Counting Molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images


Counting Network for Learning from Majority Label


Counting Parabolic Double Cosets in Symmetric Groups


Counting Rotational Sets for Laminations of the Unit Disk from First Principles


Counting Statistics of Actively Quenched SPADs Under Continuous Illumination


Counting Unreachable Single-Side Pawn Diagrams with Limitless Captures


Counting and Algorithmic Generalization with Transformers


Counting and Hardness-of-Finding Fixed Points in Cellular Automata on Random Graphs


Counting and building operators in theories with hidden symmetries and application to HEFT


Counting and sampling gene family evolutionary histories in the duplication-loss and duplication-loss-transfer models


Counting graded lattices of rank three that have few coatoms


Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers


Counting occurrences of patterns in permutations


Counting operators in Effective Field Theories


Counting points on generic character varieties


Counting pop-stacked permutations in polynomial time


Counting sub-multisets of fixed cardinality


Counting the number of group orbits by marrying the Burnside process with importance sampling


Counting to Explore and Generalize in Text-based Games


Counting tropical curves in $\mathbb{P}^1\times\mathbb{P}^1$: computation & polynomiality properties


Counting with Adaptive Auxiliary Learning


Counting with the quantum alternating operator ansatz


Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models


Country Image in COVID-19 Pandemic: A Case Study of China


Country-Scale Cropland Mapping in Data-Scarce Settings Using Deep Learning: A Case Study of Nigeria


Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data


Couple stresses and discrete potentials in the vertex model of cellular monolayers


CoupleNet: Coupling Global Structure with Local Parts for Object Detection


Coupled Boundary and Volume Integral Equations for Electromagnetic Scattering


Coupled Cluster Downfolding Theory in Simulations of Chemical Systems on Quantum Hardware


Coupled Cluster-Inspired Geminal Wavefunctions


Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution


Coupled Dictionary Learning for Multi-contrast MRI Reconstruction


Coupled Feature Learning for Multimodal Medical Image Fusion


Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection


Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis


Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching


Coupled Layer-wise Graph Convolution for Transportation Demand Prediction


Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations


Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies


Coupled Phase-Shift STAR-RISs: A General Optimization Framework


Coupled Seasonal Data Assimilation of Sea Ice, Ocean, and Atmospheric Dynamics over the Last Millennium


Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data


Coupled Twiss Parameters Estimation from Turn-by-Turn Data


Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder


Coupled Variational Recurrent Collaborative Filtering


Coupled autoregressive active inference agents for control of multi-joint dynamical systems


Coupled generator decomposition for fusion of electro- and magnetoencephalography data


Coupled interactions at the ionic graphene/water interface


Coupled plasmon wave dynamics beyond anomalous reflection: phase gradient Copper metasurface for visible to the near infrared spectrum


Coupled regularization with multiple data discrepancies


Coupled-Cluster Calculations of Infinite Nuclear Matter in the Complete Basis Limit Using Bayesian Machine Learning


Couplformer:Rethinking Vision Transformer with Coupling Attention Map


Coupling Adaptive Batch Sizes with Learning Rates


Coupling Asymmetry Optimizes Collective Dynamics over Multiplex Networks


Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics Data


Coupling Deep Learning with Full Waveform Inversion


Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation


Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation


Coupling Intent and Action for Pedestrian Crossing Behavior Prediction


Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text


Coupling Microscopic Mobility and Mobile Network Emulation for Pedestrian Communication Applications


Coupling and selecting constraints in Bayesian optimization under uncertainties


Coupling approaches for classical linear elasticity and bond-based peridynamic models


Coupling finite and boundary element methods to solve the Poisson--Boltzmann equation for electrostatics in molecular solvation


Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space


Coupling physical understanding and statistical modeling to estimate ice jam flood frequency in the northern Peace-Athabasca Delta under climate change


Coupling stochastic EM and Approximate Bayesian Computation for parameter inference in state-space models


Coupling thermal evolution of planets and hydrodynamic atmospheric escape in MESA


Coupling without Communication and Drafter-Invariant Speculative Decoding


Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent


Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors


Couplings for Multinomial Hamiltonian Monte Carlo


Course Recommender Systems Need to Consider the Job Market


Course-Correction: Safety Alignment Using Synthetic Preferences


Course-Skill Atlas: A national longitudinal dataset of skills taught in U.S. higher education curricula


Court Judgement Labeling Using Topic Modeling and Syntactic Parsing


Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning


CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions


CovNet: Covariance Networks for Functional Data on Multidimensional Domains


Covariance Estimation and its Application in Large-Scale Online Controlled Experiments


Covariance Estimation from Compressive Data Partitions using a Projected Gradient-based Algorithm


Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization


Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities


Covariance Pooling For Facial Expression Recognition


Covariance Prediction via Convex Optimization


Covariance Regression for High Dimensional Neural Data via Graph


Covariance Supervised Principal Component Analysis


Covariance matrix testing in high dimension using random projections


Covariance models and Gaussian process regression for the wave equation. Application to related inverse problems


Covariance regression with random forests


Covariance-based Dissimilarity Measures Applied to Clustering Wide-sense Stationary Ergodic Processes


Covariance-based Space Regularization for Few-shot Class Incremental Learning


Covariance-based rational approximations of fractional SPDEs for computationally efficient Bayesian inference


Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method


Covariant Compositional Networks For Learning Graphs


Covariant spatio-temporal receptive fields for spiking neural networks


Covariate Adjustment in Bayesian Adaptive Randomized Controlled Trials


Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions


Covariate Regularized Community Detection in Sparse Graphs


Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach


Covariate balancing using the integral probability metric for causal inference


Covariate-Adjusted Functional Data Analysis for Structural Health Monitoring


Covariate-guided Bayesian mixture model for multivariate time series


Cover-separable Fixed Neural Network Steganography via Deep Generative Models


CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction


CoverHunter: Cover Song Identification with Refined Attention and Alignments


Coverage Analysis of Net Inscriptions in Coloured Petri Net Models


Coverage Error Optimal Confidence Intervals for Local Polynomial Regression


Coverage of an Environment Using Energy-Constrained Unmanned Aerial Vehicles


Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation


Coverage-based Example Selection for In-Context Learning


Coverage-centric Coreset Selection for High Pruning Rates


Covered Forest: Fine-grained generalization analysis of graph neural networks


Covering Rectilinear Polygons with Area-Weighted Rectangles


Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets


Covering radii of $3$-zonotopes and the shifted Lonely Runner Conjecture


Covid-19 Belgium: Extended SEIR-QD model with nursing homes and long-term scenarios-based forecasts


Covid-19 vaccine hesitancy and mega-influencers


Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers


CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image


CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients


CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Models


Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data


CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis


Coz: Finding Code that Counts with Causal Profiling


Cozie Apple: An iOS mobile and smartwatch application for environmental quality satisfaction and physiological data collection


CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG


CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping


CrOC: Cross-View Online Clustering for Dense Visual Representation Learning


Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation


Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings


Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors


CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections


CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models


CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks


CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack Segmentation


Cracking Double-Blind Review: Authorship Attribution with Deep Learning


Cracking the Black Box: Distilling Deep Sports Analytics


Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation


Cracking the Quantum Advantage threshold for Gaussian Boson Sampling


Cracking the Quantum Scaling Limit with Machine Learned Electron Densities


Cradle: Empowering Foundation Agents Towards General Computer Control


Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning


CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair


Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning


Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models


Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version)


Crafting Better Contrastive Views for Siamese Representation Learning


Crafting Customisable Characters with LLMs: Introducing SimsChat, a Persona-Driven Role-Playing Agent Framework


Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization


Crafting Heavy-Tails in Weight Matrix Spectrum without Gradient Noise


Crafting Imperceptible On-Manifold Adversarial Attacks for Tabular Data


Crafting In-context Examples according to LMs' Parametric Knowledge


Crafting Interpretable Embeddings by Asking LLMs Questions


Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning


Crafting desirable climate trajectories with RL explored socio-environmental simulations


Craftium: An Extensible Framework for Creating Reinforcement Learning Environments


Crafty: Efficient, HTM-Compatible Persistent Transactions


Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base


Cramming: Training a Language Model on a Single GPU in One Day


Cramér-Rao bound-informed training of neural networks for quantitative MRI


Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections


Craquelure as a Graph: Application of Image Processing and Graph Neural Networks to the Description of Fracture Patterns


Crash testing difference-smoothing algorithm on a large sample of simulated light curves from TDC1


CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace


Crashing with disorder: Reaching the precision limit with tensor-based wavefront shaping


Crater Morphology of Primordial Black Hole Impacts


Craw4LLM: Efficient Web Crawling for LLM Pretraining


Crawling in Rogue's dungeons with (partitioned) A3C


CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2


CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry


Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning


CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation


Creating Artificial Modalities to Solve RGB Liveness


Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation


Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations


Creating Hierarchical Dispositions of Needs in an Agent


Creating High Resolution Images with a Latent Adversarial Generator


Creating Interactive Visualizations of TopHat Programs


Creating Knowledge Graphs for Geographic Data on the Web


Creating Multi-Level Skill Hierarchies in Reinforcement Learning


Creating RESTful APIs over SPARQL endpoints using RAMOSE


Creating Realistic Power Distribution Networks using Interdependent Road Infrastructure


Creating Speech-to-Speech Corpus from Dubbed Series


Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++


Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos


Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report


Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding


Creating a Real-Time, Reproducible Event Dataset


Creating a dynamic database of finite groups


Creating a silver standard for patent simplification


Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI


Creating area level indices of behaviours impacting cancer in Australia with a Bayesian generalised shared component model


Creating boundaries along a synthetic frequency dimension


Creating non-reversible rejection-free samplers by rebalancing skew-balanced Markov jump processes


Creating optimal conditions for reproducible data analysis in R with 'fertile'


Creating synthetic energy meter data using conditional diffusion and building metadata


Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development


Creation and evaluation of timelines for longitudinal user posts


Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLM


Creative Agents: Empowering Agents with Imagination for Creative Tasks


Creative Diversity: Patterns in the Creative Habits of ~10,000 People


Creative Portraiture: Exploring Creative Adversarial Networks and Conditional Creative Adversarial Networks


Creative Problem Solving in Large Language and Vision Models -- What Would it Take?


Creative Wand: A System to Study Effects of Communications in Co-Creative Settings


Creative and Context-Aware Translation of East Asian Idioms with GPT-4


Creative and Correct: Requesting Diverse Code Solutions from AI Foundation Models


Creative divergent synthesis with generative models


CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis


CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis with Multimodal Diffusion


Creativity in AI: Progresses and Challenges


Creativity in social networks is enhanced by 'Goldilocks' dispersal of ideators' visibility


CredID: Credible Multi-Bit Watermark for Large Language Models Identification


Credal Two-Sample Tests of Epistemic Uncertainty


Credence: Augmenting Datacenter Switch Buffer Sharing with ML Predictions


Credible Intervals for Knowledge Graph Accuracy Estimation


Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images


Credible Sets of Phylogenetic Tree Topology Distributions


Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checking


Credit Assignment in Neural Networks through Deep Feedback Control


Cremona transformations of weighted projective planes, Zariski pairs, and rational cuspidal curves


CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and Optimization


CreoleVal: Multilingual Multitask Benchmarks for Creoles


CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation


CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation


CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching


CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition


Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions


Crime in Philadelphia: Bayesian Clustering with Particle Optimization


Crime in Proportions: Applying Compositional Data Analysis to European Crime Trends for 2022


Crises Do Not Cause Lower Short-Term Growth


Crisis Domain Adaptation Using Sequence-to-sequence Transformers


CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classification


CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization


CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics


CrisisViT: A Robust Vision Transformer for Crisis Image Classification


Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation


Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation


Criterion Collapse and Loss Distribution Control


Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation


CritiPrefill: A Segment-wise Criticality-based Approach for Prefilling Acceleration in LLMs


Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation


Critic-Guided Decision Transformer for Offline Reinforcement Learning


CriticBench: Benchmarking LLMs for Critique-Correct Reasoning


Critical Analysis of Mediterranean Sea Level Limit Cycles During the Messinian Salinity Crisis


Critical Considerations on Effort-aware Software Defect Prediction Metrics


Critical Dynamics and Cyclic Memory Retrieval in Non-reciprocal Hopfield Networks


Critical Influence of Overparameterization on Sharpness-aware Minimization


Critical Learning Periods Emerge Even in Deep Linear Networks


Critical Learning Periods for Multisensory Integration in Deep Networks


Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss


Critical Questions Generation: Motivation and Challenges


Critical Review of BugSwarm for Fault Localization and Program Repair


Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects


Critical Switching in Globally Attractive Chimeras


Critical Temperature Prediction for a Superconductor: A Variational Bayesian Neural Network Approach


Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length?


Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability


Critical Window Variable Selection for Mixtures: Estimating the Impact of Multiple Air Pollutants on Stillbirth


Critical analysis on the reproducibility of visual quality assessment using deep features


Critical concrete scenario generation using scenario-based falsification


Critical drift in a neuro-inspired adaptive network


Critical initialisation for deep signal propagation in noisy rectifier neural networks


Critical review of conformational B-cell epitope prediction methods


Critical scalarization and descalarization of black holes in a generalized scalar-tensor theory


Critical weaknesses in shielding strategies for COVID-19


Critical-Questions-of-Thought: Steering LLM reasoning with Argumentative Querying


Criticality in an imidazolium ionic liquid fully wetting a sapphire support


Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models


CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation


CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data


CroCoDai: A Stablecoin for Cross-Chain Commerce


CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization


CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning


CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking


Croc: Pretraining Large Multimodal Models with Cross-Modal Comprehension


Croissant: A Metadata Format for ML-Ready Datasets


CroissantLLM: A Truly Bilingual French-English Language Model


Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations


Crop Height and Plot Estimation for Phenotyping from Unmanned Aerial Vehicles using 3D LiDAR


Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola using a DCNN Augmented with Handcrafted Texture Features


Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series


Crop and Couple: cardiac image segmentation using interlinked specialist networks


Crop identification using deep learning on LUCAS crop cover photos


Crop mapping from image time series: deep learning with multi-scale label hierarchies


CropGym: a Reinforcement Learning Environment for Crop Management


CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping


Cross Attention Based Style Distribution for Controllable Person Image Synthesis


Cross Attention-guided Dense Network for Images Fusion


Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition


Cross Copy Network for Dialogue Generation


Cross DQN: Cross Deep Q Network for Ads Allocation in Feed


Cross Device Matching for Online Advertising with Neural Feature Ensembles : First Place Solution at CIKM Cup 2016


Cross Domain Object Detection by Target-Perceived Dual Branch Distillation


Cross Domain Robot Imitation with Invariant Representation


Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages


Cross Modal Data Discovery over Structured and Unstructured Data Lakes


Cross Modal Distillation for Supervision Transfer


Cross Modal Focal Loss for RGBD Face Anti-Spoofing


Cross Modal Retrieval with Querybank Normalisation


Cross Modal Transformer: Towards Fast and Robust 3D Object Detection


Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer


Cross Pairwise Ranking for Unbiased Item Recommendation


Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle


Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation


Cross Resolution Encoding-Decoding For Detection Transformers


Cross Sections and Inelasticity Distributions of High-Energy Neutrino Deep Inelastic Scattering


Cross Spectral Image Reconstruction Using a Deep Guided Neural Network


Cross Task Neural Architecture Search for EEG Signal Classifications


Cross Temporal Recurrent Networks for Ranking Question Answer Pairs


Cross Tensor Approximation for Image and Video Completion


Cross Validation for Correlated Data in Regression and Classification Models, with Applications to Deep Learning


Cross View Fusion for 3D Human Pose Estimation


Cross and Learn: Cross-Modal Self-Supervision


Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation


Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion


Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration


Cross, Dwell, or Pinch: Designing and Evaluating Around-Device Selection Methods for Unmodified Smartwatches


Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation


Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings


Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment


Cross-Architecture Self-supervised Video Representation Learning


Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution


Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models


Cross-Attention Transformer for Video Interpolation


Cross-Attention Watermarking of Large Language Models


Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution


Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation


Cross-Camera Convolutional Color Constancy


Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes


Cross-Camera Human Motion Transfer by Time Series Analysis


Cross-Camera Trajectories Help Person Retrieval in a Camera Network


Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias


Cross-Context Backdoor Attacks against Graph Prompt Learning


Cross-Covariate Gait Recognition: A Benchmark


Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks


Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting Operation


Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos


Cross-Descriptor Visual Localization and Mapping


Cross-Device Tracking: Matching Devices and Cookies


Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages


Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages


Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation


Cross-Domain Adaptive Teacher for Object Detection


Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs


Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night


Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation


Cross-Domain Conditional Diffusion Models for Time Series Imputation


Cross-Domain Continual Learning via CLAMP


Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations


Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text


Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical Images


Cross-Domain Document Object Detection: Benchmark Suite and Method


Cross-Domain Ensemble Distillation for Domain Generalization


Cross-Domain Evaluation of POS Taggers: From Wall Street Journal to Fandom Wiki


Cross-Domain Face Synthesis using a Controllable GAN


Cross-Domain Few-Shot Classification via Adversarial Task Augmentation


Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation


Cross-Domain Few-Shot Graph Classification


Cross-Domain Few-Shot Learning via Adaptive Transformer Networks


Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector


Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining


Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation


Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis


Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment


Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation


Cross-Domain Identification for Thermal-to-Visible Face Recognition


Cross-Domain Image Matching with Deep Feature Maps


Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization


Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers


Cross-Domain Policy Adaptation by Capturing Representation Mismatch


Cross-Domain Policy Transfer by Representation Alignment via Multi-Domain Behavioral Cloning


Cross-Domain Product Representation Learning for Rich-Content E-Commerce


Cross-Domain Recommendation Meets Large Language Models


Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck


Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs


Cross-Domain Separable Translation Network for Multimodal Image Change Detection


Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation


Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation


Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment


Cross-Enhancement Transformer for Action Segmentation


Cross-Entropy Attacks to Language Models via Rare Event Simulation


Cross-Entropy Method Variants for Optimization


Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images


Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection


Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models


Cross-Gradient Aggregation for Decentralized Learning from Non-IID data


Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation


Cross-Image Relational Knowledge Distillation for Semantic Segmentation


Cross-Inlining Binary Function Similarity Detection


Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity


Cross-Layer Deanonymization Methods in the Lightning Protocol


Cross-Layer Distillation with Semantic Calibration


Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images


Cross-Layer Retrospective Retrieving via Layer Attention


Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification


Cross-Lingual Abstractive Summarization with Limited Parallel Resources


Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs


Cross-Lingual BERT Contextual Embedding Space Mapping with Isotropic and Isometric Conditions


Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing


Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact


Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models


Cross-Lingual Cross-Age Group Adaptation for Low-Resource Elderly Speech Emotion Recognition


Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning


Cross-Lingual Document Retrieval with Smooth Learning


Cross-Lingual Knowledge Transfer for Clinical Phenotyping


Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish


Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce


Cross-Lingual Machine Reading Comprehension


Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models


Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers


Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension


Cross-Lingual Representation Alignment Through Contrastive Image-Caption Tuning


Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages


Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus


Cross-Lingual Speaker Identification Using Distant Supervision


Cross-Lingual Speech Emotion Recognition: Humans vs. Self-Supervised Models


Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections


Cross-Lingual Text Classification of Transliterated Hindi and Malayalam


Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher


Cross-Lingual Training for Automatic Question Generation


Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets


Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking


Cross-Lingual Transfer of Cognitive Processing Complexity


Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation


Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models


Cross-Lingual Word Embeddings for Turkic Languages


Cross-Lingual and Cross-Cultural Variation in Image Descriptions


Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios


Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?


Cross-Linguistic Syntactic Evaluation of Word Prediction Models


Cross-Loss Influence Functions to Explain Deep Network Representations


Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings


Cross-Media Similarity Evaluation for Web Image Retrieval in the Wild


Cross-Modal Adapter for Text-Video Retrieval


Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection


Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation


Cross-Modal Causal Intervention for Medical Report Generation


Cross-Modal Coherence for Text-to-Image Retrieval


Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting


Cross-Modal Contrastive Learning for Robust Reasoning in VQA


Cross-Modal Contrastive Learning for Text-to-Image Generation


Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions


Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer


Cross-Modal Fine-Tuning: Align then Refine


Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval


Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition


Cross-Modal Graph with Meta Concepts for Video Captioning


Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval


Cross-Modal Information-Guided Network using Contrastive Learning for Point Cloud Registration


Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos


Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images


Cross-Modal Learning for Anomaly Detection in Complex Industrial Process: Methodology and Benchmark


Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space


Cross-Modal Retrieval for Motion and Text via DopTriple Loss


Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions


Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering


Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds


Cross-Modal Self-Training: Aligning Images and Pointclouds to Learn Classification without Labels


Cross-Modal Spherical Aggregation for Weakly Supervised Remote Sensing Shadow Removal


Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video Detection


Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics


Cross-Modal Translation and Alignment for Survival Analysis


Cross-Modal and Hierarchical Modeling of Video and Text


Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval


Cross-Modal learning for Audio-Visual Video Parsing


Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation


Cross-Modality Fusion Transformer for Multispectral Object Detection


Cross-Modality Image Registration using a Training-Time Privileged Third Modality


Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection


Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion


Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification


Cross-Modality Relevance for Reasoning on Language and Vision


Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations


Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs


Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection


Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding


Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition


Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment


Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving


Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling


Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives


Cross-Platform Social Dynamics: An Analysis of ChatGPT and COVID-19 Vaccine Conversations


Cross-Problem Learning for Solving Vehicle Routing Problems


Cross-Problem Solving for Network Optimization: Is Problem-Aware Learning the Key?


Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments


Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections


Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures


Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem


Cross-Region Building Counting in Satellite Imagery using Counting Consistency


Cross-Representation Transferability of Adversarial Attacks: From Spectrograms to Audio Waveforms


Cross-Resolution Flow Propagation for Foveated Video Super-Resolution


Cross-Resolution Land Cover Classification Using Outdated Products and Transformers


Cross-Resolution Learning for Face Recognition


Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection


Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding


Cross-Scale Cost Aggregation for Stereo Matching


Cross-Scale Internal Graph Neural Network for Image Super-Resolution


Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing


Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-Resolution


Cross-Self KV Cache Pruning for Efficient Vision-Language Inference


Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection


Cross-Shape Attention for Part Segmentation of 3D Point Clouds


Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment


Cross-Silo Heterogeneous Model Federated Multitask Learning


Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data


Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields


Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour


Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection


Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem


Cross-Speaker Encoding Network for Multi-Talker Speech Recognition


Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney Pathology


Cross-Spectral Analysis of Bivariate Graph Signals


Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and Desnowing


Cross-Study Replicability in Cluster Analysis


Cross-Task Affinity Learning for Multitask Dense Scene Predictions


Cross-Task Defense: Instruction-Tuning LLMs for Content Safety


Cross-Task Generalization via Natural Language Crowdsourcing Instructions


Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition


Cross-Technology Generalization in Synthesized Speech Detection: Evaluating AST Models with Modern Voice Generators


Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches


Cross-Thought for Sentence Encoder Pre-training


Cross-Tool and Cross-Behavior Perceptual Knowledge Transfer for Grounded Object Recognition


Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL


Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech


Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation


Cross-View Consistency Regularisation for Knowledge Distillation


Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN


Cross-View Graph Consistency Learning for Invariant Graph Representations


Cross-View Hierarchy Network for Stereo Image Super-Resolution


Cross-View Image Sequence Geo-localization


Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training


Cross-View Referring Multi-Object Tracking


Cross-attention Inspired Selective State Space Models for Target Sound Extraction


Cross-boundary Behavioural Reprogrammability Reveals Evidence of Pervasive Universality


Cross-category Video Highlight Detection via Set-based Learning


Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank


Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning


Cross-context News Corpus for Protest Events related Knowledge Base Construction


Cross-corpus Readability Compatibility Assessment for English Texts


Cross-correlation of the astrophysical gravitational-wave background with galaxy clustering


Cross-correlation of the thermal Sunyaev--Zel'dovich and CMB lensing signals in Planck PR4 data with robust CIB decontamination


Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data


Cross-dataset COVID-19 Transfer Learning with Cough Detection, Cough Segmentation, and Data Augmentation


Cross-dataset Person Re-Identification Using Similarity Preserved Generative Adversarial Networks


Cross-diffusion induced instability on networks


Cross-dimensional Weighting for Aggregated Deep Convolutional Features


Cross-dimensional transfer learning in medical image segmentation with deep learning


Cross-document Event Coreference Search: Task, Dataset and Modeling


Cross-document Event Identity via Dense Annotation


Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning


Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies


Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomography


Cross-domain Detection via Graph-induced Prototype Alignment


Cross-domain Generalization for AMR Parsing


Cross-domain Multi-modal Few-shot Object Detection via Rich Text


Cross-domain Neural Pitch and Periodicity Estimation


Cross-domain Random Pre-training with Prototypes for Reinforcement Learning


Cross-domain Retrieval in the Legal and Patent Domains: a Reproducibility Study


Cross-domain Semantic Parsing via Paraphrasing


Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching


Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework


Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach


Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers


Cross-domain error minimization for unsupervised domain adaptation


Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data


Cross-fertilising extra gauge boson searches at the LHC


Cross-functional Analysis of Generalisation in Behavioural Learning


Cross-head Supervision for Crowd Counting with Noisy Annotations


Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation


Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced Ensemble


Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis


Cross-inhibition leads to group consensus despite the presence of strongly opinionated minorities and asocial behaviour


Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph


Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach


Cross-layer framework and optimization for efficient use of the energy budget of IoT Nodes


Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation


Cross-lingual AMR Aligner: Paying Attention to Cross-Attention


Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!


Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing


Cross-lingual COVID-19 Fake News Detection


Cross-lingual Contextualized Phrase Retrieval


Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation


Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages


Cross-lingual Distillation for Text Classification


Cross-lingual Document Retrieval using Regularized Wasserstein Distance


Cross-lingual Editing in Multilingual Language Models


Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding


Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation


Cross-lingual Inference with A Chinese Entailment Graph


Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network


Cross-lingual Named Entity Corpus for Slavic Languages


Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges


Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study


Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages


Cross-lingual Retrieval for Iterative Self-Supervised Training


Cross-lingual Spoken Language Understanding with Regularized Representation Alignment


Cross-lingual Text Classification with Heterogeneous Graph Neural Network


Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource Language


Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity


Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph


Cross-lingual Transfer of Reward Models in Multilingual Alignment


Cross-lingual Visual Verb Sense Disambiguation


Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation


Cross-linguistic differences and similarities in image descriptions


Cross-modal Active Complementary Learning with Self-refining Correspondence


Cross-modal Attention for MRI and Ultrasound Volume Registration


Cross-modal Audio-visual Co-learning for Text-independent Speaker Verification


Cross-modal Causal Relation Alignment for Video Question Grounding


Cross-modal Cognitive Consensus guided Audio-Visual Segmentation


Cross-modal Consistency Learning with Fine-grained Fusion Network for Multimodal Fake News Detection


Cross-modal Contrastive Learning for Multimodal Fake News Detection


Cross-modal Contrastive Learning for Speech Translation


Cross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment Retrieval


Cross-modal Embeddings for Video and Audio Retrieval


Cross-modal Information Flow in Multimodal Large Language Models


Cross-modal Knowledge Distillation for Vision-to-Sensor Action Recognition


Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation


Cross-modal Learning for Image-Guided Point Cloud Shape Completion


Cross-modal Map Learning for Vision and Language Navigation


Cross-modal Memory Networks for Radiology Report Generation


Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers


Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks


Cross-modal Prototype Driven Network for Radiology Report Generation


Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation


Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation


Cross-modal feature fusion for robust point cloud registration with ambiguous geometry


Cross-modal registration using point clouds and graph-matching in the context of correlative microscopies


Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles


Cross-modal tumor segmentation using generative blending augmentation and self training


Cross-modality Data Augmentation for End-to-End Sign Language Translation


Cross-modality Information Check for Detecting Jailbreaking in Multimodal Large Language Models


Cross-model Control: Improving Multiple Large Language Models in One-time Training


Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification


Cross-organ all-in-one parallel compressed sensing magnetic resonance imaging


Cross-platform programming model for many-core lattice Boltzmann simulations


Cross-population coupling of neural activity based on Gaussian process current source densities


Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution


Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network


Cross-scale covariance for material property prediction


Cross-silo Federated Learning with Record-level Personalized Differential Privacy


Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction


Cross-subject dual-domain fusion network with task-related and task-discriminant component analysis enhancing one-shot SSVEP classification


Cross-task weakly supervised learning from instructional videos


Cross-temporal probabilistic forecast reconciliation: Methodological and practical issues


Cross-validation Confidence Intervals for Test Error


Cross-validation failure: small sample sizes lead to large error bars


Cross-validation for change-point regression: pitfalls and solutions


Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDA


Cross-validatory model selection for Bayesian autoregressions with exogenous regressors


Cross-video Identity Correlating for Person Re-identification Pre-training


Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification


Cross-view Geo-localization via Learning Disentangled Geometric Layout Correspondence


Cross-view Masked Diffusion Transformers for Person Image Synthesis


Cross-view Semantic Alignment for Livestreaming Product Recognition


Cross-view Transformers for real-time Map-view Semantic Segmentation


Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans


CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition


CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding


CrossBeam: Learning to Search in Bottom-Up Program Synthesis


CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues


CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation


CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation


CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection


CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network


CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP


CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation


CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approach


CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction


CrossIn: An Efficient Instruction Tuning Approach for Cross-Lingual Knowledge Alignment


CrossKD: Cross-Head Knowledge Distillation for Object Detection


CrossLMM: Decoupling Long Video Sequences from LMMs via Dual Cross-Attention Mechanisms


CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables


CrossLink: A Decentralized Framework for Secure Cross-Chain Smart Contract Execution


CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition


CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation


CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation


CrossNet: Leveraging Global, Cross-Band, Narrow-Band, and Positional Encoding for Single- and Multi-Channel Speaker Separation


CrossNorm and SelfNorm for Generalization under Distribution Shifts


CrossOver: 3D Scene Cross-Modal Alignment


CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding


CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity


CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection


CrossSinger: A Cross-Lingual Multi-Singer High-Fidelity Singing Voice Synthesizer Trained on Monolingual Singers


CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs


CrossTrainer: Practical Domain Adaptation with Loss Reweighting


CrossVIT-augmented Geospatial-Intelligence Visualization System for Tracking Economic Development Dynamics


CrossWalk: Fairness-enhanced Node Representation Learning


CrossWeigh: Training Named Entity Tagger from Imperfect Annotations


CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving


CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models


Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks


Crossing Boundaries: Leveraging Semantic Divergences to Explore Cultural Novelty in Cooking Recipes


Crossing Language Borders: A Pipeline for Indonesian Manhwa Translation


Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting


Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu


Crossing the Linguistic Causeway: Ethnonational Differences on Soundscape Attributes in Bahasa Melayu


Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting


Crossing-Preserving Geodesic Tracking on Spherical Images


Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models


Crosslingual Document Embedding as Reduced-Rank Ridge Regression


Crosslingual Reasoning through Test-Time Scaling


Crosslingual Topic Modeling with WikiPDA


Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality


Crossmodal ASR Error Correction with Discrete Speech Units


Crossmodal Language Grounding in an Embodied Neurocognitive Model


Crossover Learning for Fast Online Video Instance Segmentation


Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability


Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models


Crosstalk in image plane beam combination for optical interferometers


Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning


CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models


Crowd Counting via Perspective-Guided Fractional-Dilation Convolution


Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss


Crowd Intelligence for Early Misinformation Prediction on Social Media


Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges


Crowd counting via scale-adaptive convolutional neural network


Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filter


Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes


CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model


CrowdCache: A Decentralized Game-Theoretic Framework for Mobile Edge Content Sharing


CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media


CrowdCounter: A benchmark type-specific multi-target counterspeech dataset


CrowdFix: An Eyetracking Dataset of Real Life Crowd Videos


CrowdGuard: Federated Backdoor Detection in Federated Learning


CrowdHub: Extending crowdsourcing platforms for the controlled evaluation of tasks designs


CrowdRec: 3D Crowd Reconstruction from Single Color Images


CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom


CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio Transcription


CrowdSplat: Exploring Gaussian Splatting For Crowd Rendering


CrowdSurfer: Sampling Optimization Augmented with Vector-Quantized Variational AutoEncoder for Dense Crowd Navigation


CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward


Crowding Reveals Fundamental Differences in Local vs. Global Processing in Humans and Machines


Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia


Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning Approach


Crowdsourced Collective Entity Resolution with Relational Match Propagation


Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?


Crowdsourced reviews reveal substantial disparities in public perceptions of parking


Crowdsourcing Airway Annotations in Chest Computed Tomography Images


Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph


Crowdsourcing Ground Truth for Medical Relation Extraction


Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition


Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation


Crowdsourcing MUSHRA Tests in the Age of Generative Speech Technologies: A Comparative Analysis of Subjective and Objective Testing Methods


Crowdsourcing Question-Answer Meaning Representations


Crowdsourcing and Evaluating Text-Based Audio Retrieval Relevances


Crowdsourcing for Beyond Polarity Sentiment Analysis A Pure Emotion Lexicon


Crowdsourcing open citations with CROCI - An analysis of the current status of open citations, and a proposal


Crucial Feature Capture and Discrimination for Limited Training Data SAR ATR


Crucible: Graphical Test Cases for Alloy Models


CrudeOilNews: An Annotated Crude Oil News Corpus for Event Extraction


Cruising Queer HCI on the DL: A Literature Review of LGBTQ+ People in HCI


Crust Macrofracturing as the Evidence of the Last Deglaciation


Crustal properties of a neutron star within an effective relativistic mean-field model


Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes


Cryo-RALib -- a modular library for accelerating alignment in cryo-EM


Cryo-forum: A framework for orientation recovery with uncertainty measure with the application in cryo-EM image analysis


CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images


CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM


CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images


CryoSAMU: Enhancing 3D Cryo-EM Density Maps of Protein Structures at Intermediate Resolution with Structure-Aware Multimodal U-Nets


CryptSan: Leveraging ARM Pointer Authentication for Memory Safety in C/C++


Cryptanalysis of a code-based full-time signature


Cryptanalytic Extraction of Neural Network Models


Cryptanalyzing an Image Encryption Algorithm Underpinned by 2D Lag-Complex Logistic Map


Cryptic Bytes: WebAssembly Obfuscation for Evading Cryptojacking Detection


CrypticBio: A Large Multimodal Dataset for Visually Confusing Biodiversity


CryptoAnalytics: Cryptocoins Price Forecasting with Machine Learning Techniques


CryptoFormalEval: Integrating LLMs and Formal Verification for Automated Cryptographic Protocol Vulnerability Detection


CryptoGuard: High Precision Detection of Cryptographic Vulnerabilities in Massive-sized Java Projects


CryptoImg: Privacy Preserving Processing Over Encrypted Images


CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction


CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators


CryptoTL: Private, Efficient and Secure Transfer Learning


CryptoX : Compositional Reasoning Evaluation of Large Language Models


Cryptocurrencies in the Balance Sheet: Insights from (Micro)Strategy -- Bitcoin Interactions


Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models


Cryptographic Primitives based on Compact Knapsack Problem


Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language


CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials


CrysMMNet: Multimodal Representation for Crystal Property Prediction


Crystal Ball: A Simple Model for Phase Transitions on a Classical Spherical Lattice


Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties


Crystal Hypergraph Convolutional Networks


Crystal Structure Generation with Autoregressive Large Language Modeling


Crystal Structure Prediction by Joint Equivariant Diffusion


Crystal Toolkit: A Web App Framework to Improve Usability and Accessibility of Materials Science Research Algorithms


Crystal structure discrimination based on a single atom speed dynamics


Crystal-LSBO: Automated Design of De Novo Crystals with Latent Space Bayesian Optimization


Crystal: Introspective Reasoners Reinforced with Self-Feedback


CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems


CrystalFlow: A Flow-Based Generative Model for Crystalline Materials


CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks


CsFEVER and CTKFacts: Acquiring Czech data for fact verification


CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation


Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL


Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion


Ctrl-VIO: Continuous-Time Visual-Inertial Odometry for Rolling Shutter Cameras


CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer


CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning


CuClarabel: GPU Acceleration for a Conic Optimization Solver


CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts


CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution


CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems


CuTS: Customizable Tabular Synthetic Data Generation


CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers


CuXASNet: Rapid and Accurate Prediction of Copper L-edge X-Ray Absorption Spectra Using Machine Learning


CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals


CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation


CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining


CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System


Cubes3D: Neural Network based Optical Flow in Omnidirectional Image Scenes


Cubic NK-SVD: An Algorithm for Designing Parametric Dictionary in Frequency Estimation


Cubic and quartic points on modular curves using generalised symmetric Chabauty


Cubic function fields with prescribed ramification


Cuckoo Heavy Keeper and the balancing act of maintaining heavy-hitters in stream processing


Cuckoo Trie: Exploiting Memory-Level Parallelism for Efficient DRAM Indexing


Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest


Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads


Cue Point Estimation using Object Detection


Cue: A Fast and Flexible Photoionization Emulator for Modeling Nebular Emission Powered By Almost Any Ionizing Source


Cueless EEG imagined speech for subject identification: dataset and benchmarks


Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating


Cuing Without Sharing: A Federated Cued Speech Recognition Framework via Mutual Knowledge Distillation


CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis


CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation


Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island Coevolution


Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions


Cultural Heritage 3D Reconstruction with Diffusion Networks


Cultural Learning-Based Culture Adaptation of Language Models


Cultural evolution in populations of Large Language Models


Cultural transmission of move choice in chess


Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy


Culture-inspired Multi-modal Color Palette Generation and Colorization: A Chinese Youth Subculture Case


CultureBERT: Measuring Corporate Culture With Transformer-Based Language Models


CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions


CultureLLM: Incorporating Cultural Differences into Large Language Models


CulturePark: Boosting Cross-cultural Understanding in Large Language Models


Cultures as networks of cultural traits: A unifying framework for measuring culture and cultural distances


Cumulant-based approximation for fast and efficient prediction for species distribution


Cumulative Advantage of Brokerage in Academia


Cumulative Assessment for Urban 3D Modeling


Cumulative Hazard Function Based Efficient Multivariate Temporal Point Process Learning


Cumulative Incidence Function Estimation Based on Population-Based Biobank Data


Cumulative Quality Modeling for HTTP Adaptive Streaming


Cumulative Reasoning with Large Language Models


Cumulative Spatial Knowledge Distillation for Vision Transformers


Cumulative culture spontaneously emerges in artificial navigators who are social and memory-guided


Cumulative deviation of a subpopulation from the full population


Cumulative differences between paired samples


Cumulative differences between subpopulations versus body mass index in the Behavioral Risk Factor Surveillance System data


Cumulo: A Dataset for Learning Cloud Classes


Cup Curriculum: Curriculum Learning on Model Capacity


CupCleaner: A Data Cleaning Approach for Comment Updating


Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars


Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems


Curation and Analysis of MIMICEL -- An Event Log for MIMIC-IV Emergency Department


CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation


Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing


CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction


Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics


Curiosity Driven Exploration of Learned Disentangled Goal Spaces


Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy


Curiosity Driven Multi-agent Reinforcement Learning for 3D Game Testing


Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal Agent


Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design


Curiosity as filling, compressing, and reconfiguring knowledge networks


Curiosity-Driven Exploration via Latent Bayesian Surprise


Curiosity-Driven Multi-Criteria Hindsight Experience Replay


Curiosity-Driven Reinforcement Learning based Low-Level Flight Control


Curiosity-Driven Reinforcement Learning from Human Feedback


Curiosity-driven Red-teaming for Large Language Models


Curious Exploration and Return-based Memory Restoration for Deep Reinforcement Learning


Curious Replay for Model-based Adaptation


CuriousLLM: Elevating Multi-Document QA with Reasoning-Infused Knowledge Graph Prompting


Curiously Effective Features for Image Quality Prediction


Curls & Whey: Boosting Black-Box Adversarial Attacks


Current Flow Group Closeness Centrality for Complex Networks


Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity


Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification


Current and future neutrino limits on the abundance of primordial black holes


Current state and prospects of R-packages for the design of experiments


Current-Based Impedance Control for Interacting with Mobile Manipulators


Currents and finite elements as tools for shape space


CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models


Curricular Contrastive Regularization for Physics-aware Single Image Dehazing


Curricular Object Manipulation in LiDAR-based Object Detection


Curricular SincNet: Towards Robust Deep Speaker Recognition by Emphasizing Hard Samples in Latent Space


Curricular Subgoals for Inverse Reinforcement Learning


CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition


Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation


Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources


Curriculum Design for Teaching via Demonstrations: Theory and Applications


Curriculum Direct Preference Optimization for Diffusion and Consistency Models


Curriculum Is More Influential Than Haptic Information During Reinforcement Learning of Object Manipulation Against Gravity


Curriculum Knowledge Switching for Pancreas Segmentation


Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning


Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition


Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking


Curriculum Learning for Cumulative Return Maximization


Curriculum Learning for Dense Retrieval Distillation


Curriculum Learning for Recurrent Video Object Segmentation


Curriculum Learning for Safe Mapless Navigation


Curriculum Meta-Learning for Few-shot Classification


Curriculum Negative Mining For Temporal Networks


Curriculum Prompting Foundation Models for Medical Image Segmentation


Curriculum RL meets Monte Carlo Planning: Optimization of a Real World Container Management Problem


Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation


Curriculum Temperature for Knowledge Distillation


Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty


Curriculum learning for language modeling


Curriculum learning for multilevel budgeted combinatorial problems


Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation


Curriculum-Based Imitation of Versatile Skills


Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A Reference-free Design


Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation


Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs


Curriculum-based Asymmetric Multi-task Reinforcement Learning


Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration


Curriculum-scheduled Knowledge Distillation from Multiple Pre-trained Teachers for Multi-domain Sequential Recommendation


Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation


CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement


Curse of High Dimensionality Issue in Transformer for Long-context Modeling


CursorCore: Assist Programming through Aligning Anything


CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature Denoiser


Curvature Augmented Manifold Embedding and Learning


Curvature Corrected Nonnegative Manifold Data Factorization


Curvature Correlators in Nonperturbative 2D Lorentzian Quantum Gravity


Curvature Graph Generative Adversarial Networks


Curvature Sets Over Persistence Diagrams


Curvature Tuning: Provable Training-free Model Steering From a Single Parameter


Curvature and Torsion estimation of 3D functional data: A geometric approach to build the mean shape under the Frenet Serret framework


Curvature corrected tangent space-based approximation of manifold-valued data


Curvature dependences of wave propagation in reaction-diffusion models


Curvature in chemotaxis: A model for ant trail pattern formation


Curvature regularization for Non-line-of-sight Imaging from Under-sampled Data


Curvature tension: evidence for a closed universe


Curvature tensor of smoothable Alexandrov spaces


Curvature-Constrained Vector Field for Motion Planning of Nonholonomic Robots


Curvature-based Feature Selection with Application in Classifying Electronic Health Records


Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction


Curvature-guided dynamic scale networks for Multi-view Stereo


Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory


Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models


Curve classes on conic bundle threefolds and applications to rationality


Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction


CurveCloudNet: Processing Point Clouds with 1D Structure


Curved-crease origami for morphing metamaterials


Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images


Curvit: An open-source Python package to generate light curves from UVIT data


CusADi: A GPU Parallelization Framework for Symbolic Expressions and Optimal Control


CusConcept: Customized Visual Concept Decomposition with Diffusion Models


Cusps of hyperbolic 4-manifolds and rational homology spheres


Cuspy dark matter density profiles in massive dwarf galaxies


CustOmics: A versatile deep-learning based strategy for multi-omics integration


Custom Loss Functions in Fuel Moisture Modeling


Custom Non-Linear Model Predictive Control for Obstacle Avoidance in Indoor and Outdoor Environments


Custom Sine Waves Are Enough for Imitation Learning of Bipedal Gaits with Different Styles


Custom nonlinearity profile for integrated quantum light sources


CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities


CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training


Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling


Customized Generation Reimagined: Fidelity and Editability Harmonized


Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning


Customized Segment Anything Model for Medical Image Segmentation


Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction


Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models


Customizing Language Models with Instance-wise LoRA for Sequential Recommendation


Customizing Object Detectors for Indoor Robots


Customizing Synthetic Data for Data-Free Student Learning


Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning


Cut Your Losses in Large-Vocabulary Language Models


Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning


Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation


Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data Generation


Cut-matching Games for Generalized Hypergraph Ratio Cuts


CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method


Cute-Lock: Behavioral and Structural Multi-Key Logic Locking Using Time Base Keys


Cutting Away the Confusion From Crowdtesting


Cutting Medusa's Path -- Tackling Kill-Chains with Quantum Computing


Cutting Plane Algorithms are Exact for Euclidean Max-Sum Problems


Cutting Plane Approaches for the Robust Kidney Exchange Problem


Cutting Plane Selection with Analytic Centers and Multiregression


Cutting Quantum Circuits to Run on Quantum and Classical Platforms


Cutting Through the Noise: Boosting LLM Performance on Math Word Problems


Cutting and shuffling a hemisphere: non-orthogonal axes


Cutting multi-control quantum gates with ZX calculus


Cutting planes for signomial programming


Cutting the Double Loop: Theory and Algorithms for Reliability-Based Design Optimization with Statistical Uncertainty


Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination


Cuvis.Ai: An Open-Source, Low-Code Software Ecosystem for Hyperspectral Processing and Classification


CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector


CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences


CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection


CxGBERT: BERT meets Construction Grammar


CyCLIP: Cyclic Contrastive Language-Image Pretraining


CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers


CyNER: A Python Library for Cybersecurity Named Entity Recognition


CyNetDiff -- A Python Library for Accelerated Implementation of Network Diffusion Models


CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models


CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation


CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents


Cyber Food Swamps: Investigating the Impacts of Online-to-Offline Food Delivery Platforms on Healthy Food Choices


Cyber Network Resilience against Self-Propagating Malware Attacks


Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets


Cyber risk and the cross-section of stock returns


Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models


Cyber-Physical Defense in the Quantum Era


CyberGym: Evaluating AI Agents' Cybersecurity Capabilities with Real-World Vulnerabilities at Scale


CyberLLMInstruct: A New Dataset for Analysing Safety of Fine-Tuned LLMs Using Cyber Security Data


CyberMentor: AI Powered Learning Tool Platform to Address Diverse Student Needs in Cybersecurity Education


CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models


CyberV: Cybernetics for Test-time Scaling in Video Understanding


CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection


Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations


Cyberbullying Detection with Fairness Constraints


Cybersecurity Knowledge and Skills Taught in Capture the Flag Challenges


Cybersecurity Playbook Sharing with STIX 2.1


Cybersecurity Training for Users of Remote Computing


Cybersecurity in the Smart Grid: Practitioners' Perspective


Cyberthreat Detection from Twitter using Deep Neural Networks


Cybonto: Towards Human Cognitive Digital Twins for Cybersecurity


CycDA: Unsupervised Cycle Domain Adaptation from Image to Video


Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability


Cycle Index Polynomials and Generalized Quantum Separability Tests


Cycle Invariant Positional Encoding for Graph Representation Learning


Cycle Mutation: Evolving Permutations via Cycle Induction


Cycle Representation Learning for Inductive Relation Prediction


Cycle Self-Training for Domain Adaptation


Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasets


Cycle-consistent Conditional Adversarial Transfer Networks


Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4


Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding


CycleBNN: Cyclic Precision Training in Binary Neural Networks


CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis


CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation


CycleFormer : TSP Solver Based on Language Modeling


CycleGANAS: Differentiable Neural Architecture Search for CycleGAN


CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning


CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision


CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data


CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns


CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation


CycleTrajectory: An End-to-End Pipeline for Enriching and Analyzing GPS Trajectories to Understand Cycling Behavior and Environment


CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer


CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation


Cycles and Cuts in Supersingular L-Isogeny Graphs


Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PET


Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation


Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection


Cyclic Coordinate Dual Averaging with Extrapolation


Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation


Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization


Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction


Cyclic image generation using chaotic dynamics


Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection


Cyclic-Shift Sparse Kronecker Tensor Classifier for Signal-Region Detection in Neuroimaging


Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing


Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos


Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning


Cyclically Disentangled Feature Translation for Face Anti-spoofing


Cyclically Equivariant Neural Decoders for Cyclic Codes


Cyclops: Open Platform for Scale Truck Platooning


Cygrid: A fast Cython-powered convolution-based gridding module for Python


Cylin-Painting: Seamless {360\textdegree} Panoramic Image Outpainting and Beyond


CylinderTag: An Accurate and Flexible Marker for Cylinder-Shape Objects Pose Estimation Based on Projective Invariants


CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era


Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images


CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning


CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++


CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++


CzSL: Learning from citizen science, experts and unlabelled data in astronomical image classification


Czech Dataset for Cross-lingual Subjectivity Classification


D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models


D$^2$-World: An Efficient World Model through Decoupled Dynamic Flow


D$^2$LV: A Data-Driven and Local-Verification Approach for Image Copy Detection


D$^2$ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition


D$^2$TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization


D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance


D$^4$-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On


D$^{\bf{3}}$: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos


D'ARTAGNAN: Counterfactual Video Generation


D*+: A Risk Aware Platform Agnostic Heterogeneous Path Planner


D-AR: Diffusion via Autoregressive Models


D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence


D-CIPHER: Dynamic Collaborative Intelligent Multi-Agent System with Planner and Heterogeneous Executors for Offensive Security


D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks


D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification


D-DARTS: Distributed Differentiable Architecture Search


D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction


D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement


D-Flat: A Differentiable Flat-Optics Framework for End-to-End Metasurface Visual Sensor Design


D-Flow: Multi-modality Flow Matching for D-peptide Design


D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation


D-GATE: Decentralized Geolocation and Time Enforcement for Usage Control


D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data


D-GRIL: End-to-End Topological Learning with 2-parameter Persistence


D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions


D-HAN: Dynamic News Recommendation with Hierarchical Attention Network


D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning


D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field


D-InLoc++: Indoor Localization in Dynamic Environments


D-Judge: How Far Are We? Evaluating the Discrepancies Between AI-synthesized Images and Natural Images through Multimodal Guidance


D-LIO: 6DoF Direct LiDAR-Inertial Odometry based on Simultaneous Truncated Distance Field Mapping


D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup


D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models


D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation


D-Nikud: Enhancing Hebrew Diacritization with LSTM and Pretrained Models


D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting


D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation


D-REX: Dialogue Relation Extraction with Explanations


D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage


D-SarcNet: A Dual-stream Deep Learning Framework for Automatic Analysis of Sarcomere Structures in Fluorescently Labeled hiPSC-CMs


D-Separation for Causal Self-Explanation


D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams


D-VAT: End-to-End Visual Active Tracking for Micro Aerial Vehicles


D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments


D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning


D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations


D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights


D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis


D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation


D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution


D2Diff : A Dual Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis


D2Former: A Fully Complex Dual-Path Dual-Decoder Conformer Network using Joint Complex Masking and Complex Spectral Mapping for Monaural Speech Enhancement


D2GV: Deformable 2D Gaussian Splatting for Video Representation in 400FPS


D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration


D2LLM: Decomposed and Distilled Large Language Models for Semantic Search


D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching


D2NT: A High-Performing Depth-to-Normal Translator


D2PO: Discriminator-Guided DPO with Response Evaluation Models


D2S: Document-to-Slide Generation Via Query-Based Text Summarization


D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods


D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research


D3: Data Diversity Design for Systematic Generalization in Visual Question Answering


D3A-TS: Denoising-Driven Data Augmentation in Time Series


D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing


D3Former: Debiased Dual Distilled Transformer for Incremental Learning


D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation


D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment


D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation


D3Net: Densely connected multidilated DenseNet for music source separation


D3RM: A Discrete Denoising Diffusion Refinement Model for Piano Transcription


D3S -- A Discriminative Single Shot Segmentation Tracker


D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection


D4+: Emergent Adversarial Driving Maneuvers with Approximate Functional Optimization


D4AM: A General Denoising Framework for Downstream Acoustic Models


D4D: An RGBD diffusion model to boost monocular depth estimation


DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization


DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection


DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts


DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation


DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers


DAA: A Delta Age AdaIN operation for age estimation via binary code transformer


DAAD: Dynamic Analysis and Adaptive Discriminator for Fake News Detection


DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows


DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning


DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models


DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation


DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning


DABT: A Dependency-aware Bug Triaging Method


DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self


DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction


DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression


DAC: Decomposed Automation Correction for Text-to-SQL


DAC: Detector-Agnostic Spatial Covariances for Deep Local Features


DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series


DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition


DACBench: A Benchmark Library for Dynamic Algorithm Configuration


DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution


DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation


DACOOP-A: Decentralized Adaptive Cooperative Pursuit via Attention


DACS: Domain Adaptation via Cross-domain Mixed Sampling


DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem


DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image


DADA: Depth-aware Domain Adaptation in Semantic Segmentation


DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules


DADA: Differentiable Automatic Data Augmentation


DADA: Driver Attention Prediction in Driving Accident Scenarios


DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization


DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods


DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation


DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation


DAEMA: Denoising Autoencoder with Mask Attention


DAEMON: Dataset-Agnostic Explainable Malware Classification Using Multi-Stage Feature Mining


DAEMONFLUX: DAta-drivEn MuOn-calibrated atmospheric Neutrino Flux


DAF-Net: A Dual-Branch Feature Decomposition Fusion Network with Domain Adaptive for Infrared and Visible Image Fusion


DAFA: Distance-Aware Fair Adversarial Training


DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection


DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models


DAG-GNN: DAG Structure Learning with Graph Neural Networks


DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting


DAG-Sword: A Simulator of Large-Scale Network Topologies for DAG-Oriented Proof-of-Work Blockchains


DAG-WGAN: Causal Structure Learning With Wasserstein Generative Adversarial Networks


DAG-aware Transformer for Causal Effect Estimation


DAG-based Scheduling with Resource Sharing for Multi-task Applications in a Polyglot GPU Runtime


DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models


DAGAM: Data Augmentation with Generation And Modification


DAGCN: Dual Attention Graph Convolutional Networks


DAGER: Exact Gradient Inversion for Large Language Models


DAGFiNN: A Conversational Conference Assistant


DAGGER: A sequential algorithm for FDR control on DAGs


DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing


DAGN: Discourse-Aware Graph Network for Logical Reasoning


DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection


DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach


DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks


DAGs with No Curl: An Efficient DAG Structure Learning Approach


DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks


DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in Biomedicine


DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models


DALD: Improving Logits-based Detector without Logits from Black-box LLMs


DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling


DALE : Dark Region-Aware Low-light Image Enhancement


DALE: Differential Accumulated Local Effects for efficient and accurate global explanations


DALE: Generative Data Augmentation for Low-Resource Legal NLP


DALEX: explainers for complex predictive models


DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising


DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature


DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models


DALLE-URBAN: Capturing the urban design expertise of large text to image transformers


DALLMi: Domain Adaption for LLM-based Multi-label Classifier


DALNet: A Rail Detection Network Based on Dynamic Anchor Line


DALex: Lexicase-like Selection via Diverse Aggregation


DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation


DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting


DAM: Diffusion Activation Maximization for 3D Global Explanations


DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration


DAME: Domain Adaptation for Matching Entities


DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets