CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection


CD2CR: Co-reference Resolution Across Documents and Domains


CDAN: Convolutional dense attention-guided network for low-light image enhancement


CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data


CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos


CDChat: A Large Multimodal Model for Remote Sensing Change Description


CDConv: A Benchmark for Contradiction Detection in Chinese Conversations


CDEdit: A Highly Applicable Redactable Blockchain with Controllable Editing Privilege and Diversified Editing Types


CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models


CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems


CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities


CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation


CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing


CDFSL-V: Cross-Domain Few-Shot Learning for Videos


CDGNet: Class Distribution Guided Network for Human Parsing


CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model


CDGS: Confidence-Aware Depth Regularization for 3D Gaussian Splatting


CDI: Copyrighted Data Identification in Diffusion Models


CDJ-Pontryagin Optimal Control for General Continuously Monitored Quantum Systems


CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems


CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning


CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs


CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection


CDNet is all you need: Cascade DCN based underwater object detection RCNN


CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound


CDO calibration via Magnus Expansion and Deep Learning


CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets


CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation


CDR-Agent: Intelligent Selection and Execution of Clinical Decision Rules Using Large Language Model Agents


CDR: Conservative Doubly Robust Learning for Debiased Recommendation


CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography Using Deep Learning


CDS -- Causal Inference with Deep Survival Model and Time-varying Covariates


CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection


CDST: A Toolkit for Testing Cockpit Display Systems of Avionics


CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation


CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation


CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?


CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report)


CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement


CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection


CECILIA: Comprehensive Secure Machine Learning Framework


CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification


CED: Consistent ensemble distillation for audio tagging


CEEBERT: Cross-Domain Inference in Early Exit BERT


CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction


CEFR-Based Sentence Difficulty Annotation and Assessment


CEFW: A Comprehensive Evaluation Framework for Watermark in Large Language Models


CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition


CEHA: A Dataset of Conflict Events in the Horn of Africa


CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations


CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation


CELA: Cost-Efficient Language Model Alignment for CTR Prediction


CELEBI: The CRAFT Effortless Localisation and Enhanced Burst Inspection Pipeline


CELES: CUDA-accelerated simulation of electromagnetic scattering by large ensembles of spheres


CELLO: Causal Evaluation of Large Vision-Language Models


CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning


CEM-RL: Combining evolutionary and gradient-based methods for policy search


CEM: Commonsense-aware Empathetic Response Generation


CEN-HDR: Computationally Efficient neural Network for real-time High Dynamic Range imaging


CENet: Context Enhancement Network for Medical Image Segmentation


CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving


CER: Confidence Enhanced Reasoning in LLMs


CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning


CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays


CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI


CEREC: A Corpus for Entity Resolution in Email Conversations


CERET: Cost-Effective Extrinsic Refinement for Text Generation


CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise


CESAR: A Convolutional Echo State AutoencodeR for High-Resolution Wind Forecasting


CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information


CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting


CEST-KAN: Kolmogorov-Arnold Networks for CEST MRI Data Analysis


CEScore: Simple and Efficient Confidence Estimation Model for Evaluating Split and Rephrase


CETN: Contrast-enhanced Through Network for CTR Prediction


CETRA: A fast, sensitive exoplanet transit detection algorithm implemented for GPUs


CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations


CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions


CEval: A Benchmark for Evaluating Counterfactual Text Generation


CF-Font: Content Fusion for Few-shot Font Generation


CF-GKAT: Efficient Validation of Control-Flow Transformations


CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks


CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems


CF-OPT: Counterfactual Explanations for Structured Prediction


CF-PRNet: Coarse-to-Fine Prototype Refining Network for Point Cloud Completion and Reconstruction


CF-ViT: A General Coarse-to-Fine Method for Vision Transformer


CFA: Class-wise Calibrated Fair Adversarial Training


CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization


CFBench: A Comprehensive Constraints-Following Benchmark for LLMs


CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model


CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images


CFCM: Segmentation via Coarse to Fine Context Memory


CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid Dynamics


CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models


CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering


CFGPT: Chinese Financial Assistant with Large Language Model


CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics


CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems


CFMW: Cross-modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions


CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition


CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching


CFNet: Optimizing Remote Sensing Change Detection through Content-Aware Enhancement


CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models


CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation


CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation


CFR-RL: Traffic Engineering with Reinforcement Learning in SDN


CFSNet: Toward a Controllable Feature Space for Image Restoration


CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information


CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter


CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation


CFaults: Model-Based Diagnosis for Fault Localization in C Programs with Multiple Test Cases


CFiCS: Graph-Based Classification of Common Factors and Microcounseling Skills


CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud


CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric Algebra


CGAAL: Distributed On-The-Fly ATL Model Checker with Heuristics


CGAR: Critic Guided Action Redistribution in Reinforcement Leaning


CGBA: Curvature-aware Geometric Black-box Attack


CGC: Contrastive Graph Clustering for Community Detection and Tracking


CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations


CGCOD: Class-Guided Camouflaged Object Detection


CGI-Stereo: Accurate and Real-Time Stereo Matching via Context and Geometry Interaction


CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation


CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling


CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning


CGMOS: Certainty Guided Minority OverSampling


CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation


CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming


CGR-CUSUM: A Continuous time Generalized Rapid Response Cumulative Sum chart


CGRclust: Chaos Game Representation for Twin Contrastive Clustering of Unlabelled DNA Sequences


CGReplay: Capture and Replay of Cloud Gaming Traffic for QoE/QoS Assessment


CGTrack: Cascade Gating Network with Hierarchical Feature Aggregation for UAV Tracking


CGVQM+D: Computer Graphics Video Quality Metric and Dataset


CGX: Adaptive System Support for Communication-Efficient Deep Learning


CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs


CGiS-Net: Aggregating Colour, Geometry and Implicit Semantic Features for Indoor Place Recognition


CHAD-KG: A Knowledge Graph for Representing Cultural Heritage Objects and Digitisation Paradata


CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions


CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning


CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization


CHAIR -- Classifier of Hallucination as Improver


CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies


CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos


CHANCES, the Chilean Cluster Galaxy Evolution Survey: Selection and initial characterisation of clusters and superclusters


CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration


CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation


CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models


CHARM: Calibrating Reward Models With Chatbot Arena Scores


CHARM: Creating Halos with Auto-Regressive Multi-stage networks


CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition


CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search


CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools


CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation


CHBench: A Chinese Dataset for Evaluating Health in Large Language Models


CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models


CHEAT: A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTracts


CHECKED: Chinese COVID-19 Fake News Dataset


CHECKWHY: Causal Fact Verification via Argument Structure


CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)


CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking


CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval


CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing


CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder model


CHESS: Contextual Harnessing for Efficient SQL Synthesis


CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling


CHIANTI - an atomic database for emission lines - Paper XV: Version 9, improvements for the X-ray satellite lines


CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning


CHIME All-sky Multiday Pulsar Stacking Search (CHAMPSS): System Overview and First Discoveries


CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering


CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis


CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation


CHIP: CHannel Independence-based Pruning for Compact Neural Networks


CHIP: Chameleon Hash-based Irreversible Passport for Robust Deep Model Ownership Verification and Active Usage Control


CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search


CHIRLA: Comprehensive High-resolution Identification and Re-identification for Large-scale Analysis


CHIRON: Rich Character Representations in Long-Form Narratives


CHITNet: A Complementary to Harmonious Information Transfer Network for Infrared and Visible Image Fusion


CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models


CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata


CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning


CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs


CHORDONOMICON: A Dataset of 666,000 Songs and their Chord Progressions


CHORE: Contact, Human and Object REconstruction from a single RGB image


CHORUS: Foundation Models for Unified Data Discovery and Exploration


CHOTA: A Higher Order Accuracy Metric for Cell Tracking


CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization


CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports


CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space Data


CHSER: A Dataset and Case Study on Generative Speech Error Correction for Child ASR


CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy


CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets


CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs


CHisIEC: An Information Extraction Corpus for Ancient Chinese History


CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis


CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud


CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks


CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation


CIBRA identifies genomic alterations with a system-wide impact on tumor biology


CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation


CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams


CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification


CIDAR: Culturally Relevant Instruction Dataset For Arabic


CIDER: Commonsense Inference for Dialogue Explanation and Reasoning


CIDER: Counterfactual-Invariant Diffusion-based GNN Explainer for Causal Subgraph Inference


CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem


CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks


CIF2WAN: A Tool to Generate Input Files for Electronic Structure Calculations with Wannier90


CIFAR-10 Image Classification Using Feature Ensembles


CIGALE: a python Code Investigating GALaxy Emission


CIGAN: A Python Package for Handling Class Imbalance using Generative Adversarial Networks


CIGLI: Conditional Image Generation from Language & Image


CIGMO: Categorical invariant representations in a deep generative framework


CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction


CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement


CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification


CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments


CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain


CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods


CIPHER: Cybersecurity Intelligent Penetration-testing Helper for Ethical Researcher


CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis


CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations


CIRCLE: Capture In Rich Contextual Environments


CIRCLE: Continual Repair across Programming Languages


CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions


CIRO7.2: A Material Network with Circularity of -7.2 and Reinforcement-Learning-Controlled Robotic Disassembler


CISRNet: Compressed Image Super-Resolution Network


CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation


CITE: A Corpus of Image-Text Discourse Relations


CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing


CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application


CIZSL++: Creativity Inspired Generative Zero-Shot Learning


CInC Flow: Characterizable Invertible 3x3 Convolution


CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling


CJEval: A Benchmark for Assessing Large Language Models Using Chinese Junior High School Exam Data


CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension


CKConv: Continuous Kernel Convolution For Sequential Data


CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective


CKGConv: General Graph Convolution with Continuous Kernels


CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph


CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection


CKTSO: High-Performance Parallel Sparse Linear Solver for General Circuit Simulations


CKmeans and FCKmeans : Two deterministic initialization procedures for Kmeans algorithm using a modified crowding distance


CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers


CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection


CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning


CL-MAE: Curriculum-Learned Masked Autoencoders


CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints


CL-MASR: A Continual Learning Benchmark for Multilingual ASR


CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening


CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction


CL-NERIL: A Cross-Lingual Model for NER in Indian Languages


CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions


CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis


CL2R: Compatible Lifelong Learning Representations


CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment


CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection


CL4CTR: A Contrastive Learning Framework for CTR Prediction


CLAD: A Contrastive Learning based Approach for Background Debiasing


CLAD: A realistic Continual Learning benchmark for Autonomous Driving


CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning


CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation


CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?


CLAIR-A: Leveraging Large Language Models to Judge Audio Captions


CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models


CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs


CLAMP: A Contrastive Language And Molecule Pre-training Network


CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose


CLANet: A Comprehensive Framework for Cross-Batch Cell Line Identification Using Brightfield Images


CLAP-S: Support Set Based Adaptation for Downstream Fiber-optic Acoustic Recognition


CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation


CLAP: Concave Linear APproximation for Quadratic Graph Matching


CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts


CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems


CLAPSep: Leveraging Contrastive Pre-trained Model for Multi-Modal Query-Conditioned Target Sound Extraction


CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents


CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition


CLARE: A Semi-supervised Community Detection Algorithm


CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries


CLARINET: A RISC-V Based Framework for Posit Arithmetic Empiricism


CLARITY -- Comparing heterogeneous data using dissimiLARITY


CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification


CLASSLA-Stanza: The Next Step for Linguistic Processing of South Slavic Languages


CLAWSAT: Towards Both Robust and Accurate Code Models


CLC: Complex Linear Coding for the DNS 2020 Challenge


CLCC: Contrastive Learning for Color Constancy


CLCNet: Rethinking of Ensemble Modeling with Classification Confidence Network


CLDG: Contrastive Learning on Dynamic Graphs


CLDR: Contrastive Learning Drug Response Models from Natural Language Supervision


CLDTracker: A Comprehensive Language Description for Visual Tracking


CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models


CLEA: Closed-Loop Embodied Agent for Enhancing Task Execution in Dynamic Environments


CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-View Data Association


CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning


CLEAR: A Fully User-side Image Search System


CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up


CLEAR: Coverage-based Limiting-cell Experiment Analysis for RNA-seq


CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations


CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors


CLEF. A Linked Open Data native system for Crowdsourcing


CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning


CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation


CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability


CLEVE: Contrastive Pre-training for Event Extraction


CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes


CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog


CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning


CLEX: Continuous Length Extrapolation for Large Language Models


CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks


CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning


CLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignment


CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models


CLIC: Contrastive Learning Framework for Unsupervised Image Complexity Representation


CLID: Controlled-Length Image Descriptions with Limited Data


CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks


CLIFT: Analysing Natural Distribution Shift on Question Answering Models in Clinical Domain


CLIM: Contrastive Language-Image Mosaic for Region Representation


CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting


CLIMAX: An exploration of Classifier-Based Contrastive Explanations


CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation


CLIMB: A Benchmark of Clinical Bias in Large Language Models


CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models


CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain


CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding


CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System


CLIO: a Novel Robotic Solution for Exploration and Rescue Missions in Hostile Mountain Environments


CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally


CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet


CLIP Meets Video Captioning: Concept-Aware Representation Learning Does Matter


CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation


CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition


CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation


CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP


CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections


CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning


CLIP model is an Efficient Continual Learner


CLIP model is an Efficient Online Lifelong Learner


CLIP the Gap: A Single Domain Generalization Approach for Object Detection


CLIP the Landscape: Automated Tagging of Crowdsourced Landscape Images


CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes


CLIP-Adapter: Better Vision-Language Models with Feature Adapters


CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval


CLIP-Count: Towards Text-Guided Zero-Shot Object Counting


CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation


CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free


CLIP-DQA: Blindly Evaluating Dehazed Images from Global and Local Perspectives Using CLIP


CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting


CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning


CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks


CLIP-Driven Fine-grained Text-Image Person Re-identification


CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification


CLIP-Embed-KD: Computationally Efficient Knowledge Distillation Using Embeddings as Teachers


CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding


CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation


CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks


CLIP-Guided Source-Free Object Detection in Aerial Images


CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes


CLIP-IT: CLIP-based Pairing for Histology Images Classification


CLIP-KD: An Empirical Study of CLIP Model Distillation


CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision


CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding


CLIP-Mesh: Generating textured meshes from text using pretrained image-text models


CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling


CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields


CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment


CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey


CLIP-SLA: Parameter-Efficient CLIP Adaptation for Continuous Sign Language Recognition


CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images


CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance Segmentation


CLIP-VQDiffusion : Langauge Free Training of Text To Image generation using CLIP and vector quantized diffusion model


CLIP-based Camera-Agnostic Feature Learning for Intra-camera Person Re-Identification


CLIP-based Synergistic Knowledge Transfer for Text-based Person Retrieval


CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data


CLIP-guided Prototype Modulating for Few-shot Action Recognition


CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training


CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search


CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP


CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval


CLIP4IDC: CLIP for Image Difference Captioning


CLIP: A CUDA-Accelerated Lattice Boltzmann Framework for Interfacial Phenomena with Application to Liquid Jet Simulations


CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes


CLIP: Cheap Lipschitz Training of Neural Networks


CLIPArTT: Adaptation of CLIP to New Domains at Test Time


CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models


CLIPCleaner: Cleaning Noisy Labels with CLIP


CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting


CLIPPER: A Graph-Theoretic Framework for Robust Data Association


CLIPPER: Compression enables long-context synthetic data generation


CLIPSE -- a minimalistic CLIP-based image search engine for research


CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring


CLIPScore: A Reference-free Evaluation Metric for Image Captioning


CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction


CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos


CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare


CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation


CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics


CLIPVQA:Video Quality Assessment via CLIP


CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation


CLIPood: Generalizing CLIP to Out-of-Distributions


CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection


CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification


CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean


CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection


CLMM: a LSST-DESC Cluster weak Lensing Mass Modeling library for cosmology


CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text


CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI Feedback


CLNode: Curriculum Learning for Node Classification


CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models


CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients


CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection


CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning


CLOMO: Counterfactual Logical Modification with Large Language Models


CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning


CLOTHO: Directed Test Generation for Weakly Consistent Database Systems


CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning


CLOVER: Convnet Line-fitting Of Velocities in Emission-line Regions


CLOWN: The PASO cloud detection for optimization of automatic optical surveys


CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning


CLR: Channel-wise Lightweight Reprogramming for Continual Learning


CLRGaze: Contrastive Learning of Representations for Eye Movement Signals


CLRKDNet: Speeding up Lane Detection with Knowledge Distillation


CLRNet: Cross Layer Refinement Network for Lane Detection


CLRerNet: Improving Confidence of Lane Detection with LaneIoU


CLRmatchNet: Enhancing Curved Lane Detection with Deep Matching Process


CLS-CAD: Synthesizing CAD Assemblies in Fusion 360


CLS: Cross Labeling Supervision for Semi-Supervised Learning


CLSE: Corpus of Linguistically Significant Entities


CLSEG: Contrastive Learning of Story Ending Generation


CLTune: A Generic Auto-Tuner for OpenCL Kernels


CLUBB-SILHS: A parameterization of subgrid variability in the atmosphere


CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation


CLUES: Few-Shot Learning Evaluation in Natural Language Understanding


CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning


CLaCLab at SocialDisNER: Using Medical Gazetteers for Named-Entity Recognition of Disease Mentions in Spanish Tweets


CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models


CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval


CLaP -- State Detection from Time Series


CLadder: Assessing Causal Reasoning in Language Models


CLiFF-LHMP: Using Spatial Dynamics Patterns for Long-Term Human Motion Prediction


CLoG: Benchmarking Continual Learning of Image Generation Models


CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control


CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models


CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models


CM points on Shimura curves via QM-equivariant isogeny volcanoes


CM-CASL: Comparison-based Performance Modeling of Software Systems via Collaborative Active and Semisupervised Learning


CM-DQN: A Value-Based Deep Reinforcement Learning Model to Simulate Confirmation Bias


CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image


CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification


CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding


CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models


CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation


CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning


CM3AE: A Unified RGB Frame and Event-Voxel/-Frame Pre-training Framework


CMA-R:Causal Mediation Analysis for Explaining Rumour Detection


CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models


CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models


CMB-PAInT: An inpainting tool for the cosmic microwave background


CMB: A Comprehensive Medical Benchmark in Chinese


CMBAnalysis: A Modern Framework for High-Precision Cosmic Microwave Background Analysis


CMBFSCNN: Cosmic Microwave Background Polarization Foreground Subtraction with Convolutional Neural Network


CMC-Bench: Towards a New Paradigm of Visual Signal Compression


CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion Recognition


CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation


CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation


CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems


CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic Segmentation


CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexity


CMF: Cascaded Multi-model Fusion for Referring Image Segmentation


CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-scale Geometry


CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement


CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding


CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning


CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing


CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models


CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation


CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning


CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News


CMNER: A Chinese Multimodal NER Dataset based on Social Media


CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation


CMPCC: Corridor-based Model Predictive Contouring Control for Aggressive Drone Flight


CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning


CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text


CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs


CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring


CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios


CMU DeepLens: Deep Learning For Automatic Image-based Galaxy-Galaxy Strong Lens Finding


CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology


CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes


CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models


CMVAE: Causal Meta VAE for Unsupervised Meta-Learning


CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning


CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers


CMZoom: Survey Overview and First Data Release


CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting


CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast Maximization


CMiNet: R package for learning the Consensus Microbiome Network


CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference


CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations


CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models


CN2F: A Cloud-Native Cellular Network Framework


CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors


CNG-SFDA:Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation


CNIMA: A Universal Evaluation Framework and Automated Approach for Assessing Second Language Dialogues


CNLL: A Semi-supervised Approach For Continual Noisy Label Learning


CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters


CNN Architecture Comparison for Radio Galaxy Classification


CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification


CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging


CNN Injected Transformer for Image Exposure Correction


CNN Model & Tuning for Global Road Damage Detection


CNN based Intelligent Streetlight Management Using Smart CCTV Camera and Semantic Segmentation


CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors


CNN based Road User Detection using the 3D Radar Cube


CNN features are also great at unsupervised classification


CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging


CNN-Based Vortex Detection in Atomic 2D Bose Gases in the Presence of a Phononic Background


CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images


CNN-Cap: Effective Convolutional Neural Network Based Capacitance Models for Full-Chip Parasitic Extraction


CNN-JEPA: Self-Supervised Pretraining Convolutional Neural Networks Using Joint Embedding Predictive Architecture


CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data


CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction


CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting


CNN-based Methods for Object Recognition with High-Resolution Tactile Sensors


CNN-based Segmentation of Medical Imaging Data


CNN-based fast source device identification


CNN-based local features for navigation near an asteroid


CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels


CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android


CNNs and Transformers Perceive Hybrid Images Similar to Humans


CNNs for Style Transfer of Digital to Film Photography


CNNs on Surfaces using Rotation-Equivariant Features


CNNtention: Can CNNs do better with Attention?


CNO Solar Neutrinos in Next-Generation Dark Matter Experiments


CNOS: A Strong Baseline for CAD-based Novel Object Segmentation


CNTS: Cooperative Network for Time Series


CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design


CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection


CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts


CO-OPERA: A Human-AI Collaborative Playwriting Tool to Support Creative Storytelling for Interdisciplinary Drama Education


CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI


CO2: Efficient Distributed Training with Full Communication-Computation Overlap


CO2Wounds-V2: Extended Chronic Wounds Dataset From Leprosy Patients


COADVISE: Covariate Adjustment with Variable Selection in Randomized Controlled Trials


COALA: A Practical and Vision-Centric Federated Learning Platform


COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations


COAP: Compositional Articulated Occupancy of People


COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation


COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing


COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis


COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting


COBALT: COnstrained Bayesian optimizAtion of computationaLly expensive grey-box models exploiting derivaTive information


COBRA: Contrastive Bi-Modal Representation Algorithm


COBRAPRO: A MATLAB toolbox for Physics-based Battery Modeling and Co-simulation Parameter Optimization


COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation


COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks


COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization


COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder


COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding


COCOA Code for Creating Mock Observations of Star Cluster Models


COCOA: Cross Modality Contrastive Learning for Sensor Data


COCTEAU: an Empathy-Based Tool for Decision-Making


COD3S: Diverse Generation with Discrete Semantic Signatures


CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset


CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning


CODA: Counting Objects via Scale-aware Adversarial Density Adaption


CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense


CODE-ACCORD: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance Checking


CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics


CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning


CODE: Confident Ordinary Differential Editing


CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit


CODEMENV: Benchmarking Large Language Models on Code Migration


CODES: Benchmarking Coupled ODE Surrogates


CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale


CODEX: A Cluster-Based Method for Explainable Reinforcement Learning


CODiT: Conformal Out-of-Distribution Detection in Time-Series Data


COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks


COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution


COFAR: Commonsense and Factual Reasoning in Image Search


COFFE: A Code Efficiency Benchmark for Code Generation


COGMEN: COntextualized GNN based Multimodal Emotion recognitioN


COGS: A Compositional Generalization Challenge Based on Semantic Interpretation


COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models


COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation


COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation


COIL: Constrained Optimization in Learned Latent Space: Learning Representations for Valid Solutions


COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List


COIN++: Neural Compression Across Modalities


COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry


COIN: COmpression with Implicit Neural representations


COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation


COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images


COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion


COKE: A Cognitive Knowledge Graph for Machine Theory of Mind


COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data


COL0RME: Super-resolution microscopy based on sparse blinking/fluctuating fluorophore localization and intensity estimation


COLA: A Scalable Multi-Agent Framework For Windows UI Task Automation


COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets


COLA: Consistent Learning with Opponent-Learning Awareness


COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective


COLA: Cross-city Mobility Transformer for Human Trajectory Simulation


COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics


COLD: A Benchmark for Chinese Offensive Language Detection


COLD: Causal reasOning in cLosed Daily activities


COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring


COLE: A Column-based Learned Storage for Blockchain Systems


COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits


COLLIDER: A Robust Training Framework for Backdoor Data


COLLIE: Systematic Construction of Constrained Text Generation Tasks


COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization


COLOSS: Complex-scaled Optical and couLOmb Scattering Solver


COLOSSUS: A python toolkit for cosmology, large-scale structure, and dark matter halos


COLUMBUS: Evaluating COgnitive Lateral Understanding through Multiple-choice reBUSes


COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation


COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language Benchmark


COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems


COMBO: A Complete Benchmark for Open KG Canonicalization


COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models


COME: Adding Scene-Centric Forecasting Control to Occupancy World Model


COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence


COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs


COMET-M: Reasoning about Multiple Events in Complex Sentences


COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression


COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation


COMET: Coverage-guided Model Generation For Deep Learning Library Testing


COMET: Neural Cost Model Explanation Framework


COMETA: A Corpus for Medical Entity Linking in the Social Media


COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection


COMISR: Compression-Informed Video Super-Resolution


COMMA: Co-Articulated Multi-Modal Learning


COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation


COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities


COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework


COMMUNITY-CROSS-INSTRUCT: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities


COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition


COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act


COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching


COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality


COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models


COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detection


COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization


COMRECGC: Global Graph Counterfactual Explainer through Common Recourse


CON-FOLD -- Explainable Machine Learning with Confidence


CONCERTO: High-fidelity simulation of millimeter line emissions of galaxies and [CII] intensity mapping


CONCORD: Clone-aware Contrastive Learning for Source Code


CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval


CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation


CONFLARE: CONFormal LArge language model REtrieval


CONGRA: Benchmarking Automatic Conflict Resolution


CONNECT: A neural network based framework for emulating cosmological observables and cosmological parameter inference


CONQUER: Contextual Query-aware Ranking for Video Corpus Moment Retrieval


CONSISTENT: Open-Ended Question Generation From News Articles


CONTAIN: A Community-based Algorithm for Network Immunization


CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee


CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction


CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data Generation


CONVERT:Contrastive Graph Clustering with Reliable Augmentation


CONet: Channel Optimization for Convolutional Neural Networks


CONetV2: Efficient Auto-Channel Size Optimization for CNNs


COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts


COOLIO: A Language Support Extension for the Classroom Object Oriented Language


COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking


COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving


COOPER: Coordinating Specialized Agents towards a Complex Dialogue Goal


COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning


COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnails


COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning


COPA-SSE: Semi-structured Explanations for Commonsense Reasoning


COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks


COPA: Constrained PARAFAC2 for Sparse & Large Datasets


COPAL-ID: Indonesian Language Reasoning with Local Culture and Nuances


COPEN: Probing Conceptual Knowledge in Pre-trained Language Models


COPER: Continuous Patient State Perceiver


COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles


COPT: Coordinated Optimal Transport for Graph Sketching


CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching


CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese


CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation


CORAL: Expert-Curated medical Oncology Reports to Advance Language Model Inference


CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models


CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?


CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT


CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark


CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering


CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement


CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation


CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation


CORE: Automatic Molecule Optimization Using Copy & Refine Strategy


CORE: Consistent Representation Learning for Face Forgery Detection


CORE: Cooperative Reconstruction for Multi-Agent Perception


CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay


CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space


CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning


CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models


CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation


CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects


CORNET 2.0: A Co-Simulation Middleware for Robot Networks


CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics


CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking


CORSIKA 8 -- Contributions to the 37th International Cosmic Ray Conference in Berlin Germany (ICRC 2021)


CORU: Comprehensive Post-OCR Parsing and Receipt Understanding Dataset


CORWA: A Citation-Oriented Related Work Annotation Dataset


COS960: A Chinese Word Similarity Dataset of 960 Word Pairs


COSA: Concatenated Sample Pretrained Vision-Language Foundation Model


COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification


COSE$ν$: A Collective Oscillation Simulation Engine for Neutrinos


COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification


COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism


COSMIC: A Galaxy Cluster Finding Algorithm Using Machine Learning


COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation


COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation


COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering


COSMO: Contextualized Scene Modeling with Boltzmann Machines


COSMOS Spectroscopic Redshift Compilation (First Data Release): 165k Redshifts Encompassing Two Decades of Spectroscopy


COSMOS-Web: The over-abundance and physical nature of "little red dots"--Implications for early galaxy and SMBH assembly


COSMOS-Web: stellar mass assembly in relation to dark matter halos across $0.2<z<12$ of cosmic history


COSMOS2020: A panchromatic view of the Universe to $z\sim10$ from two complementary catalogs


COSMOS2020: Exploring the dawn of quenching for massive galaxies at 3 < z < 5 with a new colour selection method


COSMOS: A Data-Driven Probabilistic Time Series simulator for Chemical Plumes across Spatial Scales


COSMOS: A Hybrid Adaptive Optimizer for Memory-Efficient Training of LLMs


COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning


COSMic: A Coherence-Aware Generation Metric for Image Descriptions


COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation


COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered Scenes


COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas


COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models


COSTA: Communication-Optimal Shuffle and Transpose Algorithm with Process Relabeling


COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning


COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning


COSTI: a New Classifier for Sequences of Temporal Intervals


COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments


COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction


COTR: Correspondence Transformer for Matching Across Images


COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval


COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation


COV19IR : COVID-19 Domain Literature Information Retrieval


COVE: COntext and VEracity prediction for out-of-context images


COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing


COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation


COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings


COVID-19 Activity Risk Calculator as a Gamified Public Health Intervention Tool


COVID-19 Data Analysis and Forecasting: Algeria and the World


COVID-19 Detection Using Segmentation, Region Extraction and Classification Pipeline


COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images


COVID-19 Detection on Chest X-Ray Images: A comparison of CNN architectures and ensembles


COVID-19 Diagnosis from Cough Acoustics using ConvNets and Data Augmentation


COVID-19 Epidemic in Mumbai: Projections, full economic opening, and containment zones versus contact tracing and testing: An Update


COVID-19 India Dataset: Parsing COVID-19 Data in Daily Health Bulletins from States in India


COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs


COVID-19 Named Entity Recognition for Vietnamese


COVID-19 Patient Detection from Telephone Quality Speech Data


COVID-19 Pneumonia and Influenza Pneumonia Detection Using Convolutional Neural Networks


COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction


COVID-19 Risk Estimation using a Time-varying SIR-model


COVID-19 Tweets Analysis through Transformer Language Models


COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes


COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Dataset of Anti-vaccine Content, Vaccine Misinformation and Conspiracies


COVID-19 Vaccine Misinformation in Middle Income Countries


COVID-19 and Global Economic Growth: Policy Simulations with a Pandemic-Enabled Neoclassical Growth Model


COVID-19 and social media: Beyond polarization


COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanism


COVID-19 detection using ViT transformer-based approach from Computed Tomography Images


COVID-19 detection using chest X-rays: is lung segmentation important for generalization?


COVID-19 event extraction from Twitter via extractive question answering with continuous prompts


COVID-19 growth prediction using multivariate long short term memory


COVID-19 in low-tolerance border quarantine systems: impact of the Delta variant of SARS-CoV-2


COVID-19 incidence in the Republic of Ireland: A case study for network-based time series models


COVID-19 is linked to changes in the time-space dimension of human mobility


COVID-19 personal protective equipment detection using real-time deep learning methods


COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature


COVID-19-related Nepali Tweets Classification in a Low Resource Setting


COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation


COVID-19: Social Media Sentiment Analysis on Reopening


COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning


COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19


COVID-Datathon: Biomarker identification for COVID-19 severity based on BALF scRNA-seq data


COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic


COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data


COVID-Net US-X: Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learning


COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter


COVID-VIT: Classification of COVID-19 from CT chest images based on vision transformer models


COVID-VTS: Fact Extraction and Verification on Short Video Platforms


COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions


COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images


COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics


COVR: A test-bed for Visually Grounded Compositional Generalization with real images


COWS: A filament finder for Hessian cosmic web identifiers


COZMIC. I. Cosmological Zoom-in Simulations with Initial Conditions Beyond Cold Dark Matter


CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving


COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data


COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation


COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement


CP HDR: A feature point detection and description library for LDR and HDR images


CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code


CP-MDP: A CANDECOMP-PARAFAC Decomposition Approach to Solve a Markov Decision Process Multidimensional Problem


CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning


CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation


CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation


CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations


CPCL: Cross-Modal Prototypical Contrastive Learning for Weakly Supervised Text-based Person Re-Identification


CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation


CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI


CPF: Learning a Contact Potential Field to Model the Hand-Object Interaction


CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds


CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems


CPG-Based Manipulation with Multi-Module Origami Robot Surface


CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement


CPIA Dataset: A Comprehensive Pathological Image Analysis Dataset for Self-supervised Learning Pre-training


CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities


CPL-SLAM: Efficient and Certifiably Correct Planar Graph-Based SLAM Using the Complex Number Representation


CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment


CPLLM: Clinical Prediction with Large Language Models


CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection


CPM-2: Large-scale Cost-effective Pre-trained Language Models


CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers


CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning


CPP-DIP: Multi-objective Coverage Path Planning for MAVs in Dispersed and Irregular Plantations


CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation


CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote Aggregation


CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild


CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models


CPR: Classifier-Projection Regularization for Continual Learning


CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming


CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation


CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models


CPT: Consistent Proxy Tuning for Black-box Optimization


CPT: Efficient Deep Neural Network Training via Cyclic Precision


CPTAM: Constituency Parse Tree Aggregation Method


CPU Scheduling in Data Centers Using Asynchronous Finite-Time Distributed Coordination Mechanisms


CPU frequency scheduling of real-time applications on embedded devices with temporal encoding-based deep reinforcement learning


CPnP: Consistent Pose Estimator for Perspective-n-Point Problem with Bias Elimination


CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity


CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution


CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling


CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations


CQ CNN: A Hybrid Classical Quantum Convolutional Neural Network for Alzheimer's Disease Detection Using Diffusion Generated and U Net Segmented 3D MRI


CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection


CQASUMM: Building References for Community Question Answering Summarization Corpora


CQIL: Inference Latency Optimization with Concurrent Computation of Quasi-Independent Layers


CQLite: Communication-Efficient Multi-Robot Exploration Using Coverage-biased Distributed Q-Learning


CQural: A Novel CNN based Hybrid Architecture for Quantum Continual Machine Learning


CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports


CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability


CR-GAN: Learning Complete Representations for Multi-view Generation


CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks


CR-Lasso: Robust cellwise regularized sparse regression


CR-SAM: Curvature Regularized Sharpness-Aware Minimization


CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models


CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse


CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation


CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking


CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers


CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents


CRAC: Checkpoint-Restart Architecture for CUDA with Streams and UVM


CRAD: Clustering with Robust Autocuts and Depth


CRADLE-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement


CRADMap: Applied Distributed Volumetric Mapping with 5G-Connected Multi-Robots and 4D Radar Perception


CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation


CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions


CRAFT: Concept Recursive Activation FacTorization for Explainability


CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow


CRAFT: Extracting and Tuning Cultural Instructions from the Wild


CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness


CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution


CRANE: A MOOSE-based Open Source Tool for Plasma Chemistry Applications


CRASS: A Novel Data Set and Benchmark to Test Counterfactual Reasoning of Large Language Models


CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention


CRAVE: A Conflicting Reasoning Approach for Explainable Claim Verification Using LLMs


CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders


CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning


CRCL at SemEval-2024 Task 2: Simple prompt optimizations


CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model


CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues


CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge


CREAM: Consistency Regularized Self-Rewarding Language Models


CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping


CREASE-2D Analysis of Small Angle X-ray Scattering Data from Supramolecular Dipeptide Systems


CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model


CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models


CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection


CREF: An LLM-based Conversational Software Repair Framework for Programming Tutors


CREMP: Conformer-rotamer ensembles of macrocyclic peptides for machine learning


CREPE: A Convolutional Representation for Pitch Estimation


CREPE: Can Vision-Language Foundation Models Reason Compositionally?


CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction


CREPE: Open-Domain Question Answering with False Presuppositions


CREPO: An Open Repository to Benchmark Credal Network Algorithms


CRESCENDO: An on-the-fly Fokker-Planck Solver for Spectral Cosmic Rays in Cosmological Simulations


CREST: A Joint Framework for Rationalization and Counterfactual Text Generation


CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics


CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning


CREW: Facilitating Human-AI Teaming Research


CRFL: Certifiably Robust Federated Learning against Backdoor Attacks


CRGC -- A Practical Framework for Constructing Reusable Garbled Circuits


CRIL: Continual Robot Imitation Learning via Generative and Prediction Model


CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame


CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering


CRIS: CLIP-Driven Referring Image Segmentation


CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation


CRISP: A Framework for Cryo-EM Image Segmentation and Processing with Conditional Random Field


CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data


CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family


CRISP: Hybrid Structured Sparsity for Class-aware Model Pruning


CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios


CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads


CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception


CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task


CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks


CROCODILE \\ Incorporating medium-resolution spectroscopy of close-in directly imaged exoplanets into atmospheric retrievals via cross-correlation


CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning


CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems


CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders


CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road Scene


CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing


CROP: Conservative Reward for Model-based Offline Policy Optimization


CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing


CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation


CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts


CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers


CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization


CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators


CRP-Tree: A phylogenetic association test for binary traits


CRRG-CLIP: Automatic Generation of Chest Radiology Reports and Classification of Chest Radiographs


CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Model


CRSLab: An Open-Source Toolkit for Building Conversational Recommender System


CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras


CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers


CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection


CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models


CRUISE-Screening: Living Literature Reviews Toolbox


CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL


CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection


CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation


CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues


CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines


CRYSPNet: Crystal Structure Predictions via Neural Network


CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model


CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection


CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks


CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery


CS-Embed at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysis


CS-Eval: A Comprehensive Large Language Model Benchmark for CyberSecurity


CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE


CS-ROMER: A novel compressed sensing framework for Faraday depth reconstruction


CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification


CS-TGN: Community Search via Temporal Graph Neural Networks


CS-TRD: a Cross Sections Tree Ring Detection method


CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic


CS-lol: a Dataset of Viewer Comment with Scene in E-sports Live-streaming


CS1QA: A Dataset for Assisting Code-based Question Answering in an Introductory Programming Course


CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging


CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints


CSA-Trans: Code Structure Aware Transformer for AST


CSAD: Unsupervised Component Segmentation for Logical Anomaly Detection


CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling


CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusion


CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation


CSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement Learning


CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation


CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers


CSCLog: A Component Subsequence Correlation-Aware Log Anomaly Detection Method


CSCO: Connectivity Search of Convolutional Operators


CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning


CSE: Surface Anomaly Detection with Contrastively Selected Embedding


CSEPrompts: A Benchmark of Introductory Computer Science Prompts


CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting


CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes


CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving


CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing


CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation


CSGCL: Community-Strength-Enhanced Graph Contrastive Learning


CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations


CSGO: Constrained-Softassign Gradient Optimization For Large Graph Matching


CSHNet: A Novel Information Asymmetric Image Translation Method


CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing


CSI-Net: Unified Human Body Characterization and Pose Recognition


CSI: Enhancing the Robustness of 3D Point Cloud Recognition against Corruption


CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances


CSIM: A Copula-based similarity index sensitive to local changes for Image quality assessment


CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios


CSL-YOLO: A New Lightweight Object Detection System for Edge Computing


CSL: A Large-scale Chinese Scientific Literature Dataset


CSLNSpeech: solving extended speech separation problem with the help of Chinese sign language


CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion


CSM-H-R: A Context Modeling Framework in Supporting Reasoning Automation for Interoperable Intelligent Systems and Privacy Protection


CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews


CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning


CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels


CSP: A Simulator For Multi-Agent Ranking Competitions


CSPBench: a benchmark and critical evaluation of Crystal Structure Prediction


CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection


CSPNet: A New Backbone that can Enhance Learning Capability of CNN


CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market


CSQF-based Time-Sensitive Flow Scheduling in Long-distance Industrial IoT Networks


CSRCZ: A Dataset About Corporate Social Responsibility in Czech Republic


CSRec: Rethinking Sequential Recommendation from A Causal Perspective


CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models


CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages


CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset


CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs


CSSR: A Context-Aware Sequential Software Service Recommendation Model


CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP Tasks


CSST Cosmological Emulator III: Hybrid Lagrangian Bias Expansion Emulation of Galaxy Clustering


CSST Large-scale Structure Analysis Pipeline: II. the CSST Emulator for Slitless Spectroscopy (CESS)


CSST Strong Lensing Preparation: Fast Modeling of Galaxy-Galaxy Strong Lenses in the Big Data Era


CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer


CST5: Data Augmentation for Code-Switched Semantic Parsing


CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization


CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering


CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features


CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation


CT Liver Segmentation via PVT-based Encoding and Refined Decoding


CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic Stroke


CT Reconstruction from Few Planar X-rays with Application towards Low-resource Radiotherapy


CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach


CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results


CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural Networks


CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning


CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability


CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer


CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising


CT-Net: Channel Tensorization Network for Video Classification


CT-SAT: Contextual Transformer for Sequential Audio Tagging


CT-UIO: Continuous-Time UWB-Inertial-Odometer Localization Using Non-Uniform B-spline with Fewer Anchors


CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning


CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths


CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis


CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging


CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer


CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations


CTAP: Complementary Temporal Action Proposal Generation


CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration


CTBENCH: A Library and Benchmark for Certified Training


CTBNCToolkit: Continuous Time Bayesian Network Classifier Toolkit


CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design


CTC-based Non-autoregressive Textless Speech-to-Speech Translation


CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution


CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics


CTE-MLO: Continuous-time and Efficient Multi-LiDAR Odometry with Localizability-aware Point Cloud Sampling


CTE: A Dataset for Contextualized Table Extraction


CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence


CTIN: Robust Contextual Transformer Network for Inertial Navigation


CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations


CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System for DDoS attacks in an SDN environment


CTNeRF: Cross-Time Transformer for Dynamic Neural Radiance Field from Monocular Video


CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction


CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation


CTR-Driven Advertising Image Generation with Multimodal Large Language Models


CTR-KAN: KAN for Adaptive High-Order Feature Interaction Modeling


CTRAN: CNN-Transformer-based Network for Natural Language Understanding


CTRL-C: Camera calibration TRansformer with Line-Classification


CTRL-F: Pairing Convolution with Transformer for Image Classification via Multi-Level Feature Cross-Attention and Representation Learning Fusion


CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation


CTRLsum: Towards Generic Controllable Text Summarization


CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces


CTS: A Consistency-Based Medical Image Segmentation Model


CTSM: Combining Trait and State Emotions for Empathetic Response Model


CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction


CTVIS: Consistent Training for Online Video Instance Segmentation


CTbend: A Bayesian open-source framework to model pointing corrections for Cherenkov telescopes


CToMP: A Cycle-task-oriented Memory Protection Scheme for Unmanned Systems


CTopPRM: Clustering Topological PRM for Planning Multiple Distinct Paths in 3D Environments


CU-Net: LiDAR Depth-Only Completion With Coupled U-Net


CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds


CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models


CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial Odometry


CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA


CUBIC: Concept Embeddings for Unsupervised Bias Identification using VLMs


CUCL: Codebook for Unsupervised Continual Learning


CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection


CUDA-Optimized real-time rendering of a Foveated Visual System


CUDA-based optical parametric oscillator simulator


CUDA: Convolution-based Unlearnable Datasets


CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition


CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention


CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models


CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models


CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016


CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting


CULTURE3D: Cultural Landmarks and Terrain Dataset for 3D Applications


CUP: Cluster Pruning for Compressing Deep Neural Networks


CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset


CUR Matrix Approximation through Convex Optimization for Feature Selection


CUR for Implicit Time Integration of Random Partial Differential Equations on Low-Rank Matrix Manifolds


CURATE: Scaling-up Differentially Private Causal Graph Discovery


CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants


CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence


CURE: A dataset for Clinical Understanding & Retrieval Evaluation


CURE: Code-Aware Neural Machine Translation for Automatic Program Repair


CURIE: A Cellular Automaton for Concept Drift Detection


CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning


CURL: Continuous, Ultra-compact Representation for LiDAR


CURLoRA: Stable LLM Continual Fine-Tuning and Catastrophic Forgetting Mitigation


CURTAINs for your Sliding Window: Constructing Unobserved Regions by Transforming Adjacent Intervals


CURVALID: Geometrically-guided Adversarial Prompt Detection


CUSTOM: Aspect-Oriented Product Summarization for E-Commerce


CUTE solutions for two-point correlation functions from large cosmological datasets


CUTE: Measuring LLMs' Understanding of Their Tokens


CV-Attention UNet: Attention-based UNet for 3D Cerebrovascular Segmentation of Enhanced TOF-MRA Images


CV-Cities: Advancing Cross-View Geo-Localization in Global Cities


CV-MOS: A Cross-View Model for Motion Segmentation


CV-VAE: A Compatible Video VAE for Latent Generative Video Models


CV2X-LOCA: Roadside Unit-Enabled Cooperative Localization Framework for Autonomous Vehicles


CV32RT: Enabling Fast Interrupt and Context Switching for RISC-V Microcontrollers


CV4Quantum: Reducing the Sampling Overhead in Probabilistic Error Cancellation Using Control Variates


CVABS: Moving Object Segmentation with Common Vector Approach for Videos


CVAD: A generic medical anomaly detector based on Cascade VAE


CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose Estimation


CVC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models


CVC: Contrastive Learning for Non-parallel Voice Conversion


CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities


CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image


CVKAN: Complex-Valued Kolmogorov-Arnold Networks


CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation


CVPT: Cross-Attention help Visual Prompt Tuning adapt visual task


CVR-LSE: Compact Vectorization Representation of Local Static Environments for Unmanned Ground Vehicles


CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images


CVSS Corpus and Massively Multilingual Speech-to-Speech Translation


CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description


CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction


CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection


CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer


CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data


CVXR: An R Package for Disciplined Convex Optimization


CVXSADes: a stochastic algorithm for constructing optimal exact regression designs with single or multiple objectives


CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model


CVaR-based Safety Analysis in the Infinite Time Horizon Setting


CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility


CViT: Continuous Vision Transformer for Operator Learning


CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization


CWD30: A Comprehensive and Holistic Dataset for Crop Weed Recognition in Precision Agriculture


CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation


CWRCzech: 100M Query-Document Czech Click Dataset and Its Application to Web Relevance Ranking


CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNet


CWTHF: Identifying Dark Matter Halos with Continuous Wavelet Transform


CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling


CWebGen -- A tool to study colour structure of scattering amplitudes in IR limit


CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models


CXLMemSim: A pure software simulated CXL.mem for performance characterization


CXMArena: Unified Dataset to benchmark performance in realistic CXM Scenarios


CXPlain: Causal Explanations for Model Interpretation under Uncertainty


CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge Distillation


CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning


CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images


CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays


CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays


CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation


CYCLE: Learning to Self-Refine the Code Generation


CYJAX: A package for Calabi-Yau metrics with JAX


CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors


C^2DA: Contrastive and Context-aware Domain Adaptive Semantic Segmentation


C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction


Ca$^2$Lib: Simple and Accurate LiDAR-RGB Calibration using Small Common Markers


Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing


CaAdam: Improving Adam optimizer using connection aware methods


CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models


CaBuAr: California Burned Areas dataset for delineation


CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns


CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning


CaDRec: Contextualized and Debiased Recommender Model


CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering


CaFA: Global Weather Forecasting with Factorized Attention on Sphere


CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation


CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners


CaLMQA: Exploring culturally specific long-form question answering across 23 languages


CaLiV: LiDAR-to-Vehicle Calibration of Arbitrary Sensor Setups via Object Reconstruction


CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language Models


CaMEL: Case Marker Extraction without Labels


CaMEL: Mean Teacher Learning for Image Captioning


CaMML: Context-Aware Multimodal Learner for Large Models


CaMU: Disentangling Causal Effects in Deep Model Unlearning


CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation


CaPC Learning: Confidential and Private Collaborative Learning


CaPa: Carve-n-Paint Synthesis for Efficient 4K Textured Mesh Generation


CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation


CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots


CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process


CaRtGS: Computational Alignment for Real-Time Gaussian Splatting SLAM


CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations


CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems


CaT: Balanced Continual Graph Learning with Graph Condensation


CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions


CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs


Cable Optimization and Drag Estimation for Tether-Powered Multirotor UAVs


Cable Tree Wiring -- Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence Constraints


CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset


Cache Allocation in Multi-Tenant Edge Computing via online Reinforcement Learning


Cache Where you Want! Reconciling Predictability and Coherent Caching


Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models


Cache-Efficient Fork-Processing Patterns on Large Graphs


Cache-Oblivious Peeling of Random Hypergraphs


CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion


CacheFX: A Framework for Evaluating Cache Security


CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving


CacheQL: Quantifying and Localizing Cache Side-Channel Vulnerabilities in Production Software


Cached Multi-Lora Composition for Multi-Concept Image Generation


Caching-Augmented Lifelong Multi-Agent Path Finding


Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory


Cadabra and Python algorithms in General Relativity and Cosmology I: Generalities


Cadabra and Python algorithms in General Relativity and Cosmology II: Gravitational Waves


Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams


Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models


Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling


CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering