Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models


Visually Guided Generative Text-Layout Pre-training for Document Intelligence


Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation


Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning


Visually grounded learning of keyword prediction from untranscribed speech


Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention


Visually-Aware Context Modeling for News Image Captioning


Visually-Guided Sound Source Separation with Audio-Visual Predictive Coding


Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World


Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models


Visually-augmented pretrained language models for NLP tasks without images


Visuo-Tactile Transformers for Manipulation


Visuo-Tactile-Based Slip Detection Using A Multi-Scale Temporal Convolution Network


Visuotactile-Based Learning for Insertion with Compliant Hands


Vit-GAN: Image-to-image Translation with Vision Transformes and Conditional GANS


Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting


VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models


VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning Tasks


Vitreoretinal Surgical Robotic System with Autonomous Orbital Manipulation using Vector-Field Inequalities


Vitruvio: 3D Building Meshes via Single Perspective Sketches


VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining


VividMed: Vision Language Model with Versatile Visual Grounding for Medicine


Vivienne: Relational Verification of Cryptographic Implementations in WebAssembly


Vivim: a Video Vision Mamba for Medical Video Segmentation


VizFlyt: Perception-centric Pedagogical Framework For Autonomous Aerial Robots


VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communication


Vlasov methods in space physics and astrophysics


VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension


VmambaIR: Visual State Space Model for Image Restoration


Vo-Ve: An Explainable Voice-Vector for Speaker Identity Evaluation


VoCo-LLaMA: Towards Vision Compression with Large Language Models


VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis


VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models


VoD: Learning Volume of Differences for Video-Based Deepfake Detection


VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis


VoIDext: Vocabulary and Patterns for Enhancing Interoperable Datasets with Virtual Links


VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment


VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval


VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion


VoViT: Low Latency Graph-based Audio-Visual Voice Separation Transformer


VocBench: A Neural Vocoder Benchmark for Speech Synthesis


Vocabulary Expansion of Chat Models with Unlabeled Target Language Data


Vocabulary Learning via Optimal Transport for Neural Machine Translation


Vocabulary-free Image Classification and Semantic Segmentation


Vocabulary-informed Zero-shot and Open-set Learning


Vocal Breath Sound Based Gender Classification


Vocal Style Factorization for Effective Speaker Recognition in Affective Scenarios


Vocal Timbre Effects with Differentiable Digital Signal Processing


Vocal Tract Area Estimation by Gradient Descent


Vocal markers from sustained phonation in Huntington's Disease


VocalBench: Benchmarking the Vocal Conversational Abilities for Speech Interaction Models


VocalNet: Speech LLM with Multi-Token Prediction for Faster and High-Quality Generation


Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis


Voice Activity Detection (VAD) in Noisy Environments


Voice Activity Projection: Self-supervised Learning of Turn-taking Events


Voice Conversion With Just Nearest Neighbors


Voice Conversion using Convolutional Neural Networks


Voice Disorder Analysis: a Transformer-based Approach


Voice Signal Processing for Machine Learning. The Case of Speaker Isolation


Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forward


Voice activity detection in the wild via weakly supervised sound event detection


Voice activity detection in the wild: A data-driven approach using teacher-student training


Voice2Action: Language Models as Agent for Efficient Real-Time Interaction in Virtual Reality


Voice2Series: Reprogramming Acoustic Models for Time Series Classification


VoiceBank-2023: A Multi-Speaker Mandarin Speech Corpus for Constructing Personalized TTS Systems for the Speech Impaired


VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild


VoiceFixer: Toward General Speech Restoration with Neural Vocoder


VoiceGRPO: Modern MoE Transformers with Group Relative Policy Optimization GRPO for AI Voice Health Care Applications on Voice Pathology Detection


VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop


VoiceMe: Personalized voice generation in TTS


VoicePAT: An Efficient Open-source Evaluation Toolkit for Voice Privacy Research


VoiceRestore: Flow-Matching Transformers for Speech Recording Quality Restoration


VoiceStar: Robust Zero-Shot Autoregressive TTS with Duration Control and Extrapolation


VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning


Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects


Voices of Her: Analyzing Gender Differences in the AI Publication World


Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments


Void Filling of Digital Elevation Models with Deep Generative Models


Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play


Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding


VolDen: a tool to extract number density from the column density of filamentary molecular clouds


VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction


Volatile-rich evolution of molten super-Earth L 98-59 d


Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes


Volatility Parametrizations with Random Coefficients: Analytic Flexibility for Implied Volatility Surfaces


Volatility estimation for stochastic PDEs using high-frequency observations


Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision


Volesti: Volume Approximation and Sampling for Convex Polytopes in R


Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)


VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data


Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble


Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning


VoltaVision: A Transfer Learning model for electronic component classification


Voltage Mining for (De)lithiation-stabilized Cathodes and a Machine Learning Model for Li-ion Cathode Voltage


VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds


Volume of hyperintense inflammation (VHI): a deep learning-enabled quantitative imaging biomarker of inflammation load in spondyloarthritis


Volume-DROID: A Real-Time Implementation of Volumetric Mapping with DROID-SLAM


Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics


Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising


Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images


Volumetric Environment Representation for Vision-Language Navigation


Volumetric Fast Fourier Convolution for Detecting Ink on the Carbonized Herculaneum Papyri


Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter


Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery


Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution


Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots


Volumetric Reconstruction Applied to Perceptual Studies of Size and Weight


Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI


Volumetric Survey Speed: A Figure of Merit for Transient Surveys


Volumetric medical image segmentation through dual self-distillation in U-shaped networks


VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions


Volumetrically Consistent 3D Gaussian Rasterization


Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions


Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures


Von Mises Mixture Distributions for Molecular Conformation Generation


Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs


Von Neumann Stability Analysis for Multi-level Multi-step Methods


VoroTO: Multiscale Topology Optimization of Voronoi Structures using Surrogate Neural Networks


Voronoi Candidates for Bayesian Optimization


Voronoi Density Estimator for High-Dimensional Data: Computation, Compactification and Convergence


Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs


Voronoi complexes in higher dimensions, cohomology of $GL_N(Z)$ for $N\geq 8$ and the triviality of $K_8(Z)$


Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems


Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning


Vortex clustering, polarisation and circulation intermittency in classical and quantum turbulence


Vortex dynamics induced by scanning SQUID susceptometry


Vortex line entanglement in active Beltrami flows


Vortex-capturing multiscale spaces for the Ginzburg-Landau equation


Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting


Vote'n'Rank: Revision of Benchmarking with Social Choice Theory


VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations


VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on Twitter


Voting Booklet Bias: Stance Detection in Swiss Federal Communication


Voting Theory in the Lean Theorem Prover


Voting for the right answer: Adversarial defense for speaker verification


Voting or Consensus? Decision-Making in Multi-Agent Debate


Voting patterns in 2016: Exploration using multilevel regression and poststratification (MRP) on pre-election polls


Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion


Vox-E: Text-guided Voxel Editing of 3D Objects


Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation


Vox-Surf: Voxel-based Implicit Surface Representation


VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation


VoxCeleb Enrichment for Age and Gender Recognition


VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion


VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids


VoxInstruct: Expressive Human Instruction-to-Speech Generation with Unified Multilingual Codec Language Modelling


VoxMed: One-Step Respiratory Disease Classifier using Digital Stethoscope Sounds


VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models


VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge


VoxSim: A perceptual voice similarity dataset


Voxel Field Fusion for 3D Object Detection


Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection


Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds


Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud


Voxel datacubes for 3D visualization in Blender


Voxel-SLAM: A Complete, Accurate, and Versatile LiDAR-Inertial SLAM System


Voxel-based Network for Shape Completion by Leveraging Edge Generation


Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks


Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data


VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection


VoxelKP: A Voxel-based Network Architecture for Human Keypoint Estimation in LiDAR Data


VoxelKeypointFusion: Generalizable Multi-View Multi-Person Pose Estimation


VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment


VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis


Voxeland: Probabilistic Instance-Aware Semantic Mapping with Evidence-based Uncertainty Quantification


Voxelization based packing analysis for discrete element simulations of non-spherical particles


Voxelized 3D Feature Aggregation for Multiview Detection


Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation


Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling


Voxgraph: Globally Consistent, Volumetric Mapping using Signed Distance Function Submaps


Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction


Voyager: An Open-Ended Embodied Agent with Large Language Models


Vript: A Video Is Worth Thousands of Words


Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection


VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection


VulCurator: A Vulnerability-Fixing Commit Detector


VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector


VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models


VulMCI : Code Splicing-based Pixel-row Oversampling for More Continuous Vulnerability Image Generation


VulMatch: Binary-level Vulnerability Detection Through Signature


VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs


VulZoo: A Comprehensive Vulnerability Intelligence Dataset


VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework


Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks


Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks


Vulnerability Analysis of 2500 Docker Hub Images


Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks


Vulnerability Analysis of Time Synchronization in Automotive Ethernet


Vulnerability Detection via Topological Analysis of Attention Maps


Vulnerability Detection with Fine-grained Interpretations


Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning


Vulnerability Propagation in Package Managers Used in iOS Development


Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions


Vulnerability of Transfer-Learned Neural Networks to Data Reconstruction Attacks in Small-Data Regime


Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks


Vulnerable Smart Contract Function Locating Based on Multi-Relational Nested Graph Convolutional Network


Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages


W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy Videos


W-HMR: Monocular Human Mesh Recovery in World Space with Weak-Supervised Calibration


W-Net: A CNN-based Architecture for White Blood Cells Image Classification


W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models


W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics


W-TALC: Weakly-supervised Temporal Activity Localization and Classification


W-Trace: Robust and Effective Watermarking for GPS Trajectories


W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting


W2E (Workout to Earn): A Low Cost DApp based on ERC-20 and ERC-721 standards


W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection


W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs


W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysis


WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection


WACO: Word-Aligned Contrastive Learning for Speech Translation


WAF-A-MoLE: Evading Web Application Firewalls through Adversarial Machine Learning


WAFFLE: Finetuning Multi-Modal Model for Automated Front-End Development


WAFFLE: Watermarking in Federated Learning


WAFFLED: Exploiting Parsing Discrepancies to Bypass Web Application Firewalls


WAFT: Warping-Alone Field Transforms for Optical Flow


WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models


WAHRSIS: A Low-cost, High-resolution Whole Sky Imager With Near-Infrared Capabilities


WAIT: Feature Warping for Animation to Illustration video Translation using GANs


WAIT: Protecting the Integrity of Web Applications with Binary-Equivalent Transparency


WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification


WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction


WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging


WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents


WALLABY Pilot Survey: Star Formation Enhancement and Suppression in Gas-rich Galaxy Pairs


WANA: Symbolic Execution of Wasm Bytecode for Cross-Platform Smart Contract Vulnerability Detection


WAND: Wavelet Analysis-based Neural Decomposition of MRS Signals for Artifact Removal


WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation


WARC-DL: Scalable Web Archive Processing for Deep Learning


WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection


WARLearn: Weather-Adaptive Representation Learning


WARP-Q: Quality Prediction For Generative Neural Speech Codecs


WARP: Word-level Adversarial ReProgramming


WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions


WAS: Dataset and Methods for Artistic Text Segmentation


WASD: A Wilder Active Speaker Detection Dataset


WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments


WASM-MUTATE: Fast and Effective Binary Diversification for WebAssembly


WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks


WAT: Improve the Worst-class Robustness in Adversarial Training


WATCH: A Workflow to Assess Treatment Effect Heterogeneity in Drug Development for Clinical Trial Sponsors


WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales


WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images


WATT: Weight Average Test-Time Adaptation of CLIP


WAVER: Writing-style Agnostic Text-Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge


WAVES: Benchmarking the Robustness of Image Watermarks


WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models


WAX-ML: A Python library for machine learning and feedback loops on streaming data


WB LUTs: Contrastive Learning for White Balancing Lookup Tables


WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes


WC-SBERT: Zero-Shot Text Classification via SBERT with Self-Training for Wikipedia Categories


WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation


WDC Products: A Multi-Dimensional Entity Matching Benchmark


WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis


WDMamba: When Wavelet Degradation Prior Meets Vision Mamba for Image Dehazing


WDNet: Watermark-Decomposition Network for Visible Watermark Removal


WDV: A Broad Data Verbalisation Dataset Built from Wikidata


WDVV equations and invariant bi-Hamiltonian formalism


WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis


WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition


WEARDA: Recording Wearable Sensor Data for Human Activity Monitoring


WEASEL 2.0 -- A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification


WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models


WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models


WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology


WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?


WEIZZ: Automatic Grey-box Fuzzing for Structured Binary Formats


WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning


WESPER: Zero-shot and Realtime Whisper to Normal Voice Conversion for Whisper-based Speech Interactions


WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks


WF-UNet: Weather Fusion UNet for Precipitation Nowcasting


WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control


WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting


WG-WaveNet: Real-Time High-Fidelity Speech Synthesis without GPU


WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points


WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN


WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks


WHALES: A Multi-agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving


WHALES: an optimized retracker for satellite radar altimeter waveforms in sea state applications


WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional Neural Networks


WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue


WHOCARES: data-driven WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions


WHODUNIT: Evaluation benchmark for culprit detection in mystery stories


WHOIS Right? An Analysis of WHOIS and RDAP Consistency


WHOMP: Optimizing Randomized Controlled Trials via Wasserstein Homogeneity


WHU-Stereo: A Challenging Benchmark for Stereo Matching of High-Resolution Satellite Images


WHU-Synthetic: A Synthetic Perception Dataset for 3-D Multitask Model Research


WHoW: A Cross-domain Approach for Analysing Conversation Moderation


WI Fast Stats: a collection of web apps for the visualization and analysis of WI Fast Plants data


WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising


WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining


WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition


WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario


WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset


WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments


WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training


WILDS: A Benchmark of in-the-Wild Distribution Shifts


WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference


WINNet: Wavelet-inspired Invertible Network for Image Denoising


WISDOM project -- VIII. Multi-scale feedback cycles in the brightest cluster galaxy NGC 0708


WISE data as a photometric redshift indicator for radio AGN


WISE2MBH: A scaling-based algorithm for probing supermassive black hole masses through WISE catalogues


WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation


WISE: Whitebox Image Stylization by Example-based Learning


WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer


WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction


WIT-UAS: A Wildland-fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views


WIggle Corrector Kit for NIRSpEc Data: WICKED


WKB-based scheme with adaptive step size control for the Schrödinger equation in the highly oscillatory regime


WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning


WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection


WMCodec: End-to-End Neural Speech Codec with Deep Watermarking for Authenticity Verification


WMT24 Test Suite: Gender Resolution in Speaker-Listener Dialogue Roles


WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols


WOMBAT v2.S: A Bayesian inversion framework for attributing global CO$_2$ flux components from multiprocess data


WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving


WONDER: Weighted one-shot distributed ridge regression in high dimensions


WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks


WOOD: Wasserstein-based Out-of-Distribution Detection


WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series


WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image


WOT-Class: Weakly Supervised Open-world Text Classification


WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models


WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting


WPO: Enhancing RLHF with Weighted Preference Optimization


WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution


WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models


WPU-Net: Boundary Learning by Using Weighted Propagation in Convolution Network


WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation


WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks


WRDScore: New Metric for Evaluation of Natural Language Generation Models


WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams


WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels


WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts


WSD algorithm based on a new method of vector-word contexts proximity calculation via epsilon-filtration


WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom


WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration


WSEBP: A Novel Width-depth Synchronous Extension-based Basis Pursuit Algorithm for Multi-Layer Convolutional Sparse Coding


WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation


WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images


WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering


WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization


WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution


WSSL: Weighted Self-supervised Learning Framework For Image-inpainting


WTR: A Test Collection for Web Table Retrieval


WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels


WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images


WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification


WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake Detection


WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models


WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization Retrieval


WYWEB: A NLP Evaluation Benchmark For Classical Chinese


WaTZ: A Trusted WebAssembly Runtime Environment with Remote Attestation for TrustZone


Wafer-scale uniformity of Dolan-bridge and bridgeless Manhattan-style Josephson junctions for superconducting quantum processors


Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification


WaferLLM: Large Language Model Inference at Wafer Scale


WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects


Wagner's Algorithm Provably Runs in Subexponential Time for SIS$^\infty$


Wait, that's not an option: LLMs Robustness with Incorrect Multiple-Choice Options


Wait, wasn't that code here before? Detecting Outdated Software Documentation


Wait-Free Updates and Range Search using Uruv


Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation


WakeMint: Detecting Sleepminting Vulnerabilities in NFT Smart Contracts


WakeMod: A 6.9uW Wake-Up Radio Module with -72.6dBm Sensitivity for On-Demand IoT


Wakey-Wakey: Animate Text by Mimicking Characters in a GIF


Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot


Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs


Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration


Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions


Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks


Walk-and-Relate: A Random-Walk-based Algorithm for Representation Learning on Sparse Knowledge Graphs


WalkTheDog: Cross-Morphology Motion Alignment via Phase Manifolds


Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto


Walking Fingerprinting Using Wrist Accelerometry During Activities of Daily Living in NHANES


Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics


Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing


Walking Through Twitter: Sampling a Language-Based Follow Network of Influential Twitter Accounts


Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation


Walking in Narrow Spaces: Safety-critical Locomotion Control for Quadrupedal Robots with Duality-based Optimization


Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization


Walking into the complex plane to "order" better time integrators


Walking on the Edge: Fast, Low-Distortion Adversarial Examples


Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck


Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models


Walks obeying two-step rules on the square lattice: full, half and quarter planes


WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models


WalnutData: A UAV Remote Sensing Dataset of Green Walnuts and Model Evaluation


WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models


WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages


Wandering Within a World: Online Contextualized Few-Shot Learning


Wandering around: A bioinspired approach to visual attention through object motion sensitivity


Wannier90 as a community code: new features and applications


Wanted: standards for automatic reproducibility of computational experiments


War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars


WarCov -- Large multilabel and multimodal dataset from social platform


WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning


Warehouse Spatial Question Answering with LLM Agent


Warfare:Breaking the Watermark Protection of AI-Generated Content


Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software framework


Warlock: an automated computational workflow for simulating spatially structured tumour evolution


Warm Dark Matter Constraints Using Milky-Way Satellite Observations and Subhalo Evolution Modeling


Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings


Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings


Warm-Start Variational Quantum Policy Iteration


Warm-Starting the VQE with Approximate Complex Amplitude Encoding


Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback


WarmSPy: a numerical study of cosmological perturbations in warm inflation


Warmup-Distill: Bridge the Distribution Mismatch between Teacher and Student before Knowledge Distillation


Warning signs for non-Markovian bifurcations: colour blindness and scaling laws


Warp and Learn: Novel Views Generation for Vehicles and Other Objects


WarpCore: A Library for fast Hash Tables on GPUs


WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU


WarpGAN: Automatic Caricature Generation


WarpPINN: Cine-MR image registration with physics-informed neural networks


Warped Dynamic Linear Models for Time Series of Counts


WarpedGANSpace: Finding non-linear RBF paths in GAN latent space


Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series


WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation


Was Venus Ever Habitable? Constraints from a Coupled Interior-Atmosphere-Redox Evolution Model


Wasm-R3: Record-Reduce-Replay for Realistic and Standalone WebAssembly Benchmarks


Wasmati: An Efficient Static Vulnerability Scanner for WebAssembly


Wasmizer: Curating WebAssembly-driven Projects on GitHub


Wassersplines for Neural Vector Field--Controlled Animation


Wasserstein $K$-means for clustering probability distributions


Wasserstein $k$-Centers Clustering for Distributional Data


Wasserstein Adversarial Transformer for Cloud Workload Prediction


Wasserstein Adversarially Regularized Graph Autoencoder


Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees


Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks


Wasserstein Contraction Bounds on Closed Convex Domains with Applications to Stochastic Adaptive Control


Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning


Wasserstein Distance Guided Representation Learning for Domain Adaptation


Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains


Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration


Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection


Wasserstein Distances for Stereo Disparity Estimation


Wasserstein Distances, Geodesics and Barycenters of Merge Trees


Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context


Wasserstein Distributionally Robust Kalman Filtering


Wasserstein Distributionally Robust Shallow Convex Neural Networks


Wasserstein Embedding for Graph Learning


Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood


Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks


Wasserstein Geodesic Generator for Conditional Distributions


Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning


Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces


Wasserstein Gradient Flows of MMD Functionals with Distance Kernel and Cauchy Problems on Quantile Functions


Wasserstein Graph Distance Based on $L_1$-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees


Wasserstein Introspective Neural Networks


Wasserstein K-Means for Clustering Tomographic Projections


Wasserstein Logistic Regression with Mixed Features


Wasserstein Markets for Differentially-Private Data


Wasserstein Patch Prior for Image Superresolution


Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects


Wasserstein Task Embedding for Measuring Task Similarities


Wasserstein complexity penalization priors: a new class of penalizing complexity priors


Wasserstein distance as a new tool for discriminating cosmologies through the topology of large scale structure


Wasserstein distance bounds on the normal approximation of empirical autocovariances and cross-covariances under non-stationarity and stationarity


Wasserstein distributional robustness of neural networks


Wasserstein medians: robustness, PDE characterization and numerics


Wasserstein multivariate auto-regressive models for modeling distributional time series


Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport


Waste detection in Pomerania: non-profit project for detecting waste in environment


WasteGAN: Data Augmentation for Robotic Waste Sorting through Generative Adversarial Networks


WatChat: Explaining perplexing programs by debugging mental models


Watanabe's expansion: A Solution for the convexity conundrum


Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement


Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects


Watch Out E-scooter Coming Through: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders Ego-centric Views


Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models


Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents


Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense


Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting


Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion


Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection


Watch What You Just Said: Image Captioning with Text-Conditional Attention


Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models


Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models


Watch Your Steps: Observable and Modular Chains of Thought


Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision


Watch and learn -- a generalized approach for transferrable learning in deep neural networks via physical principles


Watch out Venomous Snake Species: A Solution to SnakeCLEF2023


Watch out! Motion is Blurring the Vision of Your Deep Neural Networks


Watch out! There may be a Human. Addressing Invisible Humans in Social Navigation


Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery


Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration


Watching TV with the Second-Party: A First Look at Automatic Content Recognition Tracking in Smart TVs


Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification


Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers


Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation


Watching the Weak Link into Your Home: An Inspection and Monitoring Toolkit for TR-069


Water Preservation in Soan River Basin using Deep Learning Techniques


Water cavitation results from the kinetic competition of bulk, surface and surface-defect nucleation events


Water emission tracing active star formation from the Milky Way to high-$z$ galaxies


Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal


WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models


WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images


WaterMono: Teacher-Guided Anomaly Masking and Enhancement Boosting for Robust Underwater Self-Supervised Monocular Depth Estimation


WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents


Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation


Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMs


Watermark Anything with Localized Messages


Watermark Faker: Towards Forgery of Digital Image Watermarking


Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal


Watermark under Fire: A Robustness Evaluation of LLM Watermarking


Watermarking Autoregressive Image Generation


Watermarking Degrades Alignment in Language Models: Analysis and Mitigation


Watermarking Images in Self-Supervised Latent Spaces


Watermarking LLMs with Weight Quantization


Watermarking Text Generated by Black-Box Language Models


Watermarking Vision-Language Pre-trained Models for Multi-modal Embedding as a Service


Watermarking for Out-of-distribution Detection


Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models


Waterproof: Educational Software for Learning How to Write Mathematical Proofs


Watset: Automatic Induction of Synsets from a Graph of Synonyms


Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction


Watts: Infrastructure for Open-Ended Learning


WattsOnAI: Measuring, Analyzing, and Visualizing Energy and Carbon Footprint of AI Workloads


Wav2CLIP: Learning Robust Audio Representations From CLIP


Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks


Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animation


Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages


WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research


WavChat: A Survey of Spoken Dialogue Models


WavCraft: Audio Editing and Generation with Large Language Models


WavJourney: Compositional Audio Creation with Large Language Models


WavReward: Spoken Dialogue Models With Generalist Reward Evaluators


WavRx: a Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic Model


WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling


Wave Measurements using Open Source Ship Mounted Ultrasonic Altimeter and Motion Correction System during the One Ocean Expedition


Wave Physics as an Analog Recurrent Neural Network


Wave effect of gravitational waves intersected with a microlens field II: an adaptive hierarchical tree algorithm and population study


Wave measurements from ship mounted sensors in the Arctic marginal ice zone


Wave optical model for tomographic volumetric additive manufacturing


Wave propagation characteristics of Parareal


Wave to Syntax: Probing spoken language models for syntax


Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction


Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement


Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function


Wave-encoding and Shuffling Enables Rapid Time Resolved Structural Imaging


Wave-equation-based inversion with amortized variational Bayesian inference


Wave-induced biases in ADCP measurements from quasi-Lagrangian platforms


WaveBeat: End-to-end beat and downbeat tracking in the time domain


WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification


WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data


WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning


WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management


WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing


WaveDM: Wavelet-Based Diffusion Models for Image Restoration


WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow Matching


WaveFake: A Data Set to Facilitate Audio Deepfake Detection


WaveFill: A Wavelet-based Generation Network for Image Inpainting


WaveFormer: transformer-based denoising method for gravitational-wave data


WaveFuse: A Unified Deep Framework for Image Fusion with Discrete Wavelet Transform


WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation


WaveNet-Volterra Neural Networks for Active Noise Control: A Fully Causal Approach


WavePaint: Resource-efficient Token-mixer for Self-supervised Inpainting


WavePlanes: Compact Hex Planes for Dynamic Novel View Synthesis


WaveRange: Wavelet-based data compression for three-dimensional numerical simulations on regular grids


WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting


WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models


WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information


Waveflow: boundary-conditioned normalizing flows applied to fermionic wavefunctions


Waveform-Specific Performance of Deep Learning-Based Super-Resolution for Ultrasound Contrast Imaging


Waveforms of molecular oscillations reveal circadian timekeeping mechanisms


Wavefront Sensing and Control with the Many Headed Hydra Modal Basis


Waveguided sources of consistent, single-temporal-mode squeezed light: the good, the bad, and the ugly


Wavelength selection by interrupted coarsening in reaction-diffusion systems


Wavelength-aware 2D Convolutions for Hyperspectral Imaging


Wavelet Convolutions for Large Receptive Fields


Wavelet Diffusion Models are fast and scalable Image Generators


Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-Resolution


Wavelet Feature Maps Compression for Image-to-Image CNNs


Wavelet Flow For Extragalactic Foreground Simulations


Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings


Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series


Wavelet Regularization Benefits Adversarial Training


Wavelet Scattering Regression of Quantum Chemical Energies


Wavelet invariants for statistically robust multi-reference alignment


Wavelet-Based Density Estimation for Persistent Homology


Wavelet-Based Network For High Dynamic Range Imaging


Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting


Wavelet-Packets for Deepfake Image Analysis and Detection


Wavelet-based Bi-dimensional Aggregation Network for SAR Image Change Detection


Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration


Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection


Wavelet-based Mamba with Fourier Adjustment for Low-light Image Enhancement


Wavelet-based Reflection Symmetry Detection via Textural and Color Histograms


Wavelet: Code-based postquantum signatures with fast verification on microcontrollers


WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing Detection


Wavelets and sparsity for Faraday tomography


Wavenilm: A causal neural network for power disaggregation from the complex power signal


Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution


WayFAST: Navigation with Predictive Traversability in the Field


WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness


Wayback Machine: A tool to capture the evolutionary behaviour of the bug reports and their triage process in open-source software systems


Wayne - A Simulator for HST WFC3 IR Grism Spectroscopy


Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering


Waypoint-Based Reinforcement Learning for Robot Manipulation Tasks


WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving


WcDT: World-centric Diffusion Transformer for Traffic Scene Generation


We Can Detect Your Bias: Predicting the Political Ideology of News Articles


We Don't Need No Adam, All We Need Is EVE: On The Variance of Dual Learning Rate And Beyond


We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty


We Need No Pixels: Video Manipulation Detection Using Stream Descriptors


We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems


We Should at Least Be Able to Design Molecules That Dock Well


We Value Your Privacy ... Now Take Some Cookies: Measuring the GDPR's Impact on Web Privacy


We are not alone ! (at least, most of us). Homonymy in large scale social groups


We are what we repeatedly do: Inducing and deploying habitual schemas in persona-based responses


We don't Need Thousand Proposals$\colon$ Single Shot Actor-Action Detection in Videos


We're Afraid Language Models Aren't Modeling Ambiguity


We're Calling an Intervention: Exploring Fundamental Hurdles in Adapting Language Models to Nonstandard Text


We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline


We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?


WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting


WeGen: A Unified Model for Interactive Multimodal Generation as We Chat


WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images


WeHelp: A Shared Autonomy System for Wheelchair Users


WeKws: A production first small-footprint end-to-end Keyword Spotting Toolkit


WeTICA: A directed search weighted ensemble based enhanced sampling method to estimate rare event kinetics in a reduced dimensional space


WeTS: A Benchmark for Translation Suggestion


WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning


WeaNF: Weak Supervision with Normalizing Flows


Weak Augmentation Guided Relational Self-Supervised Learning


Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning


Weak Lensing Reveals a Tight Connection Between Dark Matter Halo Mass and the Distribution of Stellar Mass in Massive Galaxies


Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks


Weak Novel Categories without Tears: A Survey on Weak-Shot Learning


Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes


Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems


Weak SINDy For Partial Differential Equations


Weak Supervision Performance Evaluation via Partial Identification


Weak Supervision for Fake News Detection via Reinforcement Learning


Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset


Weak Supervision with Incremental Source Accuracy Estimation


Weak error rates for option pricing under linear rough volatility


Weak gravitational lensing measurements of Abell 2744 using JWST and shear measurement algorithm pyRRG-JWST


Weak instruments in multivariable Mendelian randomization: methods and practice


Weak lensing cosmology with convolutional neural networks on noisy data


Weak lensing shear estimation beyond the shape-noise limit: a machine learning approach


Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography


Weak tracking in nonautonomous chaotic systems


Weak-Annotation of HAR Datasets using Vision Foundation Models


Weak-PDE-LEARN: A Weak Form Based Approach to Discovering PDEs From Noisy, Limited Data


Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles


Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors


Weak-instrument-robust subvector inference in instrumental variables regression: A subvector Lagrange multiplier test and properties of subvector Anderson-Rubin confidence sets


Weak-shot Fine-grained Classification via Similarity Transfer


Weak-shot Semantic Segmentation via Dual Similarity Transfer


Weak-signal extraction enabled by deep-neural-network denoising of diffraction data


Weak-to-Strong Extrapolation Expedites Alignment


Weak-to-Strong Generalization beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal Reasoning


Weak-to-Strong Jailbreaking on Large Language Models


Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models


Weak-valued correlation functions: Insights and precise readout strategies


Weak-winner phase synchronization: A curious case of weak interactions


WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming


WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection


WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining


WeakPolyp: You Only Look Bounding Box for Polyp Segmentation


WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition


WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation


Weakened magnetic braking supported by asteroseismic rotation rates of Kepler dwarfs


Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network


Weaker Than You Think: A Critical Look at Weakly Supervised Learning


Weakly Contrastive Learning via Batch Instance Discrimination and Feature Clustering for Small Sample SAR ATR


Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods


Weakly Coupled Oscillators in a Slowly Varying World


Weakly Labelled AudioSet Tagging with Attention Neural Networks


Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features


Weakly Supervised 3D Object Detection from Lidar Point Cloud


Weakly Supervised 3D Object Detection from Point Clouds


Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance


Weakly Supervised 3D Open-vocabulary Segmentation


Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples


Weakly Supervised Action Selection Learning in Video


Weakly Supervised Anomaly Detection for Chest X-Ray Image


Weakly Supervised Anomaly Detection: A Survey


Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images


Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response


Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference


Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation


Weakly Supervised Concept Map Generation through Task-Guided Graph Translation


Weakly Supervised Convolutional Dictionary Learning for Multi-Label Classification


Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos


Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval


Weakly Supervised Disentangled Generative Causal Representation Learning


Weakly Supervised Disentanglement by Pairwise Similarities


Weakly Supervised Disentanglement with Guarantees


Weakly Supervised Domain Adaptation for Built-up Region Segmentation in Aerial and Satellite Imagery


Weakly Supervised Domain-Specific Color Naming Based on Attention


Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic


Weakly Supervised Face Naming with Symmetry-Enhanced Contrastive Loss


Weakly Supervised Gaussian Contrastive Grounding with Large Multimodal Models for Video Question Answering


Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses


Weakly Supervised Grounding for VQA in Vision-Language Transformers


Weakly Supervised High-Fidelity Clothing Model Generation


Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions


Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations


Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection


Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT


Weakly Supervised Learning for Analyzing Political Campaigns on Facebook


Weakly Supervised Learning for Facial Behavior Analysis : A Review


Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations


Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media


Weakly Supervised Learning of Rigid 3D Scene Flow


Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning


Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers


Weakly Supervised Multiple Instance Learning for Whale Call Detection and Temporal Localization in Long-Duration Passive Acoustic Monitoring


Weakly Supervised Nuclei Segmentation via Instance Learning


Weakly Supervised Object Detection for Automatic Tooth-marked Tongue Recognition


Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling


Weakly Supervised Object Localization as Domain Adaption


Weakly Supervised Online Action Detection for Infant General Movements


Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild


Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition


Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark


Weakly Supervised Pre-Training for Multi-Hop Retriever


Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages


Weakly Supervised Representation Learning with Coarse Labels


Weakly Supervised Representation Learning with Sparse Perturbations


Weakly Supervised Scene Text Detection using Deep Reinforcement Learning


Weakly Supervised Segmentation Framework for Thyroid Nodule Based on High-confidence Labels and High-rationality Losses


Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering


Weakly Supervised Semantic Segmentation by Knowledge Graph Inference


Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast


Weakly Supervised Semantic Segmentation for Driving Scenes


Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping -- Challenges and Opportunities


Weakly Supervised Semantic Segmentation using Out-of-Distribution Data


Weakly Supervised Semantic Segmentation via Progressive Patch Learning


Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images


Weakly Supervised Silhouette-based Semantic Scene Change Detection


Weakly Supervised Source-Specific Sound Level Estimation in Noisy Soundscapes


Weakly Supervised Temporal Action Localization Using Deep Metric Learning


Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation


Weakly Supervised Temporal Adjacent Network for Language Grounding


Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping


Weakly Supervised Test-Time Domain Adaptation for Object Detection


Weakly Supervised Text Classification using Supervision Signals from a Language Model


Weakly Supervised Text-to-SQL Parsing through Question Decomposition


Weakly Supervised Training for Hologram Verification in Identity Documents


Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model


Weakly Supervised Video Moment Retrieval From Text Queries


Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos


Weakly Supervised Video Salient Object Detection


Weakly Supervised Video Scene Graph Generation via Natural Language Supervision


Weakly Supervised Visual Semantic Parsing


Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model


Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer


Weakly supervised anomaly detection with event-level variables


Weakly supervised cross-modal learning in high-content screening


Weakly supervised deep learning-based intracranial hemorrhage localization


Weakly supervised image segmentation for defect-based grading of fresh produce


Weakly supervised multiple instance learning histopathological tumor segmentation


Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies


Weakly supervised segmentation with cross-modality equivariant constraints


Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model


Weakly- and Semi-Supervised Panoptic Segmentation


Weakly- and Semi-supervised Evidence Extraction


Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling


Weakly-Supervised Action Localization by Generative Attention Modeling


Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning


Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment


Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors


Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding


Weakly-Supervised Camouflaged Object Detection with Scribble Annotations


Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation


Weakly-Supervised Cloud Detection with Fixed-Point GANs


Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy with Sparse Point Annotation


Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images


Weakly-Supervised Dense Action Anticipation


Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests


Weakly-Supervised Hierarchical Text Classification


Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks


Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains


Weakly-Supervised Multi-Face 3D Reconstruction


Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation


Weakly-Supervised Neural Text Classification


Weakly-Supervised Object Detection Learning through Human-Robot Interaction


Weakly-Supervised Open-Retrieval Conversational Question Answering


Weakly-Supervised Opinion Summarization by Leveraging External Information


Weakly-Supervised Optical Flow Estimation for Time-of-Flight


Weakly-Supervised Physically Unconstrained Gaze Estimation


Weakly-Supervised Questions for Zero-Shot Relation Extraction


Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation


Weakly-Supervised Salient Object Detection Using Point Supervision


Weakly-Supervised Salient Object Detection via Scribble Annotations


Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training


Weakly-Supervised Semantic Segmentation via Sub-category Exploration


Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models


Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels using Localization with a Classifier and Thresholding


Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions


Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature


Weakly-Supervised Temporal Action Localization with Bidirectional Semantic Consistency Constraint


Weakly-Supervised Temporal Article Grounding


Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement


Weakly-guided Self-supervised Pretraining for Temporal Activity Detection


Weakly-supervised 3D Pose Transfer with Keypoints


Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction


Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network


Weakly-supervised Camera Localization by Ground-to-satellite Image Registration


Weakly-supervised Caricature Face Parsing through Domain Adaptation


Weakly-supervised Contrastive Learning for Unsupervised Object Discovery


Weakly-supervised Contrastive Learning with Quantity Prompts for Moving Infrared Small Target Detection


Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages


Weakly-supervised Fingerspelling Recognition in British Sign Language Videos


Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis


Weakly-supervised Medical Image Segmentation with Gaze Annotations


Weakly-supervised ROI extraction method based on contrastive learning for remote sensing images


Weakly-supervised Semantic Parsing with Abstract Examples


Weakly-supervised Temporal Action Localization by Uncertainty Modeling


Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version


Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning


Weakly-supervised Visual Instrument-playing Action Detection in Videos


Weakly-supervised continual learning for class-incremental segmentation


Weakly-supervised forced alignment of disfluent speech using phoneme-level modeling


Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification


Weaponizing Unicodes with Deep Learning -- Identifying Homoglyphs with Weakly Labeled Data


WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19


Wearable SELD dataset: Dataset for sound event localization and detection using wearable devices around head


Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation


Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks


Wearing Masks Implies Refuting Trump?: Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020


Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels


Wearing face mask detection using deep learning through COVID-19 pandemic


Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations


Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies


WeatherBench 2: A benchmark for the next generation of data-driven global weather models


WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models


WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic Segmentation


WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions


WeatherEdit: Controllable Weather Editing with 4D Gaussian Field


WeatherFusionNet: Predicting Precipitation from Satellite Data


WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian Splatting


WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion


WeatherMesh-3: Fast and accurate operational global weather forecasting


WeatherQA: Can Multimodal Language Models Reason about Severe Weather?


WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models


WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine


Weaving Pathways for Justice with GPT: LLM-driven automated drafting of interactive legal applications


Weaving paper strips for designing of general curved surface with geometrical elasticity


Web Archives Metadata Generation with GPT-4o: Challenges and Insights


Web Mining to Inform Locations of Charging Stations for Electric Vehicles


Web Page Classification using LLMs for Crawling Support


Web Photo Source Identification based on Neural Enhanced Camera Fingerprint


Web Retrieval Agents for Evidence-Based Misinformation Detection


Web-Based Simulator of Superscalar RISC-V Processors


Web-Based VR Experiments Powered by the Crowd


Web-Bench: A LLM Code Benchmark Based on Web Standards and Frameworks


Web-Shepherd: Advancing PRMs for Reinforcing Web Agents


Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs


Web2Text: Deep Structured Boilerplate Removal


Web3 Meets Behavioral Economics: An Example of Profitable Crypto Lottery Mechanism Design


WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning


WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus


WebCanvas: Benchmarking Web Agents in Online Environments


WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations


WebGames: Challenging General-Purpose Web-Browsing AI Agents


WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch


WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset


WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning


WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents


WebSuite: Systematically Evaluating Why Web Agents Fail


WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics


WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code


WebVLN: Vision-and-Language Navigation on Websites


WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models


Weber's law based perception and the stability of animal groups


Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach


Webly Supervised Image Classification with Self-Contained Confidence


Webs of rational curves on real surfaces and a classification of real weak del Pezzo surfaces


WeditGAN: Few-Shot Image Generation via Latent Space Relocation


WeedsGalore: A Multispectral and Multitemporal UAV-based Dataset for Crop and Weed Segmentation in Agricultural Maize Fields


Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo


Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization


Weighing Exo-Atmospheres: A novel mid-resolution spectral mode for SCALES


Weighing the Galactic disk in sub-regions of the solar neighbourhood using Gaia DR2


Weight 11 compactly supported cohomology of moduli spaces of curves


Weight Averaging Improves Knowledge Distillation under Domain Shift


Weight Clipping for Deep Continual and Reinforcement Learning


Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers


Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values


Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures


Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data


Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML


Weight transport through spike timing for robust local gradients


Weight-Covariance Alignment for Adversarially Robust Neural Networks


Weight-Inherited Distillation for Task-Agnostic BERT Compression


Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning


Weight-of-evidence 2.0 with shrinkage and spline-binning


Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising


Weighted Average Gradients for Feature Attribution


Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles


Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results


Weighted Counting of Matchings in Unbounded-Treewidth Graph Families


Weighted Cox regression for the prediction of heterogeneous patient subgroups


Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition


Weighted Ensemble Models Are Strong Continual Learners


Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models


Weighted Fairness Notions for Indivisible Items Revisited


Weighted Fisher Discriminant Analysis in the Input and Feature Spaces


Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees


Weighted Geometric Mean, Minimum Mediated Set, and Optimal Simple Second-Order Cone Representation


Weighted Graph Structure Learning with Attention Denoising for Node Classification


Weighted Intersection over Union (wIoU) for Evaluating Image Segmentation


Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction


Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel


Weighted Poisson-disk Resampling on Large-Scale Point Clouds


Weighted Quasi Interpolant Spline Approximations: Properties and Applications


Weighted Random Search for CNN Hyperparameter Optimization


Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift


Weighted Scaling Approach for Metabolomics Data Analysis


Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection


Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning


Weighted Sum of Segmented Correlation: An Efficient Method for Spectra Matching in Hyperspectral Images


Weighted Sum-Rate Maximization With Causal Inference for Latent Interference Estimation


Weighted Tensor Completion for Time-Series Causal Inference


Weighted Training for Cross-Task Learning


Weighted asymmetric least squares regression with fixed-effects


Weighted cycle-based identification of influential node groups in complex networks


Weighted quantization using MMD: From mean field to mean shift via gradient flows


Weighted sparsity and sparse tensor networks for least squares approximation


Weighted-Reward Preference Optimization for Implicit Model Fusion


WeightedPose: Generalizable Cross-Pose Estimation via Weighted SVD


WeightedSHAP: analyzing and improving Shapley based feature attributions


Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation


Weighting methods for truncation by death in cluster-randomized trials


Weighting-Based Treatment Effect Estimation via Distribution Learning


Weights Augmentation: it has never ever ever ever let her model down


Weisfeiler Leman for Euclidean Equivariant Machine Learning


Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings


Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning


Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test


Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks


Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited


Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings


Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs


Weiss-Weinstein bound of frequency estimation error for very weak GNSS signals


Weld n'Cut: Automated fabrication of inflatable fabric actuators


Welfare Diplomacy: Benchmarking Language Model Cooperation


Welfare and Fairness in Multi-objective Reinforcement Learning


Welfare effects of strategic voting under scoring rules


Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue


Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding


Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends


Well, that escalated quickly: The Single-Turn Crescendo Attack (STCA)


Well-Connected Communities in Real-World and Synthetic Networks


Well-balanced finite volume schemes for hydrodynamic equations with general free energy


Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference


Well-classified Examples are Underestimated in Classification with Deep Neural Networks


Well-posedness and stability analysis of a landscape evolution model


Well-posedness of first-order acoustic wave equations and space-time finite element approximation


WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions


Wembedder: Wikidata entity embedding web service


WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark


WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition


Werewolf Arena: A Case Study in LLM Evaluation via Social Deduction


Westervelt-based modeling of ultrasound-enhanced drug delivery


WetLinks: a Large-Scale Longitudinal Starlink Dataset with Contiguous Weather Data


Wetting critical behavior in the quantum Ising model within the framework of Lindblad dissipative dynamics


WfCommons: A Framework for Enabling Scientific Workflow Research and Development


WgPy: GPU-accelerated NumPy-like array library for web browsers


WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments


Whale Detection Enhancement through Synthetic Satellite Images


WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database


What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews


What About the Precedent: An Information-Theoretic Analysis of Common Law


What Actions are Needed for Understanding Human Actions in Videos?


What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?


What All the PHUZZ Is About: A Coverage-guided Fuzzer for Finding Vulnerabilities in PHP Web Applications


What Are Good Positional Encodings for Directed Graphs?


What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores


What Are They Doing? Joint Audio-Speech Co-Reasoning


What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases


What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary


What Are the Odds? Language Models Are Capable of Probabilistic Reasoning


What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning


What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models


What Can Be Learnt With Wide Convolutional Neural Networks?


What Can Natural Language Processing Do for Peer Review?


What Can Secondary Predictions Tell Us? An Exploration on Question-Answering with SQuAD-v2.0


What Can Style Transfer and Paintings Do For Model Robustness?


What Can Transformers Learn In-Context? A Case Study of Simple Function Classes


What Can We Learn From MIMO Graph Convolutions?


What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers


What Can We Learn from State Space Models for Machine Learning on Graphs?


What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data


What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?


What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?


What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability


What Constitutes Good Contrastive Learning in Time-Series Forecasting?


What Context Features Can Transformer Language Models Use?


What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion


What Determines the Sizes of Bars in Spiral Galaxies?


What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering


What Did It Look Like: A service for creating website timelapses using the Memento framework


What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams


What Do Adversarially Robust Models Look At?


What Do Compressed Multilingual Machine Translation Models Forget?


What Do Deep Saliency Models Learn about Visual Attention?


What Do GNNs Actually Learn? Towards Understanding their Representations


What Do Graph Convolutional Neural Networks Learn?


What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?


What Do Llamas Really Think? Revealing Preference Biases in Language Model Representations


What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions


What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding


What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues


What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation


What Do You Mean `Why?': Resolving Sluices in Conversations


What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits


What Do You See in this Patient? Behavioral Testing of Clinical NLP Models


What Do You Want? User-centric Prompt Generation for Text-to-image Synthesis via Multi-turn Guidance


What Does BERT Look At? An Analysis of BERT's Attention


What Does CNN Shift Invariance Look Like? A Visualization Study


What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis


What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?


What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha


What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes


What Drives Performance in Multilingual Language Models?


What Evidence Do Language Models Find Convincing?


What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review


What Features in Prompts Jailbreak LLMs? Investigating the Mechanisms Behind Attacks


What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length


What Happened 3 Seconds Ago? Inferring the Past with Thermal Imaging


What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers


What Has Been Enhanced in my Knowledge-Enhanced Language Model?


What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context


What Have We Achieved on Non-autoregressive Translation?


What Have We Achieved on Text Summarization?


What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition


What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning


What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems


What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels


What If the Input is Expanded in OOD Detection?


What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models


What If: Generating Code to Answer Simulation Questions


What Images are More Memorable to Machines?


What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning


What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach


What Information is Necessary and Sufficient to Predict Materials Properties using Machine Learning?


What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?


What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks


What Is Missing in Multilingual Visual Reasoning and How to Fix It


What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations


What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing


What Kind of Programming Language Best Suits Integrative AGI?


What Kind of Visual Tokens Do We Need? Training-free Visual Token Pruning for Multi-modal Large Language Models from the Perspective of Graph


What Limits LLM-based Human Simulation: LLMs or Our Design?


What Lives? A meta-analysis of diverse opinions on the definition of life


What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness


What Makes A Good Story? Designing Composite Rewards for Visual Storytelling


What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights


What Makes Convolutional Models Great on Long Sequence Modeling?


What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings


What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception


What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?


What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning


What Makes Good Examples for Visual In-Context Learning?


What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?


What Makes Graph Neural Networks Miscalibrated?


What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment


What Makes Multimodal In-Context Learning Work?


What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subreddits


What Makes Pre-trained Language Models Better Zero-shot Learners?


What Makes Reading Comprehension Questions Difficult?


What Makes Reading Comprehension Questions Easier?


What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study


What Makes Teamwork Work? A Multimodal Case Study on Emotions and Diagnostic Expertise in an Intelligent Tutoring System


What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors


What Makes a Code Review Useful to OpenDev Developers? An Empirical Investigation


What Makes a Face Look like a Hat: Decoupling Low-level and High-level Visual Properties with Image Triplets


What Makes a Good Natural Language Prompt?


What Makes a Popular Academic AI Repository?


What Makes a Reward Model a Good Teacher? An Optimization Perspective


What Makes for End-to-End Object Detection?


What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning


What Makes for Good Visual Tokenizers for Large Language Models?


What Matters For Meta-Learning Vision Regression Tasks?


What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?


What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised Horizon


What Matters in Hierarchical Search for Combinatorial Reasoning Problems?


What Matters in Range View 3D Object Detection


What Meaning-Form Correlation Has to Compose With


What Multiple Images Say About the Large-Scale Mass Maps of Galaxy Clusters


What Not to Test (for Cyber-Physical Systems)


What Petri Net Obliges Us to Say: Comparing Approaches for Behavior Composition


What Planning Problems Can A Relational Neural Network Solve?


What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts


What Should Be Balanced in a "Balanced" Face Recognition Dataset?


What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use


What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?


What Was Your Prompt? A Remote Keylogging Attack on AI Assistants


What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships


What Would Happen Next? Predicting Consequences from An Event Causality Graph


What Would Jiminy Cricket Do? Towards Agents That Behave Morally


What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations


What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations


What You See Is What You Detect: Towards better Object Densification in 3D detection


What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation


What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction


What You See is What You Classify: Black Box Attributions


What You See is What You Get: Exploiting Visibility for 3D Object Detection


What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues


What You See is What You Read? Improving Text-Image Alignment Evaluation


What You Think Is What You Get: Bridge User Intent and Transfer Function Design through Multimodal Large Language Models


What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study


What Your Wearable Devices Revealed About You and Possibilities of Non-Cooperative 802.11 Presence Detection During Your Last IPIN Visit


What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation


What and When to Look?: Temporal Span Proposal Network for Video Relation Detection


What are People Talking about in #BlackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerging in Online Social Movements through the Latent Dirichlet Allocation Model


What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing


What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices


What are the Practices for Secret Management in Software Artifacts?


What are the best systems? New perspectives on NLP Benchmarking


What are they talking about? Benchmarking Large Language Models for Knowledge-Grounded Discussion Summarization


What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks


What can linearized neural networks actually say about generalization?


What can oracles teach us about the ultimate fate of life?


What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms?


What can we Learn Even From the Weakest? Learning Sketches for Programmatic Strategies


What causes the test error? Going beyond bias-variance via ANOVA


What comprises a good talking-head video generation?: A Survey and Benchmark


What do AI algorithms actually learn? - On false structures in deep learning


What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective


What do Computing Interns Discuss Online? An Empirical Analysis of Reddit Posts


What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue


What do Large Language Models Learn about Scripts?


What do Large Language Models Learn beyond Language?


What do Large Language Models Need for Machine Translation Evaluation?


What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated Text


What do Models Learn From Training on More Than Text? Measuring Visual Commonsense Knowledge


What do Transformers Know about Government?


What do Vision Transformers Learn? A Visual Exploration


What do class comments tell us? An investigation of comment evolution and practices in Pharo Smalltalk


What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity


What do different evaluation metrics tell us about saliency models?


What do navigation agents learn about their environment?


What do neural networks learn in image classification? A frequency shortcut perspective


What do pre-trained code models know about code?


What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training


What do tokens know about their characters and how do they know it?


What do we learn from inverting CLIP models?


What do writing features tell us about AI papers?


What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes


What do you Mean? The Role of the Mean Function in Bayesian Optimisation


What does 2D geometric information really tell us about 3D face shape?


What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation


What does a deep neural network confidently perceive? The effective dimension of high certainty class manifolds and their low confidence boundaries


What does a platypus look like? Generating customized prompts for zero-shot image classification


What does it mean to represent? Mental representations as falsifiable memory patterns


What does not get observed can be used to make age curves stronger: estimating player age curves using regression and imputation


What does the Knowledge Neuron Thesis Have to do with Knowledge?


What drives the accuracy of PV output forecasts?


What happens before and after: Multi-Event Commonsense in Event Coreference Resolution


What happens when a journal converts to Open Access? A bibliometric analysis


What if Eye...? Computationally Recreating Vision Evolution


What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents


What if This Modified That? Syntactic Interventions via Counterfactual Embeddings


What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal Models


What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?


What is Learned in Visually Grounded Neural Syntax Acquisition


What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy Conditions


What is More Likely to Happen Next? Video-and-Language Future Event Prediction


What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization


What is Stigma Attributed to? A Theory-Grounded, Expert-Annotated Interview Corpus for Demystifying Mental-Health Stigma


What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs


What is Wrong with Perplexity for Long-context Language Modeling?


What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions


What is a Goldilocks Face Verification Test Set?


What is a good doge? Analyzing the patrician social network of the Republic of Venice


What is a meaningful representation of protein sequences?


What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus


What is being transferred in transfer learning?


What is differential geometry: curves and surfaces


What is in Your Safe Data? Identifying Benign Data that Breaks Safety


What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?


What is the Essence of a Claim? Cross-Domain Claim Identification


What is the Funniest Number? An investigation of numerical humor


What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities


What is the Role of Small Models in the LLM Era: A Survey


What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?


What is the State of Neural Network Pruning?


What is the Visual Cognition Gap between Humans and Multimodal LLMs?


What is the Vocabulary of Flaky Tests? An Extended Replication


What is the price of abandoning dark matter? Cosmological constraints on alternative gravity theories


What is the value of experimentation & measurement?


What is to be gained by ensemble models in analysis of spectroscopic data?


What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation


What it Takes to Measure Reionization with Fast Radio Bursts


What it Thinks is Important is Important: Robustness Transfers through Input Gradients


What kind of content are you prone to tweet? Multi-topic Preference Model for Tweeters


What limits performance of weakly supervised deep learning for chest CT classification?


What made you do this? Understanding black-box decisions with sufficient input subsets


What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure


What makes math problems hard for reinforcement learning: a case study


What makes you, you? Analyzing Recognition by Swapping Face Parts


What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs


What metric to optimize for suppressing instability in a Vlasov-Poisson system?


What should a neuron aim for? Designing local objective functions based on information theory


What should be observed for optimal reward in POMDPs?


What the DAAM: Interpreting Stable Diffusion Using Cross Attention