Certified Neural Approximations of Nonlinear Dynamics


Certified Neural Network Watermarks with Randomized Smoothing


Certified Patch Robustness via Smoothed Vision Transformers


Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning


Certified Robust Invariant Polytope Training in Neural Controlled ODEs


Certified Robust Models with Slack Control and Large Lipschitz Constants


Certified Robustness Against Natural Language Attacks by Causal Intervention


Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing


Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing


Certified Robustness to Programmable Transformations in LSTMs


Certified Robustness to Text Adversarial Attacks by Randomized [MASK]


Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models


Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization


Certified Training: Small Boxes are All You Need


Certified Unlearning for Neural Networks


Certified algorithms for numerical semigroups in Rocq


Certified data-driven physics-informed greedy auto-encoder simulator


Certified dimension reduction in nonlinear Bayesian inverse problems


Certifying C program correctness with respect to CompCert with VeriFast


Certifying Differential Equation Solutions from Computer Algebra Systems in Isabelle/HOL


Certifying Fairness of Probabilistic Circuits


Certifying Higher-Order Polynomial Interpretations


Certifying Joint Adversarial Robustness for Model Ensembles


Certifying Lyapunov Stability of Black-Box Nonlinear Systems via Counterexample Guided Synthesis (Extended Version)


Certifying Multilevel Coherence in the Motional State of a Trapped Ion


Certifying Out-of-Domain Generalization for Blackbox Functions


Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs


Certifying Quantum Separability with Adaptive Polytopes


Certifying Some Distributional Fairness with Subpopulation Decomposition


Certifying algorithms and relevant properties of Reversible Primitive Permutations with Lean


Certifying asymmetry in the configuration of three qubits


Certifying long-range quantum correlations through routed Bell tests


Certifying rings of integers in number fields


Certifying the Classical Simulation Cost of a Quantum Channel


Certifying the quantum Fisher information from a given set of mean values: a semidefinite programming approach


Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection


Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data


Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning


CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking Detection


CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval


CgT-GAN: CLIP-guided Text GAN for Image Captioning


ChASE: Chebyshev Accelerated Subspace iteration Eigensolver for sequences of Hermitian eigenvalue problems


ChEX: Interactive Localization and Region Description in Chest X-rays


ChIRAAG: ChatGPT Informed Rapid and Automated Assertion Generation


ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition


ChaI-TeA: A Benchmark for Evaluating Autocompletion of Interactions with LLM-based Chatbots


Chabauty-Coleman computations on rank 1 Picard curves


Chain Bounding, the leanest proof of Zorn's lemma, and an illustration of computerized proof formalization


Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM


Chain of Draft: Thinking Faster by Writing Less


Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents


Chain of Images for Intuitively Reasoning


Chain of Natural Language Inference for Reducing Large Language Model Ungrounded Hallucinations


Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs


Chain of Thought Prompting Elicits Knowledge Augmentation


Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection


Chain-Talker: Chain Understanding and Rendering for Empathetic Conversational Speech Synthesis


Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models


Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation


Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation


Chain-of-Dictionary Prompting Elicits Translation in Large Language Models


Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question Answering


Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models


Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contexts


Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources


Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples


Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers


Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models


Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models


Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models


Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance


Chain-of-Thought Prompting for Out-of-Distribution Samples: A Latent-Variable Study


Chain-of-Thought Tokens are Computer Program Variables


Chain-of-Thought Unfaithfulness as Disguised Accuracy


Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects


Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models


Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models


ChainCQG: Flow-Aware Conversational Question Generation


ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing


ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting


ChainNet: Structured Metaphor and Metonymy in WordNet


ChainStream: An LLM-based Framework for Unified Synthetic Sensing


Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking


ChainerMN: Scalable Distributed Deep Learning Framework


Chaining Event Spans for Temporal Relation Grounding


Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Nets


Chaining thoughts and LLMs to learn DNA structural biophysics


Chair Segments: A Compact Benchmark for the Study of Object Segmentation


Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection


Challenges and Barriers of Using Low Code Software for Machine Learning


Challenges and Opportunities in Improving Worst-Group Generalization in Presence of Spurious Features


Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations


Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision


Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data


Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single cell RNA-sequencing datasets


Challenges facing the explainability of age prediction models: case study for two modalities


Challenges for Reinforcement Learning in Quantum Circuit Design


Challenges for machine learning in clinical translation of big data imaging studies


Challenges in Automated Debiasing for Toxic Language Detection


Challenges in Constraining Gravity with Cosmic Voids


Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline


Challenges in Gaussian Processes for Non Intrusive Load Monitoring


Challenges in Generalization in Open Domain Question Answering


Challenges in High-dimensional Reinforcement Learning with Evolution Strategies


Challenges in Markov chain Monte Carlo for Bayesian neural networks


Challenges in Measuring Bias via Open-Ended Language Generation


Challenges in Mechanistically Interpreting Model Representations


Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery


Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations


Challenges in Training PINNs: A Loss Landscape Perspective


Challenges in Video-Based Infant Action Recognition: A Critical Examination of the State of the Art


Challenges in control of Covid-19: short doubling time and long delay to effect of interventions


Challenges in detecting evolutionary forces in language change using diachronic corpora


Challenges in identifying simple pattern-forming mechanisms in the development of settlements using demographic data


Challenges in the Automatic Analysis of Students' Diagnostic Reasoning


Challenges of Generating Structurally Diverse Graphs


Challenges of Indoor SLAM: A multi-modal multi-floor dataset for SLAM evaluation


Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs


Challenges of Multi-Modal Coreset Selection for Depth Prediction


Challenges of Producing Software Bill Of Materials for Java


Challenges of Using Text Classifiers for Causal Inference


Challenges of language technologies for the indigenous languages of the Americas


Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution


Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective


Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks


Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them


Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI


Challenging Dataset and Multi-modal Gated Mixture of Experts Model for Remote Sensing Copy-Move Forgery Understanding


Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning


Challenging Neural Dialogue Models with Natural Data: Memory Networks Fail on Incremental Phenomena


Challenging Portability Paradigms: FPGA Acceleration Using SYCL and OpenCL


Challenging but Full of Opportunities: Teachers' Perspectives on Programming in Primary Schools


Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning


Challenging common interpretability assumptions in feature attribution explanations


Challenging interferometric imaging: Machine learning-based source localization from uv-plane observations


Challenging reaction prediction models to generalize to novel chemistry


Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models


Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis


Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models


ChamaleonLLM: Batch-Aware Dynamic Low-Rank Adaptation via Inference-Time Clusters


ChameleMon: Shifting Measurement Attention as Network State Changes


Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild


Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning


Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data


Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning


Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities


Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance


Chance Constrained Stochastic Optimal Control for Linear Systems with Time Varying Random Plant Parameters


Chance-Constrained Convex MPC for Robust Quadruped Locomotion Under Parametric and Additive Uncertainties


Chance-Constrained Motion Planning using Modeled Distance-to-Collision Functions


Chance-Constrained Trajectory Planning with Multimodal Environmental Uncertainty


Chance-constrained Linear Quadratic Gaussian Games for Multi-robot Interaction under Uncertainty


Chandojnanam: A Sanskrit Meter Identification and Utilization System


Change Detection Meets Visual Question Answering


Change Detection for Local Explainability in Evolving Data Streams


Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network


Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds


Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network


Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery


Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy


Change Point Detection of Events in Molecular Simulations using dupin


Change Point Detection on A Separable Model for Dynamic Networks


Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis


Change State Space Models for Remote Sensing Change Detection


Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery


Change is Hard: A Closer Look at Subpopulation Shift


Change my Mind: Data Driven Estimate of Open-Mindedness from Political Discussions


Change of human mobility during COVID-19: A United States case study


Change point analysis with irregular signals


Change point detection and image segmentation for time series of astrophysical images


Change point detection for graphical models in the presence of missing values


Change point inference in high-dimensional regression models under temporal dependence


Change point localisation and inference in fragmented functional data


Change-Aware Siamese Network for Surface Defects Segmentation under Complex Background


Change-Point Detection in Industrial Data Streams based on Online Dynamic Mode Decomposition with Control


Change-Point Detection on Hierarchical Circadian Models


Change-in-Slope Optimal Partitioning Algorithm in a Finite-Size Parameter Space


Change-point Detection for Sparse and Dense Functional Data in General Dimensions


Change-point detection in functional time series: Applications to age-specific mortality and fertility


Change3D: Revisiting Change Detection and Captioning from A Video Modeling Perspective


ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion Model


ChangeBeadsThreader: An Interactive Environment for Tailoring Automatically Untangled Changes


ChangeBind: A Hybrid Change Encoder for Remote Sensing Change Detection


ChangeChat: An Interactive Model for Remote Sensing Change Analysis via Multimodal Instruction Tuning


ChangeChip: A Reference-Based Unsupervised Change Detection for PCB Defect Detection


ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model


ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing


ChangeViT: Unleashing Plain Vision Transformers for Change Detection


Changepoint Detection in Highly-Attributed Dynamic Graphs


Changepoint Detection in the Presence of Outliers


Changepoint detection in non-exchangeable data


Changepoint detection on a graph of time series


Changes in Crime Rates During the COVID-19 Pandemic


Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset


Changes to Captions: An Attentive Network for Remote Sensing Change Captioning


Changing the Image Memorability: From Basic Photo Editing to GANs


Changing the Kernel During Training Leads to Double Descent in Kernel Regression


Changing the Mind of Transformers for Topically-Controllable Language Generation


Changing the Narrative Perspective: From Deictic to Anaphoric Point of View


Channel Characterization of UAV-RIS-aided Systems with Adaptive Phase-shift Configuration


Channel Consistency Prior and Self-Reconstruction Strategy Based Unsupervised Image Deraining


Channel Correlation Matrix Extrapolation Based on Roughness Calibration of Scatterers


Channel Decomposition into Painting Actions


Channel Distillation: Channel-Wise Attention for Knowledge Distillation


Channel Estimation and Equalization for CP-OFDM-based OTFS in Fractional Doppler Channels


Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning


Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders


Channel Importance Matters in Few-Shot Image Classification


Channel Pruning for Accelerating Very Deep Neural Networks


Channel Pruning via Automatic Structure Search


Channel Pruning via Optimal Thresholding


Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words


Channel prior convolutional attention for medical image segmentation


Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones


Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech Recognition


Channel-Aware Low-Rank Adaptation in Time Series Forecasting


Channel-Level Variable Quantization Network for Deep Image Compression


Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation


Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation


Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting


Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes


Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition


ChannelDropBack: Forward-Consistent Stochastic Regularization for Deep Networks


Channelformer: Attention based Neural Solution for Wireless Channel Estimation and Effective Online Training


Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation


Chaos Engineering in the Wild: Findings from GitHub


Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction


Chaos in stochastic 2d Galerkin-Navier-Stokes


Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap


ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction


ChaosEater: Fully Automating Chaos Engineering with Large Language Models


ChaosMining: A Benchmark to Evaluate Post-Hoc Local Attribution Methods in Low SNR Environments


Chaotic Hedging with Iterated Integrals and Neural Networks


Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent


Chaotic and Clumpy Galaxy Formation in an Extremely Massive Reionization-Era Halo


Chaotic and Thermal Aspects in the Highly Excited String S-Matrix


Chaotic exits from a weakly magnetized Schwarzschild black hole


Chaotic photon orbits and shadows of a non-Kerr object described by the Hartle-Thorne spacetime


Chaotic properties of an FIR filtered Hénon map


Chaotic winds from a dying world: a one-dimensional map for evolving atmospheres


Chapter Captor: Text Segmentation in Novels


ChapterBreak: A Challenge Dataset for Long-Range Language Models


Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs


CharBERT: Character-aware Pre-trained Language Model


CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising


CharManteau: Character Embedding Models For Portmanteau Creation


CharaConsist: Fine-Grained Consistent Character Generation


Character Entropy in Modern and Historical Texts: Comparison Metrics for an Undeciphered Manuscript


Character Eyes: Seeing Language through Character-Level Taggers


Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation


Character Time-series Matching For Robust License Plate Recognition


Character Transformations for Non-Autoregressive GEC Tagging


Character decomposition to resolve class imbalance problem in Hangul OCR


Character randomized benchmarking for non-multiplicity-free groups with applications to subspace, leakage, and matchgate randomized benchmarking


Character-Adapter: Prompt-Guided Region Control for High-Fidelity Character Customization


Character-LLM: A Trainable Agent for Role-Playing


Character-Level Chinese Dependency Parsing via Modeling Latent Intra-Word Structure


Character-Level Models versus Morphology in Semantic Role Labeling


Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF


Character-based Neural Embeddings for Tweet Clustering


Character-level Chinese-English Translation through ASCII Encoding


Character-level Convolutional Network for Text Classification Applied to Chinese Corpus


Character-level HyperNetworks for Hate Speech Detection


Character-level Intra Attention Network for Natural Language Inference


Character-level Recurrent Neural Networks in Practice: Comparing Training and Sampling Schemes


Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution


CharacterBench: Benchmarking Character Customization of Large Language Models


CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds


CharacterChat: Learning towards Conversational AI with Personalized Social Support


CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation


CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models


CharacterGAN: Few-Shot Keypoint Character Animation and Reposing


CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models


Characterisation of Anti-Arrhythmic Drug Effects on Cardiac Electrophysiology using Physics-Informed Neural Networks


Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks


Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis


Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data


Characterising memory in quantum channel discrimination via constrained separability problems


Characterising mosquito biting behaviour at high resolution


Characterising particulate random media from near-surface backscattering: a machine learning approach to predict particle size and concentration


Characterising semi-Clifford gates using algebraic sets


Characterising the Creative Process in Humans and Large Language Models


Characterising the Standardisation Properties of Type Ia Supernovae in the z band with Hierarchical Bayesian Modelling


Characterising the surface magnetic fields of T Tauri stars with high-resolution near-infrared spectroscopy


Characterising transformations between quantum objects, 'completeness' of quantum properties, and transformations without a fixed causal order


Characteristic AI Agents via Large Language Models


Characteristic Function of the Tsallis $q$-Gaussian and Its Applications in Measurement and Metrology


Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale


Characteristic Learning for Provable One Step Generation


Characteristic Performance Study on Solving Oscillator ODEs via Soft-constrained Physics-informed Neural Network with Small Data


Characteristic and Necessary Minutiae in Fingerprints


Characteristic formulations of general relativity and applications


Characteristic scales and adaptation in higher-order contagions


Characteristic-Sorted Portfolios: Estimation and Inference


Characteristics and prevalence of fake social media profiles with AI-generated faces


Characteristics of Femtosecond Laser Induced Filament and Energy Coupling by Nanosecond Laser Pulse in Air


Characteristics of networks generated by kernel growing neural gas


Characteristics-based Simulink implementation of first-order quasilinear partial differential equations


Characterization and Exploitation of the Rotational Memory Effect in Multimode Fibers


Characterization and Further Applications of the Bar-Natan Zh-Construction


Characterization and Mitigation of Training Instabilities in Microscaling Formats


Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters


Characterization of Industrial Smoke Plumes from Remote Sensing Data


Characterization of JWST NIRCam PSFs and Implications for AGN+Host Image Decomposition


Characterization of Large Language Model Development in the Datacenter


Characterization of Overlap in Observational Studies


Characterization of Phosphorylated Tau-Microtubule complex with Molecular Dynamics (MD) simulation


Characterization of Population III Stars with Stellar Atmosphere and Evolutionary Modeling and Predictions of their Observability with the James Webb Space Telescope


Characterization of Semantic Segmentation Models on Mobile Platforms for Self-Navigation in Disaster-Struck Zones


Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes


Characterization of Supernovae Based on the Spectral-Temporal Energy Distribution: Possible two SN Ib Subtypes


Characterization of XIA UltraLo-1800 Response to Measuring Charged Samples


Characterization of differences in immune responses during bolus and continuous infusion endotoxin challenges using mathematical modeling


Characterization of exoplanetary atmospheres with SLOPpy


Characterization of merging black holes with two precessing spins


Characterization of overparametrization in the simulation of realistic quantum systems


Characterization of singular flows of zeroth-order pseudo-differential operators via elliptic eigenfunctions: a numerical study


Characterization of surface motion patterns in highly deformable soft tissue organs from dynamic MRI: An application to assess 4D bladder motion


Characterizations of voting rules based on majority margins


Characterizing (Un)moderated Textual Data in Social Systems


Characterizing 4-string contact interaction using machine learning


Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality


Characterizing Astrophysical Binary Neutron Stars with Gravitational Waves


Characterizing Attitudinal Network Graphs through Frustration Cloud


Characterizing Beam Errors for Radio Interferometric Observations of Reionization


Characterizing Bias in Classifiers using Generative Models


Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese


Characterizing Co-located Datacenter Workloads: An Alibaba Case Study


Characterizing Collective Attention via Descriptor Context: A Case Study of Public Discussions of Crisis Events


Characterizing Commodity Serverless Computing Platforms


Characterizing Context Influence and Hallucination in Summarization


Characterizing Data Point Vulnerability via Average-Case Robustness


Characterizing Datapoints via Second-Split Forgetting


Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement


Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach


Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs


Characterizing English Variation across Social Media Communities with BERT


Characterizing Evaporation Ducts Within the Marine Atmospheric Boundary Layer Using Artificial Neural Networks


Characterizing Exceptional Points Using Neural Networks


Characterizing Faculty Online Learning Community Interactions Using Social Network Analysis


Characterizing Image Accessibility on Wikipedia across Languages


Characterizing Information Seeking Processes with Multiple Physiological Signals


Characterizing Input Methods for Human-to-robot Demonstrations


Characterizing JavaScript Security Code Smells


Characterizing Knowledge Manipulation in a Russian Wikipedia Fork


Characterizing LLM Abstention Behavior in Science QA with Context Perturbations


Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation


Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability


Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks


Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings


Characterizing Massive Activations of Attention Mechanism in Graph Neural Networks


Characterizing Model Robustness via Natural Input Gradients


Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo


Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences


Characterizing Observed Extra Mixing Trends in Red Giants using the Reduced Density Ratio from Thermohaline Models


Characterizing Partisan Political Narrative Frameworks about COVID-19 on Twitter


Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images


Characterizing Physician Referral Networks with Ricci Curvature


Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model


Characterizing Python Library Migrations


Characterizing RNA oligomers using Stochastic Titration Constant-pH Metadynamics simulations


Characterizing Reaction Route Map of Realistic Molecular Reactions based on Weight Rank Clique Filtration of Persistent Homology


Characterizing Reddit Participation of Users Who Engage in the QAnon Conspiracy Theories


Characterizing Retweet Bots: The Case of Black Market Accounts


Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location


Characterizing SLAM Benchmarks and Methods for the Robust Perception Age


Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People


Characterizing Sparse Asteroid Light Curves with Gaussian Processes


Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts


Characterizing Translation-Invariant Bell Inequalities using Tropical Algebra and Graph Polytopes


Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension


Characterizing Undetected Stellar Companions with Combined Datasets


Characterizing Usability Issue Discussions in Open Source Software Projects


Characterizing User Platforms for Video Streaming in Broadband Networks


Characterizing Vehicle-Induced Distributed Acoustic Sensing Signals for Accurate Urban Near-Surface Imaging


Characterizing Well-Behaved vs. Pathological Deep Neural Networks


Characterizing and Classifying Developer Forum Posts with their Intentions


Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat


Characterizing and Measuring Linguistic Dataset Drift


Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology


Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge


Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers


Characterizing and Optimizing EDA Flows for the Cloud


Characterizing and Optimizing End-to-End Systems for Private Inference


Characterizing and Predicting Social Correction on Twitter


Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment


Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling


Characterizing and comparing external measures for the assessment of cluster analysis and community detection


Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks


Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic


Characterizing how 'distributional' NLP corpora distance metrics are


Characterizing metastable states with the help of machine learning


Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model


Characterizing personalized effects of family information on disease risk using graph representation learning


Characterizing possible failure modes in physics-informed neural networks


Characterizing quantum pseudorandomness by machine learning


Characterizing soot in TEM images using a convolutional neural network


Characterizing steady states of genome-scale metabolic networks in continuous cell cultures


Characterizing structural features of two-dimensional particle systems through Voronoi topology


Characterizing the Complexity of Social Robot Navigation Scenarios


Characterizing the Conformational States of G Protein Coupled Receptors Generated with AlphaFold


Characterizing the Convergence of Game Dynamics via Potentialness


Characterizing the Decision Boundary of Deep Neural Networks


Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass


Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models


Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model


Characterizing the Spectrum of the NTK via a Power Series Expansion


Characterizing the Value of Information in Medical Notes


Characterizing the contribution of dependent features in XAI methods


Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA


Characterizing the limits of human stability during motion: perturbative experiment validates a model-based approach for the Sit-to-Stand task


Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable models


Characterizing the observation bias in gravitational-wave detections and finding structured population properties


Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias


Characterizing the temporal dynamics of universal speech representations for generalizable deepfake detection


Characterizing unstructured data with the nearest neighbor permutation entropy


Characterizing, Detecting, and Predicting Online Ban Evasion


Charge Carrier Mobilities in gamma-Graphynes: A computational approach


Charge Schedule Optimization and Infrastructure Planning for Solar-Integrated Electric Bus Transit Systems


Charge pump phase-locked loop with phase-frequency detector: closed form mathematical model


Charge-dependent Flow Induced by Magnetic and Electric Fields in Heavy Ion Collisions


Charged Black Hole Mergers: Orbit Circularisation and Chirp Mass Bias


Charged current neutrino interactions in hot and dense matter


Charged particle dynamics in parabolic magnetosphere around Schwarzschild black hole


Charged particle tracking via edge-classifying interaction networks


Charm: The Missing Piece in ViT fine-tuning for Image Aesthetic Assessment


Chart What I Say: Exploring Cross-Modality Prompt Alignment in AI-Assisted Chart Authoring


Chart4Blind: An Intelligent Interface for Chart Accessibility Conversion


ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning


ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding


ChartCheck: Explainable Fact-Checking over Real-World Chart Images


ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation


ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing


ChartFormer: A Large Vision Language Model for Converting Chart Images into Tactile Accessible SVGs


ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language


ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild


ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset


ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning


ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation


ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning


ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering


ChartReformer: Natural Language-Driven Chart Image Editing


ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding


ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives


ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries


ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization


Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs


Charting a finite element, mechanical atlas of dermatologic wound closure


Charting and navigating the space of solutions for recurrent neural networks


Charting the course of \emph{Sargassum}: Incorporating nonlinear elastic interactions and life cycles in the Maxey--Riley model


Chasing Better Deep Image Priors between Over- and Under-parameterization


Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach


Chasing Fairness in Graphs: A GNN Architecture Perspective


Chasing Puppies: Mobile Beacon Routing on Closed Curves


Chasing Sparsity in Vision Transformers: An End-to-End Exploration


Chasing rainbows and ocean glints: Inner working angle constraints for the Habitable Worlds Observatory


Chasing the Speed of Light: Low-Latency Planetary-Scale Adaptive Byzantine Consensus


Chat Bankman-Fried: an Exploration of LLM Alignment in Finance


Chat Translation Error Detection for Assisting Cross-lingual Communications


Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts


Chat2Scenario: Scenario Extraction From Dataset Through Utilization of Large Language Model


Chat3GPP: An Open-Source Retrieval-Augmented Generation Framework for 3GPP Documents


ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification


ChatBench: From Static Benchmarks to Human-AI Evaluation


ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates


ChatCFD: an End-to-End CFD Agent with Domain-specific Structured Thinking


ChatCell: Facilitating Single-Cell Analysis with Natural Language


ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models


ChatCounselor: A Large Language Models for Mental Health Support


ChatDBG: Augmenting Debugging with Large Language Models


ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers


ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge


ChatEDA: A Large Language Model Powered Autonomous Agent for EDA


ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models


ChatFDA: Medical Records Risk Assessment


ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs


ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis


ChatGPT Code Detection: Techniques for Uncovering the Source of Code


ChatGPT Doesn't Trust Chargers Fans: Guardrail Sensitivity in Context


ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application


ChatGPT Incorrectness Detection in Software Reviews


ChatGPT Informed Graph Neural Network for Stock Movement Prediction


ChatGPT MT: Competitive for High- (but not Low-) Resource Languages


ChatGPT Participates in a Computer Science Exam


ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?


ChatGPT and Software Testing Education: Promises & Perils


ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection


ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions


ChatGPT as a commenter to the news: can LLMs generate human-like opinions?


ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown


ChatGPT for GTFS: Benchmarking LLMs on GTFS Understanding and Retrieval


ChatGPT for Programming Numerical Methods


ChatGPT for Robotics: Design Principles and Model Abilities


ChatGPT for Suicide Risk Assessment on Social Media: Quantitative Evaluation of Model Performance, Potentials and Limitations


ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?


ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey


ChatGPT in the context of precision agriculture data analytics


ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models


ChatGPT vs. Lightweight Security: First Work Implementing the NIST Cryptographic Standard ASCON


ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?


ChatGPT, Llama, can you write my report? An experiment on assisted digital forensics reports written using (Local) Large Language Models


ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT


ChatGPT-guided Semantics for Zero-shot Learning


ChatGPT4PCG Competition: Character-like Level Generation for Science Birds


ChatGPT: Jack of all trades, master of none


ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs


ChatHaruhi: Reviving Anime Character in Reality via Large Language Model


ChatHouseDiffusion: Prompt-Guided Generation and Editing of Floor Plans


ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT


ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models


ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time


ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning


ChatMusician: Understanding and Generating Music Intrinsically with LLM


ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human


ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval


ChatRex: Taming Multimodal LLM for Joint Perception and Understanding


ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles


ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image Retrieval


ChatSim: Underwater Simulation with Natural Language Prompting


ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning


ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data


ChatVis: Automating Scientific Visualization with a Large Language Model


Chatbots Are Not Reliable Text Annotators


Chatbots and messaging platforms in the classroom: an analysis from the teacher's perspective


Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model


Chatting Makes Perfect: Chat-based Image Retrieval


Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL


CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning


CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray Classification


CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs


CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays


CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning


CheXclusion: Fairness gaps in deep chest X-ray classifiers


CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images


CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats


CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness


CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation


CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI


Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data


Cheap Ways of Extracting Clinical Markers from Texts


Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems


Cheap and versatile humidity regulator for environmentally controlled experiments


Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates


Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs


Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation


Cheating in online gaming spreads through observation and victimization


Chebotarov continua, Jenkins-Strebel differentials and related problems: a numerical approach


Chebyshev Feature Neural Network for Accurate Function Approximation


Chebyshev Subdivision and Reduction Methods for Solving Multivariable Systems of Equations


Chebyshev centers and radii for sets induced by quadratic matrix inequalities


Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence


CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks


CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows


CheckMate: LLM-Powered Approximate Intermittent Computing


Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features


Checker Bug Detection and Repair in Deep Learning Libraries


CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network


Checking App Behavior Against App Descriptions: What If There are No App Descriptions?


Checking Continuous Stochastic Logic against Quantum Continuous-Time Markov Chains


Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection


Checking Robustness Between Weak Transactional Consistency Models


Checking Security Compliance between Models and Code


Checking the Sufficiently Scattered Condition using a Global Non-Convex Optimization Software


Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies


Cheetah: Natural Language Generation for 517 African Languages


ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation


Chefs' Random Tables: Non-Trigonometric Random Features


Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction


ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning


ChemBoost: A chemical language based approach for protein-ligand binding affinity prediction


ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models


ChemHTS: Hierarchical Tool Stacking for Enhancing Chemical Agents


ChemMLLM: Chemical Multimodal Large Language Model


ChemPlasKin: a general-purpose program for unified gas and plasma kinetics simulations


ChemReservoir -- An Open-Source Framework for Chemically-Inspired Reservoir Computing


ChemScraper: Leveraging PDF Graphics Instructions for Molecular Diagram Parsing


ChemTS: An Efficient Python Library for de novo Molecular Generation


ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area


Chemical Integration of ODEs using Idealized Abstract Solutions


Chemical Language Model Linker: blending text and molecules with modular adapters


Chemical Names Standardization using Neural Sequence to Sequence Model


Chemical Partitioning at Crystalline Defects in PtAu as a Pathway to Stabilize Electrocatalysts


Chemical Reaction Extraction from Long Patent Documents


Chemical bonding theories as guides for self-interaction corrected solutions: multiple local minima and symmetry breaking


Chemical reasoning in LLMs unlocks steerable synthesis planning and reaction mechanism elucidation


Chemical transformer compression for accelerating both training and inference of molecular modeling


Chemical-Reaction-Aware Molecule Representation Learning


Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge


Chemically Self-Consistent Modeling of the Globular Cluster NGC 2808 and its Effects on the Inferred Helium Abundance of Multiple Stellar Populations


Chemically Transferable Generative Backmapping of Coarse-Grained Proteins


Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments


Chemodynamical Ages of Small-Scale Kinematic Structures of the Galactic Disc in the Solar Neighborhood from ~250,000 K and M Dwarfs


Chempl: a playable package for modeling interstellar chemistry


Chemulator: Fast, accurate thermochemistry for dynamical models through emulation


Cherenkov radiation and scattering of external dispersive waves by two-color solitons


Chern-Simons potentials of higher-dimensional Pontryagin densities


Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation


CherryPicker: Semantic Skeletonization and Topological Reconstruction of Cherry Trees


Cheshire: A Lightweight, Linux-Capable RISC-V Host Platform for Domain-Specific Accelerator Plug-In


Chess Rating Estimation from Moves and Clock Times Using a CNN-LSTM


ChessGPT: Bridging Policy Learning and Language Modeling


ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation


Chest ImaGenome Dataset for Clinical Reasoning


Chest X-ray Foundation Model with Global and Local Representations Integration


Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network


ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification


Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection


ChiENN: Embracing Molecular Chirality with Graph Neural Networks


ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences


Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark


Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models


ChildAugment: Data Augmentation Methods for Zero-Resource Children's Speaker Verification


ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5


ChildPredictor: A Child Face Prediction Framework with Disentangled Learning


Chimenea and other tools: Automated imaging of multi-epoch radio-synthesis data with CASA


Chimera States and Seizures in a Mouse Neuronal Model


Chimera States in Continuous Media: Existence and Distinctness


Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines


ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing


China and the U.S. produce more impactful AI research when collaborating together


China's Easily Overlooked Monetary Transmission Mechanism: Monetary Reservoir


ChinaOpen: A Dataset for Open-world Multimodal Learning


ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning


Chinese Fine-Grained Financial Sentiment Analysis with Large Language Models


Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis


Chinese Named Entity Recognition Augmented with Lexicon Memory


Chinese Painting Style Transfer Using Deep Generative Models


Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet


Chinese Poetry Generation with a Working Memory Model


Chinese Spelling Correction as Rephrasing Language Model


Chinese grammatical error correction based on knowledge distillation


ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models


ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark


ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information


ChineseWebText: Large-scale High-quality Chinese Web Text Extracted with Effective Evaluation Model


Chip games and multipartite graph paintability


Chip-Tuning: Classify Before Language Models Say


ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations


ChipQA: No-Reference Video Quality Prediction via Space-Time Chips


Chiplet Actuary: A Quantitative Cost Model and Multi-Chiplet Architecture Exploration


Chiral Magic-Angle Twisted Bilayer Graphene in a Magnetic Field: Landau Level Correspondence, Exact Wavefunctions and Fractional Chern Insulators


Chiral adiabatic transmission protected by Fermi surface topology


Chiral phase-coexistence in compressed double-twist elastomers


Chiral superconductivity in the doped triangular-lattice Fermi-Hubbard model in two dimensions


Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous Vehicles


ChirpOTLE: A Framework for Practical LoRaWAN Security Evaluation


Chirpy3D: Creative Fine-grained 3D Object Fabrication via Part Sampling


ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development


Chitchat as Interference: Adding User Backstories to Task-Oriented Dialogues


Choco-Q: Commute Hamiltonian-based QAOA for Constrained Binary Optimization


ChoiRbot: A ROS 2 Toolbox for Cooperative Robotics


Choice Fusion as Knowledge for Zero-Shot Dialogue State Tracking


Choice Set Confounding in Discrete Choice


Choice Set Optimization Under Discrete Choice Models of Group Decisions


Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation


Choice-Aware User Engagement Modeling andOptimization on Social Media


CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery


CholecTrack20: A Dataset for Multi-Class Multiple Tool Tracking in Laparoscopic Surgery


CholecTriplet2021: A benchmark challenge for surgical action triplet recognition


CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection


Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex


Chook -- A comprehensive suite for generating binary optimization problems with planted solutions


Choose Wisely: Data-driven Predictive Control for Nonlinear Systems Using Online Data Selection


Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance


Choose your Data Wisely: A Framework for Semantic Counterfactuals


Choosing Transfer Languages for Cross-Lingual Learning


Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies


Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization


Choosing an effective setup for stream processing


Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work?


Choosing the Number of Topics in LDA Models -- A Monte Carlo Comparison of Selection Criteria


Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems


Choosing the correlation structure of mixed effect models for experiments with stimuli


Choosing the weights for the logarithmic pooling of probability distributions


ChoralSynth: Synthetic Dataset of Choral Singing


Chord Recognition in Symbolic Music: A Segmental CRF Model, Segment-Level Features, and Comparative Evaluations on Classical and Popular Music


Chord-Conditioned Melody Harmonization with Controllable Harmonicity


ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths


Chordal Averaging on Flag Manifolds and Its Applications


Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks


Chordal Sparsity for SDP-based Neural Network Verification


Chordal-NMF with Riemannian Multiplicative Update


Choreographer: Learning and Adapting Skills in Imagination


Choriented Maps: Visualizing SDG Data on Mobile Devices


Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography


Chorus: Optimizing Synchrotron Transfer Coefficients with Weighted Sums


ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback


Chromatic Effects on the PSF and Shear Measurement for the Roman Space Telescope High-Latitude Wide Area Survey


Chronic stress may disrupt covariant fluctuations of vitamin D and cortisol plasma levels in pregnant sheep during the last trimester: a preliminary report


ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages


ChronoFlow: A Data-Driven Model for Gyrochronology


ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation


Chronocept: Instilling a Sense of Time in Machines


ChronosPerseus: Randomized Point-based Value Iteration with Importance Sampling for POSMDPs


Chronus: Understanding and Securing the Cutting-Edge Industry Solutions to DRAM Read Disturbance


Chrowned by an Extension: Abusing the Chrome DevTools Protocol through the Debugger API


Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers


Chunk-Based Bi-Scale Decoder for Neural Machine Translation


Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations


Chunk-based Nearest Neighbor Machine Translation


ChunkFormer: Masked Chunking Conformer For Long-Form Speech Transcription


Chunked Autoregressive GAN for Conditional Waveform Synthesis


Chunking: Continual Learning is not just about Distribution Shift


Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models


Church's thesis and related axioms in Coq's type theory


Churn Intent Detection in Multilingual Chatbot Conversations and Social Media


CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery


CiRL: Open-Source Environments for Reinforcement Learning in Circular Economy and Net Zero


CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation


CiT: Curation in Training for Effective Vision-Language Data


CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution


CigaR: Cost-efficient Program Repair with LLMs


CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech Conversion


Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement


Cine-AI: Generating Video Game Cutscenes in the Style of Human Directors


CineMA: A Foundation Model for Cine Cardiac MRI


CineMPC: A Fully Autonomous Drone Cinematography System Incorporating Zoom, Focus, Pose, and Scene Composition


CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation


Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models


Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops


CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation


CipherPrune: Efficient and Scalable Private Transformer Inference


Cipherfix: Mitigating Ciphertext Side-Channel Attacks in Software


CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer


Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis


CircNet: Meshing 3D Point Clouds with Circumcenter Detection


Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models


CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention


Circuit Analysis using Monotone+Skew Splitting


Circuit Component Reuse Across Tasks in Transformer Language Models


Circuit Transformer: A Transformer That Preserves Logical Equivalence


Circuit design in biology and machine learning. I. Random networks and dimensional reduction


Circuit quantum electrodynamics (cQED) with modular quasi-lumped models


Circuit-QED with phase-biased Josephson weak links


CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design


CircuitQ: An open-source toolbox for superconducting circuits


Circulant ADMM-Net for Fast High-resolution DoA Estimation


Circular Coordinates for Density-Robust Analysis


Circular Directional Flow Decomposition of Networks


Circular Microalgae-Based Carbon Control for Net Zero


Circular arc polygons, numerical conformal mappings, and moduli of quadrilaterals


Circular dichroism in high-order harmonic generation: Heralding topological phases and transitions in Chern insulators


Circular dichroism of emergent chiral stacking orders in quasi-one-dimensional charge density waves


Circularity of Thermodynamical Material Networks: Indicators, Examples, and Algorithms


Circumventing Backdoor Space via Weight Symmetry


Circumventing Concept Erasure Methods For Text-to-Image Generative Models


Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning


Cisco at AAAI-CAD21 shared task: Predicting Emphasis in Presentation Slides using Contextualized Embeddings


Cisco at SemEval-2021 Task 5: What's Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments


Citadel: Self-Sovereign Identities on Dusk Network


Citation Recommendation for Research Papers via Knowledge Graphs


Citation Recommendation on Scholarly Legal Articles


Citation-Based Summarization of Landmark Judgments


Citation-Enhanced Generation for LLM-based Chatbots


CitationIE: Leveraging the Citation Graph for Scientific Information Extraction


Citations are not opinions: a corpus linguistics approach to understanding how citations are made


CiteAssist: A System for Automated Preprint Citation and BibTeX Generation


CiteBART: Learning to Generate Citations for Local Citation Recommendation


CiteBench: A benchmark for Scientific Citation Text Generation


CiteCheck: Towards Accurate Citation Faithfulness Detection


CiteME: Can Language Models Accurately Cite Scientific Claims?


CitePrompt: Using Prompts to Identify Citation Intent in Scientific Papers


CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision


CiteTracker: Correlating Image and Text for Visual Tracking


CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding


Cited Text Spans for Citation Text Generation


Citegeist: Automated Generation of Related Work Analysis on the arXiv Corpus


Citekit: A Modular Toolkit for Large Language Model Citation Generation


Citizen Science to Assess Light Pollution with Mobile Phones


Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support


City Scene Super-Resolution via Geometric Error Minimization


City classification from multiple real-world sound scenes


City-GAN: Learning architectural styles using a custom Conditional GAN architecture


City-Scale Holographic Traffic Flow Data based on Vehicular Trajectory Resampling


City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones


City-Scale Visual Place Recognition with Deep Local Features Based on Multi-Scale Ordered VLAD Pooling


City-Wide Perceptions of Neighbourhood Quality using Street View Images


City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web


City-scale synthetic individual-level vehicle trip data


City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions


City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds


CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks


CityDreamer4D: Compositional Generative Model of Unbounded 4D Cities


CityDreamer: Compositional Generative Model of Unbounded 3D Cities


CityGPT: Empowering Urban Spatial Cognition of Large Language Models


CityGuessr: City-Level Video Geo-Localization on a Global Scale


CityLLaVA: Efficient Fine-Tuning for VLMs in City Scenario


CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory


CityNet: A Comprehensive Multi-Modal Urban Dataset for Advanced Research in Urban Computing


CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data


CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins


CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials


CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos


Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image Editing


CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents


CktGNN: Circuit Graph Neural Network for Electronic Design Automation


ClaPIM: Scalable Sequence CLAssification using Processing-In-Memory


Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning


Claim Optimization in Computational Argumentation


Claim-Guided Textual Backdoor Attack for Practical Applications


ClaimCompare: A Data Pipeline for Evaluation of Novelty Destroying Patent Pairs


ClaimDiff: Comparing and Contrasting Claims on Contentious Issues


Clairvoyance: A Pipeline Toolkit for Medical Time Series


ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification


ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog


ClarQ: A large-scale and diverse dataset for Clarification Question Generation


Claraprint: a chord and melody based fingerprint for western classical music cover detection


Clarify Confused Nodes via Separated Learning


Clarify: Improving Model Robustness With Natural Language Corrections


Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness


ClasSOMfier: A neural network for cluster analysis and detection of lattice defects


ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence


Class Anchor Clustering: a Loss for Distance-based Open Set Recognition


Class Attention Transfer Based Knowledge Distillation


Class Balance Matters to Active Class-Incremental Learning


Class Binarization to NeuroEvolution for Multiclass Classification


Class Cardinality Comparison as a Fermi Problem


Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations


Class Feature Pyramids for Video Explanation


Class Gradient Projection For Continual Learning


Class Impression for Data-free Incremental Learning


Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation


Class Introspection: A Novel Technique for Detecting Unlabeled Subclasses by Leveraging Classifier Explainability Methods


Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization


Class Label-aware Graph Anomaly Detection


Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation


Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery


Class Prototype-based Cleaner for Label Noise Learning


Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation


Class and Region-Adaptive Constraints for Network Calibration


Class based Influence Functions for Error Detection


Class-Adaptive Sampling Policy for Efficient Continual Learning


Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data


Class-Agnostic Region-of-Interest Matching in Document Images


Class-Attentive Diffusion Network for Semi-Supervised Classification


Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging


Class-Aware Contrastive Semi-Supervised Learning


Class-Aware Mask-Guided Feature Refinement for Scene Text Recognition


Class-Aware Pruning for Efficient Neural Networks


Class-Balanced Active Learning for Image Classification


Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation


Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation


Class-Conditional Conformal Prediction with Many Classes


Class-Conditioned Transformation for Enhanced Robust Image Classification


Class-Continuous Conditional Generative Neural Radiance Field


Class-Dependent Perturbation Effects in Evaluating Time Series Attributions


Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition


Class-Imbalanced Graph Learning without Class Rebalancing


Class-Imbalanced Learning on Graphs: A Survey


Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation


Class-Incremental Exemplar Compression for Class-Incremental Learning


Class-Incremental Experience Replay for Continual Learning under Concept Drift


Class-Incremental Grouping Network for Continual Audio-Visual Learning


Class-Incremental Learning based on Label Generation


Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation


Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels


Class-Incremental Learning for Wireless Device Identification in IoT


Class-Incremental Learning via Knowledge Amalgamation


Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion


Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer


Class-Incremental Learning with Generative Classifiers


Class-Incremental Learning with Repetition


Class-Incremental Learning with Strong Pre-trained Models


Class-Level Confidence Based 3D Semi-Supervised Learning


Class-Specific Explainability for Deep Time Series Classifiers


Class-Weighted Classification: Trade-offs and Robust Approaches


Class-Weighted Convolutional Features for Visual Instance Search


Class-attention Video Transformer for Engagement Intensity Prediction


Class-aware Sounding Objects Localization via Audiovisual Correspondence


Class-constrained t-SNE: Combining Data Features and Class Probabilities


Class-dependent Compression of Deep Neural Networks


Class-incremental Learning for Time Series: Benchmark and Evaluation


Class-incremental Learning with Pre-allocated Fixed Classifiers


Class-incremental Learning with Rectified Feature-Graph Preservation


Class-independent sequential full image segmentation, using a convolutional net that finds a segment within an attention region, given a pointer pixel within this segment


Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning


Class-relation Knowledge Distillation for Novel Class Discovery


Class-specific Data Augmentation for Plant Stress Classification


Class-specific residual constraint non-negative representation for pattern classification


Class-wise Autoencoders Measure Classification Difficulty And Detect Label Mistakes


Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological Clustering


Class-wise and reduced calibration methods


ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US


ClassBases at CASE-2022 Multilingual Protest Event Detection Tasks: Multilingual Protest News Detection and Automatically Replicating Manually Created Event Datasets


ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance


ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation


ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning


ClassSim: Similarity between Classes Defined by Misclassification Ratios of Trained Classifiers


ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation


Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation


Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction


Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification


Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling


Classic algorithms are fair learners: Classification Analysis of natural weather and wildfire occurrences


Classical Density Functional Theory Reveals Structural Information of H2 and CH4 Fluids Adsorbed in MOF-5


Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks


Classical Planning as QBF without Grounding (extended version)


Classical Quantum Optimization with Neural Network Quantum States


Classical Sequence Match is a Competitive Few-Shot One-Class Learner


Classical algorithms and quantum limitations for maximum cut on high-girth graphs


Classical and Quantum Algorithms for the Deterministic L-system Inductive Inference Problem


Classical and quantum machine learning applications in spintronics


Classical and quantum random-walk centrality measures in multilayer networks


Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode


Classical benchmarking of Gaussian Boson Sampling on the Titan supercomputer


Classical bounds on correlation-type Bell expressions and linear prepare-and-measure witnesses: efficient computation in parallel environments such as graphics processing units


Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks


Classical optimization algorithms for diagonalizing quantum Hamiltonians


Classical simulators as quantum error mitigators via circuit cutting


Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data


Classical-to-Quantum Sequence Encoding in Genomics


Classical-to-quantum transition in multimode nonlinear systems with strong photon-photon coupling


Classically-Verifiable Quantum Advantage from a Computational Bell Test


Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks


Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples


Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network


Classification Done Right for Vision-Language Pre-Training


Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations


Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability


Classification Under Strategic Self-Selection


Classification Using Global and Local Mahalanobis Distances


Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures


Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection


Classification and Clustering of Arguments with Contextualized Word Embeddings


Classification and Construction of Topological Phases of Quantum Matter


Classification and Feature Transformation with Fuzzy Cognitive Maps


Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?


Classification and clustering for observations of event time data using non-homogeneous Poisson process models


Classification and reconstruction for single-pixel imaging with classical and quantum neural networks


Classification and reconstruction of optical quantum states with deep neural networks


Classification and transformations of quantum circuit decompositions for permutation operations


Classification and understanding of cloud structures via satellite images with EfficientUNet


Classification based on invisible features and thereby finding the effect of tuberculosis vaccine on COVID-19


Classification of ALS patients based on acoustic analysis of sustained vowel phonations


Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning Study


Classification of Astronomical Bodies by Efficient Layer Fine-Tuning of Deep Neural Networks


Classification of BCI-EEG based on augmented covariance matrix


Classification of Bark Beetle-Induced Forest Tree Mortality using Deep Learning


Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method


Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods


Classification of COVID-19 in CT Scans using Multi-Source Transfer Learning


Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM


Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network


Classification of Cellular Fake Surfaces


Classification of Diabetic Retinopathy Severity in Fundus Images with DenseNet121 and ResNet50


Classification of Edge-dependent Labels of Nodes in Hypergraphs


Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning


Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba


Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach


Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network


Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total Variation


Classification of Important Segments in Educational Videos using Multimodal Features


Classification of Influenza Hemagglutinin Protein Sequences using Convolutional Neural Networks


Classification of LEO Satellites Using Occultations of Background Stars


Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks


Classification of Mitral Regurgitation from Cardiac Cine MRI using Clinically-Interpretable Morphological Features


Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network


Classification of Multi-Parametric Body MRI Series Using Deep Learning


Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep Learning


Classification of OGLE eclipsing binary stars based on their morphology type with Locally Linear Embedding


Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural Networks


Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks


Classification of Quasars, Galaxies, and Stars in the Mapping of the Universe Multi-modal Deep Learning


Classification of Radiological Text in Small and Imbalanced Datasets in a Non-English Language


Classification of Small Triorthogonal Codes


Classification of Smoking and Calling using Deep Learning


Classification of Stress via Ambulatory ECG and GSR Data


Classification of Teleparallel Horndeski Cosmology via Noether Symmetries


Classification of Temporal Graphs using Persistent Homology


Classification of Time-Series Data Using Boosted Decision Trees


Classification of US Supreme Court Cases using BERT-Based Techniques


Classification of Various Types of Damages in Honeycomb Composite Sandwich Structures using Guided Wave Structural Health Monitoring


Classification of Visualization Types and Perspectives in Patents


Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable Features


Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks


Classification of anomalous gait using Machine Learning techniques and embedded sensors


Classification of cancer pathology reports: a large-scale comparative study


Classification of cow diet based on milk mid infrared spectra: a data analysis competition at the "International workshop of spectroscopy and chemometrics 2022"


Classification of dynamical Lie algebras for translation-invariant 2-local spin systems in one dimension


Classification of generalized Alexander quandles


Classification of genetic variants using machine learning


Classification of grapevine varieties using UAV hyperspectral imaging


Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus


Classification of integers based on residue classes via modern deep learning algorithms


Classification of integral modular data up to rank 13


Classification of joint quantum measurements based on entanglement cost of localization


Classification of large DNA methylation datasets for identifying cancer drivers


Classification of multivariate weakly-labelled time-series with attention


Classification of one-class spinor genera for quaternary quadratic forms


Classification of rational angles in plane lattices II


Classification of real hyperplane singularities by real log canonical thresholds


Classification of social media Toxic comments using Machine learning models


Classification of torsion of elliptic curves over quartic fields


Classification of triples of lattice polytopes with a given mixed volume


Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records


Classification robustness to common optical aberrations


Classification via local manifold approximation


Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis


Classification with Costly Features in Hierarchical Deep Sets


Classification with Incoherent Kernel Dictionary Learning


Classification with Runge-Kutta networks and feature space augmentation


Classification with Strategically Withheld Data


Classification with Valid and Adaptive Coverage


Classification with abstention but without disparities


Classification, Regression and Segmentation directly from k-Space in Cardiac MRI


Classification, inference and segmentation of anomalous diffusion with recurrent neural networks


Classification-Regression for Chart Comprehension


Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs


Classification-based detection and quantification of cross-domain data bias in materials discovery


Classifier Calibration: with application to threat scores in cybersecurity


Classifier Chain Networks for Multi-Label Classification


Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift


Classifier uncertainty: evidence, potential impact, and probabilistic treatment


Classifier-Free Guidance inside the Attraction Basin May Cause Memorization


Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks


Classifier-agnostic saliency map extraction


Classifier-free Guidance with Adaptive Scaling


Classifier-free graph diffusion for molecular property targeting


Classifier-guided Gradient Modulation for Enhanced Multimodal Learning


Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise


ClassifyViStA:WCE Classification with Visual understanding through Segmentation and Attention


Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning


Classifying Anomalies THrough Outer Density Estimation (CATHODE)


Classifying Antimicrobial and Multifunctional Peptides with Bayesian Network Models


Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes


Classifying Astronomical Transients Using Only Host Galaxy Photometry


Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline


Classifying Conspiratorial Narratives At Scale: False Alarms and Erroneous Connections


Classifying Dyads for Militarized Conflict Analysis


Classifying Eye-Tracking Data Using Saliency Maps


Classifying Galaxy Morphologies with Few-Shot Learning


Classifying In-Place Gestures with End-to-End Point Cloud Learning


Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques


Classifying Nodes in Graphs without GNNs


Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid Approach


Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings


Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets


Classifying Patents Based on their Semantic Content


Classifying Primitive Solvable Permutation Groups of Rank 5 and 6


Classifying Radio Galaxies with Convolutional Neural Network


Classifying Referential and Non-referential It Using Gaze


Classifying Scientific Publications with BERT -- Is Self-Attention a Feature Selection Method?


Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection


Classifying Single Stars and Spectroscopic Binaries Using Optical Stellar Templates


Classifying Syntactic Errors in Learner Language


Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations


Classifying Unidentified X-ray Sources in the Chandra Source Catalog Using a Multiwavelength Machine-learning Approach


Classifying Unreliable Narrators with Large Language Models


Classifying X-ray Binaries: A Probabilistic Approach


Classifying YouTube Comments Based on Sentiment and Type of Sentence


Classifying acoustic cavitation with machine learning trained on multiple physical models


Classifying and characterizing the evolution of minimum orbit intersection distance for near-Earth asteroids


Classifying different types of solar wind plasma with uncertainty estimations using machine learning


Classifying finite monomial linear groups of prime degree in characteristic zero


Classifying herbal medicine origins by temporal and spectral data mining of electronic nose


Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed


Classifying multilingual party manifestos: Domain transfer across country, time, and genre


Classifying multiplets of totally real cubic fields


Classifying point clouds at the facade-level using geometric features and deep learning networks


Classifying sequences by combining context-free grammars and OWL ontologies


Classifying soft self-assembled materials via unsupervised machine learning of defects


Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning


Classifying the classifier: dissecting the weight space of neural networks


Classifying the generation and formation channels of individual LIGO-Virgo-KAGRA observations from dynamically formed binaries


Classifying topological neural network quantum states via diffusion maps


Classy Ensemble: A Novel Ensemble Algorithm for Classification


ClaudesLens: Uncertainty Quantification in Computer Vision Models


ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension


Clean Implicit 3D Structure from Noisy 2D STEM Images


Clean Label Disentangling for Medical Image Segmentation with Noisy Labels


Clean self-supervised MRI reconstruction from noisy, sub-sampled training data with Robust SSDU


Clean-Label Backdoor Attacks on Video Recognition Models


CleanAgent: Automating Data Standardization with LLM-based Agents


CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning


CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset


CleanDIFT: Diffusion Features without Noise


CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making


CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models


CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completion


CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR


CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise


CleanPatrick: A Benchmark for Image Data Cleaning


CleanStack: A New Dual-Stack for Defending Against Stack-Based Memory Corruption Attacks


CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics


Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform


Cleaner Pretraining Corpus Curation with Neural Web Scraping


Cleaning Images with Gaussian Process Regression


Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets


Cleaning foregrounds from single-dish 21cm intensity maps with Kernel Principal Component Analysis


Cleaning large-dimensional covariance matrices for correlated samples


ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation


ClearPose: Large-scale Transparent Object Dataset and Benchmark


ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language Models


Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation


Clearing noisy annotations for computed tomography imaging


CleftGAN: Adapting A Style-Based Generative Adversarial Network To Create Images Depicting Cleft Lip Deformity


Clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents


Cleora: A Simple, Strong and Scalable Graph Embedding Scheme


ClevrSkills: Compositional Language and Visual Reasoning in Robotics


ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation


CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension


CliMB: An AI-enabled Partner for Clinical Predictive Modeling


CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios


Click on Mask: A Labor-efficient Annotation Framework with Level Set for Infrared Small Target Detection


Click to Move: Controlling Video Generation with Sparse Motion


Click-Calib: A Robust Extrinsic Calibration Method for Surround-View Systems


Click-Through Rate Prediction with the User Memory Network


Click2Mask: Local Editing with Dynamic Mask Generation


Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning


ClickAgent: Enhancing UI Location Capabilities of Autonomous Agents


ClickAttention: Click Region Similarity Guided Interactive Segmentation


ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing


ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs


Clickbait Detection in Tweets Using Self-attentive Network


Clickbait Detection via Large Language Models


Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning


Clid: Identifying TLS Clients With Unsupervised Learning on Domain Names


Client Recruitment for Federated Learning in ICU Length of Stay Prediction


Client Selection for Federated Policy Optimization with Environment Heterogeneity


Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging


Client-specific Property Inference against Secure Aggregation in Federated Learning


Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing


Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting


Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off


Clifford Circuit Optimization with Templates and Symbolic Pauli Gates


Clifford Gate Optimisation and T Gate Scheduling: Using Queueing Models for Topological Assemblies


Clifford Group Equivariant Neural Networks


Clifford Group Equivariant Simplicial Message Passing Networks


Clifford gates with logical transversality for self-dual CSS codes


Clifford spinors and root system induction: $H_4$ and the Grand Antiprism


Clifford-Steerable Convolutional Neural Networks


ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models


ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows


ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs


ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures


ClimaX: A foundation model for weather and climate


Climate & BCG: Effects on COVID-19 Death Growth Rates


Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen


Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data


Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study


Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles


Climate Modelling in Low-Precision: Effects of both Deterministic & Stochastic Rounding


Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere


Climate modelling of hypothetical moon-moons in the Kepler-1625b system


Climate uncertainty impacts on optimal mitigation pathways and social cost of carbon


Climate-economy projections under shared socioeconomic pathways and net-zero scenarios


Climate-mediated shifts in temperature fluctuations promote extinction risk


Climate-sensitive Urban Planning through Optimization of Tree Placements


ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method


ClimateBert: A Pretrained Language Model for Climate-Related Text


ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change


ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling


ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning


ClimateViz: A Benchmark for Statistical Reasoning and Fact Verification on Scientific Charts


ClimateX: Do LLMs Accurately Assess Human Expert Confidence in Climate Statements?


Climbing the Ladder of Reasoning: What LLMs Can-and Still Can't-Solve after SFT?


ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images


Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific Literature


CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering


ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty


ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks


Clinica: an open source software platform for reproducible clinical neuroscience studies


Clinical Annotations for Automatic Stuttering Severity Assessment


Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network


Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding


Clinical Concept Extraction with Contextual Word Embedding


Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification


Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning


Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration


Clinical Prediction Models to Predict the Risk of Multiple Binary Outcomes: a comparison of approaches


Clinical Prompt Learning with Frozen Language Models


Clinical Reasoning over Tabular Data and Text with Bayesian Networks


Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference


Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification


Clinical knowledge in LLMs does not translate to human interactions


Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study


Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model


ClinicalGPT-R1: Pushing reasoning capability of generalist disease diagnosis with large language model


ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World


ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes


ClinicalPath: a Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making


ClinicalVis: Supporting Clinical Task-Focused Design Evaluation


Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression


Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression


Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function


Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies


Clio: A Hardware-Software Co-Designed Disaggregated Memory System


Clio: Real-time Task-Driven Open-Set 3D Scene Graphs


ClioQuery: Interactive Query-Oriented Text Analytics for Comprehensive Investigation of Historical News Archives


Clip-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments


ClipFace: Text-guided Editing of Textured 3D Morphable Models


ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation


Clipped DeepControl: deep neural network two-dimensional pulse design with an amplitude constraint layer


Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise


Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed


Clique percolation method: memory efficient almost exact communities


CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs


Cliqueformer: Model-Based Optimization with Structured Transformers


CloSe: A 3D Clothing Segmentation Dataset and Model


Cloaking for random walks using a discrete potential theory


Clock and Orientation-Robust Simultaneous Radio Localization and Mapping at Millimeter Wave Bands


Clock synchronization over networks using sawtooth models


Clockwork Diffusion: Efficient Generation With Model-Step Distillation


Clogging of soft particles in 2D hoppers


ClonEval: An Open Voice Cloning Benchmark