Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation


Commonsense-Focused Dialogues for Response Generation: An Empirical Study


CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge


Communicate to Play: Pragmatic Reasoning for Efficient Cross-Cultural Communication in Codenames


Communicating Likelihoods with Normalising Flows


Communicating Smartly in the Molecular Domain: Neural Networks in the Internet of Bio-Nano Things


Communicating via Markov Decision Processes


Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates


Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions


Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off


Communication Efficient Distributed Newton Method with Fast Convergence Rates


Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter


Communication Efficient Private Federated Learning Using Dithering


Communication Efficient and Privacy-Preserving Federated Learning Based on Evolution Strategies


Communication Efficient and Provable Federated Unlearning


Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving


Communication Topology Co-Design in Graph Recurrent Neural Network Based Distributed Control


Communication breakdown: On the low mutual intelligibility between human and neural captioning


Communication network model of the immune system identifies the impact of interactions with SARS-CoV-2 proteins


Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks


Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation


Communication-Censored Distributed Stochastic Gradient Descent


Communication-Censored-ADMM for Electric Vehicle Charging in Unbalanced Distribution Grids


Communication-Computation Trade-Off in Resource-Constrained Edge Inference


Communication-Constrained Multi-Robot Exploration with Intermittent Rendezvous


Communication-Efficient (Weighted) Reservoir Sampling from Fully Distributed Data Streams


Communication-Efficient ADMM-based Federated Learning


Communication-Efficient Algorithms for Solving Pressure Poisson Equation for Multiphase Flows using Parallel Computers


Communication-Efficient Collaborative Perception via Information Filling with Codebook


Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback


Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging


Communication-Efficient Distributed SVD via Local Power Iterations


Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks


Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation


Communication-Efficient Federated Learning with Accelerated Client Gradient


Communication-Efficient Federated Learning with Binary Neural Networks


Communication-Efficient Federated Learning with Compensated Overlap-FedAvg


Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis


Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates


Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum


Communication-Efficient Laplace Mechanism for Differential Privacy via Random Quantization


Communication-Efficient Multi-Device Inference Acceleration for Transformer Models


Communication-Efficient Reinforcement Learning in Swarm Robotic Networks for Maze Exploration


Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning


Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate


Communication-Efficient Triangle Counting under Local Differential Privacy


Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications


Communication-Efficient and Privacy-Adaptable Mechanism for Federated Learning


Communication-Safe Web Programming in TypeScript with Routed Multiparty Session Types


Communication-aware Drone Delivery Problem


Communication-based Evaluation for Natural Language Generation


Communication-efficient Vertical Federated Learning via Compressed Error Feedback


Communication-efficient distributed eigenspace estimation


Communication-free and Parallel Simulation of Neutral Biodiversity Models


Communicative Message Passing for Inductive Relation Reasoning


Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images


Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction


Communicative need modulates competition in language change


Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures


Community Cellular Networks Coverage Visualizer


Community Detection by Information Flow Simulation


Community Detection in Bipartite Networks with Stochastic Blockmodels


Community Detection in Large-Scale Complex Networks via Structural Entropy Game


Community Detection in Multiplex Networks


Community Detection in Weighted Multilayer Networks with Ambient Noise


Community Detection in networks by Dynamical Optimal Transport Formulation


Community Detection in the Stochastic Block Model by Mixed Integer Programming


Community Detection with the Map Equation and Infomap: Theory and Applications


Community Forensics: Using Thousands of Generators to Train Fake Image Detectors


Community Formation and Detection on GitHub Collaboration Networks


Community Member Retrieval on Social Media using Textual Information


Community Needs and Assets: A Computational Analysis of Community Conversations


Community Recovery on Noisy Stochastic Block Models


Community Regularization of Visually-Grounded Dialog


Community Search: A Meta-Learning Approach


Community and hyperedge inference in multiple hypergraphs


Community detectability and structural balance dynamics in signed networks


Community detection and reciprocity in networks by jointly modeling pairs of edges


Community detection for directed networks revisited using bimodularity


Community detection in bipartite signed networks is highly dependent on parameter choice


Community detection in networks without observing edges


Community detection of hypergraphs by Ricci flow


Community detection over a heterogeneous population of non-aligned networks


Community detection using fast low-cardinality semidefinite programming


Community detection using preference networks


Community detection with node attributes in multilayer networks


Community recovery in non-binary and temporal stochastic block models


Community targets for JWST's early release science program: evaluation of WASP-63b


Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs


Community-Aware Transformer for Autism Prediction in fMRI Connectome


Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction


Community-Empowered Air Quality Monitoring System


Community-Invariant Graph Contrastive Learning


Community-based 3-SAT Formulas with a Predefined Solution


Community-centric modeling of citation dynamics explains collective citation patterns in science, law, and patents


CommunityGAN: Community Detection with Generative Adversarial Nets


CommunityLM: Probing Partisan Worldviews from Language Models


Commutative Lie Group VAE for Disentanglement Learning


Commuter Count: Inferring Travel Patterns from Location Data


Comorbid anxiety predicts lower odds of depression improvement during smartphone-delivered psychotherapy


Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography


CompAct: Compressing Retrieved Documents Actively for Question Answering


CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation


CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization


CompRess: Self-Supervised Learning by Compressing Representations


CompSuite: A Dataset of Java Library Upgrade Incompatibility Issues


CompaCT: Fractal-Based Heuristic Pixel Segmentation for Lossless Compression of High-Color DICOM Medical Images


Compact 3D Scene Representation via Self-Organizing Gaussian Grids


Compact Bayesian Neural Networks via pruned MCMC sampling


Compact Bidirectional Transformer for Image Captioning


Compact Drawings of 1-Planar Graphs with Right-Angle Crossings and Few Bends


Compact Factorization of Matrices Using Generalized Round-Rank


Compact Finite Differences and Cubic Splines


Compact Global Descriptor for Neural Networks


Compact Graph Architecture for Speech Emotion Recognition


Compact Graph Structure Learning via Mutual Information Compression


Compact Language Models via Pruning and Knowledge Distillation


Compact Model Parameter Extraction via Derivative-Free Optimization


Compact Model Training by Low-Rank Projection with Energy Transfer


Compact Probe Request Fingerprinting with Asymmetric Pairwise Boosting


Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction


Compact Transformer Tracker with Correlative Masked Modeling


Compact Trilinear Interaction for Visual Question Answering


Compact Twice Fusion Network for Edge Detection


Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification


Compact and Efficient Neural Networks for Image Recognition Based on Learned 2D Separable Transform


Compact and Optimal Deep Learning with Recurrent Parameter Generators


Compact atomic descriptors enable accurate predictions via linear models


Compact mixed-integer programming relaxations in quadratic optimization


Compact representations of convolutional neural networks via weight pruning and quantization


Compact-Object Mergers in the Galactic Center: Evolution in Triaxial Clusters


Compact: Approximating Complex Activation Functions for Secure Computation


CompactIE: Compact Facts in Open Information Extraction


CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks


Compactification of the Rigid Motions Group in Image Processing


Compacting Squares: Input-Sensitive In-Place Reconfiguration of Sliding Squares


Compaction and Melt Transport in Ammonia-Rich Ice Shells: Implications for the Evolution of Triton


Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks


Comparative Analysis for Quick Sort Algorithm under four Different Modes of Execution


Comparative Analysis of AI Agent Architectures for Entity Relationship Classification


Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis


Comparative Analysis of Box-Covering Algorithms for Fractal Networks


Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos


Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting


Comparative Analysis of Diffusion Generative Models in Computational Pathology


Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb


Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification


Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks


Comparative Analysis of NMPC and Fuzzy PID Controllers for Trajectory Tracking in Omni-Drive Robots: Design, Simulation, and Performance Evaluation


Comparative Analysis of Pretrained Audio Representations in Music Recommender Systems


Comparative Analysis of TRGBs (CATs) from Unsupervised, Multi-Halo-Field Measurements: Contrast is Key


Comparative Analysis of Tight-Binding models for Transition Metal Dichalcogenides


Comparative Analysis of Word Embeddings for Capturing Word Similarities


Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy


Comparative Analysis: Violence Recognition from Videos using Transfer Learning


Comparative Document Summarisation via Classification


Comparative Evaluation of Animated Scatter Plot Transitions


Comparative Evaluation of Clustered Federated Learning Methods


Comparative Evaluation of Learning Models for Bionic Robots: Non-Linear Transfer Function Identifications


Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading


Comparative Image Alignment for Multiple Telescopes: ALMA, IRIS, SDO


Comparative Opinion Summarization via Collaborative Decoding


Comparative Sentiment Analysis of App Reviews


Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification


Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests


Comparative Study of Generative Models for Early Detection of Failures in Medical Devices


Comparative Study of Indicators of Chaos in the Closed and Open Dicke Model


Comparative Study of Multilingual Idioms and Similes in Large Language Models


Comparative Study of Probabilistic Atlas and Deep Learning Approaches for Automatic Brain Tissue Segmentation from MRI Using N4 Bias Field Correction and Anisotropic Diffusion Pre-processing Techniques


Comparative Study of Speech Analysis Methods to Predict Parkinson's Disease


Comparative Study on the Performance of Categorical Variable Encoders in Classification and Regression Tasks


Comparative Verification of the Digital Library of Mathematical Functions and Computer Algebra Systems


Comparative Withholding Behavior Analysis of Historical Energy Storage Bids in California


Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring


Comparative analysis on the selection of number of clusters in community detection


Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data


Comparative evaluation of CNN architectures for Image Caption Generation


Comparative evaluation of community-aware centrality measures


Comparative evaluation of point process forecasts


Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients


Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision


Compare different SG-Schemes based on large least square problems


Compare the Pair: Rotated vs. Unrotated Surface Codes at Equal Logical Error Rates


Compare without Despair: Reliable Preference Evaluation with Generation Separability


Comparing AI Algorithms for Optimizing Elliptic Curve Cryptography Parameters in e-Commerce Integrations: A Pre-Quantum Analysis


Comparing Active Learning Performance Driven by Gaussian Processes or Bayesian Neural Networks for Constrained Trajectory Exploration


Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization


Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy


Comparing BilevelJuMP.jl Formulations: Support Vector Regression Hyperparameter Tuning


Comparing Causal Inference Methods for Point Exposures with Missing Confounders: A Simulation Study


Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?


Comparing Comparators in Generalization Bounds


Comparing Confidence Intervals for a Binomial Proportion with the Interval Score


Comparing Correspondences: Video Prediction with Correspondence-wise Losses


Comparing Deep Learning Models for Rice Mapping in Bhutan Using High Resolution Satellite Imagery


Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains


Comparing Different Uncertainty Measures to Quantify Measurement Uncertainties in High School Science Experiments


Comparing Differentiable Logics for Learning Systems: A Research Preview


Comparing Distance Bounding Protocols: a Critical Mission Supported by Decision Theory


Comparing EM with GD in Mixture Models of Two Components


Comparing Embedded Graphs Using Average Branching Distance


Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision Kernels


Comparing Experimental and Nonexperimental Methods: What Lessons Have We Learned Four Decades After LaLonde (1986)?


Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models


Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Tasks


Comparing Feature Importance and Rule Extraction for Interpretability on Text Data


Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training


Comparing Graph Transformers via Positional Encodings


Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution


Comparing Hysteresis Comparator and RMS Threshold Methods for Automatic Single Cough Segmentations


Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance


Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning


Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation


Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data


Comparing Lasso and Adaptive Lasso in High-Dimensional Data: A Genetic Survival Analysis in Triple-Negative Breast Cancer


Comparing Machine Learning Algorithms by Union-Free Generic Depth


Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction


Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games


Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations


Comparing Morse Complexes Using Optimal Transport: An Experimental Study


Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data


Comparing Optimization Targets for Contrast-Consistent Search


Comparing Personalized Relevance Algorithms for Directed Graphs


Comparing Perturbation Models for Evaluating Stability of Neuroimaging Pipelines


Comparing Point Cloud Strategies for Collider Event Classification


Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning


Comparing Python, Go, and C++ on the N-Queens Problem


Comparing Rewinding and Fine-tuning in Neural Network Pruning


Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records


Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing


Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition


Comparing Spatial Regression to Random Forests for Large Environmental Data Sets


Comparing Step Counting Algorithms for High-Resolution Wrist Accelerometry Data in NHANES 2011-2014


Comparing Template-based and Template-free Language Model Probing


Comparing Temporal Graphs Using Dynamic Time Warping


Comparing Text Representations: A Theory-Driven Approach


Comparing Two Samples Through Stochastic Dominance: A Graphical Approach


Comparing Ways of Obtaining Candidate Orderings from Approval Ballots


Comparing and combining some popular NER approaches on Biomedical tasks


Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts


Comparing baseball players across eras via novel Full House Modeling


Comparing deep neural networks against humans: object recognition when the signal gets weaker


Comparing different subgradient methods for solving convex optimization problems with functional constraints


Comparing differentiable logics for learning with logical constraints


Comparing directed networks via denoising graphlet distributions


Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing


Comparing diversity, negativity, and stereotypes in Chinese-language AI technologies: an investigation of Baidu, Ernie and Qwen


Comparing intervention measures in a model of a disease outbreak on a university campus


Comparing intrusive and non-intrusive polynomial chaos for a class of exponential time differencing schemes


Comparing lifetime learning methods for morphologically evolving robots


Comparing methods addressing multi-collinearity when developing prediction models


Comparing multiple latent space embeddings using topological analysis


Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-rays


Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies


Comparing restricted mean survival times in small sample clinical trials using pseudo-observations


Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lag


Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging


Comparing the Effects of Visual, Haptic, and Visuohaptic Encoding on Memory Retention of Digital Objects in Virtual Reality


Comparing the Finite-Time Performance of Simulation-Optimization Algorithms


Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks


Comparing the Robustness of Simple Network Scale-Up Method (NSUM) Estimators


Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata


Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation


Comparing the effectiveness of k-different treatments through the area under the ROC curve


Comparing the efficiency of forward and backward contact tracing


Comparing the information content of probabilistic representation spaces


Comparing the latent space of generative models


Comparing the market microstructure between two South African exchanges


Comparing the willingness to share for human-generated vs. AI-generated fake news


Comparing two spatial variables with the probability of agreement


Comparing with Python: Text Analysis in Stata


Comparison Between Effective and Individual Growth Rates in a Heterogeneous Population


Comparison Between Robust and Stochastic Optimisation for Long-term Reservoir Operations Under Uncertainty


Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection


Comparison Knowledge Translation for Generalizable Image Classification


Comparison Of Deep Object Detectors On A New Vulnerable Pedestrian Dataset


Comparison Performance of Spectrogram and Scalogram as Input of Acoustic Recognition Task


Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning


Comparison analysis between standard polysomnographic data and in-ear-EEG signals: A preliminary study


Comparison and Analysis of New Curriculum Criteria for End-to-End ASR


Comparison and Benchmark of Graph Clustering Algorithms


Comparison between Behavior Trees and Finite State Machines


Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification


Comparison between time-domain and frequency-domain Bayesian inferences to inspiral-merger-ringdown gravitational-wave signals


Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics


Comparison of Algorithms for Simple Stochastic Games


Comparison of Anomaly Detectors: Context Matters


Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering


Comparison of CYGNSS and Jason-3 Wind Speed Measurements via Gaussian Processes


Comparison of Canonical Correlation and Partial Least Squares analyses of simulated and empirical data


Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis


Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI


Comparison of Combination Methods to Create Calibrated Ensemble Forecasts for Seasonal Influenza in the U.S


Comparison of Different Machine Learning Approaches to Predict Viscosity of Tri-n-Butyl Phosphate Mixtures Using Experimental Data


Comparison of Different Methods to Determine the Distance to LMC


Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms


Comparison of Distances for Supervised Segmentation of White Matter Tractography


Comparison of Forecasting Methods of House Electricity Consumption for Honda Smart Home


Comparison of Graphcore IPUs and Nvidia GPUsfor cosmology applications


Comparison of HDR quality metrics in Per-Clip Lagrangian multiplier optimisation with AV1


Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB


Comparison of Image Quality Models for Optimization of Image Processing Systems


Comparison of L2 Korean pronunciation error patterns from five L1 backgrounds by using automatic phonetic transcription


Comparison of Large Language Models for Generating Contextually Relevant Questions


Comparison of Lumerical FDTD and Tidy3D for three-dimensional FDTD simulations of passive silicon photonic components


Comparison of Minimization Methods for Rosenbrock Functions


Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation


Comparison of Multi-response Prediction Methods


Comparison of Path Planning Algorithms for Autonomous Vehicle Navigation Using Satellite and Airborne LiDAR Data


Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation


Comparison of REML methods for the study of phenome-wide genetic variation


Comparison of Randomized Solutions for Constrained Vehicle Routing Problem


Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery


Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios


Comparison of State-of-the-Art Deep Learning APIs for Image Multi-Label Classification using Semantic Metrics


Comparison of Static Analysis Architecture Recovery Tools for Microservice Applications


Comparison of Step Samplers for Nested Sampling


Comparison of Stochastic Parametrization Schemes using Data Assimilation on Triad Models


Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades


Comparison of algorithms used in single-cell transcriptomic data analysis


Comparison of block-based and hybrid-based environments in transferring programming skills to text-based environments


Comparison of convolutional neural networks for cloudy optical images reconstruction from single or multitemporal joint SAR and optical images


Comparison of different Methods for Univariate Time Series Imputation in R


Comparison of different Tidal Disruption Event light curve models with TiDE, a new modular open source code


Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline induced epileptiform activity


Comparison of global sensitivity analysis methods for a fire spread model with a segmented characteristic


Comparison of home detection algorithms using smartphone GPS data


Comparison of integral equation theories of the liquid state


Comparison of lubrication theory and Stokes flow models in step bearings with flow separation


Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects


Comparison of modern open-source visual SLAM approaches


Comparison of neural closure models for discretised PDEs


Comparison of parallel sorting algorithms


Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model


Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case


Comparison of recent estimators of uncertainty on the mean for small measurement samples with normal and non-normal error distributions


Comparison of semi-supervised deep learning algorithms for audio classification


Comparison of simulated and measured grain volume changes during grain growth


Comparison of single and multitask learning for predicting cognitive decline based on MRI data


Comparison of spatial distributions of Intracluster light and Dark Matter


Comparison of static and dynamic random forests models for EHR data in the presence of competing risks: predicting central line-associated bloodstream infection


Comparison of surface thermal patterns of horses and donkeys in IRT images


Comparison of the clock, stochastic cutoff, and Tomita Monte Carlo methods in simulating the dipolar triangular lattice at criticality


Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario


Comparison-based Conversational Recommender System with Relative Bandit Feedback


ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty


Comparisons of two-stage models for flood mitigation of electrical substations


Compartment model of strategy-dependent time delays in replicator dynamics


Compatibility and accessibility: lattice representations for semantics of non-classical and modal logics


Compatible Gradient Approximations for Actor-Critic Algorithms


Compatible Transformer for Irregularly Sampled Multivariate Time Series


Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategy


CompenHR: Efficient Full Compensation for High-resolution Projector


CompenNet++: End-to-end Full Projector Compensation


Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation


Compensation Learning in Semantic Segmentation


Compensation Sampling for Improved Convergence in Diffusion Models


CompetEvo: Towards Morphological Evolution from Competition


Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation


CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents


CompeteSMoE -- Statistically Guaranteed Mixture of Experts Training via Competition


Competency Questions and SPARQL-OWL Queries Dataset and Analysis


Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?


Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty


Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs


Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection


Competing Ratio Loss for Discriminative Multi-class Image Classification


Competing Social Contagions with Opinion Dependent Infectivity


Competing for Shareable Arms in Multi-Player Multi-Armed Bandits


Competing for pixels: a self-play algorithm for weakly-supervised segmentation


Competing mechanisms govern the thermal rectification behavior in semi-stochastic polycrystalline graphene with graded grain-size distribution


Competing risks regression for clustered survival data via the marginal additive subdistribution hazards model


Competition Dynamics Shape Algorithmic Phases of In-Context Learning


Competition and Diversity in Generative AI


Competition and Selection Among Conventions


Competition brings out the best: Modeling the frustration between curvature energy and chain stretching energy of lyotropic liquid crystals in bicontinuous cubic phases


Competition, Collaboration, and Optimization in Multiple Interacting Spreading Processes


Competition-based control of the false discovery proportion


Competitive Algorithms for Online Knapsack with Succinct Predictions


Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation


Competitive Equilibrium For Almost All Incomes: Existence and Fairness


Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection


Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations


Compilation Semantics for a Programming Language with Versions


Compilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling


Compilation of Entangling Gates for High-Dimensional Quantum Systems


Compilation of a simple chemistry application to quantum error correction primitives


Compilation of product-formula Hamiltonian simulation via reinforcement learning


Compile Scene Graphs with Reinforcement Learning


Compiler Discovered Dynamic Scheduling of Irregular Code in High-Level Synthesis


Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach


Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution


Compiler-Driven Simulation of Reconfigurable Hardware Accelerators


CompilerDream: Learning a Compiler World Model for General Code Optimization


CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research


Compiling Neural Networks for a Computational Memory Accelerator


Compiling ONNX Neural Network Models Using MLIR


Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors


Compiling Spiking Neural Networks to Neuromorphic Hardware


Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming


Complementarity Reformulations for the Optimal Design of Distributed Energy Systems with Multiphase Optimal Power Flow


Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence


Complementarity of generative models for road networks


Complementarity-Free Multi-Contact Modeling and Optimization for Dexterous Manipulation


Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision


Complementary Classifier Induced Partial Label Learning


Complementary Explanations for Effective In-Context Learning


Complementary Feature Enhanced Network with Vision Transformer for Image Dehazing


Complementary Learning for Real-World Model Failure Detection


Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation


Complementary Patch for Weakly Supervised Semantic Segmentation


Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection


Complementary Random Masking for RGB-Thermal Semantic Segmentation


Complementary Structure-Learning Neural Networks for Relational Reasoning


Complementary consistency semi-supervised learning for 3D left atrial image segmentation


Complementary datasets to COCO for object detection


Complementary local-global approach for phonon mode connectivities


Complementary-Similarity Learning using Quadruplet Network


Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction


Complementing Model Learning with Mutation-Based Fuzzing


Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction


Complete CVDL Methodology for Investigating Hydrodynamic Instabilities


Complete Decentralized Method for On-Line Multi-Robot Trajectory Planning in Valid Infrastructures


Complete Dictionary Recovery over the Sphere


Complete Inertial Pose Dataset: from raw measurements to pose with low-cost and high-end MARG sensors


Complete Inference of Causal Relations between Dynamical Systems


Complete Instances Mining for Weakly Supervised Instance Segmentation


Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound


Complete and Near-Optimal Robotic Crack Coverage and Filling in Civil Infrastructure


Complete characterization of robust perfect adaptation in biochemical reaction networks


Complete condensation of photon noise in nonlinear dissipative systems


Complete magnetic control over the superconducting thermoelectric effect


Complete modeling of hydrodynamic bearings with a boundary parameterization approach


Complete predictions for high-energy neutrino propagation in matter


Complete the Look: Scene-based Complementary Product Recommendation


Completed Feature Disentanglement Learning for Multimodal MRIs Analysis


Completely Positive Factorization by a Riemannian Smoothing Method


Completely Self-Supervised Crowd Counting via Distribution Matching


Completely decomposable modular Jacobians


Completeness of the Gaia-verse II: what are the odds that a star is missing from Gaia DR2?


Completeness of the Gaia-verse IV: The Astrometry Spread Function of Gaia DR2


Completing A Systematic Review in Hours instead of Months with Interactive AI Agents


Completing Networks by Learning Local Connection Patterns


Completing partial recipes using item-based collaborative filtering to recommend ingredients


Completion Reasoning Emulation for the Description Logic EL+


Completion and Augmentation based Spatiotemporal Deep Learning Approach for Short-Term Metro Origin-Destination Matrix Prediction under Limited Observable Data


Complex Claim Verification with Evidence Retrieved in the Wild


Complex Event Recognition with Symbolic Register Transducers: Extended Technical Report


Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning


Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features


Complex Functional Maps : a Conformal Link Between Tangent Bundles


Complex Handwriting Trajectory Recovery: Evaluation Metrics and Algorithm


Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform


Complex ISNMF: a Phase-Aware Model for Monaural Audio Source Separation


Complex Image Generation SwinTransformer Network for Audio Denoising


Complex Knowledge Base Question Answering: A Survey


Complex Locomotion Skill Learning via Differentiable Physics


Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models


Complex Logical Reasoning over Knowledge Graphs using Large Language Models


Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction


Complex Model Transformations by Reinforcement Learning with Uncertain Human Guidance


Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessin{é}e Thorgal


Complex Network based Supervised Keyword Extractor


Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN


Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISAC


Complex Number Formulation and Convex Relaxations for Aircraft Conflict Resolution


Complex Organ Mask Guided Radiology Report Generation


Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints


Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs


Complex Recurrent Variational Autoencoder with Application to Speech Enhancement


Complex Scene Image Editing by Scene Graph Comprehension


Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts


Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks


Complex Temporal Question Answering on Knowledge Graphs


Complex Transformer: A Framework for Modeling Complex-Valued Sequence


Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform


Complex behavior from intrinsic motivation to occupy action-state path space


Complex diffusion-weighted image estimation via matrix recovery under general noise models


Complex fractal trainability boundary can arise from trivial non-convexity


Complex multiannual cycles of Mycoplasma pneumoniae: persistence and the role of stochasticity


Complex network community discovery using fast local move iterated greedy algorithm


Complex networks approach to curriculum analysis and subject integration: a case study on Physics and Mathematics


Complex oscillatory motion of multiple spikes in a three-component Schnakenberg system


Complex variable solution on over-/under-break shallow tunnelling in gravitational geomaterial with reasonable far-field displacement


Complex-Valued Autoencoders for Object Discovery


Complex-valued Spatial Autoencoders for Multichannel Speech Enhancement


ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies


ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code


ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario


ComplexGen: CAD Reconstruction by B-Rep Chain Complex Generation


ComplexTempQA: A Large-Scale Dataset for Complex Temporal Question Answering


Complexity Analysis Of Next-Generation VVC Encoding and Decoding


Complexity Guarantees for Polyak Steps with Momentum


Complexity Heliophysics: A lived and living history of systems and complexity science in Heliophysics


Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations


Complexity Reduction in Density Functional Theory: Locality in Space and Energy


Complexity Reduction in the Negotiation of New Lexical Conventions


Complexity Synchronization in Emergent Intelligence


Complexity analysis of interior-point methods for second-order stationary points of nonlinear semidefinite optimization problems


Complexity and scalability of defeasible reasoning in many-valued weighted knowledge bases with typicality


Complexity of Chordal Conversion for Sparse Semidefinite Programs with Small Treewidth


Complexity of Digital Quantum Simulation in the Low-Energy Subspace: Applications and a Lower Bound


Complexity of Inexact Proximal Point Algorithm for minimizing convex functions with Holderian Growth


Complexity of Linear Minimization and Projection on Some Sets


Complexity of Minimizing Regularized Convex Quadratic Functions


Complexity of frustration: a new source of non-local non-stabilizerness


Complexity of trust-region methods with unbounded Hessian approximations for smooth and nonsmooth optimization


Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling


Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification


Complexity-stability relationships in competitive disordered dynamical systems


Compliance Cards: Automated EU AI Act Compliance Analyses amidst a Complex AI Supply Chain


Compliance Generation for Privacy Documents under GDPR: A Roadmap for Implementing Automation and Machine Learning


Compliance checking in reified IO logic via SHACL


Compliance-to-Code: Enhancing Financial Compliance Checking via Code Generation


Compliant Fins for Locomotion in Granular Media


Compliant finray-effect gripper for high-speed robotic assembly of electrical components


Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction


Complying with Data Handling Requirements in Cloud Storage Systems


CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion


CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition


CompoSuite: A Compositional Reinforcement Learning Benchmark


Component Divide-and-Conquer for Real-World Image Super-Resolution


Component Transfer Learning for Deep RL Based on Abstract Representations


Component attention network for multimodal dance improvisation recognition


Component response rate variation underlies the stability of highly complex finite systems


Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning


Component-aware anomaly detection framework for adjustable and logical industrial visual inspection


Componential Prompt-Knowledge Alignment for Domain Incremental Learning


Components Loss for Neural Networks in Mask-Based Speech Enhancement


Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation


Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems


Composable Interventions for Language Models


Composable Text Controls in Latent Space with ODEs


Composable Unpaired Image to Image Translation


Composably secure data processing for Gaussian-modulated continuous variable quantum key distribution


Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach


Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis


ComposeAnyone: Controllable Layout-to-Human Generation with Decoupled Multimodal Conditions


Composed Image Retrieval for Remote Sensing


Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization


Composed Multi-modal Retrieval: A Survey of Approaches and Applications


Composed Video Retrieval via Enriched Context and Discriminative Embeddings


Composer Style Classification of Piano Sheet Music Images Using Language Model Pretraining


Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models


Composer: Creative and Controllable Image Synthesis with Composable Conditions


ComposerX: Multi-Agent Symbolic Music Composition with LLMs


Composing Agents to Minimize Worst-case Risk


Composing Control Barrier Functions for Complex Safety Specifications


Composing Distributed Representations of Relational Patterns


Composing Effective Prediction at Five Points


Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery


Composing Object Relations and Attributes for Image-Text Matching


Composing Parameter-Efficient Modules with Arithmetic Operations


Composite Backdoor Attacks Against Large Language Models


Composite Convolution: a Flexible Operator for Deep Learning on 3D Point Clouds


Composite Enclaves: Towards Disaggregated Trusted Execution


Composite Goodness-of-fit Tests with Kernels


Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss


Composite Reward Design in PPO-Driven Adaptive Filtering


Composition Machines: Programming Self-Organising Software Models for the Emergence of Sequential Program Spaces


Composition Tracking for Collisions Between Differentiated Bodies in REBOUND


Composition and Deformance: Measuring Imageability with a Text-to-Image Model


Composition and optical properties of (In,Ga)As nanowires grown by group-III-assisted molecular beam epitaxy


Composition based oxidation state prediction of materials using deep learning


Composition of Relational Features with an Application to Explaining Black-Box Predictors


Composition-contrastive Learning for Sentence Embeddings


Composition-property extrapolation for compositionally complex solid solutions based on word embeddings


Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering


Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task


Compositional Abstraction for Timed Systems with Broadcast Synchronization


Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks


Compositional Chain-of-Thought Prompting for Large Multimodal Models


Compositional Clustering: Applications to Multi-Label Object Recognition and Speaker Identification


Compositional Coding Capsule Network with K-Means Routing for Text Classification


Compositional Coding for Collaborative Filtering


Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion


Compositional Covariance Shrinkage and Regularised Partial Correlations


Compositional Covariate Importance Testing via Partial Conjunction of Bivariate Hypotheses


Compositional Demographic Word Embeddings


Compositional Entailment Learning for Hyperbolic Vision-Language Models


Compositional Evaluation on Japanese Textual Entailment and Similarity


Compositional Fairness Constraints for Graph Embeddings


Compositional Feature Augmentation for Unbiased Scene Graph Generation


Compositional Few-Shot Class-Incremental Learning


Compositional Flows for 3D Molecule and Synthesis Pathway Co-design


Compositional GAN: Learning Image-Conditional Binary Composition


Compositional Generalisation with Structured Reordering and Fertility Layers


Compositional Generalization Across Distributional Shifts with Sparse Tree Operations


Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?


Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach


Compositional Generalization for Primitive Substitutions


Compositional Generalization in Grounded Language Learning via Induced Model Sparsity


Compositional Generalization in Multilingual Semantic Parsing over Wikidata


Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures


Compositional Generalization with Grounded Language Models


Compositional Generalization with Tree Stack Memory Units


Compositional Generalization without Trees using Multiset Tagging and Latent Permutations


Compositional Human-Scene Interaction Synthesis with Semantic Control


Compositional Image Retrieval via Instruction-Aware Contrastive Learning


Compositional Inductive Invariant Based Verification of Neural Network Controlled Systems


Compositional Inversion for Stable Diffusion Models


Compositional Languages Emerge in a Neural Iterated Learning Model


Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks


Compositional Learning of Image-Text Query for Image Retrieval


Compositional Learning of Visually-Grounded Concepts Using Reinforcement


Compositional Learning-based Planning for Vision POMDPs


Compositional Model based Fisher Vector Coding for Image Classification


Compositional Networks Enable Systematic Generalization for Grounded Language Understanding


Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression


Compositional Probabilistic and Causal Inference using Tractable Circuit Models


Compositional Program Generation for Few-Shot Systematic Generalization


Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection


Compositional Prototypical Networks for Few-Shot Classification


Compositional Questions Do Not Necessitate Multi-hop Reasoning


Compositional Reinforcement Learning from Logical Specifications


Compositional Representation of Polymorphic Crystalline Materials


Compositional Sculpting of Iterative Generative Processes


Compositional Segmentation of Cardiac Images Leveraging Metadata


Compositional Semantics and Inference System for Temporal Order based on Japanese CCG


Compositional Task-Oriented Parsing as Abstractive Question Answering


Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning


Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models


Compositional Video Generation as Flow Equalization


Compositional Visual Generation with Composable Diffusion Models


Compositional generalization in semantic parsing with pretrained transformers


Compositional generalization through meta sequence-to-sequence learning


Compositional preference models for aligning LMs


Compositional simulation-based inference for time series


Compositionality Through Language Transmission, using Artificial Neural Networks


Compositionality decomposed: how do neural networks generalise?


Compositionally Verifiable Vector Neural Lyapunov Functions for Stability Analysis of Interconnected Nonlinear Systems


Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation


Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future Directions


Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced Representation


Compound Multi-branch Feature Fusion for Real Image Restoration


Compound Probabilistic Context-Free Grammars for Grammar Induction


Compound Text-Guided Prompt Tuning via Image-Adaptive Cues


Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs


CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models


Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network


ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing


Comprehensible Context-driven Text Game Playing


Comprehensible Convolutional Neural Networks via Guided Concept Learning


Comprehension Is a Double-Edged Sword: Over-Interpreting Unspecified Information in Intelligible Machine Learning Explanations


Comprehensive $ab$ $initio$ investigation of the phase diagram of quasi-one-dimensional molecular solids


Comprehensive Algorithm Portfolio Evaluation using Item Response Theory


Comprehensive Analysis of the Object Detection Pipeline on UAVs


Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection


Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector


Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans


Comprehensive Comparisons of Uniform Quantization in Deep Image Compression


Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU and GPU


Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement


Comprehensive Dataset for Urban Streetlight Analysis


Comprehensive Determination of the Hinode/EIS Roll Angle


Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation


Comprehensive Evaluation of ChatGPT Reliability Through Multilingual Inquiries


Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities


Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective


Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems


Comprehensive Fair Meta-learned Recommender System


Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting


Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing


Comprehensive Information Integration Modeling Framework for Video Titling


Comprehensive Library of Variational LSE Solvers


Comprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix


Comprehensive Molecular Representation from Equivariant Transformer


Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks


Comprehensive Multi-Modal Interactions for Referring Image Segmentation


Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object Detection


Comprehensive Process Drift Detection with Visual Analytics


Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization


Comprehensive Stepwise Selection for Logistic Regression


Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?


Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers


Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification


Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation


Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentation


Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction


Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses


Comprehensive numerical modeling of filamentary RRAM devices including voltage ramp-rate and cycle-to-cycle variations


Comprehensively Analyzing the Impact of Cyberattacks on Power Grids


Compress Any Segment Anything Model (SAM)


Compress image to patches for Vision Transformer


Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations


Compress-and-restart block Krylov subspace methods for Sylvester matrix equations


Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis


Compressed Context Memory For Online Language Model Interaction


Compressed Deep Networks: Goodbye SVD, Hello Robust Low-Rank Approximation


Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels


Compressed Federated Reinforcement Learning with a Generative Model


Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization


Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering


Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks


Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems


Compressed MRI Reconstruction Exploiting a Rotation-Invariant Total Variation Discretization


Compressed Parametric and Non-Parametric Approximations to the Gravitational Wave Likelihood


Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks


Compressed Sensing of Scanning Transmission Electron Microscopy (STEM) on Non-Rectangular Scans


Compressed Sensing with Deep Image Prior and Learned Regularization


Compressed Sensing: A Discrete Optimization Approach


Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation


Compressed learning based onboard semantic compression for remote sensing platforms


Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation


Compressible-composable NeRF via Rank-residual Decomposition


Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization


Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering


Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning


Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning


Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition


Compressing Gradient Optimizers via Count-Sketches


Compressing Green's function using intermediate representation between imaginary-time and real-frequency domains


Compressing LLMs: The Truth is Rarely Pure and Never Simple


Compressing Latent Space via Least Volume


Compressing Lengthy Context With UltraGist


Compressing Multisets with Large Alphabets using Bits-Back Coding


Compressing Neural Language Models by Sparse Word Representations


Compressing Pre-trained Models of Code into 3 MB


Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models


Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation


Compressing Sign Information in DCT-based Image Coding via Deep Sign Retrieval


Compressing Vision Transformers for Low-Resource Visual Learning


Compressing Volumetric Radiance Fields to 1 MB


Compressing deep neural networks by matrix product operators


Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control


Compressing multidimensional weather and climate data into neural networks


Compressing the Input for CNNs with the First-Order Scattering Transform


Compression Represents Intelligence Linearly


Compression and information entropy of binary strings from the collision history of three hard balls


Compression of Recurrent Neural Networks using Matrix Factorization


Compression of data streams down to their information content


Compression of interferometric radio-astronomical data


Compression with Bayesian Implicit Neural Representations


Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity


Compression, simulation, and synthesis of turbulent flows with tensor trains


Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal


Compression-Complexity with Ordinal Patterns for Robust Causal Inference in Irregularly-Sampled Time Series


Compression-aware Continual Learning using Singular Value Decomposition


Compression-aware Training of Neural Networks using Frank-Wolfe


Compressive Bayesian non-negative matrix factorization for mutational signatures analysis


Compressive Independent Component Analysis: Theory and Algorithms


Compressive Learning of Generative Networks


Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations


Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders


Compressive Online Robust Principal Component Analysis with Optical Flow for Video Foreground-Background Separation


Compressive Recovery of Sparse Precision Matrices


Compressive Spectral Image Reconstruction using Deep Prior and Low-Rank Tensor Representation


Compressive Summarization with Plausibility and Salience Modeling


Compressive spectral embedding: sidestepping the SVD


Compressive-sensing-assisted mixed integer optimization for dynamical system discovery with highly noisy data


Comprint: Image Forgery Detection and Localization using Compression Fingerprints


Compromised ACC vehicles can degrade current mixed-autonomy traffic performance while remaining stealthy against detection


Compton backscattered and primary X-rays from solar flares: angle dependent Green's function correction for photospheric albedo


CompuCell3D Model of Cell Migration Reproduces Chemotaxis


Computable Centering Methods for Spiraling Algorithms and their Duals, with Motivations from the theory of Lyapunov Functions


Computation Rate Maximization for Wireless Powered Edge Computing With Multi-User Cooperation


Computation and properties of the Epstein zeta function with high-performance implementation in EpsteinLib


Computation of 2D Stokes flows via lightning and AAA rational approximation


Computation of Admissible Arakelov-Green Functions on Metrized Graphs


Computation of Burgers Vectors from Elastic Strain and Lattice Rotation Data


Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals


Computation of Higher-Order Moments of Generalized Polynomial Chaos Expansions


Computation of Miura surfaces with gradient Dirichlet boundary conditions


Computation of Tight Enclosures for Laplacian Eigenvalues


Computation of a possible Tunguska's strewn field


Computation of optimal transport and related hedging problems via penalization and neural networks


Computation of the Biot-Savart line integral with higher-order convergence using straight segments


Computation of the Complex Error Function using Modified Trapezoidal Rules


Computation of the Totient Summatory Function


Computation of the deformation of rhombi-slit kirigami


Computation of the magnetostatic interaction between linearly magnetized polyhedrons


Computation of the self-diffusion coefficient with low-rank tensor methods: application to the simulation of a cross-diffusion system


Computation of viscoelastic shear shock waves using finite volume schemes with artificial compressibility


Computation of whispering gallery modes for spherical symmetric heterogeneous Helmholtz problems with piecewise smooth refractive index


Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis


Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup


Computational 3D microscopy with optical coherence refraction tomography


Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms


Computational Analysis of Insurance Complaints: GEICO Case Study


Computational Approaches to Model X-ray Photon Correlation Spectroscopy from Molecular Dynamics


Computational Assessment of Hyperpartisanship in News Titles


Computational Asymmetries in Robust Classification


Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning


Computational Bounds For Photonic Design


Computational Capabilities and Compiler Development for Neutral Atom Quantum Processors: Connecting Tool Developers and Hardware Experts


Computational Desire Line Analysis of Cyclists on the Dybbølsbro Intersection in Copenhagen


Computational Doob's h-transforms for Online Filtering of Discretely Observed Diffusions


Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving


Computational Experiment Design for Operations Model Simulation


Computational Fluid Dynamics with the Coupled Discrete Unified Gas Kinetic Scheme (CDUGKS)


Computational Graph Decompositions I: Oriented Berge-Fulkerson Conjecture


Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots


Computational Imaging for Long-Term Prediction of Solar Irradiance


Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations


Computational Investigation of Copper Phosphides as Conversion Anodes for Lithium-Ion Batteries


Computational Job Market Analysis with Natural Language Processing


Computational Language Acquisition with Theory of Mind


Computational Modelling of Plurality and Definiteness in Chinese Noun Phrases


Computational Parquetry: Fabricated Style Transfer with Wood Pixels


Computational Performance of Deep Reinforcement Learning to find Nash Equilibria


Computational Reasoning of Large Language Models


Computational Reproducibility of R Code Supplements on OSF


Computational Sentence-level Metrics Predicting Human Sentence Comprehension


Computational Smocking through Fabric-Thread Interaction


Computational Solar Energy -- Ensemble Learning Methods for Prediction of Solar Power Generation based on Meteorological Parameters in Eastern India


Computational Study of Li+ Solvation Structures in Fluorinated Ether, Non-Fluorinated Ether, and Organic Carbonate-Based Electrolytes at Low and High Salt Concentrations


Computational Synthesis of 2D Materials: A High-throughput Approach to Materials Design


Computational Tools for the Spectroscopic Analysis of White Dwarfs


Computational Validation of a Mathematical Model of Stable Multi-Species Communities in a Hawk Dove Game


Computational anatomy atlas using multilayer perceptron with Lipschitz regularization


Computational and in vitro studies of blast-induced blood-brain barrier disruption


Computational approaches to efficient generation of the stationary state for incoherent light excitation


Computational aspects of subindices and subfactors with characterization of finite index stable groups


Computational assessment of smooth and rough parameter dependence of statistics in chaotic dynamical systems


Computational complexity and pragmatic solutions for flexible tile based DNA self-assembly


Computational detection of antigen specific B cell receptors following immunization


Computational investigations of a multi-class traffic flow model: mean-field and microscopic dynamics


Computational limits to the legibility of the imaged human brain


Computational methods for adapted optimal transport


Computational methods for fast Bayesian model assessment via calibrated posterior p-values


Computational methods for finding bi-regular cages


Computational model for tumor response to adoptive cell transfer therapy


Computational modeling of biological nanopores


Computational modelling of cancer nanomedicine: Integrating hyperthermia treatment into a multiphase porous-media tumour model


Computational strategies and estimation performance with Bayesian semiparametric Item Response Theory models


Computational toolkit for predicting thickness of 2D materials using machine learning and autogenerated dataset by large language model


Computational-Statistical Trade-off in Kernel Two-Sample Testing with Random Fourier Features


Computationally Budgeted Continual Learning: What Does Matter?


Computationally Efficient Algorithms for Simulating Isotropic Gaussian Random Fields on Graphs with Euclidean Edges


Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems For Control


Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection


Computationally Efficient Learning of Statistical Manifolds


Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding


Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness


Computationally Efficient Quantum Expectation with Extended Bell Measurements


Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems


Computationally Efficient Zero Noise Extrapolation for Quantum Gate Error Mitigation


Computationally Identifying Funneling and Focusing Questions in Classroom Discourse


Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating


Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses


Computationally Tractable Riemannian Manifolds for Graph Embeddings


Computationally accelerated experimental materials characterization -- drawing inspiration from high-throughput simulation workflows


Computationally easy, spectrally good multipliers for congruential pseudorandom number generators


Computationally efficient method for calculating electron-phonon coupling for high-throughput superconductivity search


Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs


Computationally-assisted proof of a novel $\mathsf{O}(3)\times \mathsf{O}(10)$-invariant Einstein metric on $S^{12}$


Computationally-efficient initialisation of GPs: The generalised variogram method


Computations about formal multiple zeta spaces defined by binary extended double shuffle relations


Computations associated with the resonance arrangement


Computations regarding the torsion homology of Oeljeklaus-Toma manifolds


Computação Urbana da Teoria à Prática: Fundamentos, Aplicações e Desafios


Compute Better Spent: Replacing Dense Layers with Structured Matrices


Compute Trends Across Three Eras of Machine Learning


ComputeGPT: A computational chat model for numerical problems


Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods


Computed tomography coronary angiogram images, annotations and associated data of normal and diseased arteries


Computer Aided Detection of Oral Lesions on CT Images


Computer Architecture-Aware Optimisation of DNA Analysis Systems


Computer Science Named Entity Recognition in the Open Research Knowledge Graph


Computer Simulation of the Early Stages of Self-Assembly and Thermal Decomposition of ZIF-8


Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment


Computer Vision Aided Blockage Prediction in Real-World Millimeter Wave Deployments


Computer Vision Aided mmWave Beam Alignment in V2X Communications


Computer Vision Model Compression Techniques for Embedded Systems: A Survey


Computer Vision based inspection on post-earthquake with UAV synthetic dataset


Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset


Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera


Computer proofs for Property (T), and SDP duality


Computer simulations combined with experiments for calculus-based physics laboratory course


Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations prediction


Computer vision-based framework for extracting geological lineaments from optical remote sensing data


Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment?


Computer-Aided Modelling of the Bilingual Word Indices to the Ninth-Century Uchitel'noe evangelie


Computer-Aided Multi-Stroke Character Simplification by Stroke Removal


Computer-Assisted Proofs of Solitons in Bose-Einstein Condensates


Computer-aided Colorization State-of-the-science: A Survey


Computer-aided Interpretable Features for Leaf Image Classification


Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance


Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms


Computer-aided proofs for multiparty computation with active security


Computer-aided quantization and numerical analysis of superconducting circuits


Computer-assisted proof of heteroclinic connections in the one-dimensional Ohta-Kawasaki model


Computer-assisted proofs for finding the monodromy of Picard-Fuchs differential equations for a family of K3 toric hypersurfaces


Computing $π(N)$: An elementary approach in $\tilde{O}(\sqrt{N})$ time


Computing AIC for black-box models using Generalised Degrees of Freedom: a comparison with cross-validation


Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples


Computing Adequately Permissive Assumptions for Synthesis


Computing All Distinct Squares in Linear Time for Integer Alphabets


Computing Anti-Derivatives using Deep Neural Networks


Computing Approximate Graph Edit Distance via Optimal Transport


Computing Approximate Nash Equilibria for Integer Programming Games


Computing Balanced Solutions for Large International Kidney Exchange Schemes When Cycle Length Is Unbounded


Computing Bayes Nash Equilibrium Strategies in Auction Games via Simultaneous Online Dual Averaging


Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification


Computing Capacity-Cost Functions for Continuous Channels in Wasserstein Space


Computing Delay-Constrained Least-Cost Paths for Segment Routing is Easier Than You Think


Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study


Computing Dynamic User Equilibria on Large-Scale Networks: From Theory to Software Implementation


Computing Estimators of Dantzig Selector type via Column and Constraint Generation


Computing Euler factors of genus 2 curves at odd primes of almost good reduction


Computing Free Convolutions via Contour Integrals


Computing Full Conformal Prediction Set with Approximate Homotopy


Computing Functions of Symmetric Hierarchically Semiseparable Matrices


Computing Generalized Eigenfunctions in Rigged Hilbert Spaces


Computing Implicitizations of Multi-Graded Polynomial Maps


Computing Lens for Exploring the Historical People's Social Network


Computing Longest Increasing Subsequence Over Sequential Data Streams


Computing Maximum Likelihood Estimates for Gaussian Graphical Models with Macaulay2


Computing Microwave Background Polarization Power Spectra from Cosmic Birefringence


Computing Motion Plans for Assembling Particles with Global Control


Computing NP-hard Repetitiveness Measures via MAX-SAT


Computing Nash equilibria for integer programming games


Computing Non-Obtuse Triangulations with Few Steiner Points


Computing One-bit Compressive Sensing via Double-Sparsity Constrained Optimization


Computing Optimal Joint Chance Constrained Control Policies


Computing Optimal Transport Plans via Min-Max Gradient Flows


Computing Path Signature Varieties in Macaulay2


Computing Periodic Points on Veech Surfaces


Computing Policies That Account For The Effects Of Human Agent Uncertainty During Execution In Markov Decision Processes


Computing Quantum Mean Values in the Deep Chaotic Regime


Computing Representations for Lie Algebraic Networks


Computing Sensitivities in Reaction Networks using Finite Difference Methods


Computing Sparse Jacobians and Hessians Using Algorithmic Differentiation


Computing System Congestion Management Using Exponential Smoothing Forecasting


Computing Tighter Bounds on the $n$-Queens Constant via Newton's Method


Computing Voronoi Diagrams in the Polar-Coordinate Model of the Hyperbolic Plane


Computing Web-scale Topic Models using an Asynchronous Parameter Server


Computing Welfare-Maximizing Fair Allocations of Indivisible Goods


Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference


Computing all identifiable functions of parameters for ODE models


Computing all minimal Markov bases in Macaulay2


Computing an Aircraft's Gliding Range and Minimal Return Altitude in Presence of Obstacles and Wind


Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions


Computing associators of endomorphism fusion categories


Computing character tables and Cartan matrices of finite monoids with fixed point counting


Computing characteristic classes of subschemes of smooth toric varieties


Computing collision stress in assemblies of active spherocylinders: applications of a fast and generic geometric method


Computing committors via Mahalanobis diffusion maps with enhanced sampling data


Computing cone-constrained singular values of matrices


Computing eigenvalues of the Laplacian on rough domains


Computing equilibrium free energies through a nonequilibrium quench


Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations


Computing gradient vector fields with Morse sequences


Computing ground states of Bose-Einstein condensation by normalized deep neural network


Computing high-dimensional optimal transport by flow neural networks


Computing hydrodynamic interactions in confined doubly-periodic geometries in linear time


Computing in the Life Sciences: From Early Algorithms to Modern AI


Computing isogeny classes of typical principally polarized abelian surfaces over the rationals


Computing isolated coefficients of the $j$-function


Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD


Computing matrix $\varphi$-functions arising in exponential integrators


Computing minimal distinguishing Hennessy-Milner formulas is NP-hard, but variants are tractable


Computing minimal interpolants in $C^{1,1}(\mathbb{R}^d)$


Computing p-adic heights on hyperelliptic curves


Computing performability measures in Markov chains by means of matrix functions


Computing persistent Stiefel-Whitney classes of line bundles


Computing persistent homology by spanning trees and critical simplices


Computing persistent homology of directed flag complexes


Computing points on bielliptic modular curves over fixed quadratic fields


Computing quadratic points on modular curves $X_0(N)$


Computing rational points on rank 0 genus 3 hyperelliptic curves


Computing real-time quantum path integrals on Sewed, almost-Lefschetz thimbles


Computing recommendations via a Knowledge Graph-aware Autoencoder


Computing sessile droplet shapes on arbitrary surfaces with a new pairwise force smoothed particle hydrodynamics model


Computing tensor Z-eigenvectors with dynamical systems


Computing the Action of Trigonometric and Hyperbolic Matrix Functions


Computing the BWT and LCP array of a Set of Strings in External Memory


Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise


Computing the Binomial Part of a Polynomial Ideal


Computing the Distance between unbalanced Distributions -- The flat Metric


Computing the Frequency Response of Biochemical Networks: A Python module


Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data


Computing the Information Content of Trained Neural Networks


Computing the LZ-End parsing: Easy to implement and practically efficient


Computing the Performance of A New Adaptive Sampling Algorithm Based on The Gittins Index in Experiments with Exponential Rewards


Computing the Riemannian logarithm on the Stiefel manifold: metrics, methods and performance


Computing the Schulze Method for Large-Scale Preference Data Sets


Computing the Shapley Value of Facts in Query Answering


Computing the Sound of the Sea in a Seashell


Computing the Tropical Abel--Jacobi Transform and Tropical Distances for Metric Graphs


Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis


Computing the covering radius of a polytope with an application to lonely runners


Computing the endomorphism ring of an elliptic curve over a number field


Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks


Computing the exact sign of sums of products with floating point arithmetic


Computing the generalized plasma dispersion function for non-Maxwellian plasmas, with applications to Thomson scattering


Computing the gradients with respect to all parameters of a quantum neural network using a single circuit


Computing the gravitational potential on nested meshes using the convolution method


Computing the matrix exponential with the double exponential formula


Computing the matrix fractional power with the double exponential formula


Computing the negative $K$-theory of finite groups of order $\leq 100$


Computing the optimal BWT of very large string collections


Computing the optimal distributionally-robust strategy to commit to


Computing the probability of gene trees concordant with the species tree in the multispecies coalescent


Computing the proximal operator of the $\ell_1$ induced matrix norm


Computing the quasipotential for highly dissipative and chaotic SDEs. An application to stochastic Lorenz'63


Computing the rearrangement distance of natural genomes


Computing the twisted $L^2$-Euler characteristic


Computing the viscous effect in early-time drop impact dynamics


Computing torsion subgroups of Jacobians of hyperelliptic curves of genus 3


Computing volume fractions and signed distances from triangulated surfaces immersed in unstructured meshes


Computing weakly singular and near-singular integrals over curved boundary elements


Computing with two quantum reservoirs connected via optimized two-qubit nonselective measurements


Computing zero-group-velocity points in anisotropic elastic waveguides: Globally and locally convergent methods


Computing zeta functions of algebraic curves using Harvey's trace formula


Computoser - rule-based, probability-driven algorithmic music composition


Computron: Serving Distributed Deep Learning Models with Model Parallel Swapping


Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning


Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities


Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations


Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding


ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents


ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images


ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched Embeddings


ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context


ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction


ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation


ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement


ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding


ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization


ConDo: Continual Domain Expansion for Absolute Pose Regression


ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes


ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining


ConExion: Concept Extraction with Large Language Models


ConFiguRe: Exploring Discourse-level Chinese Figures of Speech


ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks


ConFormer: A Novel Collection of Deep Learning Models to Assist Cardiologists in the Assessment of Cardiac Function


ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis


ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings


ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization


ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs


ConMeC: A Dataset for Metonymy Resolution with Common Nouns


ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer


ConNER: Consistency Training for Cross-lingual Named Entity Recognition


ConPET: Continual Parameter-Efficient Tuning for Large Language Models


ConPR: Ongoing Construction Site Dataset for Place Recognition


ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization


ConQueR: Contextualized Query Reduction using Search Logs


ConQueR: Query Contrast Voxel-DETR for 3D Object Detection


ConR: Contrastive Regularizer for Deep Imbalanced Regression


ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields


ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy


ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction


ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer


ConSOR: A Context-Aware Semantic Object Rearrangement Framework for Partially Arranged Scenes


ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking


ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation


ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis


ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters


ConSol: Sequential Probability Ratio Testing to Find Consistent LLM Reasoning Paths Efficiently


ConStance: Modeling Annotation Contexts to Improve Stance Classification


ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks


ConStruct-VL: Data-Free Continual Structured VL Concepts Learning


ConStyle v2: A Strong Prompter for All-in-One Image Restoration


ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax


ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval


ConTextTab: A Semantics-Aware Tabular In-Context Learner


ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models


ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs


ConTra: (Con)text (Tra)nsformer for Cross-Modal Video Retrieval


ConTrans: Weak-to-Strong Alignment Engineering via Concept Transplantation


ConTrip: Consensus Sentiment review Analysis and Platform ratings in a single score


ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees


ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models


ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing


Conal Distances Between Rational Spectral Densities


Concadia: Towards Image-Based Text Generation with a Purpose


Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations


Concatenation Schemes for Topological Fault-tolerant Quantum Error Correction


Concatenations of Terms of an Arithmetic Progression


Concave likelihood-based regression with finite-support response variables


ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting


Concealing Circumbinary Planets with Tidal Shrinkage


Concealing Sensitive Samples against Gradient Leakage in Federated Learning


Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models


Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget


Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking


Concentration in Governance Control Across Decentralised Finance Protocols


Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains


Concentration of Measure for Distributions Generated via Diffusion Models


Concentration of Multilinear Functions of the Ising Model with Applications to Network Data


Concentration of a sparse Bayesian model with Horseshoe prior in estimating high-dimensional precision matrix


Concentration study of M-estimators using the influence function


Concentration-Dependent Domain Evolution in Reaction-Diffusion Systems


Concept -- An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors


Concept Algebra for (Score-Based) Text-Controlled Generative Models


Concept Based Continuous Prompts for Interpretable Text Classification


Concept Bottleneck Language Models For protein design


Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis


Concept Drift Detection using Ensemble of Integrally Private Models


Concept Drift Detection via Equal Intensity k-means Space Partitioning


Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations


Concept Drift Visualization of SVM with Shifting Window


Concept Drift and Anomaly Detection in Graph Streams


Concept Drift and Long-Tailed Distribution in Fine-Grained Visual Categorization: Benchmark and Method


Concept Extraction Using Pointer-Generator Networks


Concept Generalization in Visual Representation Learning


Concept Gradient: Concept-based Interpretation Without Linear Assumption


Concept Incongruence: An Exploration of Time and Death in Role Playing


Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM


Concept Matching for Low-Resource Classification


Concept Matching with Agent for Out-of-Distribution Detection


Concept Pointer Network for Abstractive Summarization


Concept Reachability in Diffusion Models: Beyond Dataset Constraints


Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization


Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models


Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models


Concept Steerers: Leveraging K-Sparse Autoencoders for Controllable Generations


Concept Tagging for Natural Language Understanding: Two Decadelong Algorithm Development


Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet


Concept Whitening for Interpretable Image Recognition


Concept backpropagation: An Explainable AI approach for visualising learned concepts in neural network models


Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers


Concept-Level Explainability for Auditing & Steering LLM Responses


Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction


Concept-based Explanations for Out-Of-Distribution Detectors


Concept-based explainability for an EEG transformer model


Concept-based model explanations for Electronic Health Records


Concept-free Causal Disentanglement with Variational Graph Auto-Encoder


Concept-skill Transferability-based Data Selection for Large Vision-Language Models


Concept-wise Fine-tuning Matters in Preventing Negative Transfer


Concept2vec: Metrics for Evaluating Quality of Embeddings for Ontological Concepts


ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features


ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models


ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-training


ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction


ConceptFusion: Open-set Multimodal 3D Mapping


ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery


ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints


ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models


ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)


Conceptrol: Concept Control of Zero-shot Personalized Image Generation


Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts


Conceptual Design Generation Using Large Language Models


Conceptual Engineering Using Large Language Models


Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial Intelligence


Conceptual Framework for Autonomous Cognitive Entities


Conceptual Model Interpreter for Large Language Models


Conceptual similarity and communicative need shape colexification: an experimental study


Conceptualize and Infer User Needs in E-commerce


Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data


Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data Streams


ConchShell: A Generative Adversarial Networks that Turns Pictures into Piano Music


Concise Answers to Complex Questions: Summarization of Long-form Answers


Concise Explanations of Neural Networks using Adversarial Training


Concise Outlines for a Complex Logic: A Proof Outline Checker for TaDA (Full Paper)


Concise Plane Arrangements for Low-Poly Surface and Volume Modelling


Concise Read-Only Specifications for Better Synthesis of Programs with Pointers -- Extended Version


Concise Reasoning via Reinforcement Learning


Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting


Concise and Effective Network for 3D Human Modeling from Orthogonal Silhouettes


Concise and interpretable multi-label rule sets


Concise network models of memory dynamics reveal explainable patterns in path data


ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models


Conclusive Local Interpretation Rules for Random Forests


Concrete Semantics with Coq and CoqHammer


Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion


Concurrent Binary Trees for Large-Scale Game Components


Concurrent Brainstorming & Hypothesis Satisfying: An Iterative Framework for Enhanced Retrieval-Augmented Generation (R2CBR3H-SR)


Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters


Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation


Concurrent Credit Assignment for Data-efficient Reinforcement Learning


Concurrent Data Structures Made Easy (Extended Version)


Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow


Concurrent Neural Network : A model of competition between times series


Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation


Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion


CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution


CondNet: Conditional Classifier for Scene Segmentation


CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting


Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning


CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems


Condensed Composite Memory Continual Learning


Condensed interior-point methods: porting reduced-space approaches on GPU hardware


Condensing Graphs via One-Step Gradient Matching


Condensing Multilingual Knowledge with Lightweight Language-Specific Modules


Condensing Two-stage Detection with Automatic Object Key Part Discovery


CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution


Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach


Condition-Adaptive Graph Convolution Learning for Skeleton-Based Gait Recognition


Condition-Invariant and Compact Visual Place Description by Convolutional Autoencoder


ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation


Conditional Adversarial Domain Adaptation


Conditional Affordance Learning for Driving in Urban Environments


Conditional Antibody Design as 3D Equivariant Graph Translation


Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand


Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation


Conditional COT-GAN for Video Prediction with Kernel Smoothing


Conditional Computation in Neural Networks for faster models


Conditional Consistency Guided Image Translation and Enhancement


Conditional Constrained Graph Variational Autoencoders for Molecule Design


Conditional Contrastive Learning with Kernel


Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid


Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning


Conditional Deep Generative Models for Simultaneous Simulation and Reconstruction of Entire Events


Conditional Density Estimation with Histogram Trees


Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis


Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation


Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance


Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies


Conditional Dirichlet Processes and Functional Condition Models


Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data


Conditional Distribution Learning on Graphs


Conditional Drums Generation using Compound Word Representations


Conditional Euclidean distance optimization via relative tangency


Conditional Extreme Value Theory for Open Set Video Domain Adaptation