Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration


Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach


Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors


Continuous cutting plane algorithms in integer programming


Continuous descriptor-based control for deep audio synthesis


Continuous limits of large plant-pollinator random networks and some applications


Continuous matrix product operator approach to finite temperature quantum states


Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles


Continuous non-contact vital sign monitoring of neonates in intensive care units using RGB-D cameras


Continuous reasoning for adaptive container image distribution in the cloud-edge continuum


Continuous speech separation: dataset and analysis


Continuous stochastic processes with non-local memory


Continuous vs. Discrete Optimization of Deep Neural Networks


Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions


Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach


Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models


Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver


Continuous-Time Fixed-Lag Smoothing for LiDAR-Inertial-Camera SLAM


Continuous-Time Formulations for Multi-Mode Project Scheduling


Continuous-Time Functional Diffusion Processes


Continuous-Time Graph Learning for Cascade Popularity Prediction


Continuous-Time Model-Based Reinforcement Learning


Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations


Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains


Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks


Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer


Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU System


Continuous-Time Spline Visual-Inertial Odometry


Continuous-Time User Preference Modelling for Temporal Sets Prediction


Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction


Continuous-Time vs. Discrete-Time Vision-based SLAM: A Comparative Study


Continuous-Variable Quantum Key Distribution with Composable Security and Tight Error Correction Bound for Constrained Devices


Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO


Continuous-mixture Autoregressive Networks for efficient variational calculation of many-body systems


Continuous-time identification of dynamic state-space models by deep subspace encoding


Continuous-time system identification with neural networks: Model structures and fitting criteria


Continuous-variable neural-network quantum states and the quantum rotor model


Continuously Distributing Entanglement in Quantum Networks with Regular Topologies


Continuously Optimizing Radar Placement with Model Predictive Path Integrals


Continuously tempered Hamiltonian Monte Carlo


Continuum Attention for Neural Operators


Continuum Reverberation in Active Galactic Nuclei Disks Only With Sufficient X-ray Luminosity and Low Albedo


Continuum centroid classifier for functional data


Continuum emission from within the plunging region of black hole discs


Continuum: Simple Management of Complex Continual Learning Scenarios


Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation


Contour Integration using Graph-Cut and Non-Classical Receptive Field


Contour Parametrization via Anisotropic Mean Curvature Flows


Contour Transformer Network for One-shot Segmentation of Anatomical Structures


Contour-guided Image Completion with Perceptual Grouping


ContourFormer:Real-Time Contour-Based End-to-End Instance Segmentation Transformer


ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection


Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-Resolution


ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation


ContraBAR: Contrastive Bayes-Adaptive Deep RL


ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences


ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models


ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing


ContraSim -- Analyzing Neural Representations Based on Contrastive Learning


Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines


Contract-Based Distributed Synthesis in Two-Objective Parity Games


ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts


ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts


Contracting Arbitrary Tensor Networks: general approximate algorithm and applications in graphical models and quantum circuit simulations


Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability


Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection


Contraction methods for continuous optimization


Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems


Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery


Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series


Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification


Contrast Subgraph Mining from Coherent Cores


Contrast and Classify: Training Robust VQA Models


Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation


Contrast and Generation Make BART a Good Dialogue Emotion Recognizer


Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion


Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels


Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities


Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation


Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment for Markup-to-Image Generation


ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models


ContrastMask: Contrastive Learning to Segment Every Thing


ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification


ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation


ContrastWSD: Enhancing Metaphor Detection with Word Sense Disambiguation Following the Metaphor Identification Procedure


Contrasting Contrastive Self-Supervised Representation Learning Pipelines


Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities


Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective


Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification


Contrasting Prediction Methods for Early Warning Systems at Undergraduate Level


Contrasting chaotic and stochastic forcing: tipping windows and attractor crises


Contrasting pre-vaccine COVID-19 waves in Italy through Functional Data Analysis


Contrasting quadratic assignments for set-based representation learning


Contrasting the landscape of contrastive and non-contrastive learning


Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities


Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning


Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning


Contrastive Alignment with Semantic Gap-Aware Corrections in Text-Video Retrieval


Contrastive Attention Mechanism for Abstractive Sentence Summarization


Contrastive Attraction and Contrastive Repulsion for Representation Learning


Contrastive Audio-Language Learning for Music


Contrastive Audio-Visual Masked Autoencoder


Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation


Contrastive Bayesian Analysis for Deep Metric Learning


Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning


Contrastive Bi-Projector for Unsupervised Domain Adaption


Contrastive Bootstrapping for Label Refinement


Contrastive Boundary Learning for Point Cloud Segmentation


Contrastive Code Representation Learning


Contrastive Collaborative Filtering for Cold-Start Item Recommendation


Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain Adaptation


Contrastive Corpus Attribution for Explaining Representations


Contrastive Credibility Propagation for Reliable Semi-Supervised Learning


Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer


Contrastive Cross-Domain Sequential Recommendation


Contrastive Cross-domain Recommendation in Matching


Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration


Contrastive Decoding: Open-ended Text Generation as Optimization


Contrastive Deep Nonnegative Matrix Factorization for Community Detection


Contrastive Demonstration Tuning for Pre-trained Language Models


Contrastive Difference Predictive Coding


Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction


Contrastive Distillation of Emotion Knowledge from LLMs for Zero-Shot Emotion Recognition


Contrastive Distillation on Intermediate Representations for Language Model Compression


Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19


Contrastive Domain Adaptation for Question Answering using Limited Text Corpora


Contrastive Domain Adaptation for Time-Series via Temporal Mixup


Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction


Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification


Contrastive Embeddings for Neural Architectures


Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning


Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation


Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation


Contrastive Error Attribution for Finetuned Language Models


Contrastive Explanations for Explaining Model Adaptations


Contrastive Explanations for Model Interpretability


Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions


Contrastive Explanations in Neural Networks


Contrastive Feature Loss for Image Prediction


Contrastive Fine-grained Class Clustering via Generative Adversarial Networks


Contrastive Graph Learning for Population-based fMRI Classification


Contrastive Graph Neural Network Explanation


Contrastive Graph Pooling for Explainable Classification of Brain Networks


Contrastive Grouping with Transformer for Referring Image Segmentation


Contrastive Hebbian Learning with Random Feedback Weights


Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition


Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation


Contrastive Initial State Buffer for Reinforcement Learning


Contrastive Instruction-Trajectory Learning for Vision-Language Navigation


Contrastive Knowledge Graph Error Detection


Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias


Contrastive Learning Augmented Social Recommendations


Contrastive Learning Inverts the Data Generating Process


Contrastive Learning Is Spectral Clustering On Similarity Graph


Contrastive Learning Reduces Hallucination in Conversations


Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications


Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings


Contrastive Learning enhanced Author-Style Headline Generation


Contrastive Learning for Cold-Start Recommendation


Contrastive Learning for Conversion Rate Prediction


Contrastive Learning for Cross-Domain Open World Recognition


Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction


Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding


Contrastive Learning for Inference in Dialogue


Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering


Contrastive Learning for Multi-Modal Automatic Code Review


Contrastive Learning for Multi-Object Tracking with Transformers


Contrastive Learning for Online Semi-Supervised General Continual Learning


Contrastive Learning for Predicting Cancer Prognosis Using Gene Expression Values


Contrastive Learning for Prompt-Based Few-Shot Language Learners


Contrastive Learning for Sleep Staging based on Inter Subject Correlation


Contrastive Learning for Sports Video: Unsupervised Player Classification


Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition


Contrastive Learning in Distilled Models


Contrastive Learning of Generalized Game Representations


Contrastive Learning of Global-Local Video Representations


Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images


Contrastive Learning of Sociopragmatic Meaning in Social Media


Contrastive Learning with Adversarial Perturbations for Conditional Text Generation


Contrastive Learning with Bidirectional Transformers for Sequential Recommendation


Contrastive Learning with Boosted Memorization


Contrastive Learning with Consistent Representations


Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification


Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition


Contrastive Learning with Hard Negative Entities for Entity Set Expansion


Contrastive Learning with Hard Negative Samples


Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection


Contrastive Learning with Stronger Augmentations


Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays


Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets


Contrastive Learning-based Chaining-Cluster for Multilingual Voice-Face Association


Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs


Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words


Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion


Contrastive Loss is All You Need to Recover Analogies as Parallel Lines


Contrastive Losses and Solution Caching for Predict-and-Optimize


Contrastive Masked Autoencoders are Stronger Vision Learners


Contrastive Masked Autoencoders for Self-Supervised Video Hashing


Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation


Contrastive Meta Learning with Behavior Multiplicity for Recommendation


Contrastive Meta-Learning for Few-shot Node Classification


Contrastive Meta-Learning for Partially Observable Few-Shot Learning


Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness


Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain


Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation


Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning


Contrastive Monotonic Pixel-Level Modulation


Contrastive Multi-document Question Generation


Contrastive Multimodal Fusion with TupleInfoNCE


Contrastive Neural Architecture Search with Neural Architecture Comparators


Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning


Contrastive Out-of-Distribution Detection for Pretrained Transformers


Contrastive Pretraining for Echocardiography Segmentation with Limited Data


Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes


Contrastive Principal Component Analysis


Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering


Contrastive Pseudo Learning for Open-World DeepFake Attribution


Contrastive Quantization with Code Memory for Unsupervised Image Retrieval


Contrastive Reinforcement Learning of Symbolic Reasoning Domains


Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs


Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks


Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation


Contrastive Representation Learning for Gaze Estimation


Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning


Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL


Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal


Contrastive Self-Supervised Learning for Wireless Power Control


Contrastive Self-supervised Neural Architecture Search


Contrastive Self-supervised Sequential Recommendation with Robust Augmentation


Contrastive Semantic-Guided Image Smoothing Network


Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank


Contrastive Sequential-Diffusion Learning: Non-linear and Multi-Scene Instructional Video Synthesis


Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents


Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation


Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems


Contrastive Supervised Distillation for Continual Representation Learning


Contrastive Training of Complex-Valued Autoencoders for Object Discovery


Contrastive Trajectory Similarity Learning with Dual-Feature Attention


Contrastive Transformation for Self-supervised Correspondence Learning


Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search


Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection


Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget


Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning


Contrastive Variational Autoencoder Enhances Salient Features


Contrastive Variational Reinforcement Learning for Complex Observations


Contrastive Vicinal Space for Unsupervised Domain Adaptation


Contrastive Video Question Answering via Video Graph Transformer


Contrastive Vision-Language Alignment Makes Efficient Instruction Learner


Contrastive Vision-Language Pre-training with Limited Resources


Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding


Contrastive and Selective Hidden Embeddings for Medical Image Segmentation


Contrastive independent component analysis


Contrastive language and vision learning of general fashion concepts


Contrastive latent variable modeling with application to case-control sequencing experiments


Contrastive learning of T cell receptor representations


Contrastive learning of global and local features for medical image segmentation with limited annotations


Contrastive variational information bottleneck for aspect-based sentiment analysis


Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification


Contrastive-Signal-Dependent Plasticity: Self-Supervised Learning in Spiking Neural Circuits


ContrastiveGaussian: High-Fidelity 3D Generation with Contrastive Learning and Gaussian Splatting


Contrastively Disentangled Sequential Variational Autoencoder


Contributing Dimension Structure of Deep Feature for Coreset Selection


Contributions of El Niño Southern Oscillation (ENSO) Diversity to Low-Frequency Changes in ENSO Variance


Contributions of Individual Generators to Nodal Carbon Emissions


Contributions of Shape, Texture, and Color in Visual Recognition


Control Aspects for Using RIS in Latency-Constrained Mobile Edge Computing


Control Barrier Functions for Collision Avoidance Between Strongly Convex Regions


Control Barrier Functions in Sampled-Data Systems


Control Design of Dynamic Virtual Power Plants: An Adaptive Divide-and-Conquer Approach


Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression


Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning


Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation


Control Illusion: The Failure of Instruction Hierarchies in Large Language Models


Control Industrial Automation System with Large Language Model Agents


Control LLM: Controlled Evolution for Intelligence Retention in LLM


Control Matching via Discharge Code Sequences


Control Pneumatic Soft Bending Actuator with Online Learning Pneumatic Physical Reservoir Computing


Control Regularization for Reduced Variance Reinforcement Learning


Control Risk for Potential Misuse of Artificial Intelligence in Science


Control Theory and Experimental Design in Diffusion Processes


Control Variates for Slate Off-Policy Evaluation


Control What You Can: Intrinsically Motivated Task-Planning Agent


Control and stabilization of geometrically exact beams


Control for Multifunctionality: Bioinspired Control Based on Feeding in Aplysia californica


Control hubs of complex networks and a polynomial-time identification algorithm


Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning


Control of Dual-Sourcing Inventory Systems using Recurrent Neural Networks


Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty


Control of McKean--Vlasov SDEs with Contagion Through Killing at a State-Dependent Intensity


Control of Medical Digital Twins with Artificial Neural Networks


Control of Multistability through Local Sensitivity Analysis: Application to Cellular Decision-making Networks


Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime


Control of Stochastic Quantum Dynamics by Differentiable Programming


Control of Vortex Dynamics using Invariants


Control of bifurcation structures using shape optimization


Control of diffusion-driven pattern formation behind a wave of competency


Control of nonlinear, complex and black-boxed greenhouse system with reinforcement learning


Control of the Stefan problem in a periodic box


Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback Learning


Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata


Control-Informed Reinforcement Learning for Chemical Processes


Control-Tree Optimization: an approach to MPC under discrete Partial Observability


Control-flow Reconstruction Attacks on Business Process Models


ControlAR: Controllable Image Generation with Autoregressive Models


ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise


ControlCap: Controllable Region-level Captioning


ControlCity: A Multimodal Diffusion Model Based Approach for Accurate Geospatial Data Generation and Urban Morphology Analysis


ControlEdit: A MultiModal Local Clothing Image Editing Method


ControlFlag: A Self-Supervised Idiosyncratic Pattern Detection System for Software Control Structures


ControlLLM: Augment Language Models with Tools by Searching on Graphs


ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models


ControlNeXt: Powerful and Efficient Control for Image and Video Generation


ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback


ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems


ControlSR: Taming Diffusion Models for Consistent Real-World Image Super Resolution


ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control


ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence


ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations


ControlThinker: Unveiling Latent Semantics for Controllable Image Generation through Visual Reasoning


ControlVAR: Exploring Controllable Visual Autoregressive Modeling


ControlVC: Zero-Shot Voice Conversion with Time-Varying Controls on Pitch and Speed


ControlVideo: Conditional Control for One-shot Text-driven Video Editing and Beyond


ControlVideo: Training-free Controllable Text-to-Video Generation


Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms


Controllability and Observability of Temporal Hypergraphs


Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems


Controllable 3D Face Generation with Conditional Style Code Diffusion


Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance


Controllable 3D Outdoor Scene Generation via Scene Graphs


Controllable Abstractive Dialogue Summarization with Sketch Supervision


Controllable Artistic Text Style Transfer via Shape-Matching GAN


Controllable Citation Sentence Generation with Language Models


Controllable Context Sensitivity and the Knob Behind It


Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights


Controllable Continuous Gaze Redirection


Controllable Conversations: Planning-Based Dialogue Agent with Large Language Models


Controllable Dance Generation with Style-Guided Motion Diffusion


Controllable Data Augmentation Through Deep Relighting


Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation


Controllable Dialogue Simulation with In-Context Learning


Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction


Controllable Emotion Generation with Emotion Vectors


Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model


Controllable Fake Document Infilling for Cyber Deception


Controllable Game Level Generation: Assessing the Effect of Negative Examples in GAN Models


Controllable Generation from Pre-trained Language Models via Inverse Prompting


Controllable Generation with Text-to-Image Diffusion Models: A Survey


Controllable Group Choreography using Contrastive Diffusion


Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation


Controllable Lexical Simplification for English


Controllable List-wise Ranking for Universal No-reference Image Quality Assessment


Controllable Mind Visual Diffusion Model


Controllable Mixed-Initiative Dialogue Generation through Prompting


Controllable Motion Generation via Diffusion Modal Coupling


Controllable Multi-Character Psychology-Oriented Story Generation


Controllable Multi-Interest Framework for Recommendation


Controllable Multi-Objective Re-ranking with Policy Hypernetworks


Controllable Navigation Instruction Generation with Chain of Thought Prompting


Controllable Neural Dialogue Summarization with Personal Named Entity Planning


Controllable Neural Story Plot Generation via Reward Shaping


Controllable Open-ended Question Generation with A New Question Type Ontology


Controllable Orthogonalization in Training DNNs


Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization


Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment


Controllable Prompt Tuning For Balancing Group Distributional Robustness


Controllable Protein Sequence Generation with LLM Preference Optimization


Controllable Semantic Parsing via Retrieval Augmentation


Controllable Sequence Editing for Biological and Clinical Trajectories


Controllable Style Transfer via Test-time Training of Implicit Neural Representation


Controllable Summarization with Constrained Markov Decision Process


Controllable Talking Face Generation by Implicit Facial Keypoints Editing


Controllable Text Generation for Large Language Models: A Survey


Controllable Text Generation with Residual Memory Transformer


Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey


Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting


Controllable Textual Inversion for Personalized Text-to-Image Generation


Controllable User Dialogue Act Augmentation for Dialogue State Tracking


Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network


Controllable Video Captioning with an Exemplar Sentence


Controllable and Compositional Generation with Latent-Space Energy-Based Models


Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets


Controllable cardiac synthesis via disentangled anatomy arithmetic


Controlled Analyses of Social Biases in Wikipedia Bios


Controlled Crowdsourcing for High-Quality QA-SRL Annotation


Controlled DC Monitoring of a Superconducting Qubit


Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills


Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models


Controlled Evaluation of Syntactic Knowledge in Multilingual Language Models


Controlled Gaussian Process Dynamical Models with Application to Robotic Cloth Manipulation


Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction


Controlled Interacting Particle Algorithms for Simulation-based Reinforcement Learning


Controlled Language Generation for Language Learning Items


Controlled Latent Diffusion Models for 3D Porous Media Reconstruction


Controlled Molecule Generator for Optimizing Multiple Chemical Properties


Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints


Controlled Synchronization of Coupled Pendulums by Koopman Model Predictive Control


Controlled Territory and Conflict Tracking (CONTACT): (Geo-)Mapping Occupied Territory from Open Source Intelligence


Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor


Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs


Controlled Text Generation with Hidden Representation Transformations


Controlled Variable Selection from Summary Statistics Only? A Solution via GhostKnockoffs and Penalized Regression


Controlled invariant sets: implicit closed-form representations and applications


Controlled stochastic processes for simulated annealing


Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites


Controller Synthesis from Noisy-Input Noisy-Output Data


Controller-based Energy-Aware Wireless Sensor Network Routing using Quantum Algorithms


Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning


Controlling Bias Exposure for Fair Interpretable Predictions


Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning


Controlling Continuous Relaxation for Combinatorial Optimization


Controlling Costs: Feature Selection on a Budget


Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets


Controlling Dataflows with a Bolt-on Data Escrow


Controlling Dialogue Generation with Semantic Exemplars


Controlling Directions Orthogonal to a Classifier


Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences


Controlling Fairness and Bias in Dynamic Learning-to-Rank


Controlling Hallucinations at Word Level in Data-to-Text Generation


Controlling Language and Diffusion Models by Transporting Activations


Controlling Large Language Model with Latent Actions


Controlling Latent Diffusion Using Latent CLIP


Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text Detection


Controlling Output Length in Neural Encoder-Decoders


Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search


Controlling Perceptual Factors in Neural Style Transfer


Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model


Controlling Recurrent Neural Networks by Diagonal Conceptors


Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework


Controlling Style and Semantics in Weakly-Supervised Image Generation


Controlling Styles in Neural Machine Translation with Activation Prompt


Controlling Text Complexity in Neural Machine Translation


Controlling Text Edition by Changing Answers of Specific Questions


Controlling biomolecular condensates via chemical reactions


Controlling dynamics of stochastic systems with deep reinforcement learning


Controlling epidemics through optimal allocation of test kits and vaccine doses across networks


Controlling false discoveries in Bayesian gene networks with lasso regression p-values


Controlling generative models with continuous factors of variations


Controlling keywords and their positions in text generation


Controlling mode competition by tailoring the spatial pump distribution in a laser: A resonance-based approach


Controlling morphology in hybrid isotropic/patchy particle assemblies


Controlling nonergodicity in quantum many-body systems by reinforcement learning


Controlling photon-magnon coupling using another magnon


Controlling quantum many-body systems using reduced-order modelling


Controlling stable Bloch points with electric currents


Controlling the Amount of Verbatim Copying in Abstractive Summarization


Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning


Controlling the Focus of Pretrained Language Generation Models


Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting


Controlling the Output of a Generative Model by Latent Feature Vector Shifting


Controlling the false discovery rate in high-dimensional linear models using model-X knockoffs and $p$-values


Controlling volume fluctuations for studies of critical phenomena in nuclear collisions


Controversial stimuli: pitting neural networks against each other as models of human recognition


Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets


Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition


ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI


ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition


ConvDySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention and Convolutional Neural Networks


ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering


ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation


ConvGQR: Generative Query Reformulation for Conversational Search


ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets


ConvGenVisMo: Evaluation of Conversational Generative Vision Models


ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models


ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format


ConvMLP: Hierarchical Convolutional MLPs for Vision


ConvMixFormer- A Resource-efficient Convolution Mixer for Transformer-based Dynamic Hand Gesture Recognition


ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy


ConvPIM: Evaluating Digital Processing-in-Memory through Convolutional Neural Network Acceleration


ConvPoint: Continuous Convolutions for Point Cloud Processing


ConvSDG: Session Data Generation for Conversational Search


ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning


ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation


ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing


Convective dynamics and the response of precipitation extremes to warming in radiative-convective equilibrium


Convective heat transfer in the Burgers-Rayleigh-Bénard system


Convective mixing in gas giant planets with primordial composition gradients


Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data


Converge to the Truth: Factual Error Correction via Iterative Constrained Editing


Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent


Convergence Analysis of Accelerated Stochastic Gradient Descent under the Growth Condition


Convergence Analysis of Data Augmentation Algorithms for Bayesian Robust Multivariate Linear Regression with Incomplete Data


Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings


Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based Penalties


Convergence Guarantees of Model-free Policy Gradient Methods for LQR with Stochastic Data


Convergence Properties of Iteratively Coupled Surface-Subsurface Models


Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation


Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games


Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation


Convergence Rates for the Generalized Fréchet Mean via the Quadruple Inequality


Convergence Rates of Gradient Methods for Convex Optimization in the Space of Measures


Convergence analysis for image interpolation in terms of the cSSIM


Convergence analysis of Adaptive Locally Iterative Filtering and SIFT method


Convergence analysis of particle swarm optimization using stochastic Lyapunov functions and quantifier elimination


Convergence and Applications of ADMM on the Multi-convex Problems


Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering


Convergence and Robustness of Value and Policy Iteration for the Linear Quadratic Regulator


Convergence and error control of consistent PINNs for elliptic PDEs


Convergence bounds for nonlinear least squares and applications to tensor recovery


Convergence for nonconvex ADMM, with applications to CT imaging


Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent Target Distributions on Large Graphs


Convergence of Fourier-domain templates for inspiraling eccentric compact binaries


Convergence of Gradient Methods on Bilinear Zero-Sum Games


Convergence of Langevin-Simulated Annealing algorithms with multiplicative noise


Convergence of Learning Dynamics in Stackelberg Games


Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity


Convergence of Proximal Policy Gradient Method for Problems with Control Dependent Diffusion Coefficients


Convergence of Regularization Parameters for Solutions Using the Filtered Truncated Singular Value Decomposition


Convergence of Riemannian Stochastic Gradient Descent on Hadamard Manifold


Convergence of Sequential Quasi-Monte Carlo Smoothing Algorithms


Convergence of Shallow ReLU Networks on Weakly Interacting Data


Convergence of Sparse Variational Inference in Gaussian Processes Regression


Convergence of a L2 regularized Policy Gradient Algorithm for the Multi Armed Bandit


Convergence of flow-based generative models via proximal gradient descent in Wasserstein space


Convergence of regularized particle filters for stochastic reaction networks


Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity


Convergence of the Deep BSDE method for FBSDEs with non-Lipschitz coefficients


Convergence of the Deep Galerkin Method for Mean Field Control Problems


Convergence of the Planewave Approximations for Quantum Incommensurate Systems


Convergence of the Preconditioned Proximal Point Method and Douglas-Rachford Splitting in the Absence of Monotonicity


Convergence properties of data augmentation algorithms for high-dimensional robit regression


Convergence rate bounds for iterative random functions using one-shot coupling


Convergence rates for random feature neural network approximation in molecular dynamics


Convergence-divergence models: Generalizations of phylogenetic trees modeling gene flow over time


Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction


Convergent Data-driven Regularizations for CT Reconstruction


Convergent Learning: Do different neural networks learn the same representations?


Convergent Migration Renders TRAPPIST-1 Long-lived


Convergent Policy Optimization for Safe Reinforcement Learning


Convergent Primal-Dual Plug-and-Play Image Restoration: A General Algorithm and Applications


Convergent and Efficient Deep Q Network Algorithm


Convergent autoencoder approximation of low bending and low distortion manifold embeddings


Converging Periodic Boundary Conditions and Detection of Topological Gaps on Regular Hyperbolic Tessellations


Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction


Conversation-Based Complex Event Management in Smart-Spaces


Conversation-Based Multimodal Abuse Detection Through Text and Graph Embeddings


Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews


Conversational Disease Diagnosis via External Planner-Controlled Large Language Models


Conversational Document Prediction to Assist Customer Care Agents


Conversational Dueling Bandits in Generalized Linear Models


Conversational Entity Linking: Problem Definition and Datasets


Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs


Conversational Factor Information Retrieval Model (ConFIRM)


Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback


Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis


Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets


Conversational Health Agents: A Personalized LLM-Powered Agent Framework


Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts


Conversational Neuro-Symbolic Commonsense Reasoning


Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?


Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks


Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue


Conversational Semantic Parsing for Dialog State Tracking


Conversational Semantic Parsing using Dynamic Context Graphs


Conversational Tree Search: A New Hybrid Dialog Task


Conversational Word Embedding for Retrieval-Based Dialog System


Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances


Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations


Conversations in Galician: a Large Language Model for an Underrepresented Language


Conversations with Search Engines: SERP-based Conversational Response Generation


Converse, Focus and Guess -- Towards Multi-Document Driven Dialogue


Converse: A Tree-Based Modular Task-Oriented Dialogue System


Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading


Conversion Between Cubic Bezier Curves and Catmull-Rom Splines


Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative


Convert, compress, correct: Three steps toward communication-efficient DNN training


Converter: Enhancing Interoperability in Research Data Management


Converting ADMM to a Proximal Gradient for Efficient Sparse Estimation


Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion


Converting Depth Images and Point Clouds for Feature-based Pose Estimation


Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation


Convex Approximations for a Bi-level Formulation of Data-Enabled Predictive Control


Convex Bounds on the Softmax Function with Applications to Robustness Verification


Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization


Convex Computations for Controlled Safety Invariant Sets of Black-box Discrete-time Dynamical Systems


Convex Constrained Controller Synthesis for Evolution Equations


Convex Covariate Clustering for Classification


Convex Density Constraints for Computing Plausible Counterfactual Explanations


Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components


Convex Formulation of Multiple Instance Learning from Positive and Unlabeled Bags


Convex Formulations for Fair Principal Component Analysis


Convex Formulations for Training Two-Layer ReLU Neural Networks


Convex Geometric Trajectory Tracking using Lie Algebraic MPC for Autonomous Marine Vehicles


Convex Hull-based Algebraic Constraint for Visual Quadric SLAM


Convex Is Back: Solving Belief MDPs With Convexity-Informed Deep Reinforcement Learning


Convex Mixed-Integer Nonlinear Programs Derived from Generalized Disjunctive Programming using Cones


Convex Optimization Over Risk-Neutral Probabilities


Convex Optimization for Parameter Synthesis in MDPs


Convex Optimization of Initial Perturbations toward Quantitative Weather Control


Convex Parameterization of Stabilizing Controllers and its LMI-based Computation via Filtering


Convex Reformulation of LMI-Based Distributed Controller Design with a Class of Non-Block-Diagonal Lyapunov Functions


Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World


Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Space


Convex Restriction of Feasible Sets for AC Radial Networks


Convex characters, algorithms and matchings


Convex envelope method for T, p flash calculations for chemical systems with an arbitrary number of components and arbitrary aggregate states


Convex mixed-integer optimization with Frank-Wolfe methods


Convex neural network synthesis for robustness in the 1-norm


Convex optimization for actionable \& plausible counterfactual explanations


Convex polyhedral meshing for robust solid modeling


Convex regularization of discrete-valued inverse problems


Convex space learning for tabular synthetic data generation


Conveying Emotions to Robots through Touch and Sound


Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction


Conveyor: Efficient Tool-aware LLM Serving with Tool Partial Execution


Conviformers: Convolutionally guided Vision Transformer


Convincing Rationales for Visual Question Answering Reasoning


ConvoCache: Smart Re-Use of Chatbot Responses


ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI


ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining


Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification


Convolution Lagrangian Perturbation Theory for biased tracers beyond general relativity


Convolution Neural Networks for diagnosing colon and lung cancer histopathological images


Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection


Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries


Convolution kernel adaptation to calibrated fisheye


Convolution kernels for multi-wavelength imaging


Convolution-based Probability Gradient Loss for Semantic Segmentation


Convolutional Autoencoders for Human Motion Infilling


Convolutional Bayesian Kernel Inference for 3D Semantic Mapping


Convolutional CRFs for Semantic Segmentation


Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm


Convolutional Complex Knowledge Graph Embeddings


Convolutional Cross-View Pose Estimation


Convolutional Deblurring for Natural Imaging


Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy


Convolutional Embedding for Edit Distance


Convolutional Experts Constrained Local Model for Facial Landmark Detection


Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization


Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation


Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging


Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty


Convolutional Generation of Textured 3D Meshes


Convolutional Hypercomplex Embeddings for Link Prediction


Convolutional Kernel Networks for Graph-Structured Data


Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows


Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery


Convolutional Learning on Directed Acyclic Graphs


Convolutional Monge Mapping Normalization for learning on sleep data


Convolutional Nets for Diabetic Retinopathy Screening in Bangladeshi Patients


Convolutional Networks with Oriented 1D Kernels


Convolutional Neural Nets in Chemical Engineering: Foundations, Computations, and Applications


Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)


Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification


Convolutional Neural Network Based Metal Artifact Reduction in X-ray Computed Tomography


Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)


Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and Classification


Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution


Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios


Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations


Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation


Convolutional Neural Network-Based Image Watermarking using Discrete Wavelet Transform


Convolutional Neural Network-based Efficient Dense Point Cloud Generation using Unsigned Distance Fields


Convolutional Neural Networks Do Work with Pre-Defined Filters


Convolutional Neural Networks In Convolution


Convolutional Neural Networks and Volcano Plots: Screening and Prediction of Two-Dimensional Single-Atom Catalysts


Convolutional Neural Networks combined with Runge-Kutta Methods


Convolutional Neural Networks for Aircraft Noise Monitoring


Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation


Convolutional Neural Networks for Direct Detection of Dark Matter


Convolutional Neural Networks for Searching Superflares from Pixel-level Data of the Transiting Exoplanet Survey Satellite


Convolutional Neural Networks on the HEALPix sphere: a pixel-based algorithm and its application to CMB data analysis


Convolutional Neural Networks over Control Flow Graphs for Software Defect Prediction


Convolutional Neural Networks to Enhance Coded Speech


Convolutional Neural Networks with Gated Recurrent Connections


Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans


Convolutional Neural Networks with Layer Reuse


Convolutional Neural Opacity Radiance Fields


Convolutional Non-homogeneous Poisson Process with Application to Wildfire Risk Quantification for Power Delivery Networks


Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training


Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects


Convolutional Recurrent Neural Networks for Electrocardiogram Classification


Convolutional STN for Weakly Supervised Object Localization


Convolutional Sequence to Sequence Model for Human Dynamics


Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation


Convolutional Simultaneous Sparse Approximation with Applications to RGB-NIR Image Fusion


Convolutional Social Pooling for Vehicle Trajectory Prediction


Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction


Convolutional Tensor-Train LSTM for Spatio-temporal Learning


Convolutional Vision Transformer for Cosmology Parameter Inference


Convolutional autoencoders for spatially-informed ensemble post-processing


Convolutional conditional neural processes for local climate downscaling


Convolutional dictionary learning based auto-encoders for natural exponential-family distributions


Convolutional hybrid-PIC modeling of non-neutral plasmas


Convolutional neural network models for cancer type prediction based on gene expression


Convolutional neural networks applied to modification of images


Convolutional neural networks for automatic detection of Focal Cortical Dysplasia


Convolutional neural networks for classification and regression analysis of one-dimensional spectral data


Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data


Convolutional neural networks with low-rank regularization


Convolutional neural networks: a magic bullet for gravitational-wave detection?


Convolutional restricted Boltzmann machine aided Monte Carlo: An application to Ising and Kitaev models


Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image Denoising


Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP


Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models


Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation


Convolve and Conquer: Data Comparison with Wiener Filters


ConvoyLLM: Dynamic Multi-Lane Convoy Control Using LLMs


ConvoyNext: A Scalable Testbed Platform for Cooperative Autonomous Vehicle Systems


Conway Subgroup Symmetric Compactifications Redux


CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing


CooTest: An Automated Testing Approach for V2X Communication Systems


Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes


CookAR: Affordance Augmentations in Wearable AR to Support Kitchen Tool Interactions for People with Low Vision


CookDial: A dataset for task-oriented dialogs grounded in procedural documents


CookGAN: Meal Image Synthesis from Ingredients


Cookie Monster: Efficient On-device Budgeting for Differentially-Private Ad-Measurement Systems


Cookiescanner: An Automated Tool for Detecting and Evaluating GDPR Consent Notices on Websites


Cooking Up Creativity: A Cognitively-Inspired Approach for Enhancing LLM Creativity through Structured Representations


Cool-3D: An End-to-End Thermal-Aware Framework for Early-Phase Design Space Exploration of Microfluidic-Cooled 3DICs


CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing


CoolWalks for active mobility in urban street networks


Cooling Improves Cosmic Microwave Background Map-Making When Low-Frequency Noise is Large


Cooling flows around cold clouds in the circumgalactic medium: steady-state models & comparison with TNG50


Cooling of a granular gas mixture in microgravity


Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises


CoopScenes: Multi-Scene Infrastructure and Vehicle Data for Advancing Collective Perception in Autonomous Driving


Cooperation Does Matter: Exploring Multi-Order Bilateral Relations for Audio-Visual Segmentation


Cooperation Dynamics in Multi-Agent Systems: Exploring Game-Theoretic Scenarios with Mean-Field Equilibria


Cooperation and the Design of Public Goods


Cooperation and the social brain hypothesis in primate social networks


Cooperation between Independent Market Makers


Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders


Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation


Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic


Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles


Cooperative Bi-path Metric for Few-shot Learning


Cooperative Classification and Rationalization for Graph Generalization


Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations


Cooperative Distributed MPC via Decentralized Real-Time Optimization: Implementation Results for Robot Formations


Cooperative Distribution Alignment via JSD Upper Bound


Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network


Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation


Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks


Cooperative Knowledge Distillation: A Learner Agnostic Approach


Cooperative Learning of Disjoint Syntax and Semantics


Cooperative Meta-Learning with Gradient Augmentation


Cooperative Minibatching in Graph Neural Networks


Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution


Cooperative Network Learning for Large-Scale and Decentralized Graphs


Cooperative Object Transportation using Gibbs Random Fields


Cooperative Online Learning with Feedback Graphs


Cooperative Patrol Routing: Optimizing Urban Crime Surveillance through Multi-Agent Reinforcement Learning


Cooperative Pursuit with Multi-Pursuer and One Faster Free-moving Evader


Cooperative Resilience in Artificial Intelligence Multiagent Systems


Cooperative Retriever and Ranker in Deep Recommenders


Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation


Cooperative Self-training of Machine Reading Comprehension


Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach


Cooperative Sentiment Agents for Multimodal Sentiment Analysis


Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection


Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation


Cooperative Tuning of Multi-Agent Optimal Control Systems


Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots


Cooperative coevolution of real predator robots and virtual robots in the pursuit domain


Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control


Cooperative success in epithelial public goods games


Cooptimizing Safety and Performance with a Control-Constrained Formulation


CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying


CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs


Coordinate Linear Variance Reduction for Generalized Linear Programming


Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction


Coordinate descent full configuration interaction


Coordinate descent on the orthogonal group for recurrent neural network training


Coordinate-Aware Modulation for Neural Fields


Coordinate-Aware Thermal Infrared Tracking Via Natural Language Modeling


Coordinate-based neural representations for computational adaptive optics in widefield microscopy


Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning


Coordinated Motion Planning Through Randomized k-Opt


Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks


Coordinated Multi-Neighborhood Learning on a Directed Acyclic Graph


Coordinated Reply Attacks in Influence Operations: Characterization and Detection


Coordinated Spatial Reuse Scheduling With Machine Learning in IEEE 802.11 MAPC Networks


Coordinated Sum-Rate Maximization in Multicell MU-MIMO with Deep Unrolling


Coordinates Are NOT Lonely -- Codebook Prior Helps Implicit Neural 3D Representations


Coordinating Narratives and the Capitol Riots on Parler


Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic Learning


Coordination Annotation Extension in the Penn Tree Bank


Coordination Event Detection and Initiator Identification in Time Series Data


Coordination of Electrical and Heating Resources by Self-Interested Agents


Cophylogeny Reconstruction Allowing for Multiple Associations Through Approximate Bayesian Computation


Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair


Coping With Simulators That Don't Always Return


Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions


Coping with seasons: evolutionary dynamics of gene networks in a changing environment


Copolymer Informatics with Multi-Task Deep Neural Networks


Coport: A New Public Code for Polarized Radiative Transfer in a Covariant Framework$^\spadesuit$


Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation


Copula Analysis of Risk: A Multivariate Risk Analysis for VaR and CoVaR using Copulas and DCC-GARCH


Copula Conformal Prediction for Multi-step Time Series Forecasting


Copula Entropy based Variable Selection for Survival Analysis


Copula methods for modeling pair densities in density functional theory


Copula-based synthetic data augmentation for machine-learning emulators


Copula-based transferable models for synthetic population generation


Copulas.jl: A fully Distributions.jl-compliant copula package


Copy Move Source-Target Disambiguation through Multi-Branch CNNs


Copy Suppression: Comprehensively Understanding an Attention Head


Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks


Copy mechanism and tailored training for character-based data-to-text generation


Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models


Copy-Move Detection in Optical Microscopy: A Segmentation Network and A Dataset


Copy-Move Forgery Detection and Question Answering for Remote Sensing Image


Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation


Copy-and-Patch Compilation: A fast compilation algorithm for high-level languages and bytecode


CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation


CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning


CopyNE: Better Contextual ASR by Copying Named Entities


CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields


CopySpec: Accelerating LLMs with Speculative Copy-and-Paste Without Compromising Quality


Copyright Traps for Large Language Models


Copyright Violations and Large Language Models


Copyright-Protected Language Generation via Adaptive Model Fusion


CoqPilot, a plugin for LLM-based generation of proofs


CoqPyt: Proof Navigation in Python in the Era of LLMs


CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning


CorPipe at CRAC 2024: Predicting Zero Mentions from Raw Text


Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata Ecosystems


Core Box Image Recognition and its Improvement with a New Augmentation Technique


Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications


Core Imaging Library -- Part II: Multichannel reconstruction for dynamic and spectral tomography


Core Semantic First: A Top-down Approach for AMR Parsing


Core Tokensets for Data-efficient Sequential Training of Transformers


Core consistency diagnosis for Block Term Decomposition in rank $(L_r, L_r, 1)$


Core-Set Selection for Data-efficient Land Cover Segmentation


Core-periphery Detection Based on Masked Bayesian Non-negative Matrix Factorization


Core-periphery detection in multilayer networks


Core-to-Core X-ray Emission Spectra from Wannier Based Multiplet Ligand Field Theory


Core: Robust Factual Precision with Informative Sub-Claim Identification


CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark


CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization


CoreGen: Contextualized Code Representation Learning for Commit Message Generation


CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models


CoreNEURON : An Optimized Compute Engine for the NEURON Simulator


CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object Detection


CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities


Coreference Graph Guidance for Mind-Map Generation


Coreference Reasoning in Machine Reading Comprehension


Coreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural Network


Coreference Resolution in Research Papers from Multiple Domains


Coreference Resolution without Span Representations


Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading Comprehension


Coreferential Reasoning Learning for Language Representation


Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning


Coreset selection for the Sinkhorn divergence and generic smooth divergences


Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning


Coresets for Clustering with Fairness Constraints


Coresets for Data-efficient Training of Machine Learning Models


Coresets for Minimum Enclosing Balls over Sliding Windows


Coresets for Regressions with Panel Data


Coresets for Relational Data and The Applications


Coresets for Scalable Bayesian Logistic Regression


Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering


Coresets for Wasserstein Distributionally Robust Optimization Problems


Coresets remembered and items forgotten: submodular maximization with deletions


Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration


Corn Yield Prediction Model with Deep Neural Networks for Smallholder Farmer Decision Support System


Corneal endothelium assessment in specular microscopy images with Fuchs' dystrophy via deep regression of signed distance maps


Cornell SPF: Cornell Semantic Parsing Framework


Corner Proposal Network for Anchor-free, Two-stage Object Detection


Cornucopia: A Framework for Feedback Guided Generation of Binaries


CoroBase: Coroutine-Oriented Main-Memory Database Engine


CoronaVis: A Real-time COVID-19 Tweets Analyzer


CoronaZ: another distributed systems project


Coronal Mass Ejection Image Edge Detection In Heliospheric Imager STEREO SECCHI Data


CoronaryHemodynamics: An Automated Simulation Framework for Coronary Artery Hemodynamics Using OpenFOAM


Corotational Hinge-based Thin Plates/Shells


Corpora Evaluation and System Bias Detection in Multi-document Summarization


Corporate Fraud Detection in Rich-yet-Noisy Financial Graph


Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems


Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text


Corpus Poisoning via Approximate Greedy Gradient Descent


Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English Varieties


Corpus-Level End-to-End Exploration for Interactive Systems


Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence


Corpus-Steered Query Expansion with Large Language Models


Corpus-based Open-Domain Event Type Induction


CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks


CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks


CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning


CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic Segmentation


CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric


CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation


CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds


Correct Me If You Can: Learning from Error Corrections and Markings


Correct after Answer: Enhancing Multi-Span Question Answering with Post-Processing Method


Correct block-design experiments mitigate temporal correlation bias in EEG classification


Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations


Correct-by-construction reach-avoid control of partially observable linear stochastic systems


CorrectBench: Automatic Testbench Generation with Functional Self-Correction using LLMs for HDL Design


Correctable Landmark Discovery via Large Models for Vision-Language Navigation


Corrected CBOW Performs as well as Skip-gram


Corrected Correlation Estimates for Meta-Analysis


Corrected Trapezoidal Rules for Boundary Integral Equations in Three Dimensions


Corrected generalized cross-validation for finite ensembles of penalized estimators


Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR)


Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks


Correcting Conditional Mean Imputation for Censored Covariates and Improving Usability


Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection


Correcting Diffusion Generation through Resampling


Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling


Correcting Exposure Bias for Link Recommendation


Correcting Faulty Road Maps by Image Inpainting


Correcting Illumina sequencing errors for human data


Correcting Momentum in Temporal Difference Learning


Correcting Motion Distortion for LIDAR HD-Map Localization


Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts


Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding


Correcting Sociodemographic Selection Biases for Population Prediction from Social Media


Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices with Applications to Connectomics


Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations


Correcting for Model Changes in Statistical Postprocessing -- An approach based on Response Theory


Correcting for Selection Bias and Missing Response in Regression using Privileged Information


Correcting for interloper contamination in the power spectrum with neural networks


Correcting inter-scan motion artefacts in quantitative R1 mapping at 7T


Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective


Correcting misinformation on social media with a large language model


Correcting non-independent and non-identically distributed errors with surface codes


Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers


Correction of overfitting bias in regression models


Correction with Backtracking Reduces Hallucination in Summarization


Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models


Corrective or Backfire: Characterizing and Predicting User Response to Social Correction


Correctly Modeling TX and RX Chain in (Distributed) Massive MIMO -- New Fundamental Insights on Coherency


Correctness Assessment of Code Generated by Large Language Models Using Internal Representations


Correctness Attraction: A Study of Stability of Software Behavior Under Runtime Perturbation


Correlated Cascades: Compete or Cooperate


Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data


Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking


Correlated Read Noise Reduction in Infrared Arrays Using Deep Learning


Correlated Terahertz phonon-ion interactions control ion conduction in a solid electrolyte


Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping


Correlated daily time series and forecasting in the M4 competition


Correlated pseudo-marginal Metropolis-Hastings using quasi-Newton proposals


Correlated subgrain and particle analysis of a recovered Al-Mn alloy by directly combining EBSD and backscatter electron imaging


Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels


Correlates of Programmer Efficacy and Their Link to Experience: A Combined EEG and Eye-Tracking Study


Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: Evidence from Bayesian model averaging


Correlating Satellite Cloud Cover with Sky Cameras


Correlating Twitter Language with Community-Level Health Outcomes


Correlating Variational Autoencoders Natively For Multi-View Imputation


Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)


Correlating neural and symbolic representations of language


Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach


Correlation Alignment for Unsupervised Domain Adaptation


Correlation Clustering Algorithm for Dynamic Complete Signed Graphs: An Index-based Approach


Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds


Correlation Clustering with Adaptive Similarity Queries


Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost


Correlation Filter of 2D Laser Scans For Indoor Environment


Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation


Correlation Functions From Tensor Network Influence Functionals: The Case of the Spin-Boson Model


Correlation Loss: Enforcing Correlation between Classification and Localization


Correlation Matching Transformation Transformers for UHD Image Restoration


Correlation Robust Influence Maximization


Correlation Tracking via Joint Discrimination and Reliability Learning


Correlation Verification for Image Retrieval


Correlation and Navigation in the Vocabulary Key Representation Space of Language Models


Correlation and Unintended Biases on Univariate and Multivariate Decision Trees


Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations


Correlation detection in trees for planted graph alignment


Correlation functions for realistic continuous quantum measurement


Correlation inference attacks against machine learning models


Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant


Correlation of Object Detection Performance with Visual Saliency and Depth Estimation


Correlation of coalescence times in a diploid Wright-Fisher model with recombination and selfing


Correlation without Factors in Retail Cryptocurrency Markets


Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data


Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification


Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation


Correlation-Aware Neural Networks for DDoS Attack Detection In IoT Systems


Correlation-Based Band Selection for Hyperspectral Image Classification


Correlation-Enhanced Neural Networks as Interpretable Variational Quantum States


Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding


Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration


Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning Approach


Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection


Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks


Correlation-based Discovery of Disease Patterns for Syndromic Surveillance


Correlation-based feature selection to identify functional dynamics in proteins


Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference


Correlation-induced valley topology in buckled graphene superlattices


Correlation-weighted 23Na magnetic resonance fingerprinting in the brain


Correlations Are Ruining Your Gradient Descent


Correlations from structure and phylogeny combine constructively in the inference of protein partners from sequences


Correlations in Disordered Solvable Tensor Network States


Correlations in entanglement-assisted prepare-and-measure scenarios


Correlations in the elastic Landau level of spontaneously buckled graphene


Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry


Correlative and in situ microscopy investigation of phase transformation, crystal growth and degradation of antimony sulfide thin films


Correlators in superconformal quivers made QUICK


CorresNeRF: Image Correspondence Priors for Neural Radiance Fields


Correspondence Analysis Using Neural Networks


Correspondence Free Multivector Cloud Registration using Conformal Geometric Algebra


Correspondence Matters for Video Referring Expression Comprehension


Correspondence Networks with Adaptive Neighbourhood Consensus


Correspondence analysis: handling cell-wise outliers via the reconstitution algorithm


Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval


Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations


Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment


Corrigendum and Supplement to "Improve Language Modelling for Code Completion through Learning General Token Repetition of Source Code (with Optimized Memory)"


Corrigendum and addendum to: How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning


Corrupting Neuron Explanations of Deep Visual Features


Corruption-Robust Offline Reinforcement Learning with General Function Approximation


Cortical Features for Defense Against Adversarial Audio Attacks


Cortical Spike Synchrony as a Measure of Input Familiarity


Cortical surface registration using unsupervised learning


Cortico-cerebellar networks as decoupling neural interfaces


Corvo: Visualizing CellxGene Single-Cell Datasets in Virtual Reality


CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks


CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets


Cosine meets Softmax: A tough-to-beat baseline for visual grounding


Coslice Colimits in Homotopy Type Theory


Cosmic Background Removal with Deep Neural Networks in SBND


Cosmic Dragons: A Two-Component Mixture Model of COSMOS Galaxies


Cosmic Kite: Auto-encoding the Cosmic Microwave Background


Cosmic Ray Interstellar Propagation Tool using Itô Calculus (criptic): software for simultaneous calculation of cosmic ray transport and observational signatures


Cosmic Ray Rejection with Attention Augmented Deep Learning


Cosmic Reionization on Computers: Statistical Properties of the Distributions of Mean Opacities


Cosmic Void Baryon Acoustic Oscillation Measurement: Evaluation of Sensitivity to Selection Effects


Cosmic chronometers, Pantheon+ supernovae, and quasars favor coasting cosmologies over the flat $Λ$CDM model


Cosmic dissonance: new physics or systematics behind a short sound horizon?


Cosmic evolution of low-excitation radio galaxies in the LOFAR Two-meter Sky Survey Deep Fields


Cosmic evolution of the incidence of Active Galactic Nuclei in massive clusters: Simulations versus observations


Cosmic microwave background constraints on extended dark matter objects


Cosmic quenching and scaling laws for the evolution of supermassive black holes and host galaxies


Cosmic ray muon clustering for the MicroBooNE liquid argon time projection chamber using sMask-RCNN


Cosmic shear with small scales: DES-Y3, KiDS-1000 and HSC-DR1


Cosmic topology. Part I. Limits on orientable Euclidean manifolds from circle searches


Cosmic-Enu: An emulator for the non-linear neutrino power spectrum


Cosmic-ray propagation with DRAGON2: II. Nuclear interactions with the interstellar gas


Cosmic-ray upscattered inelastic dark matter


CosmoGLINT: Cosmological Generative Model for Line Intensity Mapping with Transformer


CosmoSIS: modular cosmological parameter estimation


Cosmoglobe: Simulating zodiacal emission with ZodiPy


Cosmography with next-generation gravitational wave detectors


Cosmological Constraints from Gas Mass Fractions of Massive, Relaxed Galaxy Clusters


Cosmological Constraints from the eBOSS Lyman-$α$ Forest using the PRIYA Simulations


Cosmological Distance Measurement of 12 Nearby Supernovae IIP with ROTSE-IIIB


Cosmological Fisher forecasts for next-generation spectroscopic surveys


Cosmological Flow of Primordial Correlators


Cosmological N-body simulations: a challenge for scalable generative models


Cosmological Parameter Estimation and Inference using Deep Summaries


Cosmological Parameter Estimation with Sequential Linear Simulation-based Inference


Cosmological Probes of Dark Matter Interactions: The Next Decade


Cosmological Results from the RAISIN Survey: Using Type Ia Supernovae in the Near Infrared as a Novel Path to Measure the Dark Energy Equation of State


Cosmological consequences of a scalar field with oscillating equation of state. IV. Primordial nucleosynthesis and the deuterium problem


Cosmological constraints from HSC Y1 lensing convergence PDF


Cosmological constraints from the tomography of DES-Y3 galaxies with CMB lensing from ACT DR4


Cosmological constraints on decaying axion-like particles: a global analysis


Cosmological constraints on the Multi Scalar Field Dark Matter model


Cosmological evolution of gas and supermassive black holes in idealized isolated halos


Cosmological measurements from void-galaxy and galaxy-galaxy clustering in the Sloan Digital Sky Survey


Cosmological parameters derived from the final (PR4) Planck data release


Cosmology Ruler Bookmark for Teaching and Outreach Purposes (Pen-and-pencil cosmological ruler calculator for everyone, especially students)


Cosmology and direct detection of the Dark Axion Portal


Cosmology dependency of halo masses and concentrations in hydrodynamic simulations


Cosmology from LOFAR Two-metre Sky Survey Data Release 2: Cross-correlation with the cosmic microwave background


Cosmology from large scale galaxy clustering and galaxy-galaxy lensing with Dark Energy Survey Science Verification data


Cosmology in the non-linear regime : the small scale miracle


Cosmology with Binary Neutron Stars: Does Mass-Redshift Correlation Matter?


Cosmology with Galaxy Cluster Phase Spaces


Cosmology with LIGO/Virgo dark sirens: Hubble parameter and modified gravitational wave propagation


Cosmology with Topological Deep Learning


Cosmology with the Laser Interferometer Space Antenna


Cosmology with the Redshift-Space Galaxy Bispectrum Monopole at One-Loop Order


Cosmology with the Roman Space Telescope -- Synergies with CMB lensing


Cosmology-informed neural networks to solve the background dynamics of the Universe


Cosmos 1.0: a multidimensional map of the emerging technology frontier


Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning


Cosmos: A Cost Model for Serverless Workflows in the 3D Compute Continuum


Cospectral vertices, walk-regular planar graphs and the echolocation problem


Cost Adaptation for Robust Decentralized Swarm Behaviour


Cost Analysis for Import and Export Using an Abstract Machine


Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach


Cost Effective Reproduction Number Based Strategies for Reducing Deaths from COVID-19


Cost Effectiveness Analyses for Sequential Multiple Assignment Randomized Trials


Cost Function Unrolling in Unsupervised Optical Flow


Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection


Cost Volume Pyramid Based Depth Inference for Multi-View Stereo


Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view Stereo


Cost and Reward Infused Metric Elicitation


Cost and efficiency requirements for a successful electricity storage in a highly renewable European energy system


Cost minimization of network services with buffer and end-to-end deadline constraints


Cost- and QoS-Efficient Serverless Cloud Computing


Cost-Accuracy Aware Adaptive Labeling for Active Learning


Cost-Aware Robust Tree Ensembles for Security Applications


Cost-Effective Big Data Orchestration Using Dagster: A Multi-Platform Approach


Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration


Cost-Effective, Low Latency Vector Search with Azure Cosmos DB


Cost-Efficient High-Resolution Linear Absorption Spectra Through Extrapolating the Dipole Moment from Real-Time Time-Dependent Electronic-Structure Theory


Cost-Efficient LLM Serving in the Cloud: VM Selection with KV Cache Offloading


Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach


Cost-Optimal Grouped-Query Attention for Long-Context Modeling


Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data


Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation


Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints


Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images


Cost-Sensitive Robustness against Adversarial Examples


Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics


Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index


Cost-aware Generalized $α$-investing for Multiple Hypothesis Testing


Cost-aware Joint Caching and Forwarding in Networks with Heterogeneous Cache Resources


Cost-effective Deep Learning Infrastructure with NVIDIA GPU


Cost-effective Framework for Gradual Domain Adaptation with Multifidelity


Cost-effective Instruction Learning for Pathology Vision and Language Analysis


Cost-effective On-device Continual Learning over Memory Hierarchy with Miro


Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation


Cost-efficient QFA Algorithm for Quantum Computers


Cost-of-Pass: An Economic Framework for Evaluating Language Models


Cost-optimal Seeding Strategy During a Botanical Pandemic in Domesticated Fields


Cost-sensitive Boosting Pruning Trees for depression detection on Twitter


Cost-sensitive Regularization for Label Confusion-aware Event Detection


CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering


Costs of Bayesian Parameter Estimation in Third-Generation Gravitational Wave Detectors: a Review of Acceleration Methods


Costs of Regional Equity and Autarky in a Renewable European Power System


Cotranscriptional kinetic folding of RNA secondary structures including pseudoknots


Cottention: Linear Transformers With Cosine Attention


Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edge


CoulGAT: An Experiment on Interpretability of Graph Attention Networks


Could AI Trace and Explain the Origins of AI-Generated Images and Text?


Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations


Could Thinking Multilingually Empower LLM Reasoning?


Could mass eccentricity explain the formation of orbits in wind turbines?


Couler: Unified Machine Learning Workflow Optimization in Cloud


Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields


Coulomb branch surgery: Holonomy saddles, S-folds and discrete symmetry gaugings


CounTR: Transformer-based Generalised Visual Counting


Councils in Action: Automating the Curation of Municipal Governance Data for Research


CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmark of Large Language Models in Mental Health Counseling


Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild


Count-based Novelty Exploration in Classical Planning


CountFormer: Multi-View Crowd Counting Transformer


Counter Turing Test ($CT^2$): Investigating AI-Generated Text Detection for Hindi -- Ranking LLMs based on Hindi AI Detectability Index ($ADI_{hi}$)


Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning


Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System


Counter-Interference Adapter for Multilingual Machine Translation


Counter-example Guided Learning of Bounds on Environment Behavior


Counter-examples in first-order optimization: a constructive approach


Counter-fitting Word Vectors to Linguistic Constraints


CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples


CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech


Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time


Counterexample-Driven Synthesis for Probabilistic Program Sketches


Counterexample-Guided Learning of Monotonic Neural Networks


Counterexamples to conjectures on the occupancy fraction of graphs


Counterfactual Adversarial Learning with Representation Interpolation


Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones


Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification


Counterfactual Augmentation for Multimodal Learning Under Presentation Bias


Counterfactual Behavior Cloning: Offline Imitation Learning from Imperfect Human Demonstrations


Counterfactual Concept Bottleneck Models


Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning


Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models


Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization


Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation


Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues


Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection


Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs


Counterfactual Depth from a Single RGB Image


Counterfactual Detection meets Transfer Learning


Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making


Counterfactual Evaluation of Peer-Review Assignment Policies


Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions


Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation


Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks


Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction


Counterfactual Explanations Using Optimization With Constraint Learning


Counterfactual Explanations for Continuous Action Reinforcement Learning


Counterfactual Explanations for Graph Classification Through the Lenses of Density


Counterfactual Explanations for Linear Optimization


Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder


Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ


Counterfactual Explanations for Natural Language Interfaces


Counterfactual Explanations for Time Series Forecasting


Counterfactual Explanations in Sequential Decision Making Under Uncertainty


Counterfactual Explanations of Neural Network-Generated Response Curves


Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change


Counterfactual Fairness by Combining Factual and Counterfactual Predictions


Counterfactual Fairness in Mortgage Lending via Matching and Randomization


Counterfactual Generation with Identifiability Guarantees


Counterfactual Generative Models for Time-Varying Treatments


Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks


Counterfactual Graphs for Explainable Classification of Brain Networks


Counterfactual Identifiability of Bijective Causal Models


Counterfactual Inference for Consumer Choice Across Many Product Categories


Counterfactual Inference of Second Opinions


Counterfactual Influence in Markov Decision Processes


Counterfactual Language Model Adaptation for Suggesting Phrases


Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline Evaluation


Counterfactual Learning on Graphs: A Survey


Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation


Counterfactual Learning with Multioutput Deep Kernels


Counterfactual MRI Data Augmentation using Conditional Denoising Diffusion Generative Models


Counterfactual Maximum Likelihood Estimation for Training Deep Networks


Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts


Counterfactual Multi-player Bandits for Explainable Recommendation Diversification


Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models


Counterfactual Plans under Distributional Ambiguity


Counterfactual Prediction Under Outcome Measurement Error


Counterfactual Prediction Under Selective Confounding


Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias


Counterfactual Query Rewriting to Use Historical Relevance Feedback


Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting


Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training


Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis


Counterfactual Reasoning with Knowledge Graph Embeddings


Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario


Counterfactual Risk Assessments, Evaluation, and Fairness


Counterfactual Slopes and Their Applications in Social Stratification


Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning


Counterfactual Story Reasoning and Generation


Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization


Counterfactual Token Generation in Large Language Models


Counterfactual VQA: A Cause-Effect Look at Language Bias


Counterfactual Variable Control for Robust and Interpretable Question Answering


Counterfactual Zero-Shot and Open-Set Visual Recognition


Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis


Counterfactual experience augmented off-policy reinforcement learning


Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation


Counterfactually Comparing Abstaining Classifiers


Counterfactually Fair Prediction Using Multiple Causal Models


Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models


Counterfactually Probing Language Identity in Multilingual Models


Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data


Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models


Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors


Countering Adaptive Network Covert Communication with Dynamic Wardens


Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage


Countering Malicious DeepFakes: Survey, Battleground, and Horizon


Countering Misinformation via Emotional Response Generation


Countering Online Hate Speech: An NLP Perspective


Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement Learning


Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation


Counterpoint: Orchestrating Large-Scale Custom Animated Visualizations


Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation


Counting 5-isogenies of elliptic curves over $\mathbb{Q}$


Counting Ability of Large Language Models and Impact of Tokenization


Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning


Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery


Counting Everyday Objects in Everyday Scenes


Counting Graphlets of Size $k$ under Local Differential Privacy


Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel