High-performance sampling of generic Determinantal Point Processes


High-power RF amplifier for ultracold atom experiments


High-precision Quantum Monte-Carlo study of charge transport in a lattice model of molecular organic semiconductors


High-precision interpolation of stellar atmospheres with a deep neural network using a 1D convolutional auto encoder for feature extraction


High-precision measurement of the W boson mass with the CMS experiment at the LHC


High-precision numerical evaluation of Lauricella functions


High-precision regressors for particle physics


High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm


High-quality Animatable Eyelid Shapes from Lightweight Captures


High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models


High-quality Image Dehazing with Diffusion Model


High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow


High-quality Task Division for Large-scale Entity Alignment


High-rate multiplexed entanglement source based on time-bin qubits for advanced quantum networks


High-resolution CMB bispectrum estimator with flexible modal basis


High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion


High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM


High-resolution Face Swapping via Latent Semantics Disentanglement


High-resolution Image-based Malware Classification using Multiple Instance Learning


High-resolution Iterative Feedback Network for Camouflaged Object Detection


High-resolution Rainy Image Synthesis: Learning from Rendering


High-resolution agent-based modeling of COVID-19 spreading in a small town


High-resolution computer meshes of the lower body bones of an adult human female derived from CT images


High-resolution deuterium metabolic imaging of the human brain at 9.4 T using bSSFP spectral-spatial acquisitions


High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest


High-resolution neural network-driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced SSFP frequency profile


High-sensitivity extreme-ultraviolet transient absorption spectroscopy enabled by machine learning


High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement Learning


High-speed full-color computer-generated holography using a digital micromirror device and fiber-coupled RGB laser diode


High-speed in vitro intensity diffraction tomography


High-speed processing of X-ray wavefront marking data with the Unified Modulated Pattern Analysis (UMPA) model


High-temperature topological superconductivity in twisted double layer copper oxides


High-threshold quantum computing by fusing one-dimensional cluster states


High-throughput 3D shape completion of potato tubers on a harvester


High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction


High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation


High-throughput computation and structure prototype analysis for two-dimensional ferromagnetic materials


High-throughput discovery of metal oxides with high thermoelectric performance via interpretable feature engineering on small data


High-throughput intensity diffraction tomography with a computational microscope


High-throughput molecular imaging via deep learning enabled Raman spectroscopy


High-throughput property-driven generative design of functional organic molecules


High-throughput search for magnetic and topological order in transition metal oxides


High-throughput, high-resolution registration-free generated adversarial network microscopy


High-z Sudoku: A diagnostic tool for identifying robust (sub)mm redshifts


HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method


HighGuard: Cross-Chain Business Logic Monitoring of Smart Contracts


HighRES: Highlight-based Reference-less Evaluation of Summarization


Higher Memory Effects in Numerical Simulations of Binary Black Hole Mergers


Higher Operations in Perturbation Theory


Higher Order Continuity for Smooth As-Rigid-As-Possible Shape Modeling


Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes


Higher Order Recurrent Space-Time Transformer for Video Action Prediction


Higher Rank Askey-Wilson Algebras as Skein Algebras


Higher Stakes, Healthier Trust? An Application-Grounded Approach to Assessing Healthy Trust in High-Stakes Human-AI Collaboration


Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model


Higher order derivatives of the adjugate matrix and the Jordan form


Higher order interactions destroy phase transitions in Deffuant opinion dynamics model


Higher order methylation features for clustering and prediction in epigenomic studies


Higher structure maps for free resolutions of length 3 and linkage


Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks


Higher-Order DeepTrails: Unified Approach to *Trails


Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials


Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks


Higher-Order Kinematical Effects in Deeply Virtual Compton Scattering


Higher-Order Label Homogeneity and Spreading in Graphs


Higher-Order Message Passing for Glycan Representation Learning


Higher-Order Stochastic Dominance Constraints in Optimization


Higher-Order error estimates for physics-informed neural networks approximating the primitive equations


Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing


Higher-order Clustering and Pooling for Graph Neural Networks


Higher-order Derivatives of Weighted Finite-state Machines


Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes


Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions


Higher-order Quasi-Monte Carlo Training of Deep Neural Networks


Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation


Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation


Higher-order approximate confidence intervals


Higher-order dissimilarity measures for hypergraph comparison


Higher-order least squares: assessing partial goodness of fit of linear causal models


Higher-order shortest paths in hypergraphs


Higher-order stochastic integration through cubic stratification


Higher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and faster


Highest Cusped Waves for the Burgers-Hilbert equation


Highest Cusped Waves for the Fractional KdV Equations


Highest Posterior Density Intervals As Analogues to Profile Likelihood Ratio Confidence Intervals for Modes of Unimodal Distributions


Highlight Every Step: Knowledge Distillation via Collaborative Teaching


HighlightNet: Highlighting Low-Light Potential Features for Real-Time UAV Tracking


Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection


Highlights from Exoplanet Observations by the James Webb Space Telescope


Highly Accelerated EPI with Wave Encoding and Multi-shot Simultaneous Multi-Slice Imaging


Highly Accurate Dichotomous Image Segmentation


Highly Accurate FMRI ADHD Classification using time distributed multi modal 3D CNNs


Highly Accurate Prediction of NMR Chemical Shifts from Low-Level Quantum Mechanics Calculations Using Machine Learning


Highly Available Blockchain Nodes With N-Version Design


Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer


Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe


Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image


Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis


Highly Efficient Memory Failure Prediction using Mcelog-based Data Mining and Machine Learning


Highly Efficient Salient Object Detection with 100K Parameters


Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos


Highly Generalizable Models for Multilingual Hate Speech Detection


Highly Parallel Autoregressive Entity Linking with Discriminative Correction


Highly Parallelized Data-driven MPC for Minimal Intervention Shared Control


Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies


Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models


Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoop


Highly compact neutron stars in scalar-tensor theories of gravity: Spontaneous scalarization versus gravitational collapse


Highly coordinated nationwide massive travel restrictions are central to effective mitigation and control of COVID-19 outbreaks in China


Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging


Highly-Multiplexed Superconducting Detector Readout: Approachable High-Speed FPGA Design


Highly-parallelized simulation of a pixelated LArTPC on a GPU


Highway Transformer: Self-Gating Enhanced Self-Attentive Networks


Hijacking Attacks against Neural Networks by Analyzing Training Data


Hijacking Large Language Models via Adversarial In-Context Learning


Hilbert Curve Projection Distance for Distribution Comparison


Hilbert Distillation for Cross-Dimensionality Networks


Hilbert Series, Machine Learning, and Applications to Physics


Hilbert Space Embedding-based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction


Hilbert curves for efficient exploratory landscape analysis neighbourhood sampling


Hilbert space methods for approximating multi-output latent variable Gaussian processes


Hilbert's Tenth Problem in Coq (Extended Version)


Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in Children


Hillview: A trillion-cell spreadsheet for big data


Hilti SLAM Challenge 2023: Benchmarking Single + Multi-session SLAM across Sensor Constellations in Construction


Hilti-Oxford Dataset: A Millimetre-Accurate Benchmark for Simultaneous Localization and Mapping


Hindering Adversarial Attacks with Implicit Neural Representations


Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attention


Hindsight Foresight Relabeling for Meta-Reinforcement Learning


Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment


Hindsight Learning for MDPs with Exogenous Inputs


Hindsight Preference Learning for Offline Preference-based Reinforcement Learning


Hindsight Trust Region Policy Optimization


Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception


Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning


Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks


HingePlace: Harnessing the neural thresholding behavior to optimize Transcranial Electrical Stimulation


Hinode EIS: updated in-flight radiometric calibration


Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning


Hint-Based Training for Non-Autoregressive Machine Translation


Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge


HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data


Hints Help Finding and Fixing Bugs Differently in Python and Text-based Program Representations


Hints for a gravitational constant transition in Tully-Fisher data


Hints of a Local Matter Underdensity or Modified Gravity in the Low $z$ Pantheon data


Hints of spin-orbit resonances in the binary black hole population


HipBone: A performance-portable GPU-accelerated C++ version of the NekBone benchmark


HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding


Hippocluster: an efficient, hippocampus-inspired algorithm for graph clustering


Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes


HistAlign: Improving Context Dependency in Language Generation by Aligning with History


HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysis


HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction


HistRED: A Historical Document-Level Relation Extraction Dataset


Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images


Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma


Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training


HistoEncoder: a digital pathology foundation model for prostate cancer


HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis


HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling


HistoNet: Predicting size histograms of object instances


HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images


Histogram Layer Time Delay Neural Networks for Passive Sonar Classification


Histogram Layers for Neural Engineered Features


Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation


Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation


Histogram-based Parameter-efficient Tuning for Passive Sonar Classification


Histoires Morales: A French Dataset for Assessing Moral Alignment


Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)


Histomorphology-driven multi-instance learning for breast cancer WSI classification


Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization


Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels


Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks


Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology Datasets


Histopathology Slide Indexing and Search: Are We There Yet?


Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning


Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction


Historical Ink: Exploring Large Language Models for Irony Detection in 19th-Century Spanish


Historical Ink: Semantic Shift Detection for 19th Century Spanish


Historical constraints on the evolution of efficient color naming


History Data Driven Distributed Consensus in Networks


History Matters: Temporal Knowledge Editing in Large Language Model


History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting


History-Aware Conversational Dense Retrieval


History-Aware Planning for Risk-free Autonomous Navigation on Unknown Uneven Terrain


History-Aware Transformation of ReID Features for Multiple Object Tracking


History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96


History-dependence shapes causal inference of brain-behaviour relationships


Histropy: A Computer Program for Quantifications of Histograms of 2D Gray-scale Images


HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization


Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection


Hitchhiking Rides Dataset: Two decades of crowd-sourced records on stochastic traveling


Hitomi-HXT deconvolution imaging of the Crab Nebula dazzled by the Crab pulsar


Hitting the Target: Stopping Active Learning at the Cost-Based Optimum


HiveNAS: Neural Architecture Search using Artificial Bee Colony Optimization


HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting


HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features


HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation


HoSIM: Higher-order Structural Importance based Method for Multiple Local Community Detection


HoVer-UNet: Accelerating HoVerNet with UNet-based multi-class nuclei segmentation via knowledge distillation


HoW-3D: Holistic 3D Wireframe Perception from a Single Image


Hoare meets Heisenberg: A Lightweight Logic for Quantum Programs


HoarePrompt: Structural Reasoning About Program Correctness in Natural Language


Hoaxpedia: A Unified Wikipedia Hoax Articles Dataset


Hodge-Compositional Edge Gaussian Processes


HodgeNet: Learning Spectral Geometry on Triangle Meshes


HofstadterTools: A Python package for analyzing the Hofstadter model


Hogwild! Inference: Parallel LLM Generation via Concurrent Attention


Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks


Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement


Hold me tight! Influence of discriminative features on deep network boundaries


Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning


Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data


Holdouts set for safe predictive model updating


HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior


Holistic 3D Scene Understanding from a Single Image with Implicit Representation


Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges


Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction


Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models


Holistic Determination of Optoelectronic Properties using High-Throughput Spectroscopy of Surface-Guided CsPbBr$_3$ Nanowires


Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm


Holistic Geometric Feature Learning for Structured Reconstruction


Holistic Guidance for Occluded Person Re-Identification


Holistic Interaction Transformer Network for Action Detection


Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting


Holistic Prototype Attention Network for Few-Shot VOS


Holistic Representation Learning for Multitask Trajectory Anomaly Detection


Holistic Semantic Representation for Navigational Trajectory Generation


Holistic Visual-Textual Sentiment Analysis with Prior Models


Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy


Holistic chemical evaluation reveals pitfalls in reaction prediction models


Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM


Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity


HoloFace: Augmenting Human-to-Human Interactions on HoloLens


HoloLens 2 Research Mode as a Tool for Computer Vision Research


HoloNets: Spectral Convolutions do extend to Directed Graphs


HoloScope: Topology-and-Spike Aware Fraud Detection


HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation


Holodeck: Language Guided Generation of 3D Embodied AI Environments


Hologram Reasoning for Solving Algebra Problems with Geometry Diagrams


Holographic dark energy models in $f(Q,T)$ gravity and cosmic constraint


Holographic single particle imaging for weakly scattering, heterogeneous nanoscale objects


Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space


Holography and magnetohydrodynamics with dynamical gauge fields


Holography from the Wheeler-DeWitt equation


Holomorphic Curves in Moduli Spaces Are Quasi-Isometrically Immersed


Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations


Holonomic gradient method for distribution function of a weighted sum of noncentral chi-square random variables


Holonomic gradient method for the probability content of a simplex region with a multivariate normal distribution


Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset


HomDroid: Detecting Android Covert Malware by Social-Network Homophily Analysis


HomE: Homography-Equivariant Video Representation Learning


HomOpt: A Homotopy-Based Hyperparameter Optimization Method


HomPINNs: homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions


Home Action Genome: Cooperative Compositional Action Understanding


Home Electricity Data Generator (HEDGE): An open-access tool for the generation of electric vehicle, residential demand, and PV generation profiles


Home Energy Management with Dynamic Tariffs and Tiered Peak Power Charges


Home-to-school pedestrian mobility GPS data from a citizen science experiment in the Barcelona area


HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devices


Homeostasis: Design and Implementation of a Self-Stabilizing Compiler


Homepage2Vec: Language-Agnostic Website Embedding and Classification


HomoGCL: Rethinking Homophily in Graph Contrastive Learning


Homoclinic puzzles and chaos in a nonlinear laser model


Homodyne Detection Quadrature Phase Shift Keying Continuous-Variable Quantum Key Distribution with High Excess Noise Tolerance


Homogeneity-Based Transmissive Process to Model True and False News in Social Networks


Homogeneous Architecture Augmentation for Neural Predictor


Homogeneous Linear Inequality Constraints for Neural Network Activations


Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization


Homogeneous Tokenizer Matters: Homogeneous Visual Tokenizer for Remote Sensing Image Understanding


Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks


Homogeneous and Heterogeneous Relational Graph for Visible-infrared Person Re-identification


Homogenization of Multi-agent Learning Dynamics in Finite-state Markov Games


Homogenization of large deforming fluid-saturated porous structures


Homogenization of peristaltic flows in piezoelectric porous media


Homogenization of the fluid-saturated piezoelectric porous media


Homogenization of the vibro-acoustic transmission on periodically perforated elastic plates with arrays of resonators


Homography Guided Temporal Fusion for Road Line and Marking Segmentation


Homography Loss for Monocular 3D Object Detection


Homography-Based Loss Function for Camera Pose Regression


Homography-based Visual Servoing with Remote Center of Motion for Semi-autonomous Robotic Endoscope Manipulation


Homological Convolutional Neural Networks


Homological Lagrangian monodromy for some monotone tori


Homological Neural Networks: A Sparse Architecture for Multivariate Complexity


Homological Quantum Rotor Codes: Logical Qubits from Torsion


Homological Time Series Analysis of Sensor Signals from Power Plants


Homological representations of low genus mapping class groups


Homologous nodes in annotated complex networks


Homology representations of compactified configurations on graphs applied to $\mathcal{M}_{2,n}$


Homology-constrained vector quantization entropy regularizer


Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions


Homomorphism Counts for Graph Neural Networks: All About That Basis


Homomorphisms and Embeddings of STRIPS Planning Models


Homonymy Information for English WordNet


Homophily modulates double descent generalization in graph convolution networks


Homophily-adjusted social influence estimation


Homophily-enhanced Structure Learning for Graph Clustering


Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers


Homothetic tube model predictive control with multi-step predictors


Homotopic Path Set Planning for Robot Manipulation and Navigation


Homotopies and Maps between Eigenvalues of some Generalized Lucas Sequences and the Mandelbrot Set


Homotopy techniques for analytic combinatorics in several variables


Homotopy-Aware Multi-Agent Path Planning on Plane


Homotopy-based training of NeuralODEs for accurate dynamics discovery


Hone as You Read: A Practical Type of Interactive Summarization


Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental Sciences


Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs


HonestFace: Towards Honest Face Restoration with One-Step Diffusion Model


HonestLLM: Toward an Honest and Helpful Large Language Model


Honesty is the Best Policy: On the Accuracy of Apple Privacy Labels Compared to Apps' Privacy Policies


Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention


Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale


HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models


HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science


HoneyEVSE: An Honeypot to emulate Electric Vehicle Supply Equipments


HoneyTop90: A 90-line MATLAB code for topology optimization using honeycomb tessellation


Honeyquest: Rapidly Measuring the Enticingness of Cyber Deception Techniques with Code-based Questionnaires


Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning


Hoodwinked: Deception and Cooperation in a Text-Based Game for Language Models


HookChain: A new perspective for Bypassing EDR Solutions


HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images


Hooks in the Headline: Learning to Generate Headlines with Controlled Styles


Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks


HopRank: How Semantic Structure Influences Teleportation in PageRank (A Case Study on BioPortal)


HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text Corpora


HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios


Hope Speech Detection on Social Media Platforms


Hopf Bifurcations of Reaction Networks with Zero-One Stoichiometric Coefficients


Hopf algebras and solvable unitary circuits


Hopf bifurcations in the full SKT model and where to find them


HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations


Hopfield-Enhanced Deep Neural Networks for Artifact-Resilient Brain State Decoding


Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval


Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems


Hopper: Modeling and Detecting Lateral Movement (Extended Report)


Hopper: Multi-hop Transformer for Spatiotemporal Reasoning


Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries


Hopular: Modern Hopfield Networks for Tabular Data


HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks


Horizon-wise Learning Paradigm Promotes Gene Splicing Identification


Horizontal Fourier transform of the polyanalytic Fock kernel


Horizontal Pyramid Matching for Person Re-identification


Horizontal Scaling of Transaction-Creating Machines


Horseshoe shrinkage methods for Bayesian fusion estimation


Horticultural Temporal Fruit Monitoring via 3D Instance Segmentation and Re-Identification using Point Clouds


Horus: Using Sensor Fusion to Combine Infrastructure and On-board Sensing to Improve Autonomous Vehicle Safety


Hospitalization Length of Stay Prediction using Patient Event Sequences


Host group degeneracy in gravitational lensing time delay determination of $H_0$


Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training


Host-pathogen coevolution and the emergence of broadly neutralizing antibodies in chronic infections


HostPhot: global and local photometry of galaxies hosting supernovae or other transients


Hostile Counterspeech Drives Users From Hate Subreddits


Hostility Detection in Hindi leveraging Pre-Trained Language Models


Hot Jupiter formation in dense clusters: secular chaos in multi-planetary systems


Hot Jupiters, cold kinematics: High phase space densities of host stars reflect an age bias


Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models


HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset


Hotels-50K: A Global Hotel Recognition Dataset


HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering


Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension


Hotter and Colder: A New Approach to Annotating Sentiment, Emotions, and Bias in Icelandic Blog Comments


Hough2Map -- Iterative Event-based Hough Transform for High-Speed Railway Mapping


Hound: Locating Cryptographic Primitives in Desynchronized Side-Channel Traces Using Deep-Learning


HourVideo: 1-Hour Video-Language Understanding


Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation


HousE: Knowledge Graph Embedding with Householder Parameterization


House price estimation from visual and textual features


HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios


HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising


HouseX: A Fine-grained House Music Dataset and its Potential in the Music Industry


Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on Gaussian and Random Orthogonal Ensembles


Householder Projector for Unsupervised Latent Semantics Discovery


Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective


Housekeep: Tidying Virtual Households using Commonsense Reasoning


Housing Forecasts via Stock Market Indicators


How "Multi" is Multi-Document Summarization?


How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries


How AI and Human Behaviors Shape Psychosocial Effects of Chatbot Use: A Longitudinal Randomized Controlled Study


How About Kind of Generating Hedges using End-to-End Neural Models?


How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure


How Accurate is the Positioning in VR? Using Motion Capture and Robotics to Compare Positioning Capabilities of Popular VR Headsets


How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States


How Astronomers View Education and Public Outreach: An Exploratory Study


How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform


How Bayesian Should Bayesian Optimisation Be?


How Benchmark Prediction from Fewer Data Misses the Mark


How Biased are Your Features?: Computing Fairness Influence Functions with Global Sensitivity Analysis


How Breakable Is Privacy: Probing and Resisting Model Inversion Attacks in Collaborative Inference


How COVID-19 has Impacted the Anti-Vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era


How Can Datacenters Join the Smart Grid to Address the Climate Crisis? Using simulation to explore power and cost effects of direct participation in the energy market


How Can Energy Communities Provide Grid Services? A Dynamic Pricing Mechanism with Budget Balance, Individual Rationality, and Fair Allocation


How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation


How Can Recommender Systems Benefit from Large Language Models: A Survey


How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook


How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?


How Can We Know What Language Models Know?


How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering


How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study


How Close Dark Matter Halos and MOND Are to Each Other: Three-Dimensional Tests Based on Gaia DR2


How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection


How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns


How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models


How Constraints Affect Content: The Case of Twitter's Switch from 140 to 280 Characters


How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence


How Contentious Terms About People and Cultures are Used in Linked Open Data


How Control Information Influences Multilingual Text Image Generation and Editing?


How Convolutional Neural Networks Deal with Aliasing


How Correlated Adsorbate Dynamics on Realistic Substrates Can Give Rise to 1/ω Electric-Field Noise in Surface Ion Traps


How Correlated are Community-aware and Classical Centrality Measures in Complex Networks?


How Crucial is Transformer in Decision Transformer?


How Curvature Enhance the Adaptation Power of Framelet GCNs


How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning


How Data Scientists Review the Scholarly Literature


How Dataflow Diagrams Impact Software Security Analysis: an Empirical Experiment


How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?


How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model


How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset


How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements


How Did We Get Here? Summarizing Conversation Dynamics


How Different Are Different diff Algorithms in Git?


How Different Is Stereotypical Bias Across Languages?


How Different are Pre-trained Transformers for Text Ranking?


How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study


How Do Developers Use Code Suggestions in Pull Request Reviews?


How Do Fair Decisions Fare in Long-term Qualification?


How Do Humans Write Code? Large Models Do It the Same Way Too


How Do Hyperedges Overlap in Real-World Hypergraphs? -- Patterns, Measures, and Generators


How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation


How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training


How Do Large Language Models Acquire Factual Knowledge During Pretraining?


How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances


How Do Mothers and Fathers Talk About Parenting to Different Audiences?: Stereotypes and Audience Effects: An Analysis of r/Daddit, r/Mommit, and r/Parenting Using Topic Modelling


How Do Multimodal Large Language Models Handle Complex Multimodal Reasoning? Placing Them in An Extensible Escape Game


How Do Training Methods Influence the Utilization of Vision Models?


How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding


How Do We Answer Complex Questions: Discourse Structure of Long-form Answers


How Do We Fail? Stress Testing Perception in Autonomous Vehicles


How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs


How Do You Want Your Greedy: Simultaneous or Repeated?


How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities?


How Document Pre-processing affects Keyphrase Extraction Performance


How Does A Text Preprocessing Pipeline Affect Ontology Syntactic Matching?


How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and Model


How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations


How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?


How Does Critical Batch Size Scale in Pre-training?


How Does Data Augmentation Affect Privacy in Machine Learning?


How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets


How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?


How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis


How Does Gender Balance In Training Data Affect Face Recognition Accuracy?


How Does Information Bottleneck Help Deep Learning?


How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View


How Does Message Passing Improve Collaborative Filtering?


How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?


How Does Response Length Affect Long-Form Factuality


How Does Selective Mechanism Improve Self-Attention Networks?


How Does Unlabeled Data Provably Help Out-of-Distribution Detection?


How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?


How Domain Terminology Affects Meeting Summarization Performance


How EEG preprocessing shapes decoding performance


How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?


How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts


How Effective Are Neural Networks for Fixing Security Vulnerabilities


How Effective Can Dropout Be in Multiple Instance Learning ?


How Effective are State Space Models for Machine Translation?


How Effectively Do LLMs Extract Feature-Sentiment Pairs from App Reviews?


How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark


How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task


How Energy-Efficient Can a Wireless Communication System Become?


How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment


How Expressive are Transformers in Spectral Domain for Graphs?


How False Data Affects Machine Learning Models in Electrochemistry?


How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings


How Far Are LLMs from Believable AI? A Benchmark for Evaluating the Believability of Human Behavior Simulation


How Far Are We From AGI: Are LLMs All We Need?


How Far Are We from Intelligent Visual Deductive Reasoning?


How Far Are We from Optimal Reasoning Efficiency?


How Far Are We from Predicting Missing Modalities with Foundation Models?


How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments


How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data


How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting


How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification


How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison


How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad


How Far Can We Compress Instant-NGP-Based NeRF?


How Far Can We Extract Diverse Perspectives from Large Language Models?


How Far Can We Go with Practical Function-Level Program Repair?


How Far Does the Predictive Decision Impact the Software Project? The Cost, Service Time, and Failure Analysis from a Cross-Project Defect Prediction Model


How Far Have We Gone in Vulnerability Detection Using Large Language Models


How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation


How Far are We from Robust Long Abstractive Summarization?


How Flawed Is ECE? An Analysis via Logit Smoothing


How Fragile is Relation Extraction under Entity Replacements?


How Framelets Enhance Graph Neural Networks


How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context


How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images


How Gamification Affects Software Developers: Cautionary Evidence from a Natural Experiment on GitHub


How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation


How Generalizable are Deepfake Image Detectors? An Empirical Study


How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation


How Good Are LLMs at Out-of-Distribution Detection?


How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs


How Good Are Multi-dimensional Learned Indices? An Experimental Survey


How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound


How Good Is Open Bicycle Infrastructure Data? A Countrywide Case Study of Denmark


How Good are LLMs at Relation Extraction under Low-Resource Scenario? Comprehensive Evaluation


How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks


How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainability


How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges


How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models


How Good is my Histopathology Vision-Language Foundation Model? A Holistic Benchmark


How Good is the Model in Model-in-the-loop Event Coreference Resolution Annotation?


How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs


How Graph Convolutions Amplify Popularity Bias for Recommendation?


How Graph Neural Networks Learn: Lessons from Training Dynamics


How Grounded is Wikipedia? A Study on Structured Evidential Support


How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics


How Hate Speech Varies by Target Identity: A Computational Analysis


How Hateful are Movies? A Study and Prediction on Movie Subtitles


How I Learned to Stop Worrying and Love Retraining


How I failed machine learning in medical imaging -- shortcomings and recommendations


How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective


How Inclusively do LMs Perceive Social and Moral Norms?


How Influencers and Multipliers Drive Polarization and Issue Alignment on Twitter/X


How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients


How Interpretable Are Interpretable Graph Neural Networks?


How Interpretable and Trustworthy are GAMs?


How Interpretable are Reasoning Explanations from Prompting Large Language Models?


How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark


How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs


How Knowledge Distillation Mitigates the Synthetic Gap in Fair Face Recognition


How LLMs Learn: Tracing Internal Representations with Sparse Autoencoders


How Language Model Hallucinations Can Snowball


How Language Models Prioritize Contextual Grammatical Cues?


How Large Are Lions? Inducing Distributions over Quantitative Attributes


How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study


How Large Language Models are Transforming Machine-Paraphrased Plagiarism


How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection


How Large is the Universe of RNA-Like Motifs? A Clustering Analysis of RNA Graph Motifs Using Topological Descriptors


How Learner Control and Explainable Learning Analytics on Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice


How Lightning's Routing Diminishes its Anonymity


How Likely Do LLMs with CoT Mimic Human Reasoning?


How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling


How Low Can We Go: Trading Memory for Error in Low-Precision Training


How Low Can We Go? Minimizing Interaction Samples for Configurable Systems


How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings


How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension


How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem


How Many Data Samples is an Additional Instruction Worth?


How Many Equations of Motion Describe a Moving Human?


How Many Events do You Need? Event-based Visual Place Recognition Using Sparse But Varying Pixels


How Many Pages? Paper Length Prediction from the Metadata


How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments


How Many Ratings per Item are Necessary for Reliable Significance Testing?


How Many Twists Do Solar Coronal Jets Release?


How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs


How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking


How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold


How Many Views Are Needed to Reconstruct an Unknown Object Using NeRF?


How Many and Which Training Points Would Need to be Removed to Flip this Prediction?


How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks


How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior


How Morphological Computation shapes Integrated Information in Embodied Agents


How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks


How Much Can Time-related Features Enhance Time Series Forecasting?


How Much Can We Forget about Data Contamination?


How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization


How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage?


How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks before and after Fine-tuning


How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers


How Much Freedom Does An Effectiveness Metric Really Have?


How Much Knowledge Can You Pack Into the Parameters of a Language Model?


How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?


How Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice Based on Over 60 Replicated Studies


How Much Temporal Long-Term Context is Needed for Action Segmentation?


How Much are Large Language Models Contaminated? A Comprehensive Survey and the LLMSanitize Library


How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions


How Much is Unseen Depends Chiefly on Information About the Seen


How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey


How Neural Processes Improve Graph Link Prediction


How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference


How Often Do Single-Statement Bugs Occur? The ManySStuBs4J Dataset


How Optimal is Greedy Decoding for Extractive Question Answering?


How Out-of-Distribution Data Hurts Semi-Supervised Learning


How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models


How Players Play Games: Observing the Influences of Game Mechanics


How Powerful are K-hop Message Passing Graph Neural Networks


How Powerful are Spectral Graph Neural Networks


How Powerful is Graph Filtering for Recommendation


How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench


How Prevalent is Gender Bias in ChatGPT? -- Exploring German and English ChatGPT Responses


How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines


How Private Is Your RL Policy? An Inverse RL Based Analysis Framework


How Private is Android's Private DNS Setting? Identifying Apps by Encrypted DNS Traffic


How Programming Concepts and Neurons Are Shared in Code Language Models


How RL Agents Behave When Their Actions Are Modified


How Ready Is DNS for an IPv6-Only World?


How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data


How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG


How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions?


How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?


How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset


How Robust is Google's Bard to Adversarial Image Attacks?


How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies


How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy


How Secure is Code Generated by ChatGPT?


How Shift Equivariance Impacts Metric Learning for Instance Segmentation


How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue Corpus


How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?


How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study


How Should We Represent History in Interpretable Models of Clinical Policies?


How Social Network Structure Impacts the Ability of Zealots to Promote Weak Opinions


How Sparse Can We Prune A Deep Network: A Fundamental Limit Viewpoint


How Speech is Recognized to Be Emotional - A Study Based on Information Decomposition


How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features


How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?


How Susceptible are Large Language Models to Ideological Manipulation?


How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertainty


How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement


How To Program Your Own Quantum Computer or QUBE: QUantum computing for BEginners


How To Train Your Deep Multi-Object Tracker


How Train-Test Leakage Affects Zero-shot Retrieval


How Transferable are Attribute Controllers on Pretrained Multilingual Translation Models?


How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation Systems


How Transformers Learn Causal Structure with Gradient Descent


How Transitive Are Real-World Group Interactions? -- Measurement and Reproduction


How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities


How Two-Layer Neural Networks Learn, One (Giant) Step at a Time


How Unique is Whose Web Browser? The role of demographics in browser fingerprinting among US users


How Universal is Genre in Universal Dependencies?


How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels


How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?


How Vocabulary Sharing Facilitates Multilingualism in LLaMA?


How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks?


How We Refute Claims: Automatic Fact-Checking through Flaw Identification and Explanation


How We Won the ISLES'24 Challenge by Preprocessing


How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO


How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models


How Well Do LLMs Identify Cultural Unity in Diversity?


How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions


How Well Do Large Language Models Truly Ground?


How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions


How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain Machine Translation


How Well Do Multi-hop Reading Comprehension Models Understand Date Information?


How Well Do Self-Supervised Models Transfer?


How Well Do Text Embedding Models Understand Syntax?


How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image Domain? An Empirical Study Involving Art Classification


How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation


How Well Does Your Tabular Generator Learn the Structure of Tabular Data?


How Well Does the Metropolis Algorithm Cope With Local Optima?


How Well do Feature Visualizations Support Causal Understanding of CNN Activations?


How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies


How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface


How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios


How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection


How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data


How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval


How a student becomes a teacher: learning and forgetting through Spectral methods


How adaptive immunity constrains the composition and fate of large bacterial populations


How are Project-Specific Forums Utilized? A Study of Participation, Content, and Sentiment in the Eclipse Ecosystem


How baryons can significantly bias cluster count cosmology


How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language


How can classical multidimensional scaling go wrong?


How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?


How cancer emerges: Data-driven universal insights into tumorigenesis via hallmark networks


How causal perspectives can inform problems in computational neuroscience


How chromophore labels shape the structure and dynamics of a peptide hydrogel


How consistent is my model with the data? Information-Theoretic Model Check


How could Neural Networks understand Programs?


How deep convolutional neural networks lose spatial information with training


How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking


How do Language Models Bind Entities in Context?


How do Large Language Models Handle Multilingualism?


How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective


How do Magnetic Field Models Affect Astrophysical Limits on Light Axion-like Particles? An X-ray Case Study with NGC 1275


How do Software Engineering Researchers Use GitHub? An Empirical Study of Artifacts & Impact


How do atomic code uncertainties affect abundance measurements in the intracluster medium?


How do baryonic effects on the cosmic matter distribution vary with scale and local density environment?


How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in Japanese


How do lexical semantics affect translation? An empirical study


How do people describe locations during a natural disaster: an analysis of tweets from Hurricane Harvey


How do the dynamics of the Milky Way -- Large Magellanic Cloud system affect gamma-ray constraints on particle dark matter?


How do wavelength correlations affect transmission spectra? Application of a new fast and flexible 2D Gaussian process framework to transiting exoplanet spectroscopy


How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection


How do you go where? Improving next location prediction by learning travel mode information using transformers


How does Contrastive Learning Organize Images?


How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability


How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?


How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications


How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes


How does Transformer Learn Implicit Reasoning?


How does Twitter account moderation work? Dynamics of account creation and suspension on Twitter during major geopolitical events


How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks


How does fake news use a thumbnail? CLIP-based Multimodal Detection on the Unrepresentative News Image


How does overparametrization affect performance on minority groups?


How does spatial structure affect psychological restoration? A method based on Graph Neural Networks and Street View Imagery


How does the pre-training objective affect what large language models learn about linguistic properties?


How does the task complexity of masked pretraining objectives affect downstream performance?


How emoji and word embedding helps to unveil emotional transitions during online messaging


How fair are we? From conceptualization to automated assessment of fairness definitions


How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees


How good are detection proposals, really?


How good is my story? Towards quantitative metrics for evaluating LLM-generated XAI narratives


How informative are summaries of the cosmic 21-cm signal?


How intelligent are convolutional neural networks?


How interfacial tension enhances drag in turbulent Taylor-Couette flow with neutrally buoyant and equally viscous droplets


How is BERT surprised? Layerwise detection of linguistic anomalies


How is Testing Related to Single Statement Bugs?


How language models extrapolate outside the training data: A case study in Textualized Gridworld


How likely are Snowball episodes near the inner edge of the habitable zone?


How limiting is optical follow-up for fast radio burst applications? Forecasts for radio and optical surveys


How long does it take for coupled multi-species reaction-diffusion processes to effectively reach steady state?


How many acres of potatoes does a society need?


How many degrees of freedom do we need to train deep networks: a loss landscape perspective


How many perturbations break this model? Evaluating robustness beyond adversarial accuracy


How many submissions does it take to discover friendly suggested reviewers?


How many words does ChatGPT know? The answer is ChatWords


How mass surveillance can crowd out installations of COVID-19 contact tracing apps


How memory architecture affects learning in a simple POMDP: the two-hypothesis testing problem


How morphological development can guide evolution


How much can one learn from a single solution of a PDE?


How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?


How much do LLMs learn from negative examples?


How much do we know the halo mass function? Predictions beyond resolution


How much does it cost to complete a sticker collection? A simulation study using R


How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?


How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion


How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP)


How much longer do you have to drive than the crow has to fly?


How much of the past matters? Using dynamic survival models for the monitoring of potassium in heart failure patients using electronic health records


How network properties and epidemic parameters influence stochastic SIR dynamics on scale-free random networks


How norms shape the evolution of prosocial behavior. Compassion, Universalizability, Reciprocity, Equity: A C.U.R.E for social dilemmas


How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching


How often does a cubic hypersurface have a rational point?


How often does the best team win? A unified approach to understanding randomness in North American sport


How open are hybrid journals included in transformative agreements?


How pairwise coevolutionary models capture the collective residue variability in proteins


How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech


How quantum and evolutionary algorithms can help each other: two examples


How reparametrization trick broke differentially-private text representation learning


How research programs come apart: the example of supersymmetry and the disunity of physics


How self-regulation, the storage effect and their interaction contribute to coexistence in stochastic and seasonal environments


How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts


How should we aggregate ratings? Accounting for personal rating scales via Wasserstein barycenters


How should we evaluate supervised hashing?


How should we score athletes and candidates: geometric scoring rules


How simple can you go? An off-the-shelf transformer approach to molecular dynamics


How susceptible are LLMs to Logical Fallacies?


How the Misuse of a Dataset Harmed Semantic Clone Detection


How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching


How the interplay between power concentration, competition, and propagation affects the resource efficiency of distributed ledgers


How time and pollster history affect U.S. election forecasts under a compartmental modeling approach


How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions


How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets


How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input?


How to Add Baskets to an Ongoing Basket Trial with Information Borrowing


How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions


How to Blend Concepts in Diffusion Models


How to Boost Face Recognition with StyleGAN?


How to Build User Simulators to Train RL-based Dialog Systems


How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions


How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review


How to Combine Membership-Inference Attacks on Multiple Updated Models


How to Configure Good In-Context Sequence for Visual Question Answering


How to Configure Masked Event Anomaly Detection on Software Logs?


How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement Learning


How to Correctly do Semantic Backpropagation on Language-based Agentic Systems


How to Craft Backdoors with Unlabeled Data Alone?


How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild


How to Detect Network Dependence in Latent Factor Models? A Bias-Corrected CD Test


How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey


How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?


How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives


How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images


How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model


How to Emulate Web Traffic Using Standard Load Testing Tools


How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading


How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning


How to Estimate Model Transferability of Pre-Trained Speech Models?


How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem


How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance


How to Evaluate Word Representations of Informal Domain?


How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation


How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection


How to Find Actionable Static Analysis Warnings: A Case Study with FindBugs


How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation


How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks


How to Forget Clients in Federated Online Learning to Rank?


How to Get Your LLM to Generate Challenging Problems for Evaluation


How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study


How to Identify Class Comment Types? A Multi-language Approach for Class Comment Classification


How to Improve Deep Learning for Software Analytics (a case study with code smell detection)


How to Infer Repeat Structures in MIDI Performances


How to Initialize your Network? Robust Initialization for WeightNorm & ResNets


How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification


How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy


How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective


How to Leverage Digit Embeddings to Represent Numbers?


How to Leverage Diverse Demonstrations in Offline Imitation Learning


How to Leverage Multimodal EHR Data for Better Medical Predictions?


How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval


How to Listen? Rethinking Visual Sound Localization


How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization


How to Measure the Performance of a Collaborative Research Center


How to Measure the Reproducibility of System-oriented IR Experiments


How to Play Optimally for Regular Objectives?


How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study


How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation


How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations


How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings


How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation


How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN


How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation


How to Reduce Change Detection to Semantic Segmentation


How to Retrain Recommender System? A Sequential Meta-Learning Method


How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective


How to Save My Gas Fees: Understanding and Detecting Real-world Gas Issues in Solidity Programs


How to Securely Prune Bitcoin's Blockchain


How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models


How to Select Datapoints for Efficient Human Evaluation of NLG Models?


How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents


How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?


How to Solve Contextual Goal-Oriented Problems with Offline Datasets?


How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation


How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection


How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?


How to Trace Latent Generative Model Generated Images without Artificial Watermark?


How to Train Long-Context Language Models (Effectively)


How to Train Neural Field Representations: A Comprehensive Study and Benchmark


How to Train Neural Networks for Flare Removal


How to Train Your Agent to Read and Write


How to Train Your MAML to Excel in Few-Shot Classification


How to Train Your Metamorphic Deep Neural Network


How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective


How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change


How to Train the Teacher Model for Effective Knowledge Distillation


How to Train your Antivirus: RL-based Hardening through the Problem-Space


How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control


How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language Adapters


How to Understand Limitations of Generative Networks


How to Use Diffusion Priors under Sparse Views?


How to Use Dropout Correctly on Residual Networks with Batch Normalization


How to Use K-means for Big Data Clustering?


How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing


How to Write a Simulator for Quantum Circuits from Scratch: A Tutorial


How to answer a small batch of RMQs or LCA queries in practice


How to best use Syntax in Semantic Role Labelling


How to build an Open Science Monitor based on publications? A French perspective


How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model


How to build your own ASP-based system?!


How to choose the most appropriate centrality measure? A decision tree approach


How to choose your best allies for a transferable attack?


How to cluster nearest unique nodes from different classes using JJCluster in Wisp application?


How to derive skill from the Fractions Skill Score


How to develop, externally validate, and update multinomial prediction models


How to disagree well: Investigating the dispute tactics used on Wikipedia


How to estimate time-varying Vector Autoregressive Models? A comparison of two methods


How to explain ENDF-6 to computers: A formal ENDF format description language


How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series


How to find all connections in the Pantelides algorithm for delay differential-algebraic equations


How to handle negative interest rates in a CIR framework


How to make latent factors interpretable by feeding Factorization machines with knowledge graphs


How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology


How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?


How to quantify the coherence of a set of beliefs


How to reduce dimension with PCA and random projections?


How to reduce the search space of Entity Resolution: with Blocking or Nearest Neighbor search?


How to scale hyperparameters for quickshift image segmentation


How to tackle an emerging topic? Combining strong and weak labels for Covid news NER


How to talk so AI will learn: Instructions, descriptions, and autonomy


How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning


How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking


How to train your draGAN: A task oriented solution to imbalanced classification


How to train your ears: Auditory-model emulation for large-dynamic-range inputs and mild-to-severe hearing losses


How to train your solver: A method of manufactured solutions for weakly-compressible SPH


How to train your solver: Verification of boundary conditions for smoothed particle hydrodynamics


How to use model architecture and training environment to estimate the energy consumption of DL training


How to verify that a given process is a Lévy-Driven Ornstein-Uhlenbeck Process


How to verify the precision of density-functional-theory implementations via reproducible and universal workflows


How to write a CHI paper (asking for a friend)


How transformers learn structured data: insights from hierarchical filtering


How trustworthy is your tree? Bayesian phylogenetic effective sample size through the lens of Monte Carlo error


How useful is Active Learning for Image-based Plant Phenotyping?


How we browse: Measurement and analysis of digital behavior


How weakened cold pools open for convective self-aggregation


How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction


How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?


How well do Large Language Models perform in Arithmetic tasks?


How well do Network Models predict Observations? On the Importance of Predictability in Network Models


How well do you know your summarization datasets?


How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach


How you feelin'? Learning Emotions and Mental States in Movie Scenes


How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User Engagement


How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language


HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles


HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark


HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems


HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasks


HuCurl: Human-induced Curriculum Discovery


HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks


HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation


HuMoR: 3D Human Motion Model for Robust Pose Estimation


HuNavSim: A ROS 2 Human Navigation Simulator for Benchmarking Human-Aware Robot Navigation


HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar


HuRef: HUman-REadable Fingerprint for Large Language Models


Huatuo-26M, a Large-scale Chinese Medical QA Dataset


HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs


HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale


HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs


Hub Detection in Gaussian Graphical Models


Hub Location with Protection under Link Failures


HubbardNet: Efficient Predictions of the Bose-Hubbard Model Spectrum with Deep Neural Networks


Hubble Tension or Distance Ladder Crisis?


Hubble tension or a transition of the Cepheid SnIa calibrator parameters?


Hubble tension tomography: BAO vs SnIa distance tension


Hubless keypoint-based 3D deformable groupwise registration


Hubness Reduction Improves Sentence-BERT Semantic Spaces


Hue: A User-Adaptive Parser for Hybrid Logs


Hugging Rain Man: A Novel Facial Action Units Dataset for Analyzing Atypical Facial Expressions in Children with Autism Spectrum Disorder


Hulk: A Universal Knowledge Translator for Human-Centric Tasks


HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations


HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset


HumBugDB: A Large-scale Acoustic Mosquito Dataset


HumTrans: A Novel Open-Source Dataset for Humming Melody Transcription and Beyond


HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid


Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction


Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors


Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art


Human Activity Recognition in an Open World


Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural Networks


Human Activity Recognition using Multi-Head CNN followed by LSTM


Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark


Human Aligned Compression for Robust Models


Human Attention During Localization of Memory Bugs in C Programs


Human Attention during Goal-directed Reading Comprehension Relies on Task Optimization


Human Attention in Fine-grained Classification


Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation


Human Computer Interaction Using Marker Based Hand Gesture Recognition


Human Correspondence Consensus for 3D Object Semantic Understanding


Human Decision-making is Susceptible to AI-driven Manipulation


Human Detection and Segmentation via Multi-view Consensus


Human Emergency Detection during Autonomous Hospital Transports


Human Expertise in Algorithmic Prediction


Human Eyes Inspired Recurrent Neural Networks are More Robust Against Adversarial Noises


Human Gaussian Splatting: Real-time Rendering of Animatable Avatars


Human Genome Book: Words, Sentences and Paragraphs


Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation


Human Guided Ground-truth Generation for Realistic Image Super-resolution


Human I/O: Towards a Unified Approach to Detecting Situational Impairments


Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition


Human Instance Matting via Mutual Guidance and Multi-Instance Refinement


Human Interaction with Recommendation Systems


Human Kinematics-inspired Skeleton-based Video Anomaly Detection


Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney


Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data


Human Mesh Recovery from Arbitrary Multi-view Images


Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network


Human Motion Diffusion as a Generative Prior


Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies


Human MotionFormer: Transferring Human Motions with Vision Transformers


Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments


Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors


Human Perception-Inspired Grain Segmentation Refinement Using Conditional Random Fields


Human Performance Capture from Monocular Video in the Wild


Human Pose Estimation for Real-World Crowded Scenarios


Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images


Human Pose Estimation with Iterative Error Feedback


Human Pose Regression by Combining Indirect Part Detection and Contextual Information


Human Pose Transfer by Adaptive Hierarchical Deformation


Human Pose and Shape Estimation from Single Polarization Images


Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis


Human Preference Score: Better Aligning Text-to-Image Models with Human Preference


Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits


Human Protein Protein Interaction Networks: A Topological Comparison Review


Human Response to Decision Support in Face Matching: The Influence of Task Difficulty and Machine Accuracy


Human Schema Curation via Causal Association Rule Mining


Human Sentence Processing: Recurrence or Attention?


Human Simulacra: Benchmarking the Personification of Large Language Models


Human Speech Perception in Noise: Can Large Language Models Paraphrase to Improve It?


Human Strategic Steering Improves Performance of Interactive Optimization


Human Trajectory Prediction via Counterfactual Analysis


Human Trajectory Prediction via Neural Social Physics


Human Voice Pitch Estimation: A Convolutional Network with Auto-Labeled and Synthetic Data


Human activity recognition from skeleton poses


Human alignment of neural network representations


Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images


Human in the Loop Adaptive Optimization for Improved Time Series Forecasting


Human mobility is well described by closed-form gravity-like models learned automatically from data


Human operator cognitive availability aware Mixed-Initiative control


Human or Machine? It Is Not What You Write, But How You Write It


Human pose estimation via Convolutional Part Heatmap Regression


Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis


Human vs Automatic Metrics: on the Importance of Correlation Design


Human vs Objective Evaluation of Colourisation Performance


Human vs. AI: A Novel Benchmark and a Comparative Study on the Detection of Generated Images and the Impact of Prompts


Human vs. LMMs: Exploring the Discrepancy in Emoji Interpretation and Usage in Digital Communication


Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations


Human-AI Collaboration with Bandit Feedback


Human-AI Collaboration: Trade-offs Between Performance and Preferences


Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs


Human-AI Collaborative Taxonomy Construction: A Case Study in Profession-Specific Writing Assistants


Human-AI collectives produce the most accurate differential diagnoses


Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication


Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness


Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems


Human-Aligned Calibration for AI-Assisted Decision Making


Human-Alignment Influences the Utility of AI-assisted Decision Making


Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes


Human-Aware Object Placement for Visual Environment Reconstruction


Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions


Human-Centered Emotion Recognition in Animated GIFs


Human-Centered LLM-Agent User Interface: A Position Paper


Human-Centric Autonomous Systems With LLMs for User Command Reasoning


Human-Centric Foundation Models: Perception, Generation and Agentic Modeling


Human-Following and -guiding in Crowded Environments using Semantic Deep-Reinforcement-Learning for Mobile Service Robots


Human-Guided Fair Classification for Natural Language Processing


Human-Guided Image Generation for Expanding Small-Scale Training Image Datasets


Human-In-The-Loop Automatic Program Repair


Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation


Human-Inspired Framework to Accelerate Reinforcement Learning


Human-Inspired Multi-Agent Navigation using Knowledge Distillation


Human-Level Control through Directly-Trained Deep Spiking Q-Networks


Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes


Human-Object Interaction Detection:A Quick Survey and Examination of Methods


Human-Object Interaction Prediction in Videos through Gaze Following


Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution


Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration


Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from Video Diffusion Models


Human-aligned Chess with a Bit of Search


Human-aligned Safe Reinforcement Learning for Highway On-Ramp Merging in Dense Traffic


Human-centered Benchmarking for Socially-compliant Robot Navigation


Human-centered In-building Embodied Delivery Benchmark


Human-centered manipulation and navigation with Robot DE NIRO


Human-centric Image Cropping with Partition-aware and Content-preserving Features


Human-centric Indoor Scene Synthesis Using Stochastic Grammar


Human-centric Reward Optimization for Reinforcement Learning-based Automated Driving using Large Language Models


Human-centric Scene Understanding for 3D Large-scale Scenarios


Human-centric Spatio-Temporal Video Grounding With Visual Transformers


Human-grounded Evaluations of Explanation Methods for Text Classification


Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach


Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations


Human-in-the-Loop Mixed-Initiative Control under Temporal Tasks


Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses


Human-in-the-Loop Segmentation of Multi-species Coral Imagery


Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking


Human-in-the-Loop Visual Re-ID for Population Size Estimation


Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments


Human-in-the-loop Handling of Knowledge Drift


Human-in-the-loop Machine Translation with Large Language Model


Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods


Human-in-the-loop online just-in-time software defect prediction


Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty


Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks


Human-interpretable clustering of short-text using large language models


Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network


Human-like Controllable Image Captioning with Verb-specific Semantic Roles


Human-like Episodic Memory for Infinite Context LLMs


Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0


Human-like Planning for Reaching in Cluttered Environments


Human-like informative conversations: Better acknowledgements using conditional mutual information


Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation


Human101: Training 100+FPS Human Gaussians in 100s from 1 View


HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing


HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation


HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding Tasks


HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization


HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent


HumanGif: Single-View Human Diffusion with Generative Prior


HumanMM: Global Human Motion Recovery from Multi-shot Videos


HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video


HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context


HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion


HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants


HumanRecon: Neural Reconstruction of Dynamic Human Using Geometric Cues and Physical Priors


HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance


HumanReg: Self-supervised Non-rigid Registration of Human Point Cloud


HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset


HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation


HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors


HumanTOMATO: Text-aligned Whole-body Motion Generation


HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid


HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation


Humane Speech Synthesis through Zero-Shot Emotion and Disfluency Generation


HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation


Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?


Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack


Humanoid Agents: Platform for Simulating Human-like Generative Agents


Humanoid Path Planning over Rough Terrain using Traversability Assessment


Humans and language models diverge when predicting repeating text


Humans can discriminate trillions of olfactory stimuli, or more, or fewer


Humans disagree with the IoU for measuring object detector localization error


Humans in 4D: Reconstructing and Tracking Humans with Transformers


Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance Segmentation


Humans or LLMs as the Judge? A Study on Judgement Biases


Humans, Machine Learning, and Language Models in Union: A Cognitive Study on Table Unionability


Hummus: A Dataset of Humorous Multimodal Metaphor Use


Humor Detection: A Transformer Gets the Last Laugh


Humor Mechanics: Advancing Humor Generation with Multistep Reasoning


Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning


Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops


Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness


HumorReject: Decoupling LLM Safety from Refusal Prefix via A Little Humor


HunSum-1: an Abstractive Summarization Dataset for Hungarian


Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution


Hungry Hungry Hippos: Towards Language Modeling with State Space Models


Hunspell for Sorani Kurdish Spell Checking and Morphological Analysis


Hunt for Starspots in HARPS Spectra of G and K Stars


Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation


Hunting for anti-solar differentially rotating stars using the Rossby number -- An application to the Kepler field


Hunting for exoplanets via magnetic star-planet interactions: geometrical considerations for radio emission


Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider


Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details


HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters


Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series


Hurdles to Progress in Long-form Question Answering


Hurwitz Generation in Groups of Types $F_4$, $E_6$, $^2E_6$, $E_7$ and $E_8$


Husformer: A Multi-Modal Transformer for Multi-Modal Human State Recognition


Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning


Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks


HyConEx: Hypernetwork classifier with counterfactual explanations


HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning


HyGenar: An LLM-Driven Hybrid Genetic Algorithm for Few-Shot Grammar Generation


HyHTM: Hyperbolic Geometry based Hierarchical Topic Models


HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management


HyLine: a Simple and Practical Flow Scheduling for Commodity Datacenters


HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss


HyP$^2$ Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval


HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty


HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings


HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation


HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models


HyQE: Ranking Contexts with Hypothetical Query Embeddings


HyRRT-Connect: A Bidirectional Rapidly-Exploring Random Trees Motion Planning Algorithm for Hybrid Systems


HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition


HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction


HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis


HybEA: Hybrid Models for Entity Alignment


HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry


HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference


Hybrid $P_{\ell}(k)$: general, unified, non-linear matter power spectrum in redshift space


Hybrid 3D-4D Gaussian Splatting for Fast Dynamic Scene Representation


Hybrid ASR for Resource-Constrained Robots: HMM - Deep Learning Fusion


Hybrid Aerodynamics-Based Model Predictive Control for a Tail-Sitter UAV


Hybrid Angle Control and Almost Global Stability of Grid-Forming Power Converters


Hybrid Approaches to Detect Comments Violating Macro Norms on Reddit


Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting


Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes


Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration


Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries


Hybrid Bayesian Models for Community Detection with Application to a Colombian Conflict Network


Hybrid Beam Alignment for Multi-Path Channels: A Group Testing Viewpoint


Hybrid Beamformer Codebook Design and Ordering for Compressive mmWave Channel Estimation


Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory


Hybrid CNN-LSTM based Indoor Pedestrian Localization with CSI Fingerprint Maps


Hybrid Classical/Machine-Learning Force Fields for the Accurate Description of Molecular Condensed-Phase Systems


Hybrid Collaborative Recommendation via Semi-AutoEncoder


Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications


Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting Assistance


Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval


Hybrid Control as a Proxy for Detection and Mitigation of Sensor Attacks in Cooperative Driving


Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising


Hybrid Cost Volume for Memory-Efficient Optical Flow


Hybrid Data-enabled Predictive Control: Incorporating model knowledge into the DeePC


Hybrid Dealiasing of Complex Convolutions


Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations


Hybrid Discriminative-Generative Training via Contrastive Learning


Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI Scans


Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints


Hybrid Ensemble for Fake News Detection: An attempt


Hybrid Error-Management Strategies in Quantum Repeater Networks


Hybrid European MV-LV Network Models for Smart Distribution Network Modelling


Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm


Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation


Hybrid Function Sparse Representation towards Image Super Resolution


Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability


Hybrid Genetic Optimisation for Quantum Feature Map Design


Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood


Hybrid Global-Local Representation with Augmented Spatial Guidance for Zero-Shot Referring Image Segmentation


Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks


Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-Resolution


Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval


Hybrid Knowledge Routed Modules for Large-scale Object Detection


Hybrid Latent Reasoning via Reinforcement Learning


Hybrid Learning for Cold-Start-Aware Microservice Scheduling in Dynamic Edge Environments


Hybrid Losses for Hierarchical Embedding Learning


Hybrid Machine Learning Models of Classifying Residential Requests for Smart Dispatching


Hybrid Machine Learning techniques in the management of harmful algal blooms impact


Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks


Hybrid Map-Based Path Planning for Robot Navigation in Unstructured Environments


Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects


Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning


Hybrid Minimax-MCTS and Difficulty Adjustment for General Game Playing


Hybrid Model with Time Modeling for Sequential Recommender Systems


Hybrid Model-Based and Data-Driven Wind Velocity Estimator for the Navigation System of a Robotic Airship


Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems


Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis


Hybrid Neural Networks for On-device Directional Hearing


Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur


Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network


Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing


Hybrid PDE-ODE Models for Efficient Simulation of Infection Spread in Epidemiology


Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization


Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy


Hybrid Physical Metric For 6-DoF Grasp Pose Detection


Hybrid Physical-Neural ODEs for Fast N-body Simulations


Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution


Hybrid Pointer Networks for Traveling Salesman Problems Optimization