Hard hat wearing detection based on head keypoint localization


Hard limits on the postselectability of optical graph states


Hard negative examples are hard, but useful


Hard thresholding hyperinterpolation over general regions


Hard to Forget: Poisoning Attacks on Certified Machine Unlearning


Hard-Attention for Scalable Image Classification


Hard-Coded Gaussian Attention for Neural Machine Translation


Hard-Constrained Deep Learning for Climate Downscaling


Hard-Constrained Neural Networks with Universal Approximation Guarantees


Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse


Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning


Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation


Hard-constrained neural networks for modelling nonlinear acoustics


Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings


Hard-label based Small Query Black-box Adversarial Attack


Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection


HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline


HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques


Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning


Hardening Deep Neural Networks via Adversarial Model Cascades


Hardening and Speeding Up Zero-interaction Pairing and Authentication


Harder Tasks Need More Experts: Dynamic Routing in MoE Models


Hardest Monotone Functions for Evolutionary Algorithms


Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips


Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning


Hardness of the Maximum Independent Set Problem on Unit-Disk Graphs and Prospects for Quantum Speedups


Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection


Hardness-dependent quantum adiabatic schedules for the maximum-independent-set problem


Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone Networks


Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost


Hardware Co-Designed Optimal Control for Programmable Atomic Quantum Processors via Reinforcement Learning


Hardware Conditioned Policies for Multi-Robot Transfer Learning


Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency


Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications


Hardware Neural Control of CartPole and F1TENTH Race Car


Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory


Hardware Resilience Properties of Text-Guided Image Classifiers


Hardware Synthesis of State-Space Equations; Application to FPGA Implementation of Shallow and Deep Neural Networks


Hardware System Implementation for Human Detection using HOG and SVM Algorithm


Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithm


Hardware-Adaptive and Superlinear-Capacity Memristor-based Associative Memory


Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA


Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference


Hardware-Conscious Optimization of the Quantum Toffoli Gate


Hardware-Efficient Template-Based Deep CNNs Accelerator Design


Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations


Hardware-efficient learning of quantum many-body states


Hardware-oriented Approximation of Convolutional Neural Networks


Hardware-tailored logical Clifford circuits for stabilizer codes


Hardware/Software Co-Exploration of Neural Architectures


Harissa: stochastic simulation and inference of gene regulatory networks based on transcriptional bursting


Harm Mitigation in Recommender Systems under User Preference Dynamics


HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models


HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal


Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey


Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale


Harmfully Manipulated Images Matter in Multimodal Misinformation Detection


HarmoF0: Logarithmic Scale Dilated Convolution For Pitch Estimation


HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images


HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps


HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration


Harmonic $1$-forms on real loci of Calabi-Yau manifolds


Harmonic Hierarchies for Polynomial Optimization


Harmonic Recomposition using Conditional Autoregressive Modeling


Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design


Harmonic analysis of discrete tracers of large-scale structure


Harmonic analysis of isotropic fields on the sphere with arbitrary masks


Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices


HarmonicBalance.jl: A Julia suite for nonlinear dynamics using harmonic balance


Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks


Harmonious Semantic Line Detection via Maximal Weight Clique Selection


Harmonization Benchmarking Tool for Neuroimaging Datasets


Harmonization of diffusion MRI datasets with adaptive dictionary learning


Harmonized Multimodal Learning with Gaussian Process Latent Variable Models


Harmonizer: Learning to Perform White-Box Image and Video Harmonization


Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation


Harmonizing Generalization and Personalization in Federated Prompt Learning


Harmonizing Large Language Models with Collaborative Behavioral Signals for Conversational Recommendation


Harmonizing Transferability and Discriminability for Adapting Object Detectors


Harmonizing Visual Text Comprehension and Generation


Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis


Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations


Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive DNN Models on Commodity Servers


HarmonyBatch: Batching multi-SLO DNN Inference with Heterogeneous Serverless Functions


HarmonyDream: Task Harmonization Inside World Models


Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river


Harnessing Abstractive Summarization for Fact-Checked Claim Detection


Harnessing Automation in Data Mining: A Review on the Impact of PyESAPI in Radiation Oncology Data Extraction and Management


Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection


Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks


Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers


Harnessing Diffusion Models for Visual Perception with Meta Prompts


Harnessing Discrete Differential Geometry: A Virtual Playground for the Bilayer Soft Robotics


Harnessing Discrete Representations For Continual Reinforcement Learning


Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity


Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs


Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach


Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval


Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models


Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition


Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition


Harnessing High-Level Song Descriptors towards Natural Language-Based Music Recommendation


Harnessing Incremental Answer Set Solving for Reasoning in Assumption-Based Argumentation


Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains


Harnessing LLM to Attack LLM-Guarded Text-to-Image Models


Harnessing LLMs for Cross-City OD Flow Prediction


Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study


Harnessing Large Language Models as Post-hoc Correctors


Harnessing Large Language Models for Curated Code Reviews


Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation


Harnessing Large Language Models for Text-Rich Sequential Recommendation


Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis


Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power


Harnessing Meta-Learning for Improving Full-Frame Video Stabilization


Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting


Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering


Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging


Harnessing Multi-resolution and Multi-scale Attention for Underwater Image Restoration


Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation


Harnessing Multiple Large Language Models: A Survey on LLM Ensemble


Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning


Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning


Harnessing Neuron Stability to Improve DNN Verification


Harnessing Orthogonality to Train Low-Rank Neural Networks


Harnessing Perceptual Adversarial Patches for Crowd Counting


Harnessing Quantum Support Vector Machines for Cross-Domain Classification of Quantum States


Harnessing Reinforcement Learning for Neural Motion Planning


Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps


Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries


Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification


Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors


Harnessing Structures for Value-Based Planning and Reinforcement Learning


Harnessing Superclasses for Learning from Hierarchical Databases


Harnessing Uncertainty for a Separation Principle in Direct Data-Driven Predictive Control


Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation


Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection


Harnessing Vision Models for Time Series Analysis: A Survey


Harnessing adversarial examples with a surprisingly simple defense


Harnessing elastic instabilities for enhanced mixing and reaction kinetics in porous media


Harnessing machine learning for accurate treatment of overlapping opacity species in general circulation models


Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications


Harnessing small projectors and multiple views for efficient vision pretraining


Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems


Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta


Harnessing the Power of Federated Learning in Federated Contextual Bandits


Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond


Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generation


Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing


Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements


Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation


Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID


Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance


Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations


Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing


Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws


Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models


Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question Answering


Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models


Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis


Harnessing the Universal Geometry of Embeddings


Harnessing the linguistic signal to predict scalar inferences


Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling


HarperValleyBank: A Domain-Specific Spoken Dialog Corpus


Harry Potter and the Action Prediction Challenge from Natural Language


HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation


Hartley Spectral Pooling for Deep Learning


Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization


Harvest -- An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums


HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing


Harvesting BAT-GUANO with NITRATES (Non-Imaging Transient Reconstruction And TEmporal Search): Detecting and localizing the faintest GRBs with a likelihood framework


Harvesting Brownian Motion: Zero Energy Computational Sampling


Harvesting Event Schemas from Large Language Models


Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm


Harvesting Paragraph-Level Question-Answer Pairs from Wikipedia


Harvesting Production GraphQL Queries to Detect Schema Faults


Harvesting and Refining Question-Answer Pairs for Unsupervised QA


Harvesting primordial black holes from stochastic trees with $\texttt{FOREST}$


Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector


Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation


Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress


Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey


Has Sentiment Returned to the Pre-pandemic Level? A Sentiment Analysis Using U.S. College Subreddit Data from 2019 to 2022


Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint


Hash & Adjust: Competitive Demand-Aware Consistent Hashing


Hash3D: Training-free Acceleration for 3D Generation


HashKitty: Distributed Password Analysis


HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams


HashPIM: High-Throughput SHA-3 via Memristive Digital Processing-in-Memory


Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking


Hashing It Out: A Survey of Programmers' Cannabis Usage, Perception, and Motivation


Hashing for Structure-based Anomaly Detection


Hashing it Out: Predicting Unhealthy Conversations on Twitter


Hashing-Accelerated Graph Neural Networks for Link Prediction


Hashing-based Non-Maximum Suppression for Crowded Object Detection


Hashtag-Guided Low-Resource Tweet Classification


Haste Makes Waste: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions


Hate Personified: Investigating the role of LLMs in content moderation


Hate Speech Detection Using Cross-Platform Social Media Data In English and German Language


Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models


Hate Speech Detection with Generalizable Target-aware Fairness


Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter


Hate Speech Targets Detection in Parler using BERT


Hate Speech and Counter Speech Detection: Conversational Context Does Matter


Hate Speech and Offensive Language Detection in Bengali


Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation


Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter


Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups


Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection


Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features


HateBERT: Retraining BERT for Abusive Language Detection in English


HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns


HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models


HateCheckHIn: Evaluating Hindi Hate Speech Detection Models


HateMM: A Multi-Modal Dataset for Hate Video Classification


HateModerate: Testing Hate Speech Detectors against Content Moderation Policies


HateMonitors: Language Agnostic Abuse Detection in Social Media


Hateful Memes Challenge: An Enhanced Multimodal Framework


Hateful Memes Detection via Complementary Visual and Linguistic Networks


Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media


Hatemongers ride on echo chambers to escalate hate speech diffusion


Hater-O-Genius Aggression Classification using Capsule Networks


HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis


Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks


Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer


Hausdorff dimension of the Apollonian gasket


Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms


Have I done enough planning or should I plan more?


Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models


Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations


Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging


Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity


Having Beer after Prayer? Measuring Cultural Bias in Large Language Models


Having a Ball: evaluating scoring streaks and game excitement using in-match trend estimation


Hawk: An Efficient NALM System for Accurate Low-Power Appliance Recognition


Hawk: Learning to Understand Open-World Video Anomalies


HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene


HawkEye: Training Video-Text LLMs for Grounding Text in Videos


Hawkes Process Based on Controlled Differential Equations


Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs


Hawking Radiation from non-evaporating primordial black holes cannot enable the formation of direct collapse black holes


Hawking Radiation of Nonrelativistic Scalars: Applications to Pion and Axion Production


Haydi: Rapid Prototyping and Combinatorial Objects


Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes


Hazard Detection in Supermarkets using Deep Learning on the Edge


Haze Removal via Regional Saturation-Value Translation and Soft Segmentation


Haze seasonal variations of Titan's upper atmosphere during the Cassini Mission


HazeCLIP: Towards Language Guided Real-World Image Dehazing


HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing


Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition


HazyDet: Open-source Benchmark for Drone-view Object Detection with Depth-cues in Hazy Scenes


HcNet: Image Modeling with Heat Conduction Equation


He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues


He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics


HeAT -- a Distributed and GPU-accelerated Tensor Framework for Data Analytics


HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity


HeGeL: A Novel Dataset for Geo-Location from Hebrew Text


HeLiOS: Heterogeneous LiDAR Place Recognition via Overlap-based Learning and Local Spherical Transformer


HeR-DRL:Heterogeneous Relational Deep Reinforcement Learning for Decentralized Multi-Robot Crowd Navigation


HeRoSwarm: Fully-Capable Miniature Swarm Robot Hardware Design With Open-Source ROS Support


HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew


HeaRT: Health Record Timeliner to visualise patients' medical history from health record text


Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet


Head-Driven Phrase Structure Grammar Parsing on Penn Treebank


Head-Free Lightweight Semantic Segmentation with Linear Transformer


Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning


Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation


Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?


Head-wise Shareable Attention for Large Language Models


Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning


HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading


Heading perception and the structure of the optic acceleration field


HeadlineCause: A Dataset of News Headlines for Detecting Causalities


HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy


Healing Unsafe Dialogue Responses with Weak Supervision Signals


Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning


Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning


Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning


Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data


HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking


HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments


HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks


HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation


Healthcare system resilience and adaptability to pandemic disruptions in the United States


HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture Grading


HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease


Heaps' Law and Vocabulary Richness in the History of Classical Music Harmony


Heaps' Law in GPT-Neo Large Language Model Emulated Corpora


Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization


Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization


Hear her Fear: Data Sonification for Sensitizing Society on Crime Against Women in India


Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes


Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition


Heart Failure Prediction using Modal Decomposition and Masked Autoencoders for Scarce Echocardiography Databases


Heart Segmentation From MRI Scans Using Convolutional Neural Network


Heart rate estimation in intense exercise videos


Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors


HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis


HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection


Heartbeat Anomaly Detection using Adversarial Oversampling


Heartbeat Stars Recognition Based on Recurrent Neural Networks: Method and Validation


Hearts Gym: Learning Reinforcement Learning as a Team Event


Heat diffusion distance processes: a statistically founded method to analyze graph data sets


Heat flux for semi-local machine-learning potentials


Heat operator approach to quantum stochastic thermodynamics in the strong-coupling regime


Heat transport in a hierarchy of reduced-order convection models


Heating of the intergalactic medium by the cosmic microwave background during cosmic dawn


Heatmap Regression for Lesion Detection using Pointwise Annotations


Heatmap-based Object Detection and Tracking with a Fully Convolutional Neural Network


Heatwave increases nighttime light intensity in hyperdense cities of the Global South: A double machine learning study


Heavy Axion Opportunities at the DUNE Near Detector


Heavy Ball Neural Ordinary Differential Equations


Heavy Higgs Bosons at 14 TeV and 100 TeV


Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding


Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks


Heavy neutral leptons below the kaon mass at hodoscopic detectors


Heavy-tailed likelihoods for robustness against data outliers: Applications to the analysis of gravitational wave data


Heavy-to-light form factors to three loops


Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks


Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs


Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks


Hector UI: A Flexible Human-Robot User Interface for (Semi-)Autonomous Rescue and Inspection Robots


Hedera: Scalable Indexing and Exploring Entities in Wikipedia Revision History


Hedging Against Sore Loser Attacks in Cross-Chain Transactions


Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers


HeightCeleb - an enrichment of VoxCeleb dataset with speaker height information


HeightMapNet: Explicit Height Modeling for End-to-End HD Map Learning


Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial Networks


Heisenberg machines with programmable spin-circuits


Heisenberg-Limited Quantum Metrology without Ancilla


Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization


Helicity-dependent parton distribution functions at next-to-next-to-leading order accuracy from inclusive and semi-inclusive deep-inelastic scattering data


Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance


Helix-mRNA: A Hybrid Foundation Model For Full Sequence mRNA Therapeutics


Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow


HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization


Hello Again! LLM-powered Personalized Agent for Long-term Dialogue


Hello, won't you tell me your name?: Investigating Anonymity Abuse in IPFS


HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models


HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models


HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction


Helmholtz decomposition and potential functions for n-dimensional analytic vector fields


Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Game


Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents


Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts?


Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing


Help the Blind See: Assistance for the Visually Impaired through Augmented Acoustic Simulation


Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning


Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior


Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions


Helping Crisis Responders Find the Informative Needle in the Tweet Haystack


Helping Hands: An Object-Aware Ego-Centric Video Recognition Model


Helping Visually Impaired People Take Better Quality Pictures


Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking


Helping results assessment by adding explainable elements to the deep relevance matching model


Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators


Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth Estimation


HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans


HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention


Hematoxylin and eosin stained oral squamous cell carcinoma histological images dataset


Hemispheric Dichotomy of Mantle Dynamics Revealed by Machine Learning


Hemodynamic Deconvolution Demystified: Sparsity-Driven Regularization at Work


Hemodynamical Behavior Analysis of Anemic, Diabetic, and Healthy Blood Flow in the Carotid Artery


Hemoglobin Non-equilibrium Oxygen Dissociation Curve


Hephaestus: A large scale multitask dataset towards InSAR understanding


Heracles: A HfO2 Ferroelectric Capacitor Compact Model for Efficient Circuit Simulations


Heralded quantum gates with integrated error detection in optical cavities


Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake Detection


Herd's Eye View: Improving Game AI Agent Learning with Collaborative Perception


Herding interactions as an opportunity to prevent extreme events in financial markets


Herding stochastic autonomous agents via local control rules and online global target selection strategies


Here Be Livestreams: Trade-offs in Creating Temporal Maps of Reddit


Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applications


Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data


Here To Stay: Measuring Hologram Stability in Markerless Smartphone Augmented Reality


Here comes the SU(N): multivariate quantum gates and gradients


Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge


Heri-Graphs: A Workflow of Creating Datasets for Multi-modal Machine Learning on Graphs of Heritage Values and Attributes with Social Media


Heritability maps of human face morphology through large-scale automated three-dimensional phenotyping


HermEIS: A Parallel Multichannel Approach to Rapid Spectral Characterization of Neural MEAs


Hermes: A General-Purpose Proxy-Enabled Networking Architecture


Hermes: High-Performance Homomorphically Encrypted Vector Databases


Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications


Hermes: a Fast, Fault-Tolerant and Linearizable Replication Protocol


HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation


Hermite Polynomial Features for Private Data Generation


Hermite Reduction for D-finite Functions via Integral Bases


Hermite interpolation and data processing errors on Riemannian matrix manifolds


Hermite-type modifications of BOBYQA for optimization with some partial derivatives


Hero-Gang Neural Model For Named Entity Recognition


HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots


Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese


HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging


Hertzsprung gap stars in nearby galaxies and the Quest for Luminous Red Novae Progenitors


Hespi: A pipeline for automatically detecting information from hebarium specimen sheets


Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence


Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning


Hessian Aware Quantization of Spiking Neural Networks


Hessian Geometry of Latent Space in Generative Models


Hessian of Perplexity for Large Language Models by PyTorch autograd (Open Source)


Hessian-Aware Pruning and Optimal Neural Implant


Hessian-based toolbox for reliable and interpretable machine learning in physics


Hessian-free Ray-Born Inversion for Quantitative Ultrasound Tomography


HessianForge: Scalable LiDAR reconstruction with Physics-Informed Neural Representation and Smoothness Energy Constraints


Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding


HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness


HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition


HetGPU: The pursuit of making binary compatibility towards GPUs


HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning


Heter-LP: A heterogeneous label propagation algorithm and its application in drug repositioning


Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks


HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients


HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling


HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning


Heteroclinic cycling and extinction in May-Leonard models with demographic stochasticity


Heterogeneity and Instability in the Stable Marriage Problem


Heterogeneity in Sectoral Production and the Macro Effect of Sectoral Shocks


Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake


Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting


Heterogeneity-stabilized homogeneous states in driven media


Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention


Heterogeneous Autoregressions in Short T Panel Data Models


Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms


Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction


Heterogeneous Datasets for Federated Survival Analysis Simulation


Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification


Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution


Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity


Heterogeneous Effects in the Built Environment


Heterogeneous Entity Representation for Medicinal Synergy Prediction


Heterogeneous Federated Learning with Prototype Alignment and Upscaling


Heterogeneous Federated Learning: State-of-the-art and Research Challenges


Heterogeneous Forgetting Compensation for Class-Incremental Learning


Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness


Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation


Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter


Heterogeneous Graph Contrastive Learning for Recommendation


Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples


Heterogeneous Graph Contrastive Multi-view Learning


Heterogeneous Graph Learning for Multi-modal Medical Data Analysis


Heterogeneous Graph Learning for Visual Commonsense Reasoning


Heterogeneous Graph Neural Architecture Search with GPT-4


Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation


Heterogeneous Graph Neural Networks for Extractive Document Summarization


Heterogeneous Graph Neural Networks for Keyphrase Generation


Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference


Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables


Heterogeneous Graph Representation Learning with Relation Awareness


Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos


Heterogeneous Graph-based Framework with Disentangled Representations Learning for Multi-target Cross Domain Recommendation


Heterogeneous Indirect Effects for Multiple Mediators using Interventional Effect Models


Heterogeneous Knowledge Distillation using Information Flow Modeling


Heterogeneous Matrix Factorization: When Features Differ by Datasets


Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering


Heterogeneous Mixture of Experts for Remote Sensing Image Super-Resolution


Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties


Heterogeneous Multi-Task Gaussian Cox Processes


Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution


Heterogeneous Multi-output Gaussian Process Prediction


Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization


Heterogeneous Multi-task Learning with Expert Diversity


Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover Classification


Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark


Heterogeneous Peer Effects in the Linear Threshold Model


Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks


Heterogeneous Relational Complement for Vehicle Re-identification


Heterogeneous Social Event Detection via Hyperbolic Graph Representations


Heterogeneous Subgraph Transformer for Fake News Detection


Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach


Heterogeneous Temporal Graph Neural Network


Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning


Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets


Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression


Heterogeneous Treatment Effects in Panel Data


Heterogeneous Treatment Effects in Regression Discontinuity Designs


Heterogeneous Treatment Effects under Network Interference: A Nonparametric Approach Based on Node Connectivity


Heterogeneous Treatment and Spillover Effects under Clustered Network Interference


Heterogeneous Tri-stream Clustering Network


Heterogeneous Unmanned Aerial Vehicles Cooperative Search Approach for Complex Environments


Heterogeneous User Modeling for LLM-based Recommendation


Heterogeneous causal effects of neighborhood policing in New York City with staggered adoption of the policy


Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces


Heterogeneous graph attention network improves cancer multiomics integration


Heterogeneous large datasets integration using Bayesian factor regression


Heterogeneous multireference alignment for images with application to 2-D classification in single particle reconstruction


Heterogeneous multireference alignment: a single pass approach


Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning


Heterogeneous network-based drug repurposing for COVID-19


Heterogeneous node copying from hidden network structure


Heterogeneous sound classification with the Broad Sound Taxonomy and Dataset


Heterogeneous window transformer for image denoising


Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty


Heterogenous Ensemble of Models for Molecular Property Prediction


Heterogenous Memory Augmented Neural Networks


Heterophily-Aware Fair Recommendation using Graph Convolutional Networks


Heteroscedastic Causal Structure Learning


Heteroscedastic Gaussian Process Regression on the Alkenone over Sea Surface Temperatures


Heteroscedastic Growth Curve Modeling with Shape-Restricted Splines


Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series


Heteroscedastic Uncertainty for Robust Generative Latent Dynamics


Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization


HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges


HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization


Heuristic Algorithm for Univariate Stratification Problem


Heuristic Approaches to Obtain Low-Discrepancy Point Sets via Subset Selection


Heuristic Framework for Multi-Scale Testing of the Multi-Manifold Hypothesis


Heuristic Hyperparameter Optimization for Convolutional Neural Networks using Genetic Algorithm


Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction


Heuristic Optimal Transport in Branching Networks


Heuristic Semi-Supervised Learning for Graph Generation Inspired by Electoral College


Heuristic Weakly Supervised 3D Human Pose Estimation


Heuristic-Based Weak Learning for Automated Decision-Making


Heuristic-enhanced Candidates Selection strategy for GPTs tackle Few-Shot Aspect-Based Sentiment Analysis


Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments


Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery


Heuristics based on Adjacency Graph Packing for DCJ Distance Considering Intergenic Regions


Heuristics for (ir)reducibility of $p$-rank strata of the moduli space of hyperelliptic curves


Heuristics for Inequality minimization in PageRank values


Heuristics with Performance Guarantees for the Minimum Number of Matches Problem in Heat Recovery Network Design


Heuristics, Answer Set Programming and Markov Decision Process for Solving a Set of Spatial Puzzles


Hex2vec -- Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags


HexDom: Polycube-Based Hexahedral-Dominant Mesh Generation


HexGen: Generative Inference of Large Language Model over Heterogeneous Environment


HexPlane: A Fast Representation for Dynamic Scenes


Hexa-MoE: Efficient and Heterogeneous-aware Training for Mixture-of-Experts


HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data


HexaGAN: Generative Adversarial Nets for Real World Classification


HexaLab.net: an online viewer for hexahedral meshes


HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch


Hexagon Bootstrap in the Double Scaling Limit


HexiScale: Accommodating Large Language Model Training over Heterogeneous Environment


Hey AI, Can You Solve Complex Tasks by Talking to Agents?


HeySQuAD: A Spoken Question Answering Dataset


Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric


Hi,KIA: A Speech Emotion Recognition Dataset for Wake-Up Words


Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining


Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification


Hi-GMAE: Hierarchical Graph Masked Autoencoders


Hi-Phy: A Benchmark for Hierarchical Physical Reasoning


Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation


Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models


Hi4D: 4D Instance Segmentation of Close Human Interaction


HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model


HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation Statistics


HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation


HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention


HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition


HiCRISP: An LLM-based Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner


HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining


HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation


HiCoM: Hierarchical Coherent Motion for Streamable Dynamic Scene with 3D Gaussian Splatting


HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding


HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation


HiERO: understanding the hierarchy of human behavior enhances reasoning on egocentric videos


HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance


HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning


HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy


HiFT: Hierarchical Feature Transformer for Aerial Tracking


HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform


HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings


HiFi-Stream: Streaming Speech Enhancement with Generative Adversarial Networks


HiFi-VC: High Quality ASR-Based Voice Conversion


HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture


HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation


HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification


HiGNN: Hierarchical Informative Graph Neural Networks for Molecular Property Prediction Equipped with Feature-Wise Attention


HiGPT: Heterogeneous Graph Language Model


HiGen: Hierarchical Graph Generative Networks


HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories


HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval


HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language Models


HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models


HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models


HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation


HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving


HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding


HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model


HiNER: A Large Hindi Named Entity Recognition Dataset


HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction


HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder


HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records


HiPE: Hierarchical Initialization for Pose Graphs


HiPPO: Recurrent Memory with Optimal Polynomial Projections


HiPart: Hierarchical Divisive Clustering Toolbox


HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data


HiPool: Modeling Long Documents Using Graph Neural Networks


HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation


HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts


HiQ -- A Declarative, Non-intrusive, Dynamic and Transparent Observability and Optimization System


HiQR: An efficient algorithm for high-dimensional quadratic regression with penalties


HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection


HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models


HiRegEx: Interactive Visual Query and Exploration of Multivariate Hierarchical Data


HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification


HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents


HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing


HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution


HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data


HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction


HiVision: Rapid Visualization of Large-Scale Spatial Vector Data


Hibou: A Family of Foundational Vision Transformers for Pathology


Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions


Hidden Backdoors in Human-Centric Language Models


Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization


Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions


Hidden Degrees of Freedom in Implicit Vortex Filaments


Hidden Entity Detection from GitHub Leveraging Large Language Models


Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data


Hidden Heterogeneity: When to Choose Similarity-Based Calibration


Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger


Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images


Hidden Markov Based Mathematical Model dedicated to Extract Ingredients from Recipe Text


Hidden Markov Models for Stock Market Prediction


Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series


Hidden Markov Transformer for Simultaneous Machine Translation


Hidden Markov modeling of single particle diffusion with stochastic tethering


Hidden Markov modelling of spatio-temporal dynamics of measles in 1750-1850 Finland


Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations


Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks


Hidden deep in the halo: selection of a reduced proper motion halo catalogue and mining retrograde streams in the velocity space


Hidden in Plain Sight For Too Long: Using Text Mining Techniques to Shine a Light on Workplace Sexism and Sexual Harassment


Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models


Hidden in Plain Sight: Exploring Encrypted Channels in Android apps


Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations


Hidden in the Noise: Two-Stage Robust Watermarking for Images


Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics


Hidden symmetries and Dehn surgery on tetrahedral links


Hidden yet quantifiable: A lower bound for confounding strength using randomized trials


Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks


HiddenDetect: Detecting Jailbreak Attacks against Large Vision-Language Models via Monitoring Hidden States


HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router


Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection


Hide Your Model: A Parameter Transmission-free Federated Recommender System


Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection


Hide and Seek: Outwitting Community Detection Algorithms


Hide and Speak: Towards Deep Neural Networks for Speech Steganography


Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds


Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond


Hide-and-Seek: A Template for Explainable AI


Hiding Data Helps: On the Benefits of Masking for Sparse Coding


Hiding Visual Information via Obfuscating Adversarial Perturbations


Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning


Hiding in the Particles: When Return-Oriented Programming Meets Program Obfuscation


Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipeline


Hier-EgoPack: Hierarchical Egocentric Video Understanding with Diverse Task Perspectives


Hier-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting


HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades


HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective Priors


HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis


HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion Models


Hierarchical 3D Feature Learning for Pancreas Segmentation


Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation


Hierarchical Adaptive Motion Planning with Nonlinear Model Predictive Control for Safety-Critical Collaborative Loco-Manipulation


Hierarchical Adaptive Voxel-guided Sampling for Real-time Applications in Large-scale Point Clouds


Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding


Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN


Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain


Hierarchical Associative Memory, Parallelized MLP-Mixer, and Symmetry Breaking


Hierarchical Attention Generates Better Proofs


Hierarchical Attention Graph for Scientific Document Summarization in Global and Local Level


Hierarchical Attention Models for Multi-Relational Graphs


Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning


Hierarchical Attention: What Really Counts in Various NLP Tasks


Hierarchical Attentive Recurrent Tracking


Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition


Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data


Hierarchical Average Precision Training for Pertinent Image Retrieval


Hierarchical Back Projection Network for Image Super-Resolution


Hierarchical Bayesian Inference of Globular Cluster Properties


Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets via Multitask Learning


Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes


Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data


Hierarchical Bayesian approach for estimating physical properties in nearby galaxies: Age Maps (Paper II)


Hierarchical Bayesian inference for community detection and connectivity of functional brain networks


Hierarchical Bayesian propulsion power models for marine vessels


Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation


Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation


Hierarchical Blockmodelling for Knowledge Graphs


Hierarchical Bloom Filter Trees for Approximate Matching


Hierarchical Catalogue Generation for Literature Review: A Benchmark


Hierarchical Cellular Automata for Visual Saliency


Hierarchical Classification Auxiliary Network for Time Series Forecasting


Hierarchical Classification for Automated Image Annotation of Coral Reef Benthic Structures


Hierarchical Clustering in $Λ$CDM Cosmologies via Persistence Energy


Hierarchical Clustering of World Cuisines


Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling


Hierarchical Conditional Relation Networks for Video Question Answering


Hierarchical Consensus Network for Multiview Feature Learning


Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation


Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations


Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs


Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs


Hierarchical Context Tagging for Utterance Rewriting


Hierarchical Context Transformer for Multi-level Semantic Scene Understanding


Hierarchical Context enabled Recurrent Neural Network for Recommendation


Hierarchical Contextualized Representation for Named Entity Recognition


Hierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning


Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection


Hierarchical Control of Emotion Rendering in Speech Synthesis


Hierarchical Control of Smart Particle Swarms


Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery


Hierarchical Cross-Modal Talking Face Generationwith Dynamic Pixel-Wise Loss


Hierarchical Cross-entropy Loss for Classification of Astrophysical Transients


Hierarchical Curriculum Learning for AMR Parsing


Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent


Hierarchical Decision Making by Generating and Following Natural Language Instructions


Hierarchical Decomposed Dual-domain Deep Learning for Sparse-View CT Reconstruction


Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization


Hierarchical Deep Counterfactual Regret Minimization


Hierarchical Deep Learning of Multiscale Differential Equation Time-Steppers


Hierarchical Deep Recurrent Architecture for Video Understanding


Hierarchical Deep Reinforcement Learning for Adaptive Resource Management in Integrated Terrestrial and Non-Terrestrial Networks


Hierarchical Deep Residual Reasoning for Temporal Moment Localization


Hierarchical Dense Correlation Distillation for Few-Shot Segmentation


Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention


Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance


Hierarchical Dirichlet Process Based Gamma Mixture Modelling for Terahertz Band Wireless Communication Channels


Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition


Hierarchical Distribution-Aware Testing of Deep Learning


Hierarchical Document Parsing via Large Margin Feature Matching and Heuristics


Hierarchical Document Refinement for Long-context Retrieval-augmented Generation


Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction


Hierarchical Dynamic Image Harmonization


Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized Gamma Hyperpriors


Hierarchical Entity Typing via Multi-level Learning to Rank


Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First Time


Hierarchical Explanations for Video Action Recognition


Hierarchical False Discovery Rate Control for High-dimensional Survival Analysis with Interactions


Hierarchical Fashion Graph Network for Personalized Outfit Recommendation


Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation


Hierarchical Federated Learning in Multi-hop Cluster-Based VANETs


Hierarchical Federated Learning with Multi-Timescale Gradient Correction


Hierarchical Few-Shot Imitation with Skill Transition Models


Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method


Hierarchical Forecasting of Dengue Incidence in Sri Lanka


Hierarchical Forgery Classifier On Multi-modality Face Forgery Clues


Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection


Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction


Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification


Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection


Hierarchical Graph Network for Multi-hop Question Answering


Hierarchical Graph Networks for 3D Human Pose Estimation


Hierarchical Graph Neural Networks for Particle Track Reconstruction


Hierarchical Graph Pattern Understanding for Zero-Shot VOS


Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity


Hierarchical Graph Structures for Congestion and ETA Prediction


Hierarchical Graph Transformer with Adaptive Node Sampling


Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion


Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks


Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification


Hierarchical High-Point Energy Flow Network for Jet Tagging


Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis


Hierarchical Human Parsing with Typed Part-Relation Reasoning


Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions


Hierarchical Image Peeling: A Flexible Scale-space Filtering Framework


Hierarchical Indexing for Retrieval-Augmented Opinion Summarization


Hierarchical Inducing Point Gaussian Process for Inter-domain Observations


Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks


Hierarchical Integration Diffusion Model for Realistic Image Deblurring


Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation


Hierarchical Inter-Message Passing for Learning on Molecular Graphs


Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis


Hierarchical IoU Tracking based on Interval


Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild


Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards


Hierarchical Label Propagation: A Model-Size-Dependent Performance Booster for AudioSet Tagging


Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding


Hierarchical Latent Relation Modeling for Collaborative Metric Learning


Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting


Hierarchical Learning and Computing over Space-Ground Integrated Networks


Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code


Hierarchical Learning-Enhanced MPC for Safe Crowd Navigation with Heterogeneous Constraints


Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems


Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval


Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting


Hierarchical LoG Bayesian Neural Network for Enhanced Aorta Segmentation


Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking


Hierarchical Mamba Meets Hyperbolic Geometry: A New Paradigm for Structured Language Embeddings


Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image Classification


Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots


Hierarchical Matching and Reasoning for Multi-Query Image Retrieval


Hierarchical Memory Matching Network for Video Object Segmentation


Hierarchical Memory Networks for Answer Selection on Unknown Words


Hierarchical Message-Passing Graph Neural Networks


Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition


Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis


Hierarchical Mixtures of Generators for Adversarial Learning


Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos


Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting


Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty Levels


Hierarchical Multi-Label Classification of Scientific Documents


Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery


Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions


Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection


Hierarchical Multidimensional Scaling for the Comparison of Musical Performance Styles


Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding


Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction


Hierarchical Needs Based Self-Adaptive Framework For Cooperative Multi-Robot System


Hierarchical Neural Architecture Search for Deep Stereo Matching


Hierarchical Neural Architecture Search for Single Image Super-Resolution


Hierarchical Neural Architecture Search via Operator Clustering


Hierarchical Neural Coding for Controllable CAD Model Generation


Hierarchical Neural Memory Network for Low Latency Event Processing


Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts


Hierarchical Neural Simulation-Based Inference Over Event Ensembles


Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment


Hierarchical Object Detection with Deep Reinforcement Learning


Hierarchical Object-to-Zone Graph for Object Navigation


Hierarchical Open-vocabulary Universal Image Segmentation


Hierarchical Optimization Time Integration for CFL-rate MPM Stepping


Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization


Hierarchical Path-planning from Speech Instructions with Spatial Concept-based Topometric Semantic Mapping


Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection


Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms


Hierarchical Phrase-based Sequence-to-Sequence Learning


Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation


Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans


Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search


Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets


Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction


Hierarchical Potential-based Reward Shaping from Task Specifications


Hierarchical Pretraining on Multimodal Electronic Health Records


Hierarchical Prior Mining for Non-local Multi-View Stereo


Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression


Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation


Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles


Hierarchical Pronunciation Assessment with Multi-Aspect Attention


Hierarchical Qualitative Clustering: clustering mixed datasets with critical qualitative information


Hierarchical Quality-Diversity for Online Damage Recovery


Hierarchical Quantized Representations for Script Generation


Hierarchical Recurrent Attention Network for Response Generation


Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure


Hierarchical Regression Network for Spectral Reconstruction from RGB Images


Hierarchical Reinforcement Learning By Discovering Intrinsic Options


Hierarchical Reinforcement Learning for Power Network Topology Control


Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty


Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies


Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization


Hierarchical Reinforcement Learning with AI Planning Models


Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model


Hierarchical Reinforcement Learning with Timed Subgoals


Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling


Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks


Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation


Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering


Hierarchical Roofline Analysis: How to Collect Data using Performance Tools on Intel CPUs and NVIDIA GPUs


Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models


Hierarchical Search-Based Cooperative Motion Planning


Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition


Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology


Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection


Hierarchical Separable Video Transformer for Snapshot Compressive Imaging


Hierarchical Similarity Learning for Language-based Product Image Retrieval


Hierarchical Sketch Induction for Paraphrase Generation


Hierarchical Skills for Efficient Exploration


Hierarchical Sliced Wasserstein Distance


Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition


Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs


Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams


Hierarchical Spatio-Temporal Representation Learning for Gait Recognition


Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis


Hierarchical State Abstraction Based on Structural Information Principles


Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling


Hierarchical Structural Analysis Method for Complex Equation-oriented Models


Hierarchical Sub-action Tree for Continuous Sign Language Recognition


Hierarchical Superpixel Segmentation via Structural Information Theory


Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection


Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models


Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring


Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification


Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion


Hierarchical Temporal Logic Task and Motion Planning for Multi-Robot Systems


Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos


Hierarchical Text Classification (HTC) vs. eXtreme Multilabel Classification (XML): Two Sides of the Same Medal


Hierarchical Text Classification with Reinforced Label Assignment


Hierarchical Text Generation using an Outline


Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning


Hierarchical Timbre-Painting and Articulation Generation


Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation


Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding


Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning


Hierarchical Transformer Encoders for Vietnamese Spelling Correction


Hierarchical Transformer Model for Scientific Named Entity Recognition


Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics


Hierarchical Transformer with Spatio-Temporal Context Aggregation for Next Point-of-Interest Recommendation


Hierarchical Transformers for Multi-Document Summarization


Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging


Hierarchical Variational Imitation Learning of Control Programs


Hierarchical Variational Memory for Few-shot Learning Across Domains


Hierarchical Vector Quantization for Unsupervised Action Segmentation


Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection


Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection


Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification


Hierarchical Video-Moment Retrieval and Step-Captioning


Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation


Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning


Hierarchical Width-Based Planning and Learning


Hierarchical Windowed Graph Attention Network and a Large Scale Dataset for Isolated Indian Sign Language Recognition


Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection


Hierarchical and Multimodal Data for Daily Activity Understanding


Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph


Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening


Hierarchical classification at multiple operating points


Hierarchical clustered multiclass discriminant analysis via cross-validation


Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees


Hierarchical clustering in particle physics through reinforcement learning


Hierarchical clustering of bipartite data sets based on the statistical significance of coincidences


Hierarchical clustering that takes advantage of both density-peak and density-connectivity


Hierarchical clustering with discrete latent variable models and the integrated classification likelihood


Hierarchical clustering with dot products recovers hidden tree structure


Hierarchical clustering with maximum density paths and mixture models


Hierarchical clustering: visualization, feature importance and model selection


Hierarchical community structure in networks


Hierarchical confusion matrix for classification performance evaluation


Hierarchical core-periphery structure in networks


Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process


Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations


Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data


Hierarchical forecasting with a top-down alignment of independent level forecasts


Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data


Hierarchical graph neural nets can capture long-range interactions


Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction


Hierarchical growing grid networks for skeleton based action recognition


Hierarchical hidden community detection for protein complex prediction


Hierarchical inference of evidence using posterior samples


Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads


Hierarchical localization with panoramic views and triplet loss functions


Hierarchical multinomial processing tree models for meta-analysis of diagnostic accuracy studies


Hierarchical novel class discovery for single-cell transcriptomic profiles


Hierarchical nuclear norm penalization for multi-view data


Hierarchical nucleation in deep neural networks


Hierarchical planning-scheduling-control -- Optimality surrogates and derivative-free optimization


Hierarchical proximal Galerkin: a fast $hp$-FEM solver for variational problems with pointwise inequality constraints


Hierarchical selection of genetic and gene by environment interaction effects in high-dimensional mixed models


Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering


Hierarchical storage management in user space for neuroimaging applications


Hierarchical structure of the cosmic web and galaxy properties


Hierarchical transfer learning with applications for electricity load forecasting


Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems


HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python


Hierarchically Composing Level Generators for the Creation of Complex Structures


Hierarchically Coordinated Energy Management for A Regional Multi-microgrid Community


Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition


Hierarchically Decoupled Imitation for Morphological Transfer


Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems


Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning


Hierarchically branched diffusion models leverage dataset structure for class-conditional generation


Hierarchy Flow For High-Fidelity Image-to-Image Translation


Hierarchy and co-evolution processes in urban systems


Hierarchy of chaotic dynamics in random modular networks


Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval


Hieros: Hierarchical Imagination on Structured State Space Sequence World Models


Hiformer: Hybrid Frequency Feature Enhancement Inverted Transformer for Long-Term Wind Power Prediction


HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps


Higgs Width and Couplings at High Energy Muon Colliders with Forward Muon Detection


Higgs boson decay to charmonia via $c$-quark fragmentation


Higgs mass prediction in the MSSM at three-loop level in a pure $\overline{\text{DR}}$ context


Higgs probes of top quark contact interactions and their interplay with the Higgs self-coupling


HiggsTools: BSM scalar phenomenology with new versions of HiggsBounds and HiggsSignals


High Cadence Optical Transient Searches using Drift Scan Imaging III: Development of an Inexpensive Drive Control System and Characterisation and Correction of Drive System Periodic Errors


High Confidence Optical Confirmations Among the High Signal-to-Noise Planck Cluster Candidates


High Definition image classification in Geoscience using Machine Learning


High Definition, Inexpensive, Underwater Mapping


High Dimensional Bayesian Optimization using Lasso Variable Selection


High Dimensional Causal Inference with Variational Backdoor Adjustment


High Dimensional Classification through $\ell_0$-Penalized Empirical Risk Minimization


High Dimensional Level Set Estimation with Bayesian Neural Network


High Dimensional Optimization through the Lens of Machine Learning


High Dimensional Portfolio Selection with Cardinality Constraints


High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions


High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility


High Dynamic Range Image Quality Assessment Based on Frequency Disparity


High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation


High Dynamic Range Imaging of Dynamic Scenes with Saturation Compensation but without Explicit Motion Compensation


High Dynamic Range Imaging via Visual Attention Modules


High Dynamic Range Novel View Synthesis with Single Exposure


High Dynamic Range SLAM with Map-Aware Exposure Time Control


High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm


High Expectations: An Observational Study of Programming and Cannabis Intoxication


High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition


High Fidelity Fingerprint Generation: Quality, Uniqueness, and Privacy


High Fidelity Image Synthesis With Deep VAEs In Latent Space


High Fidelity Noise-Tolerant State Preparation of a Heisenberg spin-1/2 Hamiltonian for the Kagome Lattice on a 16 Qubit Quantum Computer


High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data


High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion


High Level Synthesis Implementation of a Three-dimensional Systolic Array Architecture for Matrix Multiplications on Intel Stratix 10 FPGAs


High Perceptual Quality Image Denoising with a Posterior Sampling CGAN


High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation Comparison


High Performance Logistic Regression for Privacy-Preserving Genome Analysis


High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps


High Performance Unstructured SpMM Computation Using Tensor Cores


High Precision Measurements of Interstellar Dispersion Measure with the upgraded GMRT


High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise


High Probability Lower Bounds for the Total Variation Distance


High Quality Real-Time Structured Debate Generation


High Recovery with Fewer Injections: Practical Binary Volumetric Injection Attacks against Dynamic Searchable Encryption


High Resolution HST Imaging Survey of Local Star-Forming Galaxies I: Spatially-Resolved Obscured Star Formation with H$α$ and Paschen-$β$ Recombination Lines


High Resolution Modeling and Analysis of Cryptocurrency Mining's Impact on Power Grids: Carbon Footprint, Reliability, and Electricity Price


High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022)


High Temporal Consistency through Semantic Similarity Propagation in Semi-Supervised Video Semantic Segmentation for Autonomous Flight


High Throughput 2D Spatial Image Filters on FPGAs


High Throughput Open-Source Implementation of Wi-Fi 6 and WiMAX LDPC Encoder and Decoder


High and Low Resolution Tradeoffs in Roadside Multimodal Sensing


High angular resolution evidence of dust traps from deep ALMA Band 3 observations of LkCa15


High dimensional regression for regenerative time-series: an application to road traffic modeling


High nucleotide skew palindromic DNA sequences function as replication origins due to their unzipping propensity


High order discretization methods for spatial-dependent epidemic models


High order entropy stable schemes for the quasi-one-dimensional shallow water and compressible Euler equations


High order splitting methods for SDEs satisfying a commutativity condition


High performance reconciliation for practical quantum key distribution systems


High resolution neural connectivity from incomplete tracing data using nonnegative spline regression


High resolution weakly supervised localization architectures for medical images


High spectral resolution multi-tone Spacecraft Doppler tracking software: Algorithms and implementations


High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks


High-$z$ Quasar Candidate Archive: A Spectroscopic Catalog of Quasars and Contaminants in Various Quasar Searches


High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery


High-Cardinality Geometrical Constellation Shaping for the Nonlinear Fibre Channel


High-Dimension Human Value Representation in Large Language Models


High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations


High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification


High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning


High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds


High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces


High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces


High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model


High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching


High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates


High-Dimensional Dynamic Stochastic Model Representation


High-Dimensional Expected Shortfall Regression


High-Dimensional Feature Selection for Genomic Datasets


High-Dimensional Inference in Bayesian Networks


High-Dimensional Model Averaging via Cross-Validation


High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes


High-Dimensional Overdispersed Generalized Factor Model with Application to Single-Cell Sequencing Data Analysis


High-Dimensional Regularized Discriminant Analysis


High-Dimensional Sparse Bayesian Learning without Covariance Matrices


High-Dimensional Sparse Single-Index Regression Via Hilbert-Schmidt Independence Criterion


High-Dimensional Stochastic Optimal Control using Continuous Tensor Decompositions


High-Dimensional Unfolding in Large Backgrounds


High-Dynamic-Range Imaging for Cloud Segmentation


High-Efficiency Neural Video Compression via Hierarchical Predictive Learning


High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies


High-Fidelity 3D Face Generation from Natural Language Descriptions


High-Fidelity Clothed Avatar Reconstruction from a Single Image


High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer


High-Fidelity GAN Inversion for Image Attribute Editing


High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark


High-Fidelity Neural Phonetic Posteriorgrams


High-Fidelity Relightable Monocular Portrait Animation with Lighting-Controllable Video Diffusion Model


High-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization


High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning Activations


High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation


High-Fidelity Virtual Try-on with Large-Scale Unpaired Learning


High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis


High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis


High-Frequency Instabilities of Stokes Waves


High-Frequency Instabilities of a Boussinesq-Whitham System: A Perturbative Approach


High-Frequency Prior-Driven Adaptive Masking for Accelerating Image Super-Resolution


High-Frequency Space Diffusion Models for Accelerated MRI


High-Level Approaches to Hardware Security: A Tutorial


High-Level System Design of IEEE 802.11b Standard-Compliant Link Layer for MATLAB-Based SDR


High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning


High-Order Accuracy Computation of Coupling Functions for Strongly Coupled Oscillators


High-Order Associative Learning Based on Memristive Circuits for Efficient Learning


High-Order Attention Models for Visual Question Answering


High-Order Harmonic Generation in Helium: A Comparison Study


High-Order Hermite Optimization: Fast and Exact Gradient Computation in Open-Loop Quantum Optimal Control using a Discrete Adjoint Approach


High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification


High-Order Integration on regular triangulated manifolds reaches Super-Algebraic Approximation Rates through Cubical Re-parameterizations


High-Order Numerical Integration on Domains Bounded by Intersecting Level Sets


High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-Identification


High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach


High-Performance Code Generation though Fusion and Vectorization


High-Performance Deterministic Concurrency using Lingua Franca


High-Performance Few-Shot Segmentation with Foundation Models: An Empirical Study


High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall Data


High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action Recognition


High-Performance Level-1 and Level-2 BLAS


High-Performance Simultaneous Multiprocessing for Heterogeneous System-on-Chip


High-Performance Sorting-Based k-mer Counting in Distributed Memory with Flexible Hybrid Parallelism


High-Performance Statistical Computing in the Computing Environments of the 2020s


High-Performance Transformers for Table Structure Recognition Need Early Convolutions


High-Performance and Flexible Parallel Algorithms for Semisort and Related Problems


High-Power and Safe RF Wireless Charging: Cautious Deployment and Operation


High-Precision Extraction of Emerging Concepts from Scientific Literature


High-Quality Facial Geometry and Appearance Capture at Home


High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks


High-Quality Iterative Logic Compiler for In-Memory SIMD Computation with Tight Coupling of Synthesis and Scheduling


High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering


High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF


High-Quality Real Time Facial Capture Based on Single Camera


High-Quality Unknown Object Instance Segmentation via Quadruple Boundary Error Refinement


High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights


High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition Datasets


High-Rate Phase Association with Travel Time Neural Fields


High-Resolution Agent-Based Modeling of Campus Population Behaviors for Pandemic Response Planning


High-Resolution CMB Lensing Reconstruction with Deep Learning


High-Resolution Deep Convolutional Generative Adversarial Networks


High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets


High-Resolution Image Editing via Multi-Stage Blended Diffusion


High-Resolution Image Harmonization via Collaborative Dual Transformations


High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation Data


High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D Cine MRI using Online Learning Neural Networks


High-Resolution Optical Flow from 1D Attention and Correlation


High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network


High-Resolution Road Vehicle Collision Prediction for the City of Montreal


High-Resolution Simulations of Giant Impacts: Efficient Spherical Initial Conditions and Next-Generation Performance with SWIFT


High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE


High-Resolution Speech Restoration with Latent Diffusion Model


High-Resolution Swin Transformer for Automatic Medical Image Segmentation


High-Resolution Traffic Sensing with Autonomous Vehicles


High-Resolution Uplink Sensing in Millimeter-Wave ISAC Systems


High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions


High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning


High-Resolution Waveform Capture Device on a Cyclone-V FPGA


High-Speed Motion Planning for Aerial Swarms in Unknown and Cluttered Environments


High-Speed Stereo Visual SLAM for Low-Powered Computing Devices


High-Throughput Data Detection for Massive MU-MIMO-OFDM using Coordinate Descent


High-Throughput Distributed Reinforcement Learning via Adaptive Policy Synchronization


High-Throughput Phenotyping using Computer Vision and Machine Learning


High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning


High-Throughput Rate-Flexible Combinational Decoders for Multi-Kernel Polar Codes


High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings


High-Time Resolution GPU Imager for FRB searches at low radio frequencies


High-accuracy mass, spin, and recoil predictions of generic black-hole merger remnants


High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm


High-cadence stellar variability studies of RR Lyrae stars with DECam: New multi-band templates


High-dimensional Anomaly Detection with Radiative Return in $e^{+}e^{-}$ Collisions


High-dimensional Asymptotics of VAEs: Threshold of Posterior Collapse and Dataset-Size Dependence of Rate-Distortion Curve


High-dimensional Automated Radiation Therapy Treatment Planning via Bayesian Optimization


High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy


High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior


High-dimensional Bayesian optimization using low-dimensional feature spaces


High-dimensional Censored Regression via the Penalized Tobit Likelihood


High-dimensional Convolutional Networks for Geometric Pattern Recognition


High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach


High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm


High-dimensional Multivariate Geostatistics: A Bayesian Matrix-Normal Approach


High-dimensional Nonlinear Bayesian Inference of Poroelastic Fields from Pressure Data


High-dimensional Statistics Applications to Batch Effects in Metabolomics


High-dimensional Varying Index Coefficient Models via Stein's Identity


High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile


High-dimensional and Permutation Invariant Anomaly Detection


High-dimensional approximate nearest neighbor: k-d Generalized Randomized Forests


High-dimensional censored MIDAS logistic regression for corporate survival forecasting


High-dimensional changepoint estimation with heterogeneous missingness


High-dimensional cluster analysis with the Masked EM Algorithm


High-dimensional confounding adjustment using continuous spike and slab priors


High-dimensional copula-based Wasserstein dependence


High-dimensional data segmentation in regression settings permitting temporal dependence and non-Gaussianity


High-dimensional forecasting with known knowns and known unknowns


High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields


High-dimensional order parameters and neural network classifiers applied to amorphous ices


High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking


High-dimensional regression over disease subgroups


High-dimensional regression with potential prior information on variable importance


High-dimensional reinforcement learning for optimization and control of ultracold quantum gases


High-dimensional sparse classification using exponential weighting with empirical hinge loss


High-dimensional sparse vine copula regression with application to genomic prediction


High-dimensional structure underlying individual differences in naturalistic visual experience


High-dimensional time series segmentation via factor-adjusted vector autoregressive modelling


High-dimensional variable clustering based on maxima of a weakly dependent random process


High-energy Neutrino Source Cross-correlations with Nearest-neighbor Distributions


High-energy neutrinos from choked-jet supernovae: Searches and implications


High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization


High-fidelity 3D Human Digitization from Single 2K Resolution Images


High-fidelity 3D Model Compression based on Key Spheres


High-fidelity GAN Inversion with Padding Space


High-fidelity Person-centric Subject-to-Image Synthesis


High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation


High-fidelity intensity diffraction tomography with a non-paraxial multiple-scattering model


High-fidelity reproduction of central galaxy joint distributions with Neural Networks


High-fidelity simulations of microramp-controlled shock wave/boundary layer interaction


High-frequency asymptotic compression of dense BEM matrices for general geometries without ray tracing


High-frequency complex impedance analysis of the two-dimensional semiconducting MXene-$Ti_2CO_2$


High-order Accurate Entropy Stable Schemes for Relativistic Hydrodynamics with General Synge-type Equation of State


High-order Joint Constituency and Dependency Parsing


High-order Multi-view Clustering for Generic Data


High-order exponential integration for seismic wave modeling


High-order finite element method for atomic structure calculations


High-order finite element methods for three-dimensional multicomponent convection-diffusion


High-order implicit time integration scheme with controllable numerical dissipation based on mixed-order Padé expansions


High-order numerical solutions to the shallow-water equations on the rotated cubed-sphere grid


High-order thread-safe lattice Boltzmann model for HPC turbulent flow simulations


High-overtone fits to numerical relativity ringdowns: beyond the dismissed n=8 special tone


High-performance Evolutionary Algorithms for Online Neuron Control


High-performance Time Series Anomaly Discovery on Graphics Processors


High-performance parallel computing in the classroom using the public goods game as an example


High-performance real-world optical computing trained by in situ gradient-based model-free optimization