


Context-Aware Mixup for Domain Adaptive Semantic Segmentation


Context-Aware Outlier Rejection for Robust Multi-View 3D Tracking of Similar Small Birds in An Outdoor Aviary


Context-Aware Prediction of Derivational Word-forms


Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation


Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation


Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation


Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval


Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents


Context-Aware Sequential Model for Multi-Behaviour Recommendation


Context-Aware Sparse Deep Coordination Graphs


Context-Aware Streaming Perception in Dynamic Environments


Context-Aware Synthesis and Placement of Object Instances


Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants


Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction


Context-Aware Toxicity Detection in Multiplayer Games: Integrating Domain-Adaptive Pretraining and Match Metadata


Context-Aware Transfer Attacks for Object Detection


Context-Aware Video Instance Segmentation


Context-Aware Video Reconstruction for Rolling Shutter Cameras


Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics


Context-Based Trit-Plane Coding for Progressive Image Compression


Context-Based Tweet Engagement Prediction


Context-Based Visual-Language Place Recognition


Context-Consistent Semantic Image Editing with Style-Preserved Modulation


Context-DPO: Aligning Language Models for Context-Faithfulness


Context-Dependent Embedding Utterance Representations for Emotion Recognition in Conversations


Context-Dependent Semantic Parsing over Temporally Structured Data


Context-Dependent Word Representation for Neural Machine Translation


Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs


Context-Driven Interactive Query Simulations Based on Generative Large Language Models


Context-Enhanced Memory-Refined Transformer for Online Action Detection


Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis


Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design


Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation


Context-Guided Spatio-Temporal Video Grounding


Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval


Context-Informed Machine Translation of Manga using Multimodal Large Language Models


Context-Infused Visual Grounding for Art


Context-NER : Contextual Phrase Generation at Scale


Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning


Context-Sensitive Generation Network for Handing Unknown Slot Values in Dialogue State Tracking


Context-Tuning: Learning Contextualized Prompts for Natural Language Generation


Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering


Context-adaptive neural network based prediction for image compression


Context-aware CNNs for person head detection


Context-aware Communication for Multi-agent Reinforcement Learning


Context-aware Decoding Reduces Hallucination in Query-focused Summarization


Context-aware Deep Feature Compression for High-speed Visual Tracking


Context-aware Difference Distilling for Multi-change Captioning


Context-aware Entity Typing in Knowledge Graphs


Context-aware Event Forecasting via Graph Disentanglement


Context-aware Feature Generation for Zero-shot Semantic Segmentation


Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs


Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning


Context-aware Multi-Model Object Detection for Diversely Heterogeneous Compute Systems


Context-aware Multi-task Learning for Pedestrian Intent and Trajectory Prediction


Context-aware Multimodal AI Reveals Hidden Pathways in Five Centuries of Art Evolution


Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues


Context-aware Retail Product Recommendation with Regularized Gradient Boosting


Context-aware Session-based Recommendation with Graph Neural Networks


Context-aware Stand-alone Neural Spelling Correction


Context-aware and Scale-insensitive Temporal Repetition Counting


Context-aware knowledge graph framework for traffic speed forecasting using graph neural network


Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification


Context-aware multi-head self-attentional neural network model for next location prediction


Context-aware robot control using gesture episodes


Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting


Context-based Normalization of Histological Stains using Deep Convolutional Features


Context-enriched molecule representations improve few-shot drug discovery


Context-faithful Prompting for Large Language Models


Context-guided Responsible Data Augmentation with Diffusion Models


Context-specific kernel-based hidden Markov model for time series analysis


ContextCite: Attributing Model Generation to Context


ContextDesc: Local Descriptor Augmentation with Cross-Modality Context


ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding


ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation)


ContextGNN: Beyond Two-Tower Recommendation Systems


ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model


ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning


ContextMix: A context-aware data augmentation method for industrial visual inspection systems


ContextRef: Evaluating Referenceless Metrics For Image Description Generation


ContextRefine-CLIP for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2025


Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning Systems


Contextual AD Narration with Interleaved Multimodal Sequence


Contextual Attention Network: Transformer Meets U-Net


Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations


Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework


Contextual Bandit with Adaptive Feature Extraction


Contextual Bandits with Large Action Spaces: Made Practical


Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces


Contextual Bandits with Stochastic Experts


Contextual Bilevel Reinforcement Learning for Incentive Alignment


Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image Denoising


Contextual Clarity: Generating Sentences with Transformer Models using Context-Reverso Data


Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks


Contextual Combinatorial Bandits with Changing Action Sets via Gaussian Processes


Contextual Convolutional Neural Networks


Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization


Contextual Dialogue Act Classification for Open-Domain Conversational Agents


Contextual Distortion Reveals Constituency: Masked Language Models are Implicit Parsers


Contextual Diversity for Active Learning


Contextual Dropout: An Efficient Sample-Dependent Dropout Module


Contextual Embedding Learning to Enhance 2D Networks for Volumetric Image Segmentation


Contextual Encoding for Translation Quality Estimation


Contextual Explainable Video Representation: Human Perception-based Understanding


Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback


Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations


Contextual Gradient Scaling for Few-Shot Learning


Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs


Contextual Grounding of Natural Language Entities in Images


Contextual Importance and Utility in Python: New Functionality and Insights with the py-ciu Package


Contextual Importance and Utility: aTheoretical Foundation


Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videos


Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation


Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning


Contextual Knowledge Pursuit for Faithful Visual Synthesis


Contextual Label Projection for Cross-Lingual Structured Prediction


Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles


Contextual Linear Optimization with Bandit Feedback


Contextual Modulation for Relation-Level Metaphor Identification


Contextual Molecule Representation Learning from Chemical Reaction Knowledge


Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns


Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations


Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search


Contextual Object Detection with Multimodal Large Language Models


Contextual Out-of-Domain Utterance Handling With Counterfeit Data Augmentation


Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning


Contextual Representation Learning beyond Masked Language Modeling


Contextual Semantic Embeddings for Ontology Subsumption Prediction


Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports


Contextual Similarity Aggregation with Self-attention for Visual Re-ranking


Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification


Contextual Subspace Variational Quantum Eigensolver


Contextual Vision Transformers for Robust Representation Learning


Contextual bandits with entropy-based human feedback


Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question Answering


Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation


ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context


Contextuality Helps Representation Learning for Generalized Category Discovery


Contextuality degree of quadrics in multi-qubit symplectic polar spaces


Contextuality in composite systems: the role of entanglement in the Kochen-Specker theorem


Contextualization Distillation from Large Language Model for Knowledge Graph Completion


Contextualization with SPLADE for High Recall Retrieval


Contextualized Data-Wrangling Code Generation in Computational Notebooks


Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization


Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors


Contextualized Perturbation for Textual Adversarial Attack


Contextualized Rewriting for Text Summarization


Contextualized Scene Imagination for Generative Commonsense Reasoning


Contextualized Sensorimotor Norms: multi-dimensional measures of sensorimotor strength for ambiguous English words, in context


Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation


Contextualized Sparse Representations for Real-Time Open-Domain Question Answering


Contextualized Structural Self-supervised Learning for Ontology Matching


Contextualized Word Representations for Reading Comprehension


Contextualized language models for semantic change detection: lessons learned


Contextualizing Argument Quality Assessment with Relevant Knowledge


Contextualizing Emerging Trends in Financial News Articles


Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale


Contextualizing Meta-Learning via Learning to Decompose


Contextualizing biological perturbation experiments through language


Contextually Affinitive Neighborhood Refinery for Deep Clustering


Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting


Contextually Propagated Term Weights for Document Representation


Contextually-rich human affect perception using multimodal scene information


ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling


Contiguous Zero-Copy for Encrypted Transport Protocols


Continental-scale streamflow modeling of basins with reservoirs: towards a coherent deep-learning-based strategy


Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models


Contingency Constrained Planning with MPPI within MPPI


Contingency Planning Using Bi-level Markov Decision Processes for Space Missions


Contingency-Aware Influence Maximization: A Reinforcement Learning Approach


Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling


Continual Adaptation of Vision Transformers for Federated Learning


Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure


Continual Attentive Fusion for Incremental Learning in Semantic Segmentation


Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature


Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation


Continual Collaborative Distillation for Recommender System


Continual Contrastive Learning for Image Classification


Continual Deep Learning by Functional Regularisation of Memorable Past


Continual Dialogue State Tracking via Example-Guided Question Answering


Continual Dialogue State Tracking via Reason-of-Select Distillation


Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal


Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather


Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation


Continual Event Extraction with Semantic Confusion Rectification


Continual Evidential Deep Learning for Out-of-Distribution Detection


Continual Few-shot Event Detection via Hierarchical Augmentation Networks


Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation


Continual General Chunking Problem and SyncMap


Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition


Continual Gradient Low-Rank Projection Fine-Tuning for LLMs


Continual Hippocampus Segmentation with Transformers


Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach


Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models


Continual Learning Approaches for Anomaly Detection


Continual Learning For On-Device Environmental Sound Classification


Continual Learning In Environments With Polynomial Mixing Times


Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study


Continual Learning Using a Kernel-Based Method Over Foundation Models


Continual Learning and Private Unlearning


Continual Learning by Modeling Intra-Class Variation


Continual Learning for Abdominal Multi-Organ and Tumor Segmentation


Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach


Continual Learning for Behavior-based Driver Identification


Continual Learning for Blind Image Quality Assessment


Continual Learning for Generative Retrieval over Dynamic Corpora


Continual Learning for Human State Monitoring


Continual Learning for Image Segmentation with Dynamic Query


Continual Learning for Image-Based Camera Localization


Continual Learning for Infinite Hierarchical Change-Point Detection


Continual Learning for Instruction Following from Realtime Feedback


Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data


Continual Learning for Monolingual End-to-End Automatic Speech Recognition


Continual Learning for Out-of-Distribution Pedestrian Detection


Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference


Continual Learning for Segment Anything Model Adaptation


Continual Learning for Sentence Representations Using Conceptors


Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking


Continual Learning for Text Classification with Information Disentanglement Based Regularization


Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data


Continual Learning from Demonstration of Robotics Skills


Continual Learning in Low-rank Orthogonal Subspaces


Continual Learning in Medical Imaging: A Survey and Practical Analysis


Continual Learning in Open-vocabulary Classification with Complementary Memory Systems


Continual Learning in Recurrent Neural Networks


Continual Learning in Task-Oriented Dialogue Systems


Continual Learning in the Frequency Domain


Continual Learning of Context-dependent Processing in Neural Networks


Continual Learning of Control Primitives: Skill Discovery via Reset-Games


Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing


Continual Learning of Knowledge Graph Embeddings


Continual Learning of Large Language Models: A Comprehensive Survey


Continual Learning of Long Topic Sequences in Neural Information Retrieval


Continual Learning of Multi-modal Dynamics with External Memory


Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions


Continual Learning of Unsupervised Monocular Depth from Videos


Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks


Continual Learning on Dynamic Graphs via Parameter Isolation


Continual Learning on Graphs: Challenges, Solutions, and Opportunities


Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation


Continual Learning via Bit-Level Information Preserving


Continual Learning via Local Module Composition


Continual Learning via Sequential Function-Space Variational Inference


Continual Learning with Deep Streaming Regularized Discriminant Analysis


Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates


Continual Learning with Echo State Networks


Continual Learning with Foundation Models: An Empirical Study of Latent Replay


Continual Learning with Gated Incremental Memories for sequential data processing


Continual Learning with Guarantees via Weight Interval Constraints


Continual Learning with Knowledge Transfer for Sentiment Classification


Continual Learning with Scaled Gradient Projection


Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection


Continual Learning with Strong Experience Replay


Continual Learning with Weight Interpolation


Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay


Continual Memorization of Factoids in Large Language Models


Continual Multimodal Knowledge Graph Construction


Continual Named Entity Recognition without Catastrophic Forgetting


Continual Normalization: Rethinking Batch Normalization for Online Continual Learning


Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism


Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay


Continual Panoptic Perception: Towards Multi-modal Incremental Interpretation of Remote Sensing Images


Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation


Continual Pre-Training Mitigates Forgetting in Language and Vision


Continual Prompt Tuning for Dialog State Tracking


Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams


Continual Prune-and-Select: Class-incremental learning with specialized subnetworks


Continual Rare-Class Recognition with Emerging Novel Subclasses


Continual Referring Expression Comprehension via Dual Modular Memorization


Continual Reinforcement Learning with Multi-Timescale Replay


Continual Representation Learning for Biometric Identification


Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning


Continual Semi-Supervised Learning through Contrastive Interpolation Consistency


Continual Task Allocation in Meta-Policy Network via Sparse Prompting


Continual Task Learning through Adaptive Policy Self-Composition


Continual Training of Language Models for Few-Shot Learning


Continual Transformers: Redundancy-Free Attention for Online Inference


Continual Unsupervised Domain Adaptation for Semantic Segmentation


Continual VQA for Disaster Response Systems


Continual Variational Autoencoder Learning via Online Cooperative Memorization


Continual World: A Robotic Benchmark For Continual Reinforcement Learning


Continual Zero-Shot Learning through Semantically Guided Generative Random Walks


Continual adaptation for efficient machine communication


Continual and Multi-Task Architecture Search


Continual atlas-based segmentation of prostate MRI


Continual evaluation for lifelong learning: Identifying the stability gap


Continual learning for surface defect segmentation by subnetwork creation and selection


Continual learning of longitudinal health records


Continual learning using hash-routed convolutional neural networks


Continually Improving Extractive QA via Human Feedback


Continually Learning Self-Supervised Representations with Projected Functional Regularization


Continuation Newton methods with deflation techniques for global optimization problems


Continuation Path Learning for Homotopy Optimization


Continuation methods as a tool for parameter inference in electrophysiology modeling


Continuation of Periodic Orbits in Conservative Hybrid Dynamical Systems and its Application to Mechanical Systems with Impulsive Dynamics


Continuation of spatially localized periodic solutions in discrete NLS lattices via normal forms


Continued Pretraining for Better Zero- and Few-Shot Promptability


Continuing progress toward fusion energy breakeven and gain as measured against the Lawson criteria


Continuity Preserving Online CenterLine Graph Learning


Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations


Continuity scaling: A rigorous framework for detecting and quantifying causality accurately


Continuity-Aware Latent Interframe Information Mining for Reliable UAV Tracking


ContinuouSP: Generative Model for Crystal Structure Prediction with Invariance and Continuity


Continuous 3D Label Stereo Matching using Local Expansion Moves


Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts


Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments


Continuous Attractor Networks for Laplace Neural Manifolds


Continuous Average Straightness in Spatial Graphs


Continuous Blackjack: Equilibrium, Deviation and Adaptive Strategy


Continuous Cartesian Genetic Programming based representation for Multi-Objective Neural Architecture Search


Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms


Continuous Conditional Random Field Convolution for Point Cloud Segmentation


Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition


Continuous Control With Ensemble Deep Deterministic Policy Gradients


Continuous Cross-resolution Remote Sensing Image Change Detection


Continuous DR-submodular Maximization: Structure and Algorithms


Continuous Decomposition of Granularity for Neural Paraphrase Generation


Continuous Deep Learning: A Workflow to Bring Models into Production


Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-Tuning


Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks


Continuous Diffusion Model for Language Modeling


Continuous Diffusion for Mixed-Type Tabular Data


Continuous Doubly Constrained Batch Reinforcement Learning


Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models


Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion


Continuous Ensemble Weather Forecasting with Diffusion models


Continuous Entailment Patterns for Lexical Inference in Context


Continuous Forecasting via Neural Eigen Decomposition


Continuous Galerkin Schemes for Semi-Explicit Differential-Algebraic Equations


Continuous Generative Neural Networks: A Wavelet-Based Architecture in Function Spaces


Continuous Indeterminate Probability Neural Network


Continuous Integration and Software Quality: A Causal Explanatory Study


Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation


Continuous Language Model Interpolation for Dynamic and Controllable Text Generation


Continuous Learning for Android Malware Detection


Continuous Locomotive Crowd Behavior Generation


Continuous Management of Machine Learning-Based Application Behavior


Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions


Continuous Memory Representation for Anomaly Detection


Continuous Mixtures of Tractable Probabilistic Models


Continuous Multi-Task Pre-training for Malicious URL Detection and Webpage Classification


Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision


Continuous Occupancy Mapping in Dynamic Environments Using Particles


Continuous Offline Handwriting Recognition using Deep Learning Models


Continuous Outlier Mining of Streaming Data in Flink


Continuous PDE Dynamics Forecasting with Implicit Neural Representations


Continuous Patient Monitoring with AI: Real-Time Analysis of Video in Hospital Care Settings


Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Applications


Continuous Piecewise-Affine Based Motion Model for Image Animation


Continuous Pose for Monocular Cameras in Neural Implicit Representation


Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records


Continuous Preintegration Theory for Graph-based Visual-Inertial Navigation


Continuous Product Graph Neural Networks


Continuous Prompt Generation from Linear Combination of Discrete Prompt Embeddings


Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing


Continuous Reachability Task Transition Using Control Barrier Functions


Continuous Reasoning for Managing Next-Gen Distributed Applications


Continuous Release of Data Streams under both Centralized and Local Differential Privacy


Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space


Continuous Representation Methods, Theories, and Applications: An Overview and Perspectives


Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks


Continuous Sign Language Recognition with Correlation Network


Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health


Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation


Continuous Speculative Decoding for Autoregressive Image Generation


Continuous Speech Tokenizer in Text To Speech


Continuous Time Evidential Distributions for Irregular Time Series


Continuous Time Frank-Wolfe Does Not Zig-Zag, But Multistep Methods Do Not Accelerate


Continuous Time Locally Stationary Wavelet Processes


Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp


Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing


Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay