Clonability of anti-counterfeiting printable graphical codes: a machine learning approach


Clonal Dominance and Transplantation Dynamics in Hematopoietic Stem Cell Compartments


Clone and graft: Testing scientific applications as they are built


Clones in Deep Learning Code: What, Where, and Why?


Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification


Close spatial arrangement of mutants favors and disfavors fixation


Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation


Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition


Closed Form Expressions for Certain Improper Integrals of Mathematical Physics


Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning


Closed Ranks: The Discursive Value of Military Support for Indian Politicians on Social Media


Closed and asymptotic formulae for harmonic and quadratic harmonic sums


Closed loop BCI System for Cybathlon 2020


Closed string theory without level-matching at the free level


Closed-Form Diffeomorphic Transformations for Time Series Alignment


Closed-Form Feedback-Free Learning with Forward Projection


Closed-Form Global Optimization of Beyond Diagonal Reconfigurable Intelligent Surfaces


Closed-Form Information Capacity of Canonical Signaling Models


Closed-Form Interpretation of Neural Network Classifiers with Symbolic Gradients


Closed-Form Minkowski Sum Approximations for Efficient Optimization-Based Collision Avoidance


Closed-Form Minkowski Sums of Convex Bodies with Smooth Positively Curved Boundaries


Closed-Form Power and Sample Size Calculations for Bayes Factors


Closed-Form Solution of the Unit Normal Loss Integral in Two-Dimensions


Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms


Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy


Closed-Loop Control of Direct Ink Writing via Reinforcement Learning


Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction


Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling


Closed-Loop Model Identification and MPC-based Navigation of Quadcopters: A Case Study of Parrot Bebop 2


Closed-Loop Next-Best-View Planning for Target-Driven Grasping


Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation


Closed-Loop phase selection in EEG-TMS using Bayesian Optimization


Closed-book Question Generation via Contrastive Learning


Closed-form Continuous-time Neural Models


Closed-form analytic expressions for shadow estimation with brickwork circuits


Closed-form control with spike coding networks


Closed-form solutions for VIX derivatives in a Legendre empirical model


Closed-loop Error Correction Learning Accelerates Experimental Discovery of Thermoelectric Materials


Closed-loop targeted optogenetic stimulation of C. elegans populations


Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption


Closely estimating the entropy of sparse graph models


Closing a Source Complexity Gap between Chapel and HPX


Closing the Curious Case of Neural Text Degeneration


Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow


Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming


Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View


Closing the Gap in Swarm Robotics Simulations: An Extended Ardupilot/Gazebo plugin


Closing the Gap to Quadratic Invariance: a Regret Minimization Approach to Optimal Distributed Control


Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks


Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain


Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation


Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems


Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions


Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media


Closing the Neutrino "BSM Gap": Physics Potential of Atmospheric Through-Going Muons at DUNE


Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs


Closing the detection loophole in the triangle network with high-dimensional photonic states


Closing the gap between SVRG and TD-SVRG with Gradient Splitting


Closure Properties of General Grammars -- Formally Verified


Cloth Animation with Time-dependent Persistent Wrinkles


Cloth Interactive Transformer for Virtual Try-On


Cloth Region Segmentation for Robust Grasp Selection


Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization


ClothFormer:Taming Video Virtual Try-on in All Module


Clothes-Changing Person Re-identification with RGB Modality Only


Cloud Broker: A Systematic Mapping Study


Cloud Failure Prediction with Hierarchical Temporal Memory: An Empirical Assessment


Cloud Identification from All-sky Camera Data with Machine Learning


Cloud Property Graph: Connecting Cloud Security Assessments with Static Code Analysis


Cloud Radiative Effect Study Using Sky Camera


Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network


Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources


Cloud Uptime Archive: Open-Access Availability Data of Web, Cloud, and Gaming Services


Cloud gap-filling with deep learning for improved grassland monitoring


Cloud properties across spatial scales in simulations of the interstellar medium


Cloud-Aware SAR Fusion for Enhanced Optical Sensing in Space Missions


Cloud-Based Deep Learning: End-To-End Full-Stack Handwritten Digit Recognition


Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance


Cloud2BIM: An open-source automatic pipeline for efficient conversion of large-scale point clouds into IFC format


CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds


CloudCast -- Total Cloud Cover Nowcasting with Machine Learning


CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds


CloudEval-YAML: A Practical Benchmark for Cloud Configuration Generation


CloudFlex: A Flexible Parametric Model for the Small-Scale Structure of the Circumgalactic Medium


CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems


CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications


CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation


CloudSim 7G: An Integrated Toolkit for Modeling and Simulation of Future Generation Cloud Computing Environments


CloudSim Express: A Novel Framework for Rapid Low Code Simulation of Cloud Computing Environments


CloudSimSC: A Toolkit for Modeling and Simulation of Serverless Computing Environments


CloudWalker: Random walks for 3D point cloud shape analysis


Cloudy Forecast: How Predictable is Communication Latency in the Cloud?


Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User Anomalies


Cloudy-Maraston: Integrating nebular continuum and line emission with the Maraston stellar population synthesis models


ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers


Clover: Towards A Unified Video-Language Alignment and Fusion Model


ClsGAN: Selective Attribute Editing Model Based On Classification Adversarial Network


CluCDD:Contrastive Dialogue Disentanglement via Clustering


Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data


Clues Before Answers: Generation-Enhanced Multiple-Choice QA


ClusT3: Information Invariant Test-Time Training


Clust-Splitter $-$ an Efficient Nonsmooth Optimization-Based Algorithm for Clustering Large Datasets


ClustEm4Ano: Clustering Text Embeddings of Nominal Textual Attributes for Microdata Anonymization


ClustML: A Measure of Cluster Pattern Complexity in Scatterplots Learnt from Human-labeled Groupings


Cluster & Tune: Boost Cold Start Performance in Text Classification


Cluster Algebras: Network Science and Machine Learning


Cluster Alignment with a Teacher for Unsupervised Domain Adaptation


Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors


Cluster Exploration using Informative Manifold Projections


Cluster Synchronization of Networks via a Canonical Transformation for Simultaneous Block Diagonalization of Matrices


Cluster analysis of the Roma-BZCAT blazars


Cluster and Aggregate: Face Recognition with Large Probe Set


Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving


Cluster and statistical analysis of spatial earthquake patterns in the South Caucasus region


Cluster decomposition of full configuration interaction wave functions: a tool for chemical interpretation of systems with strong correlation


Cluster expansion by transfer learning for phase stability predictions


Cluster-Based Autoencoders for Volumetric Point Clouds


Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language Models


Cluster-Guided Label Generation in Extreme Multi-Label Classification


Cluster-Specific Predictions with Multi-Task Gaussian Processes


Cluster-Wide Task Slowdown Detection in Cloud System


Cluster-based Graph Collaborative Filtering


Cluster-based Video Summarization with Temporal Context Awareness


Cluster-based multidimensional scaling embedding tool for data visualization


Cluster-based pruning techniques for audio data


Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification


Cluster-guided Contrastive Graph Clustering Network


Cluster-lensed supernova yields from the Vera C. Rubin Observatory and Nancy Grace Roman Space Telescope


Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition


Cluster-norm for Unsupervised Probing of Knowledge


Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification


Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention


ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities


ClusterFit: Improving Generalization of Visual Representations


ClusterGraph: a new tool for visualization and compression of multidimensional data


ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression


ClusterLLM: Large Language Models as a Guide for Text Clustering


ClusterLOB: Enhancing Trading Strategies by Clustering Orders in Limit Order Books


ClusterRadar: an Interactive Web-Tool for the Multi-Method Exploration of Spatial Clusters Over Time


ClusterSlice: A Zero-touch Deployment Platform for the Edge Cloud Continuum


ClusterTabNet: Supervised clustering method for table detection and table structure recognition


ClusterTalk: Corpus Exploration Framework using Multi-Dimensional Exploratory Search


Clusterability test for categorical data


Clustered Factor Analysis for Multivariate Spatial Data


Clustered Federated Learning based on Nonconvex Pairwise Fusion


Clustered Federated Learning via Embedding Distributions


Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological Data


Clustered Orienteering Problem with Subgroups


Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift


Clustered-patch Element Connection for Few-shot Learning


Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion


Clustering Approaches for Global Minimum Variance Portfolio


Clustering Areal Units at Multiple Levels of Resolution to Model Crime in Philadelphia


Clustering Aware Classification for Risk Prediction and Subtyping in Clinical Data


Clustering Based Feature Learning on Variable Stars


Clustering Categorical Data: Soft Rounding k-modes


Clustering Change Sign Detection by Fusing Mixture Complexity


Clustering Cluster Algebras with Clusters


Clustering Computer Mouse Tracking Data with Informed Hierarchical Shrinkage Partition Priors


Clustering Document Parts: Detecting and Characterizing Influence Campaigns from Documents


Clustering Effect of (Linearized) Adversarial Robust Models


Clustering Ensemble Meets Low-rank Tensor Approximation


Clustering High-dimensional Data via Feature Selection


Clustering Indices based Automatic Classification Model Selection


Clustering Internet Memes Through Template Matching and Multi-Dimensional Similarity


Clustering Introductory Computer Science Exercises Using Topic Modeling Methods


Clustering Large Data Sets with Incremental Estimation of Low-density Separating Hyperplanes


Clustering Longitudinal Life-Course Sequences Using Mixtures of Exponential-Distance Models


Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation


Clustering Plotted Data by Image Segmentation


Clustering Propagation for Universal Medical Image Segmentation


Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix


Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa


Clustering Rooftop PV Systems via Probabilistic Embeddings


Clustering Sets of Functional Data by Similarity in Law


Clustering Survival Data using a Mixture of Non-parametric Experts


Clustering Vietnamese Conversations From Facebook Page To Build Training Dataset For Chatbot


Clustering Without Knowing How To: Application and Evaluation


Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data Set


Clustering acoustic emission data streams with sequentially appearing clusters using mixture models


Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences


Clustering and Pruning in Causal Data Fusion


Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation


Clustering and Structural Robustness in Causal Diagrams


Clustering and Variable Selection in the Presence of Mixed Variable Types and Missing Data


Clustering based Point Cloud Representation Learning for 3D Analysis


Clustering by Mining Density Distributions and Splitting Manifold Structure


Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization


Clustering by the Probability Distributions from Extreme Value Theory


Clustering coefficients for correlation networks


Clustering coefficients for networks with higher order interactions


Clustering for Protein Representation Learning


Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes


Clustering in graphs and hypergraphs with categorical edge labels


Clustering in pure-attention hardmax transformers and its role in sentiment analysis


Clustering large 3D volumes: A sampling-based approach


Clustering multivariate functional data using the epigraph and hypograph indices: a case study on Madrid air quality


Clustering multivariate functional data using unsupervised binary trees


Clustering of $\bar B\to D^{(*)}τ^-\barν_τ$ kinematic distributions with ClusterKinG


Clustering of Bank Customers using LSTM-based encoder-decoder and Dynamic Time Warping


Clustering of Big Data with Mixed Features


Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features


Clustering of Social Media Messages for Humanitarian Aid Response during Crisis


Clustering of countries based on the associated social contact patterns in epidemiological modelling


Clustering of longitudinal data: A tutorial on a variety of approaches


Clustering of temporal nodes profiles in dynamic networks of contacts


Clustering sequence data with mixture Markov chains with covariates using multiple simplex constrained optimization routine (MSiCOR)


Clustering the Nearest Neighbor Gaussian Process


Clustering to Reduce Spatial Data Set Size


Clustering units in neural networks: upstream vs downstream information


Clustering with Confidence: Finding Clusters with Statistical Guarantees


Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees


Clustering with UMAP: Why and How Connectivity Matters


Clustering-Aware Negative Sampling for Unsupervised Sentence Representation


Clustering-Based Interpretation of Deep ReLU Network


Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images


Clustering-Oriented Representation Learning with Attractive-Repulsive Loss


Clustering-based Image-Text Graph Matching for Domain Generalization


Clustering-driven Deep Embedding with Pairwise Constraints


Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation


Clustering-informed Cinematic Astrophysical Data Visualization with Application to the Moon-forming Terrestrial Synestia


Clusterization in D-optimal designs: the case against linearization


Clusternets: A deep learning approach to probe clustering dark energy


Clusters in an epidemic model with long-range dispersal


Clusters of African countries based on the social contacts and associated socioeconomic indicators relevant to the spread of the epidemic


Clutter Slices Approach for Identification-on-the-fly of Indoor Spaces


CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research


CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network


CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users


Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning


Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning


Co-Attentive Cross-Modal Deep Learning for Medical Evidence Synthesis and Decision Making


Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction


Co-Design Optimisation of Morphing Topology and Control of Winged Drones


Co-Designed Architectures for Modular Superconducting Quantum Computers


Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledge


Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video


Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning


Co-Fix3D: Enhancing 3D Object Detection with Collaborative Refinement


Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects


Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification


Co-Generation with GANs using AIS based HMC


Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer


Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition


Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces


Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving


Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity


Co-Optimization of Robot Design and Control: Enhancing Performance and Understanding Design Complexity


Co-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry


Co-Reinforcement Learning for Unified Multimodal Understanding and Generation


Co-Salient Object Detection with Co-Representation Purification


Co-Scale Cross-Attentional Transformer for Rearrangement Target Detection


Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial Images


Co-Speech Gesture Detection through Multi-Phase Sequence Labeling


Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model


Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models


Co-Transport for Class-Incremental Learning


Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals


Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning


Co-attention Propagation Network for Zero-Shot Video Object Segmentation


Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning


Co-clustering for Federated Recommender System


Co-data Learning for Bayesian Additive Regression Trees


Co-designing Intelligent Control of Building HVACs and Microgrids


Co-designing for a Hybrid Workplace Experience in Software Development


Co-evolution of language and agents in referential games


Co-evolution-based Metal-binding Residue Prediction with Graph Neural Networks


Co-evolutionary Probabilistic Structured Grammatical Evolution


Co-evolutionary multi-task learning for dynamic time series prediction


Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs


Co-learning: Learning from Noisy Labels with Self-supervision


Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning


Co-occurrence is not Factual Association in Language Models


Co-occurrence of deep convolutional features for image search


Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu


Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment


Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries


Co-persona: Leveraging LLMs and Expert Collaboration to Understand User Personas through Social Media Data Analysis


Co-sleep: Designing a workplace-based wellness program for sleep deprivation


Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification


Co-training Improves Prompt-based Learning for Large Language Models


Co-training an Unsupervised Constituency Parser with Weak Supervision


Co-training for Low Resource Scientific Natural Language Inference


Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation


CoA: Chain-of-Action for Generative Semantic Labels


CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation


CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection


CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation


CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning


CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity


CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers


CoBOS: Constraint-Based Online Scheduler for Human-Robot Collaboration


CoBRA: Quantifying Strategic Language Use and LLM Pragmatics


CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation


CoBaIR: A Python Library for Context-Based Intention Recognition in Human-Robot-Interaction


CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence


CoBo: Collaborative Learning via Bilevel Optimization


CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending


CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning


CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers


CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality


CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization


CoCoFormer: A controllable feature-rich polyphonic music generation method


CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation


CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations


CoCoHD: Congress Committee Hearing Dataset


CoCoLM: COmplex COmmonsense Enhanced Language Model with Discourse Relations


CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context


CoCoNUT: Structural Code Understanding does not fall out of a tree


CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams


CoCon: A Data Set on Combined Contextualized Research Artifact Use


CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation


CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis


CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment


CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning


CoDA: Interactive Segmentation and Morphological Analysis of Dendroid Structures Exemplified on Stony Cold-Water Corals


CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation


CoDEx: A Comprehensive Knowledge Graph Completion Benchmark


CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP


CoDe: Blockwise Control for Denoising Diffusion Models


CoDeC: Communication-Efficient Decentralized Continual Learning


CoDeF: Content Deformation Fields for Temporally Consistent Video Processing


CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network


CoDefeater: Using LLMs To Find Defeaters in Assurance Cases


CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection


CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis


CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation


CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification


CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection


CoDocBench: A Dataset for Code-Documentation Alignment in Software Maintenance


CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems


CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus


CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions


CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification


CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences


CoEdIT: Text Editing by Task-Specific Instruction Tuning


CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models


CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation


CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks


CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Models


CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity


CoFHEE: A Co-processor for Fully Homomorphic Encryption Execution (Extended Version)


CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment


CoGS: Controllable Generation and Search from Sketch and Style


CoGen: Learning from Feedback with Coupled Comprehension and Generation


CoGenAV: Versatile Audio-Visual Representation Learning via Contrastive-Generative Synchronization


CoHS-CQG: Context and History Selection for Conversational Question Generation


CoIL: Coordinate-based Internal Learning for Imaging Inverse Problems


CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model


CoIR: A Comprehensive Benchmark for Code Information Retrieval Models


CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM APIs


CoInD: Enabling Logical Compositions in Diffusion Models


CoInfra: A Large-Scale Cooperative Infrastructure Perception System and Dataset in Adverse Weather


CoKV: Optimizing KV Cache Allocation via Cooperative Game


CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation


CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection


CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra


CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning


CoLAKE: Contextualized Language and Knowledge Embedding


CoLFI: Cosmological Likelihood-free Inference with Neural Density Estimators


CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings


CoLLM: A Large Language Model for Composed Image Retrieval


CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation


CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control


CoLLaVO: Crayon Large Language and Vision mOdel


CoLLiE: Collaborative Training of Large Language Models in an Efficient Way


CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving


CoLMbo: Speaker Language Model for Descriptive Profiling


CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms


CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis


CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance


CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning


CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing


CoLight: Learning Network-level Cooperation for Traffic Signal Control


CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos


CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training


CoLoRe: fast cosmological realisations over large volumes with multiple tracers


CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets


CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic


CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning


CoME: An Unlearning-based Approach to Conflict-free Model Editing


CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition


CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization


CoMFLP: Correlation Measure based Fast Search on ASR Layer Pruning


CoMIR: Contrastive Multimodal Image Representation for Registration


CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making


CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving


CoMP: Continual Multimodal Pre-training for Vision Foundation Models


CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models


CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations


CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models


CoMadOut -- A Robust Outlier Detection Algorithm based on CoMAD


CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching


CoMatch: Semi-supervised Learning with Contrastive Graph Regularization


CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5D, and 3D Processor-Memory Systems


CoMeT: Count-Min-Sketch-based Row Tracking to Mitigate RowHammer at Low Cost


CoMet: Metaphor-Driven Covert Communication for Multi-Agent Language Games


CoMoFusion: Fast and High-quality Fusion of Infrared and Visible Image with Consistency Model


CoMoGaussian: Continuous Motion-Aware Gaussian Splatting from Motion-Blurred Images


CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis


CoMotion: Concurrent Multi-person 3D Motion


CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations


CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion


CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting


CoNMix for Source-free Single and Multi-target Domain Adaptation


CoNav: A Benchmark for Human-Centered Collaborative Navigation


CoNav: Collaborative Cross-Modal Reasoning for Embodied Navigation


CoNe: Contrast Your Neighbours for Supervised Image Classification


CoNeRF: Controllable Neural Radiance Fields


CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation


CoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding


CoNet: Collaborative Cross Networks for Cross-Domain Recommendation


CoNi-MPC: Cooperative Non-inertial Frame Based Model Predictive Control


CoOMBE: A suite of open-source programs for the integration of the optical Bloch equations and Maxwell-Bloch equations


CoP: Factual Inconsistency Detection by Controlling the Preference


CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning


CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection


CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification


CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction


CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing


CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments


CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems


CoPrUS: Consistency Preserving Utterance Synthesis towards more realistic benchmark dialogues


CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning


CoQuest: Exploring Research Question Co-Creation with an LLM-based Agent


CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization


CoRL: Environment Creation and Management Focused on System Integration


CoRLD: Contrastive Representation Learning Of Deformable Shapes In Images


CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking


CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding


CoRT: Code-integrated Reasoning within Thinking


CoRT: Complementary Rankings from Transformers


CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs


CoRTX: Contrastive Framework for Real-time Explanation


CoRe Optimizer: An All-in-One Solution for Machine Learning


CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs


CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis


CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution


CoReNet: Coherent 3D scene reconstruction from a single RGB image


CoReS: Compatible Representations via Stationarity


CoReS: Orchestrating the Dance of Reasoning and Segmentation


CoRe^2: Collect, Reflect and Refine to Generate Better and Faster


CoRec: An Easy Approach for Coordination Recognition


CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring


CoS: Enhancing Personalization and Mitigating Bias with Context Steering


CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One


CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP


CoSDH: Communication-Efficient Collaborative Perception via Supply-Demand Awareness and Intermediate-Late Hybridization


CoSER: Coordinating LLM-Based Persona Simulation of Established Roles


CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems


CoSIL: Software Issue Localization via LLM-Driven Code Repository Graph Searching


CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination


CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control


CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval


CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven Agents


CoSQA: 20,000+ Web Queries for Code Search and Question Answering


CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning


CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting


CoSTA$\ast$: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing


CoSTI: Consistency Models for (a faster) Spatio-Temporal Imputation


CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference


CoSeR: Bridging Image and Language for Cognitive Super-Resolution


CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models


CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation


CoShNet: A Hybrid Complex Valued Neural Network using Shearlets


CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models


CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition


CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network


CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought


CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context Demonstrations


CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought Reasoning


CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought


CoT-Valve: Length-Compressible Chain-of-Thought Tuning


CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis


CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding


CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification


CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation


CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement Learning


CoTexT: Multi-task Learning with Code-Text Transformer


CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation


CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution


CoUDA: Coherence Evaluation via Unified Data Augmentation


CoV-Spectrum: Analysis of globally shared SARS-CoV-2 data to Identify and Characterize New Variants


CoVA: Context-aware Visual Attention for Webpage Information Extraction


CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems


CoVE: Towards Confidential Computing on RISC-V Platforms


CoVLM: Leveraging Consensus from Vision-Language Models for Semi-supervised Multi-modal Fake News Detection


CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design


CoVR-2: Automatic Data Construction for Composed Video Retrieval


CoViT: Real-time phylogenetics for the SARS-CoV-2 pandemic using Vision Transformers


CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations


CoVoSwitch: Machine Translation of Synthetic Code-Switched Text Based on Intonation Units


CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation


CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems


CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning


Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition


Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents


CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning


CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation


Coalesced Multi-Output Tsetlin Machines with Clause Sharing


Coalescing Global and Local Information for Procedural Text Understanding


Coalition Control Model: A Dynamic Resource Distribution Method Based on Model Predicative Control


Coalitional strategies for efficient individual prediction explanation


Coarse Graining Molecular Dynamics with Graph Neural Networks


Coarse Graining of Data via Inhomogeneous Diffusion Condensation


Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings


Coarse or Fine? Recognising Action End States without Labels


Coarse race data conceals disparities in clinical risk score performance


Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware


Coarse to Fine Multi-Resolution Temporal Convolutional Network


Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion


Coarse- and Fine-grained Attention Network with Background-aware Loss for Crowd Density Map Estimation


Coarse-Fine Networks for Temporal Activity Detection in Videos


Coarse-Grained Configurational Polymer Fingerprints for Property Prediction using Machine Learning


Coarse-Grained Nucleic Acid-Protein Model for Hybrid Nanotechnology


Coarse-To-Fine Incremental Few-Shot Learning


Coarse-To-Fine Tensor Trains for Compact Visual Representations


Coarse-grained Stochastic Model of Myosin-Driven Vesicles into Dendritic Spines


Coarse-grained spectral projection (CGSP): a deep learning-assisted approach to quantum unitary dynamics


Coarse-graining and designing liquids by combining machine learning with liquid state theory


Coarse-to-Fine Amodal Segmentation with Shape Prior


Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment


Coarse-to-Fine Dual Encoders are Better Frame Identification Learners


Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution


Coarse-to-Fine Entity Representations for Document-level Relation Extraction


Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance


Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis


Coarse-to-Fine Lifted MAP Inference in Computer Vision


Coarse-to-Fine Lightweight Meta-Embedding for ID-Based Recommendation


Coarse-to-Fine Memory Matching for Joint Retrieval and Classification


Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters


Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations


Coarse-to-Fine Pre-training for Named Entity Recognition


Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization


Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone


Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval


Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D


Coarse-to-fine Animal Pose and Shape Estimation


Coarse-to-fine Hybrid 3D Mapping System with Co-calibrated Omnidirectional Camera and Non-repetitive LiDAR


CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation


Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets


CobBO: Coordinate Backoff Bayesian Optimization with Two-Stage Kernels


Cobiveco: Consistent biventricular coordinates for precise and intuitive description of position in the heart -- with MATLAB implementation


Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning


CochlScene: Acquisition of acoustic scene data using crowdsourcing


Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration


CocoNet: A deep neural network for mapping pixel coordinates to color values


Coconut Libtool: Bridging Textual Analysis Gaps for Non-Programmers


Cocoon: Static Information Flow Control in Rust


CodaMal: Contrastive Domain Adaptation for Malaria Detection in Low-Cost Microscopes


Code Comment Inconsistency Detection with BERT and Longformer


Code Critters: A Block-Based Testing Game


Code Difference Guided Adversarial Example Generation for Deep Code Models


Code Execution as Grounded Supervision for LLM Reasoning


Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU


Code Generation for Machine Learning using Model-Driven Engineering and SysML


Code Ownership in Open-Source AI Software Security


Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs


Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian


Code Recommendation for Open Source Software Developers


Code Red: The Business Impact of Code Quality -- A Quantitative Study of 39 Proprietary Production Codebases


Code Review Automation: Strengths and Weaknesses of the State of the Art


Code Search based on Context-aware Code Translation


Code Shaping: Iterative Code Editing with Free-form AI-Interpreted Sketching


Code Simulation Challenges for Large Language Models


Code Smells for Machine Learning Applications


Code Smells in Elixir: Early Results from a Grey Literature Review


Code Soliloquies for Accurate Calculations in Large Language Models


Code Summarization with Structure-induced Transformer


Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding


Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces


Code and Named Entity Recognition in StackOverflow


Code smells detection and visualization: A systematic literature review


Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs


Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks


Code-Mixed Probes Show How Pre-Trained Models Generalise On Code-Switched Text


Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots


Code-Style In-Context Learning for Knowledge-Based Question Answering


Code-Switched Language Identification is Harder Than You Think


Code-Switched Urdu ASR for Noisy Telephonic Environment using Data Centric Approach with Hybrid HMM and CNN-TDNN


Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding


Code-Switching for Enhancing NMT with Pre-Specified Translation


Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation Capabilities


Code-free development and deployment of deep segmentation models for digital pathology


Code-mixed Sentiment and Hate-speech Prediction


Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Application to Vulnerability Prediction


Code4Struct: Code Generation for Few-Shot Event Structure Prediction


CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development


CodeAgent: Autonomous Communicative Agents for Code Review


CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models


CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking


CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models


CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain


CodeCSE: A Simple Multilingual Model for Code and Comment Sentence Embeddings


CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules


CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models


CodeEditor: Learning to Edit Source Code with Pre-trained Models


CodeExp: Explanatory Code Document Generation


CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences


CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation


CodeFuse-Query: A Data-Centric Static Code Analysis System for Large-Scale Organizations


CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling


CodeGen2: Lessons for Training LLMs on Programming and Natural Languages


CodeGraph: Enhancing Graph Reasoning of LLMs with Code


CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes


CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction


CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors


CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation


CodeInsight: A Curated Dataset of Practical Coding Solutions from Stack Overflow


CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay


CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?


CodeJudge: Evaluating Code Generation with Large Language Models


CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code


CodeMind: Evaluating Large Language Models for Code Reasoning


CodeMorph: Mitigating Data Leakage in Large Language Model Assessment


CodeNeRF: Disentangled Neural Radiance Fields for Object Categories


CodePAD: Sequence-based Code Generation with Pushdown Automaton


CodePDE: An Inference Framework for LLM-driven PDE Solver Generation


CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology


CodeQueries: A Dataset of Semantic Queries over Code


CodeRAG-Bench: Can Retrieval Augment Code Generation?


CodeReef: an open platform for portable MLOps, reusable automation actions and reproducible benchmarking


CodeS: Natural Language to Code Repository via Multi-Layer Sketch


CodeS: Towards Building Open-source Language Models for Text-to-SQL


CodeSCM: Causal Analysis for Multi-Modal Code Generation


CodeScholar: Growing Idiomatic Code Examples


CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation


CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums


CodeTF: One-stop Transformer Library for State-of-the-art Code LLM


CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior


CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts


CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing


CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation


CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences


CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation


Codebook Features: Sparse and Discrete Interpretability for Neural Networks


Codec Compression Efficiency Evaluation of MPEG-5 part 2 (LCEVC) using Objective and Subjective Quality Assessment


Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model


Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework


Codec-Based Deepfake Source Tracing via Neural Audio Codec Taxonomy


Codec-SUPERB: An In-Depth Analysis of Sound Codec Models


Coded Illumination for Improved Lensless Imaging


Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN


Coded sparse matrix computation schemes that leverage partial stragglers


CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing


Codepod: A Namespace-Aware, Hierarchical Jupyter for Interactive Development at Scale


Coder Reviewer Reranking for Code Generation


CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios


Codesign of Edge Intelligence and Automated Guided Vehicle Control


Codeswitched Sentence Creation using Dependency Parsing


Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?


Codified audio language modeling learns useful representations for music information retrieval


Codifying Character Logic in Role-Playing


Coding Speech through Vocal Tract Kinematics


Coding historical causes of death data with Large Language Models


CodingGenie: A Proactive LLM-Powered Programming Assistant


CodingHomo: Bootstrapping Deep Homography With Video Coding


CoditT5: Pretraining for Source Code and Natural Language Editing


CodonMPNN for Organism Specific and Codon Optimal Inverse Folding


Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models


Coefficient Decomposition for Spectral Graph Convolution


Coercing LLMs to do and reveal (almost) anything


Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization


Coevolving Artistic Images Using OMNIREP


Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning


Coexchangeable process modelling for uncertainty quantification in joint climate reconstruction


Coexistence of shocks and rarefaction fans: complex phase diagram of a simple hyperbolic particle system


CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction


Coffea -- Columnar Object Framework For Effective Analysis


Coffea-casa: an analysis facility prototype


CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models


Cofibration category of digraphs for path homology


CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals


CogBench: a large language model walks into a psychology lab


CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations


CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models


CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective


CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph


CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation


CogView: Mastering Text-to-Image Generation via Transformers


Cogito, ergo sum: A Neurobiologically-Inspired Cognition-Memory-Growth System for Code Generation


CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework


Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction


CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models


CogniVal: A Framework for Cognitive Word Embedding Evaluation


CogniVoice: Multimodal and Multilingual Fusion Networks for Mild Cognitive Impairment Assessment from Spontaneous Speech


Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning


Cognition Transferring and Decoupling for Text-supervised Egocentric Semantic Segmentation


Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing


Cognition-inspired homeostasis can balance conflicting needs in robots


Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark


Cognitive Architectures for Language Agents


Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs


Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems


Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?


Cognitive Effects in Large Language Models


Cognitive Insights Across Languages: Enhancing Multimodal Interview Analysis


Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots


Cognitive Knowledge Graph Reasoning for One-shot Relational Learning


Cognitive Mirage: A Review of Hallucinations in Large Language Models


Cognitive Overload Attack:Prompt Injection for Long Context


Cognitive Simplification Operations Improve Text Simplification


Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction


Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory


Cognitive Weave: Synthesizing Abstracted Knowledge with a Spatio-Temporal Resonance Graph


Cognitive cascades: How to model (and potentially counter) the spread of fake news


Cognitive modeling and learning with sparse binary hypervectors


Cognitive resilience: Unraveling the proficiency of image-captioning models to interpret masked visual content


Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text


Cognitively-Inspired Model for Incremental Learning Using a Few Examples


CohEx: A Generalized Framework for Cohort Explanation


Cohere: Managing Differential Privacy in Large Scale Systems


Coherence Awareness in Diffractive Neural Networks


Coherence and realism in the Aharonov-Bohm effect


Coherence resonance and stochastic synchronization in a small-world neural network: An interplay in the presence of spike-timing-dependent plasticity


Coherence resonance in influencer networks


Coherence-Based Distributed Document Representation Learning for Scientific Documents


Coherence-guided Preference Disentanglement for Cross-domain Recommendations


Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis


Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data


Coherent Hierarchical Multi-Label Classification Networks


Coherent Local Explanations for Mathematical Optimization


Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts


Coherent Search for Binary Pulsars across all Five Keplerian Parameters in Radio Observations using the template-bank algorithm


Coherent and Multi-modality Image Inpainting via Latent Space Optimization


Coherent errors and readout errors in the surface code


Coherent spectral hole burning and qubit isolation by stimulated Raman adiabatic passage


CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians


Cohesion and Repulsion in Bayesian Distance Clustering


Cohomology and the Brauer groups of diagonal surfaces


Cohomology of moduli spaces of Del Pezzo surfaces


Cohort comfort models -- Using occupants' similarity to predict personal thermal preference with less data


Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis


CoinMath: Harnessing the Power of Coding Instruction for Math LLMs


CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation


CoinTossX: An open-source low-latency high-throughput matching engine


Coincidental Correctness in the Defects4J Benchmark


Coinductive Proofs for Temporal Hyperliveness


CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models


Col-OSSOS: The Two Types of Kuiper Belt Surfaces


ColA: Collaborative Adaptation with Gradient Learning


ColAG: A Collaborative Air-Ground Framework for Perception-Limited UGVs' Navigation


ColBERT Retrieval and Ensemble Response Scoring for Language Model Question Answering


ColFigPhotoAttnNet: Reliable Finger Photo Presentation Attack Detection Leveraging Window-Attention on Color Spaces


ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field


ColabSfM: Collaborative Structure-from-Motion by Point Cloud Registration


Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods


Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders


Cold atomic gas identified by HI self-absorption. Cold atomic clouds toward giant molecular filaments


Cold, clumpy accretion onto an active supermassive black hole


Cold-Start Aware User and Product Attention for Sentiment Classification


Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach


Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap


Cold-start Active Learning through Self-supervised Language Modeling


Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating


Cold-start recommendations in Collective Matrix Factorization


ColdNAS: Search to Modulate for User Cold-Start Recommendation


ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence


ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites


Collab-Overcooked: Benchmarking and Evaluating Large Language Models as Collaborative Agents


Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration


CollabEdit: Towards Non-destructive Collaborative Knowledge Editing


CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Construction


CollabStory: Multi-LLM Collaborative Story Generation and Authorship Analysis


CollaboNet: collaboration of deep neural networks for biomedical named entity recognition


Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation


Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition


Collaborating Foundation Models for Domain Generalized Semantic Segmentation


Collaborating in a competitive world: Heterogeneous Multi-Agent Decision Making in Symbiotic Supply Chain Environments


Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance


Collaboration Equilibrium in Federated Learning


Collaboration Helps Camera Overtake LiDAR in 3D Detection


Collaboration Planning of Stakeholders for Sustainable City Logistics Operations


Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator


Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation


Collaboration and topic switches in science


Collaboration between parallel connected neural networks -- A possible criterion for distinguishing artificial neural networks from natural organs


Collaboration or Corporate Capture? Quantifying NLP's Reliance on Industry Artifacts and Contributions


Collaboration! Towards Robust Neural Methods for Routing Problems


Collaboration-Aware Graph Convolutional Network for Recommender Systems


Collaborations on YouTube: From Unsupervised Detection to the Impact on Video and Channel Popularity


Collaborative Algorithms for Online Personalized Mean Estimation


Collaborative Auto-encoding for Blind Image Quality Assessment


Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark


Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling


Collaborative Comic Generation: Integrating Visual Narrative Theories with AI Models for Enhanced Creativity


Collaborative Decision Making Using Action Suggestions


Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient


Collaborative Deep Reinforcement Learning


Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization


Collaborative Distillation for Ultra-Resolution Universal Style Transfer


Collaborative Dynamic 3D Scene Graphs for Automated Driving


Collaborative Evolutionary Reinforcement Learning


Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization


Collaborative Fairness in Federated Learning


Collaborative Feedback Discriminative Propagation for Video Super-Resolution


Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity


Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information


Collaborative Filtering with Label Consistent Restricted Boltzmann Machine


Collaborative Filtering with Recurrent Neural Networks


Collaborative Filtering with User-Item Co-Autoregressive Models


Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation


Collaborative Graph Exploration with Reduced Pose-SLAM Uncertainty via Submodular Optimization


Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare


Collaborative Graph Neural Networks for Attributed Network Embedding


Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification


Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration


Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning


Collaborative Insurance Sustainability and Network Structure


Collaborative Large Language Model for Recommender Systems


Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data


Collaborative Learning for Extremely Low Bit Asymmetric Hashing


Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline


Collaborative Learning with a Drone Orchestrator


Collaborative Low-Rank Subspace Clustering


Collaborative Manipulation of Deformable Objects with Predictive Obstacle Avoidance


Collaborative Motion Prediction via Neural Motion Message Passing


Collaborative Nested Sampling: Big Data vs. complex physical models


Collaborative Noisy Label Cleaner: Learning Scene-aware Trailers for Multi-modal Highlight Detection in Movies


Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems


Collaborative Perception Datasets for Autonomous Driving: A Review


Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges


Collaborative Performance Prediction for Large Language Models


Collaborative Problem-Solving in an Optimization Game


Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems


Collaborative Regression of Expressive Bodies using Moderation


Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems


Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization


Collaborative Song Dataset (CoSoD): An annotated dataset of multi-artist collaborations in popular music


Collaborative Spatial Reuse in Wireless Networks via Selfish Multi-Armed Bandits


Collaborative Stance Detection via Small-Large Language Model Consistency Verification


Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference


Collaborative Three-Tier Architecture Non-contact Respiratory Rate Monitoring using Target Tracking and False Peaks Eliminating Algorithms


Collaborative Tracking Learning for Frame-Rate-Insensitive Multi-Object Tracking


Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection


Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?


Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels


Collaborative Translational Metric Learning


Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis


Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation


Collaborative and AI-aided Exam Question Generation using Wikidata in Education


Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design


Collaborative and parametric insurance on the Ethereum blockchain


Collaboratively adding new knowledge to an LLM


Collabs: A Flexible and Performant CRDT Collaboration Framework


Collage: Decomposable Rapid Prototyping for Information Extraction on Scientific PDFs


Collage: Seamless Integration of Deep Learning Backends with Automatic Placement


Collapse by Conditioning: Training Class-conditional GANs with Limited Data


Collapse of Self-trained Language Models


Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval


Collapsed Inference for Bayesian Deep Learning


Collapsed Language Models Promote Fairness


Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis


Collapsible Linear Blocks for Super-Efficient Super Resolution


Collateral Portfolio Optimization in Crypto-Backed Stablecoins


Collateral facilitation in humans and language models


Collect, Commit, Expand: Efficient CPQR-Based Column Selection for Extremely Wide Matrices


Collect-and-Distribute Transformer for 3D Point Cloud Analysis


Collecting 16K archived web pages from 17 public web archives


Collecting Interactive Multi-modal Datasets for Grounded Language Understanding


Collecting Qualitative Data at Scale with Large Language Models: A Case Study


Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures


Collecting Visually-Grounded Dialogue with A Game Of Sorts


Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation


Collecting the Public Perception of AI and Robot Rights


Collecting, Classifying, Analyzing, and Using Real-World Elections


Collective Attention towards Scientists and Research Topics


Collective Constitutional AI: Aligning a Language Model with Public Input


Collective Critics for Creative Story Generation


Collective Entity Alignment via Adaptive Features


Collective Entity Disambiguation with Structured Gradient Tree Boosting


Collective Human Opinions in Semantic Textual Similarity


Collective Innovation in Groups of Large Language Models


Collective Intelligence for 2D Push Manipulations with Mobile Robots


Collective Invasion: When does domain curvature matter?


Collective Model Intelligence Requires Compatible Specialization


Collective Outlier Detection and Enumeration with Conformalized Closed Testing


Collective Relevance Labeling for Passage Retrieval


Collective Spectral Density Estimation and Clustering for Spatially-Correlated Data


Collective behavior from surprise minimization


Collective chemotaxis through noisy multicellular gradient sensing


Collective control of modular soft robots via embodied Spiking Neural Cellular Automata


Collective dynamics and long-range order in thermal neuristor networks


Collective dynamics of inhomogeneously broadened emitters coupled to an optical cavity with narrow linewidth


Collective effects in flow-driven cell migration


Collective learning from individual experiences and information transfer during group foraging


Collective predator evasion: Putting the criticality hypothesis to the test


Collective response to local perturbations: how to evade threats without losing coherence


Collective targeted migrations: a balancing act involving aggregation, group size and environmental clues: a simulation study


Collective variables between large-scale states in turbulent convection


CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare


Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach


Collider Signatures of Near-Continuum Dark Matter


Collider phenomenology of new neutral scalars in a flavoured multi-Higgs model


Collie: Finding Performance Anomalies in RDMA Subsystems


Collinear datasets augmentation using Procrustes validation sets


Collision Avoidance Metric for 3D Camera Evaluation


Collision Avoidance Robotics Via Meta-Learning (CARML)


Collision Detection Accelerated: An Optimization Perspective


Collision Probability Distribution Estimation via Temporal Difference Learning


Collision Probability Estimation for Optimization-based Vehicular Motion Planning


Collision rates of planetesimals near mean-motion resonances


Collision-Aware Fast Simulation for Soft Robots by Optimization-Based Geometric Computing


Collision-Free Trajectory Optimization in Cluttered Environments Using Sums-of-Squares Programming


Collision-aware In-hand 6D Object Pose Estimation using Multiple Vision-based Tactile Sensors


CollisionIK: A Per-Instant Pose Optimization Method for Generating Robot Motions with Environment Collision Avoidance


Collisional Fragmentation Support in TRACE


Collisional fragmentation and bulk composition tracking in REBOUND


Collisions of false-vacuum bubble walls in a quantum spin chain


Collocation-Based Output-Error Method for Aircraft System Identification


Colloidoscope: Detecting Dense Colloids in 3d with Deep Learning


ColluEagle: Collusive review spammer detection using Markov random fields


Colmap-PCD: An Open-source Tool for Fine Image-to-point cloud Registration


Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing


Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs


ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation


ColonNet: A Hybrid Of DenseNet121 And U-NET Model For Detection And Segmentation Of GI Bleeding


Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study


Color Agnostic Cross-Spectral Disparity Estimation


Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks


Color Classification of Extrasolar Giant Planets: Prospects and Cautions


Color Constancy by Reweighting Image Feature Maps


Color Me Intrigued: Quantifying Usage of Colors in Fiction


Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning


Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification


Color Shift Estimation-and-Correction for Image Enhancement


Color Space Learning for Cross-Color Person Re-Identification


Color Visual Illusions: A Statistics-based Computational Model


Color and Edge-Aware Adversarial Image Perturbations


Color inference from semantic labeling for person search in videos


Color-Guided Flying Pixel Correction in Depth Images


Color-NeuS: Reconstructing Neural Implicit Surfaces with Color


Color-Oriented Redundancy Reduction in Dataset Distillation


Color-Perception-Guided Display Power Reduction for Virtual Reality


Color-Quality Invariance for Robust Medical Image Segmentation


ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness


ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons


ColorDynamic: Generalizable, Scalable, Real-time, End-to-end Local Planner for Unstructured and Dynamic Environments


ColorFoil: Investigating Color Blindness in Large Vision and Language Models


ColorFool: Semantic Adversarial Colorization


ColorGrid: A Multi-Agent Non-Stationary Environment for Goal Inference and Assistance


ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders


ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization


ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba


ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement


ColorShapeLinks: A board game AI competition for educators and students


ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation


Colorectal cancer risk mapping through Bayesian Networks


Colored Jones Polynomials and the Volume Conjecture


Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling


Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning


Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models


Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation


Colorization as a Proxy Task for Visual Understanding


Colors Matter: AI-Driven Exploration of Human Feature Colors


Colour Passing Revisited: Lifted Model Construction with Commutative Factors


Colour and Brush Stroke Pattern Recognition in Abstract Art using Modified Deep Convolutional Generative Adversarial Networks


Column Networks for Collective Classification


Column and row subset selection using nuclear scores: algorithms and theory for Nyström approximation, CUR decomposition, and graph Laplacian reduction


Column generation for multistage stochastic mixed-integer nonlinear programs with discrete state variables


Column-Oriented Datalog Materialization for Large Knowledge Graphs (Extended Technical Report)


Column-Randomized Linear Programs: Performance Guarantees and Applications


ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation


ComCLIP: Training-Free Compositional Image and Text Matching


ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples


ComDensE : Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph Completion


ComFact: A Benchmark for Linking Contextual Commonsense Knowledge


ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation


ComGAN: Toward GANs Exploiting Multiple Samples


ComMU: Dataset for Combinatorial Music Generation


ComOpT: Combination and Optimization for Testing Autonomous Driving Systems


ComPACT: ACT+Planck galaxy cluster catalogue


ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors


ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization


ComPar: Optimized Multi-Compiler for Automatic OpenMP S2S Parallelization


ComPeer: A Generative Conversational Agent for Proactive Peer Support


ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer


ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices


ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery


ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation


ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision


ComStreamClust: a communicative multi-agent approach to text clustering in streaming data


ComSum: Commit Messages Summarization and Meaning Preservation


ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates


ComViewer: An Interactive Visual Tool to Help Viewers Seek Social Support in Online Mental Health Communities


Comb Tensor Networks vs. Matrix Product States: Enhanced Efficiency in High-Dimensional Spaces


Comb, Prune, Distill: Towards Unified Pruning for Vision Model Compression


CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints


Combat AI With AI: Counteract Machine-Generated Fake Restaurant Reviews on Social Media


CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games


Combating Adversarial Attacks with Multi-Agent Debate


Combating Adversarial Misspellings with Robust Word Recognition


Combating Adversaries with Anti-Adversaries


Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval


Combating Bilateral Edge Noise for Robust Link Prediction


Combating Collusion Rings is Hard but Possible


Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks


Combating Exacerbated Heterogeneity for Robust Models in Federated Learning


Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Media


Combating Label Noise in Deep Learning Using Abstention


Combating Mode Collapse in GANs via Manifold Entropy Estimation


Combating Online Misinformation Videos: Characterization, Detection, and Future Directions


Combating Representation Learning Disparity with Geometric Harmonization


Combating noisy labels in object detection datasets


Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word Representations


Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons


Combating the Instability of Mutual Information-based Losses via Regularization


Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach


CombiBench: Benchmarking LLM Capability for Combinatorial Mathematics


CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis


Combination of Single and Multi-frame Image Super-resolution: An Analytical Perspective


Combinational Class Activation Maps for Weakly Supervised Object Localization


Combinatorial Algorithms for Rooted Prize-Collecting Walks and Applications to Orienteering and Minimum-Latency Problems


Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better


Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback


Combinatorial Bandits for Sequential Learning in Colonel Blotto Games


Combinatorial Bandits under Strategic Manipulations


Combinatorial Bayesian Optimization using the Graph Cartesian Product


Combinatorial Causal Bandits without Graph Skeleton


Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing


Combinatorial Convolutional Neural Networks for Words


Combinatorial Methods in Grid based Meshing


Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation


Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows


Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach


Combinatorial Optimization with Physics-Inspired Graph Neural Networks


Combinatorial Reductions for the Stanley Depth of $I$ and $S/I$


Combinatorial Superstatistics for Soft QCD


Combinatorial and Hodge Laplacians: Similarity and Difference


Combinatorial and algebraic perspectives on the marginal independence structure of Bayesian networks


Combinatorial music generation model with song structure graph analysis


Combinatorial optimization of the coefficient of determination


Combinatorial optimization through variational quantum power method


Combinatorics of Essential Sets for Positroids


Combinatorics of Vogan diagrams for almost-Kähler manifolds


Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection


Combine and Conquer: Event Reconstruction with Bayesian Ensemble Neural Networks


CombineHarvesterFlow: Joint Probe Analysis Made Easy with Normalizing Flows


Combined Depth Space based Architecture Search For Person Re-identification


Combined Dynamic Virtual Spatiotemporal Graph Mapping for Traffic Prediction


Combined Invariant Subspace \& Frequency-Domain Subspace Method for Identification of Discrete-Time MIMO Linear Systems


Combined Learning of Linear Parameter-Varying Models and Robust Control Invariant Sets


Combined P-value Functions for Compatible Effect Estimation and Hypothesis Testing in Drug Regulation


Combined Physics and Event Camera Simulator for Slip Detection


Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data


Combined Reinforcement Learning via Abstract Representations


Combined cluster and atomic displacement expansion for solid solutions and magnetism


Combined first-principles calculations of electron-electron and electron-phonon self-energies in condensed systems


Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements


Combined topological and spatial constraints are required to capture the structure of neural connectomes


Combing the Brown Dwarf Desert with Gaia DR3


Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform


Combining AI and AM - Improving Approximate Matching through Transformer Networks


Combining Answer Set Programming and Domain Heuristics for Solving Hard Industrial Problems (Application Paper)


Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution


Combining Automated Optimisation of Hyperparameters and Reward Shape


Combining Automation and Expertise: A Semi-automated Approach to Correcting Eye Tracking Data in Reading Tasks


Combining Autoregressive and Autoencoder Language Models for Text Classification


Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference


Combining BART and Principal Stratification to estimate the effect of intermediate on primary outcomes with application to estimating the effect of family planning on employment in sub-Saharan Africa


Combining Broad and Narrow Case Definitions in Matched Case-Control Studies: Firearms in the Home and Suicide Risk


Combining Causal Models for More Accurate Abstractions of Neural Networks


Combining Code Embedding with Static Analysis for Function-Call Completion


Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem


Combining Contrastive and Supervised Learning for Video Super-Resolution Detection


Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review


Combining Data Generation and Active Learning for Low-Resource Question Answering


Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection


Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification


Combining Deep Reinforcement Learning And Local Control For The Acrobot Swing-up And Balance Task


Combining Deep Reinforcement Learning and Search for Imperfect-Information Games


Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models


Combining Deterministic Enhanced Conditions with Dual-Streaming Encoding for Diffusion-Based Speech Enhancement


Combining Discrete and Neural Features for Sequence Labeling


Combining Distant and Direct Supervision for Neural Relation Extraction


Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents


Combining Dynamic Mode Decomposition with Ensemble Kalman Filtering for Tracking and Forecasting


Combining EfficientNet and Vision Transformers for Video Deepfake Detection


Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction


Combining Evolutionary Strategies and Novelty Detection to go Beyond the Alignment Limit of the $Z_3$ 3HDM


Combining Experimental and Historical Data for Policy Evaluation


Combining Fact Extraction and Verification with Neural Semantic Matching Networks


Combining Frame-Synchronous and Label-Synchronous Systems for Speech Recognition


Combining GANs and AutoEncoders for Efficient Anomaly Detection


Combining GPU and CPU for accelerating evolutionary computing workloads


Combining Game Design and Data Visualization to Inform Plastics Policy: Fostering Collaboration between Science, Decision-Makers, and Artificial Intelligence


Combining Generative and Discriminative Models for Hybrid Inference


Combining Generative and Geometry Priors for Wide-Angle Portrait Correction


Combining Gradient Information and Primitive Directions for High-Performance Mixed-Integer Optimization


Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks


Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images


Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection


Combining Hipparcos and Gaia data for the study of binaries: the BINARYS tool


Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration


Combining Humor and Sarcasm for Improving Political Parody Detection


Combining Induction and Transduction for Abstract Reasoning


Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs


Combining Interventional and Observational Data Using Causal Reductions


Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks


Combining Large Language Models with Static Analyzers for Code Review Generation


Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support


Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces


Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data


Combining Learning and Optimization for Transprecision Computing


Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft


Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering


Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction


Combining Machine Learning Models using combo Library


Combining Machine Learning with Computational Fluid Dynamics using OpenFOAM and SmartSim


Combining Mathematical Morphology and the Hilbert Transform for Fully Automatic Nuclei Detection in Fluorescence Microscopy


Combining Methods for Localization of Linear Focusing Errors


Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels


Combining Modular Skills in Multitask Learning


Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices


Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization


Combining Neural Network Models for Blood Cell Classification


Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery


Combining Normalizing Flows and Quasi-Monte Carlo


Combining OCR Models for Reading Early Modern Printed Books


Combining Observational Data and Language for Species Range Estimation


Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects


Combining Photogrammetric Computer Vision and Semantic Segmentation for Fine-grained Understanding of Coral Reef Growth under Climate Change


Combining Planning and Learning of Behavior Trees for Robotic Assembly


Combining Predicted and Live Traffic with Time-Dependent A* Potentials


Combining Predictions under Uncertainty: The Case of Random Decision Trees


Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling


Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes


Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity


Combining Quality of Service and System Health Metrics in MAPE-K based ROS Systems through Behavior Trees


Combining Query Performance Predictors: A Reproducibility Study


Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL


Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations


Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem


Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging


Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamics


Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation


Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection


Combining Sentiment Lexica with a Multi-View Variational Autoencoder


Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities


Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction


Combining Static and Contextualised Multilingual Embeddings


Combining Static and Dynamic Features for Multivariate Sequence Classification


Combining Textual Features for the Detection of Hateful and Offensive Language


Combining Transformers with Natural Language Explanations


Combining Vision and EMG-Based Hand Tracking for Extended Reality Musical Instruments


Combining Visual Saliency Methods and Sparse Keypoint Annotations to Providently Detect Vehicles at Night


Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM


Combining YOLO and Visual Rhythm for Vehicle Counting


Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities


Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments


Combining and Decoupling Rigid and Soft Grippers to Enhance Robotic Manipulation


Combining band-frequency separation and deep neural networks for optoacoustic imaging


Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure


Combining clustering of variables and feature selection using random forests


Combining cosmic shear data with correlated photo-$z$ uncertainties: constraints from DESY1 and HSC-DR1


Combining cytotoxic agents with continuous dose levels in seamless phase I-II clinical trials


Combining datasets to increase the number of samples and improve model fitting


Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets


Combining experimental and observational data through a power likelihood


Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression


Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance


Combining interdependent climate model outputs in CMIP5: A spatial Bayesian approach


Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons


Combining observational and experimental data for causal inference considering data privacy


Combining physics-informed graph neural network and finite difference for solving forward and inverse spatiotemporal PDEs


Combining piano performance dimensions for score difficulty classification


Combining predicate transformer semantics for effects: a case study in parsing regular languages


Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups


Combining straight-line and map-based distances to investigate the connection between proximity to healthy foods and disease


Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)


Combo of Thinking and Observing for Outside-Knowledge VQA


ComboGAN: Unrestrained Scalability for Image Domain Translation


Combustion Toolbox: An open-source thermochemical code for gas- and condensed-phase problems involving chemical equilibrium


Comer Schemes, Relation Algebras, and the Flexible Atom Conjecture


ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems


Comgra: A Tool for Analyzing and Debugging Neural Networks


ComiCap: A VLMs pipeline for dense captioning of Comic Panels


Comicolorization: Semi-Automatic Manga Colorization


Comics Datasets Framework: Mix of Comics datasets for detection benchmarking


Cominuscule subvarieties of flag varieties


CommVQ: Commutative Vector Quantization for KV Cache Compression


CommVQA: Situating Visual Question Answering in Communicative Contexts


Commensurate stacking phase transitions in an intercalated transition metal dichalcogenide


Comment Ranking Diversification in Forum Discussions


Comment on "Accumulating Evidence for the Associate Production of a Neutral Scalar with Mass around 151 GeV"


Comment on "An excess of massive stars in the local 30 Doradus starburst"


Comment on "An implementation of neural simulation-based inference for parameter estimation in ATLAS''


Comment on "AndrODet: An adaptive Android obfuscation detector"


Comment on "Harvesting information to control non-equilibrium states of active matter"


Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor Detection


Commentary Generation from Data Records of Multiplayer Strategy Esports Game


Commentary to Wan et al. (2014): Estimating the standard deviation from the sample size and range or quartiles


Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective


Comments on "Towards Unambiguous Edge Bundling: Investigating Confluent Drawings for Network Visualization"


Comments on the anti-Hawking effect on a BTZ black hole spacetime


Comments on the mass sheet degeneracy in cosmography analyses


Commet: comparing and combining multiple metagenomic datasets


Commit-Reveal$^2$: Randomized Reveal Order Mitigates Last-Revealer Attacks in Commit-Reveal


Commit0: Library Generation from Scratch


CommitBench: A Benchmark for Commit Message Generation


CommitShield: Tracking Vulnerability Introduction and Fix in Version Control Systems


Commitment to Sparse Strategies in Two-Player Games


Committee neural network potentials control generalization errors and enable active learning


Commodity-specific triads in the Dutch inter-industry production network


Common Benchmarks Undervalue the Generalization Power of Programmatic Policies


Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study


Common Ground Tracking in Multimodal Dialogue


Common Information, Matroid Representation, and Secret Sharing for Matroid Ports


Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction


Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications


Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning


Common Sense Enhanced Knowledge-based Recommendation with Large Language Model


Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers


Common equivalence and size after forgetting


Common-Description Learning: A Framework for Learning Algorithms and Generating Subproblems from Few Examples


Common-Knowledge Concept Recognition for SEVA


CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images


CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions


CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion


Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data


Commonsense Knowledge Editing Based on Free-Text in LLMs


Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering


Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce


Commonsense Knowledge in Word Associations and ConceptNet


Commonsense Prototype for Outdoor Unsupervised 3D Object Detection