GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning


GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering


GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts


GraphMI: Extracting Private Graph Data from Graph Neural Networks


GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation


GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?


GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification


GraphMaps: Browsing Large Graphs as Interactive Maps


GraphMix: Improved Training of GNNs for Semi-Supervised Learning


GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts


GraphMuse: A Library for Symbolic Music Graph Processing


GraphNAS: Graph Neural Architecture Search with Reinforcement Learning


GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates


GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering


GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction


GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning


GraphQLer: Enhancing GraphQL Security with Context-Aware API Testing


GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases


GraphReach: Position-Aware Graph Neural Network using Reachability Estimations


GraphReg: Dynamical Point Cloud Registration with Geometry-aware Graph Signal Processing


GraphRevisedIE: Multimodal Information Extraction with Graph-Revised Network


GraphRouter: A Graph-based Router for LLM Selections


GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems


GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification


GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets


GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings


GraphSVX: Shapley Value Explanations for Graph Neural Networks


GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model


GraphScope Flex: LEGO-like Graph Computing Stack


GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search


GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction


GraphSense: Graph Embedding Based Code Suggestion Framework


GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning


GraphSnapShot: Caching Local Structure for Fast Graph Learning


GraphStorm: all-in-one graph machine learning framework for industry applications


GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations


GraphTMT: Unsupervised Graph-based Topic Modeling from Video Transcripts


GraphTSNE: A Visualization Technique for Graph-Structured Data


GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy


GraphTune: A Learning-based Graph Generative Model with Tunable Structural Features


GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow


GraphWOZ: Dialogue Management with Conversational Knowledge Graphs


GraphWiz: An Instruction-Following Language Model for Graph Problems


GraphXAIN: Narratives to Explain Graph Neural Networks


GraphXForm: Graph transformer for computer-aided molecular design


GraphZip: Dictionary-based Compression for Mining Graph Streams


GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding


Graphemic Normalization of the Perso-Arabic Script


GraphiT: Encoding Graph Structure in Transformers


Graphic Design with Large Multimodal Model


Graphical Modeling for Multi-Source Domain Adaptation


Graphical Models for Zero-Inflated Single Cell Gene Expression


Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping


Graphical Object Detection in Document Images


Graphical Principal Component Analysis of Multivariate Functional Time Series


Graphical Reasoning: LLM-based Semi-Open Relation Extraction


Graphical Test for Discrete Uniformity and its Applications in Goodness of Fit Evaluation and Multiple Sample Comparison


Graphical model inference with external network data


Graphical tools for selecting conditional instrumental sets


Graphine: A Dataset for Graph-aware Terminology Definition Generation


Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration


Graphlet Count Estimation via Convolutional Neural Networks


Graphlets over Time: A New Lens for Temporal Network Analysis


Graphnics: Combining FEniCS and NetworkX to simulate flow in complex networks


Graphon based Clustering and Testing of Networks: Algorithms and Theory


Graphormer-Guided Task Planning: Beyond Static Rules with LLM Safety Perception


Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities


Graphs isomorphisms under edge-replacements and the family of amoebas


Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus


Graphsurge: Graph Analytics on View Collections Using Differential Computation


Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets


Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective


Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing


Grasp EveryThing (GET): 1-DoF, 3-Fingered Gripper with Tactile Sensing for Robust Grasping


Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis


Grasp Synthesis for Novel Objects Using Heuristic-based and Data-driven Active Vision Methods


Grasp as You Say: Language-guided Dexterous Grasp Generation


Grasp stability prediction with time series data based on STFT and LSTM


Grasp, See, and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior


Grasp-Anything: Large-scale Grasp Dataset from Foundation Models


GraspClutter6D: A Large-scale Real-world Dataset for Robust Perception and Grasping in Cluttered Scenes


GraspLDM: Generative 6-DoF Grasp Synthesis using Latent Diffusion Models


GraspNeRF: Multiview-based 6-DoF Grasp Detection for Transparent and Specular Objects Using Generalizable NeRF


Grasper: A Generalist Pursuer for Pursuit-Evasion Problems


Grasping Extreme Aerodynamics on a Low-Dimensional Manifold


Grasping Student: semi-supervised learning for robotic manipulation


Grasping in the Dark: Zero-Shot Object Grasping Using Tactile Feedback


Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN


Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction


Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients


Grassmann Stein Variational Gradient Descent


Grassmann and Flag Varieties in Linear Algebra, Optimization, and Statistics: An Algebraic Perspective


Grassmann extrapolation of density matrices for Born-Oppenheimer molecular dynamics


GrassmannTN: a Python package for Grassmann tensor network computations


Grassmannian Optimization for Online Tensor Completion and Tracking with the t-SVD


Gratia: An R package for exploring generalized additive models


Graudally Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images


Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity


Gravitational Waves and Gravitino Mass in No-Scale Supergravity Inflation with Polonyi Term


Gravitational anomaly detection using a satellite constellation: Analysis and simulation


Gravitational corrections to a non-Abelian gauge theory


Gravitational lensing $H_0$ tension from ultralight axion galactic cores


Gravitational lensing of pulsars as a probe of dark matter halos


Gravitational transitions via the explicitly broken symmetron screening mechanism


Gravitational wave inference of star cluster properties from intermediate-mass black hole mergers


Gravitational wave inference on a numerical-relativity simulation of a black hole merger beyond general relativity


Gravitational wave signal recognition of O1 data by deep learning


Gravitational wave sources in our Galactic backyard: Predictions for BHBH, BHNS and NSNS binaries detectable with LISA


Gravitational waves and neutrino oscillations in Chern-Simons axion gravity


Gravitational waves carry information beyond effective spin parameters but it is hard to extract


Gravitational waves from bodies orbiting the Galactic Center black hole and their detectability by LISA


Gravitational waves from dark domain walls


Gravitational-wave Merger Forecasting: Scenarios for the early detection and localization of compact-binary mergers with ground based observatories


Gravitational-wave memory effects in the Damour-Esposito-Farèse extension of Brans-Dicke theory


Gravitational-wave model for neutron star merger remnants with supervised learning


Gravitational-wave selection effects using neural-network classifiers


Gravitational-wave signal-to-noise interpolation via neural networks


Gravitational-wave signatures from reheating


Gravity Compensation of the dVRK-Si Patient Side Manipulator based on Dynamic Model Identification


Gravity Mediated Entanglement between Oscillators as Quantum Superposition of Geometries


Gravity Network for end-to-end small lesion detection


Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning


Gravity particles from Warped Extra Dimensions, predictions for LHC


Gravity-induced birefringence in spherically symmetric spacetimes


Gray Learning from Non-IID Data with Out-of-distribution Samples


Gray-box optimization and factorized distribution algorithms: where two worlds collide


GreaseLM: Graph REASoning Enhanced Language Models for Question Answering


Great Memory, Shallow Reasoning: Limits of $k$NN-LMs


Great Service! Fine-grained Parsing of Implicit Arguments


Great year, bad Sharpe? A note on the joint distribution of performance and risk-adjusted return


Greed is All You Need: An Evaluation of Tokenizer Inference Methods


Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation


Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement


Greedy Decentralized Auction-based Task Allocation for Multi-Agent Systems


Greedy Detection and Exclusion of Multiple Faults using Euclidean Distance Matrices


Greedy Frank-Wolfe Algorithm for Exemplar Selection


Greedy Gradient Ensemble for Robust Visual Question Answering


Greedy Heuristics for Sampling-based Motion Planning in High-Dimensional State Spaces


Greedy Layerwise Learning Can Scale to ImageNet


Greedy Matroid Algorithm And Computational Persistent Homology


Greedy Optimization of Resistance-based Graph Robustness with Global and Local Edge Insertions


Greedy Optimized Multileaving for Personalization


Greedy Relaxations of the Sparsest Permutation Algorithm


Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems


Greedy Search for Descriptive Spatial Face Features


Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation


Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks


Greedy Shapley Client Selection for Communication-Efficient Federated Learning


Greedy Step Averaging: A parameter-free stochastic optimization method


Greedy and Local Search Heuristics to Build Area-Optimal Polygons


Greedy clustering of count data through a mixture of multinomial PCA


Greedy construction of quadratic manifolds for nonlinear dimensionality reduction and nonlinear model reduction


Greedy inference with structure-exploiting lazy maps


Greedy routing optimisation in hyperbolic networks


Greedy structure learning from data that contain systematic missing values


Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs


Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs


Greedy-layer Pruning: Speeding up Transformer Models for Natural Language Processing


GreedyFool: Distortion-Aware Sparse Adversarial Attack


GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack


GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs


GreekT5: A Series of Greek Sequence-to-Sequence Models for News Summarization


Green Algorithms: Quantifying the carbon footprint of computation


Green Application Placement in the Cloud-IoT Continuum


Green Bank and Effelsberg Radio Telescope Searches for Axion Dark Matter Conversion in Neutron Star Magnetospheres


Green HPC: An analysis of the domain based on Top500


Green Hierarchical Vision Transformer for Masked Image Modeling


Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance


Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control


Green Tsetlin Redefining Efficiency in Tsetlin Machine Frameworks


Green Video Complexity Analysis for Efficient Encoding in Adaptive Video Streaming


Green's matching: an efficient approach to parameter estimation in complex dynamic systems


GreenCourier: Carbon-Aware Scheduling for Serverless Functions


GreenEyes: An Air Quality Evaluating Model based on WaveNet


GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS


GreenKGC: A Lightweight Knowledge Graph Completion Method


GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems


GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS


GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost


GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation


Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results


Grey matter sublayer thickness estimation in themouse cerebellum


Greybox Learning of Languages Recognizable by Event-Recording Automata


Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification


GriSPy: A Python package for Fixed-Radius Nearest Neighbors Search


Gricean Norms as a Basis for Effective Collaboration


Grid Anchor based Image Cropping: A New Benchmark and An Efficient Model


Grid Cell Path Integration For Movement-Based Visual Object Recognition


Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building


Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos


Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation


Grid Saliency for Context Explanations of Semantic Segmentation


Grid and Road Expressions Are Complementary for Trajectory Representation Learning


Grid-Coupled Dynamic Response of Battery-Driven Voltage Source Converters


Grid-Free Computation of Probabilistic Safety with Malliavin Calculus


Grid-GCN for Fast and Scalable Point Cloud Learning


Grid-Mapping Pseudo-Count Constraint for Offline Reinforcement Learning


Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agents


Grid-based state space exploration for molecular binding


Grid-free Harmonic Retrieval and Model Order Selection using Deep Convolutional Neural Networks


Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning


GridFormer: Point-Grid Transformer for Surface Reconstruction


GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions


GridMM: Grid Memory Map for Vision-and-Language Navigation


GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds


GridPyM: a Python module to handle grid diagrams


GridRoute: A Benchmark for LLM-Based Route Planning with Cardinal Movement in Grid Environments


GridSE: Towards Practical Secure Geographic Search via Prefix Symmetric Searchable Encryption (Full Version)


Griddy-Gibbs sampling for Bayesian P-splines models with Poisson data


Gridlan: a Multi-purpose Local Grid Computing Framework


Grids Often Outperform Implicit Neural Representations


Gridsemble: Selective Ensembling for False Discovery Rates


Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark


Griffin: Towards a Graph-Centric Relational Database Foundation Model


Grimoire is All You Need for Enhancing Large Language Models


GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs


GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth


GroMo: Plant Growth Modeling with Multiview Images


GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers


Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization


Grokking ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior


Grokking Group Multiplication with Cosets


Grokking at the Edge of Numerical Stability


Grokking of Hierarchical Structure in Vanilla Transformers


Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models


Gromit: Benchmarking the Performance and Scalability of Blockchain Systems


Gromov-Wasserstein Factorization Models for Graph Clustering


Gromov-Wasserstein Learning for Graph Matching and Node Embedding


GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection


GrootVL: Tree Topology is All You Need in State Space Model


Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs


GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation


Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road


Ground State Preparation via Qubitization


Ground States of Quantum Many Body Lattice Models via Reinforcement Learning


Ground Truth Free Denoising by Optimal Transport


Ground and thermal states for the Klein-Gordon field on a massless hyperbolic black hole with applications to the anti-Hawking effect


Ground state and polarization of an hydrogen-like atom near a Weyl semimetal


Ground state wavefunctions of elliptic relativistic integrable Hamiltonians


Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing


Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models


Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process


Ground-State Preparation of the Fermi-Hubbard Model on a Quantum Computer with 2D Topology via Quantum Eigenvalue Transformation of Unitary Matrices


Ground-VIO: Monocular Visual-Inertial Odometry with Online Calibration of Camera-Ground Geometric Parameters


Ground-based adaptive optics coronagraphic performance under closed-loop predictive control


Ground-state properties via machine learning quantum constraints


Ground-to-Aerial Person Search: Benchmark Dataset and Approach


Ground-truth or DAER: Selective Re-query of Secondary Information


Ground-truth resting-state signal provides data-driven estimation and correction for scanner distortion of fMRI time-series dynamics


GroundGrid:LiDAR Point Cloud Ground Segmentation and Terrain Estimation


GroundNLQ @ Ego4D Natural Language Queries Challenge 2023


GroundSLAM: A Robust Visual SLAM System for Warehouse Robots Using Ground Textures


GroundVLP: Harnessing Zero-shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection


Grounded Chain-of-Thought for Multimodal Large Language Models


Grounded Complex Task Segmentation for Conversational Assistants


Grounded Compositional Outputs for Adaptive Language Modeling


Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs


Grounded Copilot: How Programmers Interact with Code-Generating Models


Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation


Grounded Graph Decoding Improves Compositional Generalization in Question Answering


Grounded Intuition of GPT-Vision's Abilities with Scientific Images


Grounded Language Agent for Product Search via Intelligent Web Interactions


Grounded Question-Answering in Long Egocentric Videos


Grounded Situation Recognition with Transformers


Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models


Groundhog: Linearly-Scalable Smart Contracting via Commutative Transaction Semantics


Grounding 3D Object Affordance from 2D Interactions in Images


Grounding Answers for Visual Questions Asked by Visually Impaired People


Grounding Beyond Detection: Enhancing Contextual Understanding in Embodied 3D Grounding


Grounding Bodily Awareness in Visual Representations for Efficient Policy Learning


Grounding Characters and Places in Narrative Texts


Grounding Continuous Representations in Geometry: Equivariant Neural Fields


Grounding Conversations with Improvised Dialogues


Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection


Grounding Descriptions in Images informs Zero-Shot Visual Recognition


Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers


Grounding Everything: Emerging Localization Properties in Vision-Language Transformers


Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics


Grounding Language Models for Visual Entity Recognition


Grounding Language for Transfer in Deep Reinforcement Learning


Grounding Language in Multi-Perspective Referential Communication


Grounding Language to Autonomously-Acquired Skills via Goal Generation


Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning


Grounding Language with Visual Affordances over Unstructured Data


Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning


Grounding Linguistic Commands to Navigable Regions


Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?


Grounding Natural Language to SQL Translation with Data-Based Self-Explanations


Grounding Open-Domain Instructions to Automate Web Support Tasks


Grounding Referring Expressions in Images by Variational Context


Grounding Spatial Relations in Text-Only Language Models


Grounding Spatio-Temporal Language with Transformers


Grounding Synthetic Data Evaluations of Language Models in Unsupervised Document Corpora


Grounding Toxicity in Real-World Events across Languages


Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?


Grounding Visual Representations with Texts for Domain Generalization


Grounding force-directed network layouts with latent space models


Grounding learning of modifier dynamics: An application to color naming


Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter


Grounding-IQA: Multimodal Language Grounding Model for Image Quality Assessment


GroundingSuite: Measuring Complex Multi-Granular Pixel Grounding


Group Activity Prediction with Sequential Relational Anticipation Model


Group Affect Prediction Using Multimodal Distributions


Group Anomaly Detection using Deep Generative Models


Group Buying Recommendation Model Based on Multi-task Learning


Group Contextualization for Video Recognition


Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment


Group Distributionally Robust Dataset Distillation with Risk Minimization


Group Downsampling with Equivariant Anti-aliasing


Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet


Group Equality in Adaptive Submodular Maximization


Group Equivariant Deep Reinforcement Learning


Group Equivariant Stand-Alone Self-Attention For Vision


Group Fairness Metrics for Community Detection Methods in Social Networks


Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion Recognition


Group Gaze-Sharing with Projection Displays


Group Heterogeneity Assessment for Multilevel Models


Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge


Group Linear non-Gaussian Component Analysis with Applications to Neuroimaging


Group Meritocratic Fairness in Linear Contextual Bandits


Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding


Group Orthogonalization Regularization For Vision Models Adaptation and Robustness


Group Preference Optimization: Few-Shot Alignment of Large Language Models


Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications


Group R-CNN for Weakly Semi-supervised Object Detection with Points


Group SELFIES: A Robust Fragment-Based Molecular String Representation


Group Sequential Testing of a Treatment Effect Using a Surrogate Marker


Group Sparse Regularization for Deep Neural Networks


Group Testing for Accurate and Efficient Range-Based Near Neighbor Search for Plagiarism Detection


Group action Markov chain Monte Carlo for accelerated sampling of energy landscapes with discrete symmetries and energy barriers


Group based Personalized Search by Integrating Search Behaviour and Friend Network


Group integrative dynamic factor models with application to multiple subject brain connectivity


Group interactions modulate critical mass dynamics in social convention


Group lasso based selection for high-dimensional mediation analysis


Group segmentation and heterogeneity in the choice of cooking fuels in post-earthquake Nepal


Group sequential hypothesis tests with variable group sizes: optimal design and performance evaluation


Group sequential two-stage preference designs


Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning


Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting


Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation


Group-Buying Recommendation for Social E-Commerce


Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks


Group-based Robustness: A General Framework for Customized Robustness in the Real World


Group-blind optimal transport to group parity and its constrained variants


Group-in-Group Policy Optimization for LLM Agent Training


Group-level Brain Decoding with Deep Learning


Group-level Emotion Recognition using Transfer Learning from Face Identification


Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions


Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network


Group-wise Contrastive Learning for Neural Dialogue Generation


Group-wise Inhibition based Feature Regularization for Robust Classification


Group-wise normalization in differential abundance analysis of microbiome samples


Group-wise shrinkage estimation in penalized model-based clustering


GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding


GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer


GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation


GroupMamba: Efficient Group-Based Visual State Space Model


GroupTuner: Efficient Group-Aware Compiler Auto-Tuning


Grouped Discrete Representation for Object-Centric Learning


Grouped Generalized Estimating Equations for Longitudinal Data Analysis


Grouped Heterogeneous Mixture Modeling for Clustered Data


Grouped Transformations and Regularization in High-Dimensional Explainable ANOVA Approximation


Grouped Variable Selection for Generalized Eigenvalue Problems


Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives


Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers


Grouping promotes both partnership and rivalry with long memory in direct reciprocity


Groups of order 64 and non-homeomorphic double Kodaira fibrations with the same biregular invariants


Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions


Groupwise Multimodal Image Registration using Joint Total Variation


Groupwise Query Performance Prediction with BERT


Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection


GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?


GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds


Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines


Growing 3D Artefacts and Functional Machines with Neural Cellular Automata


Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity


Growing Graphs with Hyperedge Replacement Graph Grammars


Growing Neural Network with Shared Parameter


Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy


Growing Story Forest Online from Massive Breaking News


Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of Speech


Growing Trees with an Agent: Accelerating RRTs with Learned, Multi-Step Episodic Exploration


Growing a Test Corpus with Bonsai Fuzzing


Growing axons: greedy learning of neural networks with application to function approximation


Growing black-hole hair in nonminimally coupled biscalar gravity


Growing hyperbolic networks beyond two dimensions: the generalised popularity-similarity optimisation model


Growing the Efficient Frontier on Panel Trees


Gröbner Basis Cryptanalysis of Ciminion and Hydra


GuP: Fast Subgraph Matching by Guard-based Pruning


GuRE:Generative Query REwriter for Legal Passage Retrieval


GuacaMol: Benchmarking Models for De Novo Molecular Design


GuaranTEE: Towards Attestable and Private ML with CCA


Guarantee Regions for Local Explanations


Guaranteed Bounds on Posterior Distributions of Discrete Probabilistic Programs with Loops


Guaranteed Conformance of Neurosymbolic Models to Natural Constraints


Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics


Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction


Guaranteed Model-Based Fault Detection in Cyber-Physical Systems: A Model Invalidation Approach


Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory


Guaranteed Recovery of Unambiguous Clusters


Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference


Guaranteed Tensor Recovery Fused Low-rankness and Smoothness


Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis


Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping


Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks


Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning


Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems


Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions


Guarantees for Greedy Maximization of Non-submodular Functions with Applications


Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability


Guarantees for Spectral Clustering with Fairness Constraints


Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument


Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds


Guarantees on Robot System Performance Using Stochastic Simulation Rollouts


GuardRails: Automated Suggestions for Clarifying Ambiguous Purpose Statements


GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning


GuardReasoner: Towards Reasoning-based LLM Safeguards


GuardSplat: Efficient and Robust Watermarking for 3D Gaussian Splatting


GuardT2I: Defending Text-to-Image Models from Adversarial Prompts


Guarded Kleene Algebra with Tests: Automata Learning


Guarded Query Routing for Large Language Models


Guarded Successor: A Novel Temporal Logic


Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles


Guardian: symbolic validation of orderliness in SGX enclaves


Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics


Guardians of the Agentic System: Preventing Many Shots Jailbreak with Agentic System


Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!


Guarding Barlow Twins Against Overfitting with Mixed Samples


Guarding Offices with Maximum Dispersion


Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification


Guardrail Baselines for Unlearning in LLMs


Guess What Quantum Computing Can Do for Test Case Optimization


Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners


GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors


GuiTeNet: A graphical user interface for tensor networks


Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-Resolution


Guidance Graph Optimization for Lifelong Multi-Agent Path Finding


Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis


Guidance on Individualized Treatment Rule Estimation in High Dimensions


Guidance with Spherical Gaussian Constraint for Conditional Diffusion


Guide Actor-Critic for Continuous Control


Guide Local Feature Matching by Overlap Estimation


Guide for Defense (G4D): Dynamic Guidance for Robust and Balanced Defense in Large Language Models


Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities


Guide to Numerical Experiments on Elections in Computational Social Choice


Guide to k-mer approaches for genomics across the tree of life


Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing


GuideGen: A Text-Guided Framework for Full-torso Anatomy and CT Volume Generation


GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents


GuideR: a guided separate-and-conquer rule learning in classification, regression, and survival settings


Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency


Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses


Guided Attention for Interpretable Motion Captioning


Guided Conditional Diffusion for Controllable Traffic Simulation


Guided Data Discovery in Interactive Visualizations via Active Search


Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources


Guided Depth Map Super-resolution: A Survey


Guided Depth Super-Resolution by Deep Anisotropic Diffusion


Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog


Guided Diffusion Sampling on Function Spaces with Applications to PDEs


Guided Diffusion for Fast Inverse Design of Density-based Mechanical Metamaterials


Guided Distillation for Semi-Supervised Instance Segmentation


Guided Evolution for Neural Architecture Search


Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization


Guided Exploration with Proximal Policy Optimization using a Single Demonstration


Guided Fine-Tuning for Large-Scale Material Transfer


Guided Game Level Repair via Explainable AI


Guided Graph Compression for Quantum Graph Neural Networks


Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching


Guided Image Synthesis via Initial Image Editing in Diffusion Model


Guided Image-to-Image Translation with Bi-Directional Feature Transformation


Guided Multi-objective Generative AI to Enhance Structure-based Drug Design


Guided Navigation from Multiple Viewpoints using Qualitative Spatial Reasoning


Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation


Guided Nonlocal Means Estimation of Polarimetric Covariance for Canopy State Classification


Guided Policy Optimization under Partial Observability


Guided Policy Search as Approximate Mirror Descent


Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images


Guided Quantum Compression for High Dimensional Data Classification


Guided Real Image Dehazing using YCbCr Color Space


Guided Reasoning: A Non-Technical Introduction


Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs


Guided Slot Attention for Unsupervised Video Object Segmentation


Guided Speculative Inference for Efficient Test-Time Alignment of LLMs


Guided Stream of Search: Learning to Better Search with Language Models via Optimal Path Guidance


Guided Super-Resolution as Pixel-to-Pixel Transformation


Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization


Guided Waves in Static Curved Spacetimes


Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation


Guided evolutionary strategies: Augmenting random search with surrogate gradients


Guided patch-wise nonlocal SAR despeckling


Guided run-and-tumble active particles: wall accumulation and preferential deposition


Guided search for desired functional responses via Bayesian optimization of generative model: hysteresis loop shape engineering in ferroelectrics


Guided sequential ABC schemes for intractable Bayesian models


Guided smoothing and control for diffusion processes


Guided structure learning of DAGs for count data


Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule


GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference


GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps


Guidelines For The Choice Of The Baseline in XAI Attribution Methods


Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps


Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification


Guidelines for Experimental Algorithmics in Network Analysis


Guidelines for reporting cell types: the MIRACL standard


Guidelines for writing and reviewing software in computer algebra


Guidelines to Develop Trustworthy Conversational Agents for Children


Guiding AMR Parsing with Reverse Graph Linearization


Guiding Attention for Self-Supervised Learning with Transformers


Guiding Attention in End-to-End Driving Models


Guiding Computational Stance Detection with Expanded Stance Triangle Framework


Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion


Guiding Data Collection via Factored Scaling Curves


Guiding Energy-based Models via Contrastive Latent Variables


Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators


Guiding Evolutionary Strategies by Differentiable Robot Simulators


Guiding Extractive Summarization with Question-Answering Rewards


Guiding Generative Protein Language Models with Reinforcement Learning


Guiding High-Performance SAT Solvers with Unsat-Core Predictions


Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation


Guiding Inferences in Connection Tableau by Recurrent Neural Networks


Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers


Guiding Large Language Models via Directional Stimulus Prompting


Guiding Machine Perception with Psychophysics


Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram


Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame


Guiding Neural Entity Alignment with Compatibility


Guiding New Physics Searches with Unsupervised Learning


Guiding Next-Step Hint Generation Using Automated Tests


Guiding Online Reinforcement Learning with Action-Free Offline Pretraining


Guiding Pretraining in Reinforcement Learning with Large Language Models


Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control


Guiding Through Complexity: What Makes Good Supervision for Hard Reasoning Tasks?


Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types


Guiding adaptive shrinkage by co-data to improve regression-based prediction and feature selection


Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming


Guiding continuous operator learning through Physics-based boundary constraints


Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing


Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines


Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring


Guiding vector fields in Paparazzi autopilot


Guiding-Based Importance Sampling for Walk on Stars


Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks


GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection


Gumbel Counterfactual Generation From Language Models


GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick


Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models


Gusts in the Headwind: Uncertainties in Direct Dark Matter Detection


Guylingo: The Republic of Guyana Creole Corpora


Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning


GymD2D: A Device-to-Device Underlay Cellular Offload Evaluation Platform


Gymnasium: A Standard Interface for Reinforcement Learning Environments


GypSum: Learning Hybrid Representations for Code Summarization


Gyr-timescale destruction of high-eccentricity asteroids by spin and why 2006 HY51 has been spared


Gyroresonance and free-free radio emissions from multi-thermal multi-component plasma


Gyroscope-Assisted Motion Deblurring Network


GzScenic: Automatic Scene Generation for Gazebo Simulator


Gzip versus bag-of-words for text classification


H$_2$O$_2$RAM: A High-Performance Hierarchical Doubly Oblivious RAM


H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression


H(curl)-based approximation of the Stokes problem with slip boundary conditions


H-AES: Towards Automated Essay Scoring for Hindi


H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking


H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation


H-FCBFormer Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper


H-FISTA: A hierarchical algorithm for phase retrieval with application to pulsar dynamic spectra


H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction


H-MoRe: Learning Human-centric Motion Representation for Action Analysis


H-NeXt: The next step towards roto-translation invariant networks


H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing


H-SLAM: Hybrid Direct-Indirect Visual SLAM


H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem


H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing


H-alpha and Ca II Infrared Triplet Variations During a Transit of the 23 Myr Planet V1298 Tau c


H-band light curves of Milky Way Cepheids via Difference Imaging


H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation


H-wave -- A Python package for the Hartree-Fock approximation and the random phase approximation


H1jet, a fast program to compute transverse momentum distributions


H2 optimal rational approximation on general domains


H2-MG: A multigrid method for hierarchical rank structured matrices


H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation


H2CGL: Modeling Dynamics of Citation Network for Impact Prediction


H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness


H3-Mapping: Quasi-Heterogeneous Feature Grids for Real-time Dense Mapping Using Hierarchical Hybrid Representation


H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical Imaging


H3WB: Human3.6M 3D WholeBody Dataset and Benchmark


HA-HI: Synergising fMRI and DTI through Hierarchical Alignments and Hierarchical Interactions for Mild Cognitive Impairment Diagnosis


HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object Detection


HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding


HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing Aids


HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles


HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction


HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection


HACK: Learning a Parametric Head and Neck Model for High-fidelity Animation


HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks


HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation


HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images


HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling


HADES: Homologous Automated Document Exploration and Summarization


HADL Framework for Noise Resilient Long-Term Time Series Forecasting


HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models


HAFix: History-Augmented Large Language Models for Bug Fixing


HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution


HAHA: Highly Articulated Gaussian Human Avatars with Textured Mesh Prior


HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level


HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding


HAIBU-ReMUD: Reasoning Multimodal Ultrasound Dataset and Model Bridging to General Specific Domains


HAIFIT: Human-to-AI Fashion Image Translation


HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving


HAIR: Hypernetworks-based All-in-One Image Restoration


HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation


HAL-based Plugin Estimation of the Causal Dose-Response Curve


HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs


HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding


HALLUCINOGEN: A Benchmark for Evaluating Object Hallucination in Large Visual-Language Models


HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs


HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs


HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making


HALO: Hazard-Aware Landing Optimization for Autonomous Systems


HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems


HALO: Learning to Prune Neural Networks with Shrinkage


HALO: Robust Out-of-Distribution Detection via Joint Optimisation


HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training


HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging


HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition


HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation


HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction


HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images


HANet: Hierarchical Alignment Networks for Video-Text Retrieval


HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance


HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis


HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception


HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions


HAPI: A Model for Learning Robot Facial Expressions from Human Preferences


HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion


HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization


HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data


HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class


HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics


HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning


HARE: a Flexible Highlighting Annotator for Ranking and Exploration


HARFE: Hard-Ridge Random Feature Expansion


HARNet: A Convolutional Neural Network for Realized Volatility Forecasting


HARP: A Large-Scale Higher-Order Ambisonic Room Impulse Response Dataset


HARP: A challenging human-annotated math reasoning benchmark


HARP: Hesitation-Aware Reframing in Transformer Inference Pass


HARP: Practically and Effectively Identifying Uncorrectable Errors in Memory Chips That Use On-Die Error-Correcting Codes


HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection


HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks


HART: Efficient Visual Generation with Hybrid Autoregressive Transformer


HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences


HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation


HASN: Hybrid Attention Separable Network for Efficient Image Super-resolution


HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection


HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator


HASSOD: Hierarchical Adaptive Self-Supervised Object Detection


HAT: Hierarchical Aggregation Transformers for Person Re-identification


HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization


HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference


HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images


HATPIC: An Open-Source Single Axis Haptic Joystick for Robotic Development


HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction


HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis


HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning


HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks


HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments


HAZE-Net: High-Frequency Attentive Super-Resolved Gaze Estimation in Low-Resolution Face Images


HAZniCS -- Software Components for Multiphysics Problems


HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition


HBIC: A Biclustering Algorithm for Heterogeneous Datasets


HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models


HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions


HBS -- Hardware Build System: A Tcl-based, minimal common abstraction approach for build system for hardware designs


HBST: A Hamming Distance embedding Binary Search Tree for Visual Place Recognition


HBTP: Heuristic Behavior Tree Planning with Large Language Model Reasoning


HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection


HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation


HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus


HC4: A New Suite of Test Collections for Ad Hoc CLIR


HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling


HCAST: Human-Calibrated Autonomy Software Tasks


HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation


HCDN: A Change Detection Network for Construction Housekeeping Using Feature Fusion and Large Vision Models


HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection


HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks


HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection


HCGrid: A Convolution-based Gridding Framework for RadioAstronomy in Hybrid Computing Environments


HCI Papers Cite HCI Papers, Increasingly So


HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer Segmentation


HCMA: Hierarchical Cross-model Alignment for Grounded Text-to-Image Generation


HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts


HCN and C2H2 in the atmosphere of a T8.5+T9 brown dwarf binary


HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting


HCR-Net: A deep learning based script independent handwritten character recognition network


HCT: Hybrid Convnet-Transformer for Parkinson's disease detection and severity prediction from gait


HCTO: Optimality-Aware LiDAR Inertial Odometry with Hybrid Continuous Time Optimization for Compact Wearable Mapping System


HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty


HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification


HCqa: Hybrid and Complex Question Answering on Textual Corpus and Knowledge Graph


HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models


HD2Reg: Hierarchical Descriptors and Detectors for Point Cloud Registration


HDBFormer: Efficient RGB-D Semantic Segmentation with A Heterogeneous Dual-Branch Framework


HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition


HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning


HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym


HDEE: Heterogeneous Domain Expert Ensemble


HDFITS: porting the FITS data model to HDF5


HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic Workflows


HDFormer: High-order Directed Transformer for 3D Human Pose Estimation


HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding


HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification


HDLTex: Hierarchical Deep Learning for Text Classification


HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases


HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model


HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization


HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data


HDR Environment Map Estimation for Real-Time Augmented Reality


HDR image reconstruction from a single exposure using deep CNNs


HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions


HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields


HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization


HDSDP: Software for Semidefinite Programming


HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting


HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation Methods


HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose Estimation


HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models


HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors


HEAL-SWIN: A Vision Transformer On The Sphere


HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data


HEALPix Alchemy: Fast All-Sky Geometry and Image Arithmetic in a Relational Database for Multimessenger Astronomy Brokers


HEALPix View-order for 3D Radial Self-Navigated Motion-Corrected ZTE MRI


HEAPO -- An Open Dataset for Heat Pump Optimization with Smart Electricity Meter Data and On-Site Inspection Protocols


HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue


HEAR: Holistic Evaluation of Audio Representations


HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs


HEART: A New X-Ray Tracing Code for Mosaic Crystal Spectrometers


HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection


HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs


HEAT: Holistic Edge Attention Transformer for Structured Reconstruction


HEAT: Hyperbolic Embedding of Attributed Networks


HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation


HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles


HECO: Fully Homomorphic Encryption Compiler


HEDGE: Efficient Traffic Classification of Encrypted and Compressed Packets


HEDI: First-Time Clinical Application and Results of a Biomechanical Evaluation and Visualisation Tool for Incisional Hernia Repair


HEDS 3.0: The Human Evaluation Data Sheet Version 3.0


HEFT: Homomorphically Encrypted Fusion of Biometric Templates


HEGEL: Hypergraph Transformer for Long Document Summarization


HEK VI: On the Dearth of Galilean Analogs in Kepler and the Exomoon Candidate Kepler-1625b I


HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention


HELFI: a Hebrew-Greek-Finnish Parallel Bible Corpus with Cross-Lingual Morpheme Alignment


HELLINGER-UCB: A novel algorithm for stochastic multi-armed bandit problem and cold start problem in recommender system


HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts


HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning


HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding


HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image Segmentation


HELoC: Hierarchical Contrastive Learning of Source Code Representation


HEMIT: H&E to Multiplex-immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator


HEMM: Holistic Evaluation of Multimodal Foundation Models


HEMVIP: Human Evaluation of Multiple Videos in Parallel


HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media


HENN: A Hierarchical Epsilon Net Navigation Graph for Approximate Nearest Neighbor Search


HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras


HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage


HEOM-QUICK2: a general-purpose simulator for fermionic many-body open quantum systems -- An Update


HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogeneous Multiprocessor Platforms


HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models


HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization


HERDPhobia: A Dataset for Hate Speech against Fulani in Nigeria


HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja


HERITRACE: A User-Friendly Semantic Data Editor with Change Tracking and Provenance Management for Cultural Heritage Institutions


HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation


HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction


HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics


HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance


HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training


HEROS: Hierarchical Exploration with Online Subregion Updating for 3D Environment Coverage


HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing


HERS: Homomorphically Encrypted Representation Search


HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption


HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization


HEViTPose: High-Efficiency Vision Transformer for Human Pose Estimation


HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms


HEXGEN-TEXT2SQL: Optimizing LLM Inference Request Scheduling for Agentic Text-to-SQL Workflow


HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts


HEroBM: a deep equivariant graph neural network for universal backmapping from coarse-grained to all-atom representations


HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details


HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction


HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher Resolution


HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity


HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection


HFT: Lifting Perspective Representations via Hybrid Feature Transformation


HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse


HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering


HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control


HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation


HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding


HGCN: Harmonic gated compensation network for speech enhancement


HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces


HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation


HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation


HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation


HGP-RL: Distributed Hierarchical Gaussian Processes for Wi-Fi-based Relative Localization in Multi-Robot Systems


HGPflow: Extending Hypergraph Particle Flow to Collider Event Reconstruction


HGRN2: Gated Linear RNNs with State Expansion


HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection


HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction


HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction


HHAvatar: Gaussian Head Avatar with Dynamic Hairs


HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval


HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings


HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty


HI Ly$α$ Emission from a Metal-Poor Cool Stream Fueling an Early Dusty Starburst


HI and cosmological constraints from intensity mapping, optical, and CMB surveys


HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction


HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models


HIC-YOLOv5: Improved YOLOv5 For Small Object Detection


HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models


HICF: Hyperbolic Informative Collaborative Filtering


HICH Image/Text (HICH-IT): Comprehensive Text and Image Datasets for Hypertensive Intracerebral Hemorrhage Research


HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding


HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models


HIDRA: Head Initialization across Dynamic targets for Robust Architectures


HIDRO-VQA: High Dynamic Range Oracle for Video Quality Assessment


HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification


HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning


HIFIR: Hybrid Incomplete Factorization with Iterative Refinement for Preconditioning Ill-conditioned and Singular Systems


HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks


HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis


HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap


HILCodec: High-Fidelity and Lightweight Neural Audio Codec


HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification


HINER: Neural Representation for Hyperspectral Image


HINT3: Raising the bar for Intent Detection in the Wild


HINT: A Hierarchical Index for Intervals in Main Memory


HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks


HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data


HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference


HINT: Hierarchical Neuron Concept Explainer


HINT: High-quality INPainting Transformer with Mask-Aware Encoding and Enhanced Attention


HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer


HIP 67506 C: MagAO-X Confirmation of a New Low-Mass Stellar Companion to HIP 67506 A


HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph


HIPPO: Enhancing the Table Understanding Capability of Large Language Models through Hybrid-Modal Preference Optimization


HIPPODROME: Data Race Repair using Static Analysis Summaries


HIPTrack: Visual Tracking with Historical Prompts


HIQL: Offline Goal-Conditioned RL with Latent States as Actions


HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models


HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise


HIRL: A General Framework for Hierarchical Image Representation Learning


HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis


HIST-Critical Graphs and Malkevitch's Conjecture


HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information


HISTAI: An Open-Source, Large-Scale Whole Slide Image Dataset for Computational Pathology


HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection


HITSnDIFFs: From Truth Discovery to Ability Discovery by Recovering Matrices with the Consecutive Ones Property


HITgram: A Platform for Experimenting with n-gram Language Models


HIVE: Evaluating the Human Interpretability of Visual Explanations


HIVE: Harnessing Human Feedback for Instructional Visual Editing


HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation


HKF: Hierarchical Kalman Filtering with Online Learned Evolution Priors for Adaptive ECG Denoising


HKUST at SemEval-2023 Task 1: Visual Word Sense Disambiguation with Context Augmentation and Visual Assistance


HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales


HL-Net: Heterophily Learning Network for Scene Graph Generation


HLA class I binding prediction via convolutional neural networks


HLA predictions from long sequence read alignments, streamed directly into HLAminer


HLA-Face: Joint High-Low Adaptation for Low Light Face Detection


HLAT: High-quality Large Language Model Pre-trained on AWS Trainium


HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking


HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection


HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling


HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction


HLO: Half-kernel Laplacian Operator for Surface Smoothing


HLOC: Hints-Based Geolocation Leveraging Multiple Measurement Frameworks


HLS-Eval: A Benchmark and Framework for Evaluating LLMs on High-Level Synthesis Design Tasks


HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis


HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond


HLSPilot: LLM-based High-Level Synthesis


HLSTransform: Energy-Efficient Llama 2 Inference on FPGAs Via High Level Synthesis


HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video Understanding


HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methods


HM-LDM: A Hybrid-Membership Latent Distance Model


HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion Imagery


HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation


HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction


HM: Hybrid Masking for Few-Shot Segmentation


HMAFlow: Learning More Accurate Optical Flow via Hierarchical Motion Field Alignment


HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution


HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation


HMD-EgoPose: Head-Mounted Display-Based Egocentric Marker-Less Tool and Hand Pose Estimation for Augmented Surgical Guidance


HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling


HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification


HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments


HMM-LSTM Fusion Model for Economic Forecasting


HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne Perspective


HMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm


HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image Segmentation


HMT: Hierarchical Memory Transformer for Long Context Language Processing


HNCI: High-Dimensional Network Causal Inference


HNPE: Leveraging Global Parameters for Neural Posterior Estimation


HNS: An Efficient Hermite Neural Solver for Solving Time-Fractional Partial Differential Equations


HNeRV: A Hybrid Neural Representation for Videos


HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction


HOAA: Hybrid Overestimating Approximate Adder for Enhanced Performance Processing Engine


HOD: A Benchmark Dataset for Harmful Object Detection


HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance


HODLR$d$D: A new Black-box fast algorithm for $N$-body problems in $d$-dimensions with guaranteed error bounds


HOEG: A New Approach for Object-Centric Predictive Process Monitoring


HOG, LBP and SVM based Traffic Density Estimation at Intersection


HOG-Diff: Higher-Order Guided Diffusion for Graph Generation


HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction


HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models


HOID: Higher Order Interpolatory Decomposition for tensors based on Tucker representation


HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields


HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video


HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers


HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units


HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step


HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation


HOPE for a Robust Parameterization of Long-memory State Space Models


HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation


HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios


HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation


HOPE: An Automatically Differentiable High-Order Non-Oscillatory Finite-Volume Shallow-Water Dynamic Core


HOPE: High-order Polynomial Expansion of Black-box Neural Networks


HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment


HOPF: Higher Order Propagation Framework for Deep Collective Classification


HOPPY: An open-source and low-cost kit for dynamic robotics education


HOQST: Hamiltonian Open Quantum System Toolkit


HORAE: A Domain-Agnostic Language for Automated Service Regulation


HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design


HOTR: End-to-End Human-Object Interaction Detection with Transformers


HOUND: High-Order Universal Numerical Differentiator for a Parameter-free Polynomial Online Approximation


HP-BERT: A framework for longitudinal study of Hinduphobia on social media via LLMs


HP-GMN: Graph Memory Networks for Heterophilous Graphs


HPCC-YNU at SemEval-2020 Task 9: A Bilingual Vector Gating Mechanism for Sentiment Analysis of Code-Mixed Text


HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion


HPIM-DM: a fast and reliable dense-mode multicast routing protocol (extended version)


HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds


HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention


HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis


HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML


HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO


HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration


HPRA: Hyperedge Prediction using Resource Allocation


HPRN: Holistic Prior-embedded Relation Network for Spectral Super-Resolution


HPSCAN: Human Perception-Based Scattered Data Clustering


HPSGD: Hierarchical Parallel SGD With Stale Gradients Featuring


HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification


HPix: Generating Vector Maps from Satellite Images


HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images


HQ-50K: A Large-scale, High-quality Dataset for Image Restoration


HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text


HQDec: Self-Supervised Monocular Depth Estimation Based on a High-Quality Decoder


HQOD: Harmonious Quantization for Object Detection


HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation


HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation


HR-EBSD analysis of in situ stable crack growth at the micron scale


HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting


HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera


HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent


HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers


HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation


HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems Immunity


HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicits


HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization


HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical Documents


HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and Explainability


HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation


HRDoc: Dataset and Baseline Method Toward Hierarchical Reconstruction of Document Structures


HREB-CRF: Hierarchical Reduced-bias EMA for Chinese Named Entity Recognition


HREF: Human Response-Guided Evaluation of Instruction Following in Language Models


HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer


HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection


HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks


HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation


HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point clouds


HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction


HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression


HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention Modeling


HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization


HRRPGraphNet: Make HRRPs to Be Graphs for Efficient Target Recognition


HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models


HRSAM: Efficient Interactive Segmentation in High-Resolution Images


HRTF measurement for accurate sound localization cues


HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection


HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection


HRank: Filter Pruning using High-Rank Feature Map


HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration


HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels


HS-Diffusion: Semantic-Mixing Diffusion for Head Swapping


HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation


HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation


HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios


HSANET: A Hybrid Self-Cross Attention Network For Remote Sensing Change Detection


HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR


HSD Shared Task in VLSP Campaign 2019:Hate Speech Detection for Social Good


HSD: A hierarchical singing annotation dataset


HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation


HSIGene: A Foundation Model For Hyperspectral Image Generation


HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification


HSLiNets: Evaluating Band Ordering Strategies in Hyperspectral and LiDAR Fusion


HSOD-BIT-V2: A New Challenging Benchmarkfor Hyperspectral Salient Object Detection


HSRMamba: Contextual Spatial-Spectral State Space Model for Single Image Hyperspectral Super-Resolution


HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-Resolution


HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset


HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models


HSTPROMO Internal Proper Motion Kinematics of Dwarf Spheroidal Galaxies: I. Velocity Anisotropy and Dark Matter Cusp Slope of Draco


HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning


HSViT: Horizontally Scalable Vision Transformer


HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces


HTC-DC Net: Monocular Height Estimation from Single Remote Sensing Images


HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization


HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN


HTNet: Human Topology Aware Network for 3D Human Pose Estimation


HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation


HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction


HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms


HUBERT Untangles BERT to Improve Transfer across NLP Tasks


HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea


HUI-Audio-Corpus-German: A high quality TTS dataset


HULAT at SemEval-2023 Task 10: Data augmentation for pre-trained transformers applied to the detection of sexism in social media


HULAT at SemEval-2023 Task 9: Data augmentation for pre-trained transformers applied to Multilingual Tweet Intimacy Analysis


HULLMI: Human vs LLM identification with explainability


HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media


HUMAN: Hierarchical Universal Modular ANnotator


HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes


HUMAP: Hierarchical Uniform Manifold Approximation and Projection


HUME: Human UCCA-Based Evaluation of Machine Translation


HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning


HUSP-SP: Faster Utility Mining on Sequence Data


HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection


HUXt -- An open source, computationally efficient reduced-physics solar wind model, written in Python


HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection


HVAQ: A High-Resolution Vision-Based Air Quality Dataset


HVDetFusion: A Simple and Robust Camera-Radar Fusion Framework


HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation


HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement


HVM-1: Large-scale video models pretrained with nearly 5000 hours of human-like video data


HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree


HVOX: Scalable Interferometric Synthesis and Analysis of Spherical Sky Maps


HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection


HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation


HVSRweb: An Open-Source, Web-Based Application for Horizontal-to-Vertical Spectral Ratio Processing


HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean Space


HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image


HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark


HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion


HW/SW Codesign for Robust and Efficient Binarized SNNs by Capacitor Minimization


HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation


HWO Yield Sensitivities in the NIR and NUV


HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection


HYB-VITON: A Hybrid Approach to Virtual Try-On Combining Explicit and Implicit Warping


HYBRIDFORMER: improving SqueezeFormer with hybrid attention and NSR mechanism


HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning


HYDRA: Competing convolutional kernels for fast and accurate time series classification


HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting


HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks


HYDRA: Model Factorization Framework for Black-Box LLM Personalization


HYGENE: A Diffusion-based Hypergraph Generation Method


HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning


HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion


HYREC-2: a highly accurate sub-millisecond recombination code


HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations


HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments


HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition


HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions


HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning


HaPy-Bug -- Human Annotated Python Bug Resolution Dataset


HaSPeR: An Image Repository for Hand Shadow Puppet Recognition


HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding


HaTT: Hadamard avoiding TT recompression


HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language


HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers


Haar-random and pretty good measurements for Bayesian state estimation


Habaek: High-performance water segmentation through dataset expansion and inductive bias optimization


HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation


Habitability in 4-D: Predicting the Climates of Earth Analogs across Rotation and Orbital Configurations


Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI


HabitatDyn Dataset: Dynamic Object Detection to Kinematics Estimation


Habitizing Diffusion Planning for Efficient and Effective Decision Making


Habits and goals in synergy: a variational Bayesian framework for behavior


Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data


HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning


HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing


Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks


Hacking Generative Models with Differentiable Network Bending


Hacking Task Confounder in Meta-Learning


Hacking the Colony: On the Disruptive Effect of Misleading Pheromone and How to Defend Against It


Hacky Racers: Exploiting Instruction-Level Parallelism to Generate Stealthy Fine-Grained Timers


Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer


Hadamard Wirtinger Flow for Sparse Phase Retrieval


Hadronic light-by-light scattering contribution to the muon $g-2$ from lattice QCD: semi-analytical calculation of the QED kernel


Hadwiger's Conjecture with Certain Forbidden Induced Subgraphs


Hafnia Hands: A Multi-Skin Hand Texture Resource for Virtual Reality Research


Haha-Pod: An Attempt for Laughter-based Non-Verbal Speaker Verification


HairCLIP: Design Your Hair by Text and Reference Image


HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending


HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach


Halcyon -- A Pathology Imaging and Feature analysis and Management System


Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus


Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement


Half-Hop: A graph upsampling approach for slowing down message passing


Half-Inverse Gradients for Physical Deep Learning


Half-Quadratic Alternating Direction Method of Multipliers for Robust Orthogonal Tensor Approximation


Half-Truth: A Partially Fake Audio Detection Dataset


Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework


HalftimeHash: Modern Hashing without 64-bit Multipliers or Finite Fields


Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation


Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer


Hallo4: High-Fidelity Dynamic Portrait Animation via Direct Preference Optimization and Temporal Motion Modulation


Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs


HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information


HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data


Hallucinated Adversarial Control for Conservative Offline Policy Evaluation


Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation


Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization


Hallucinating Agnostic Images to Generalize Across Domains


Hallucinating Optical Flow Features for Video Classification


Hallucination Augmented Contrastive Learning for Multimodal Large Language Model


Hallucination Benchmark in Medical Visual Question Answering


Hallucination Detection in LLMs Using Spectral Features of Attention Maps


Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models


Hallucination Elimination and Semantic Enhancement Framework for Vision-Language Models in Traffic Scenarios


Hallucination In Object Detection -- A Study In Visual Part Verification


Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks


Hallucination Reduction in Long Input Text Summarization


Hallucination of Multimodal Large Language Models: A Survey


Hallucination, Monofacts, and Miscalibration: An Empirical Investigation


Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models


Hallucination-aware Optimization for Large Language Model-empowered Communications


Hallucinations in Large Multilingual Translation Models


Hallucinative Topological Memory for Zero-Shot Visual Planning


Halo Properties from Observable Measures of Environment: I. Halo and Subhalo Masses


Halo assembly bias from Separate Universe simulations


Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models


HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning


HaltingVT: Adaptive Token Halting Transformer for Efficient Video Recognition


Halton Scheduler For Masked Generative Image Transformer


HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild


Ham2Pose: Animating Sign Language Notation into Pose Sequences


HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware


HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks


Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba


HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers


Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth


Hamilton-Jacobi scaling limits of Pareto peeling in 2D


Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time


Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control


Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling


Hamiltonian Extrema of an Arbitrary Flux-Biased Josephson Circuit


Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases


Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models


Hamiltonian Neural Networks with Automatic Symmetry Detection


Hamiltonian Reconstruction: the Correlation Matrix and Incomplete Operator Bases


Hamiltonian Switching Control of Noisy Bipartite Qubit Systems


Hamiltonian consistency of the gravitational constraint algebra under deformations


Hamiltonian cycles and 1-factors in 5-regular graphs


Hamiltonian fluid reduction of the 1.5D Vlasov-Maxwell equations


Hamiltonian latent operators for content and motion disentanglement in image sequences


Hamiltonian neural networks for solving equations of motion


Hamiltonian simulation with random inputs


Hamiltonian variational ansatz without barren plateaus


Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control


HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device Scenarios


Hand Image Understanding via Deep Multi-Task Learning


Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling


Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction


Hand-Object Interaction Controller (HOIC): Deep Reinforcement Learning for Reconstructing Interactions with Physics


HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions


HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation


HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud


HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton


HandGCAT: Occlusion-Robust 3D Hand Mesh Reconstruction from Monocular Images


HandReader: Advanced Techniques for Efficient Fingerspelling Recognition


Handbook for Quantifying Robustness of Magic


Handbook of Network Analysis [KONECT -- the Koblenz Network Collection]


Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images


Handel: Practical Multi-Signature Aggregation for Large Byzantine Committees


Handle Object Navigation as Weighted Traveling Repairman Problem


Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation


Handling Communication via APIs for Microservices


Handling Concept Drift in Global Time Series Forecasting


Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion


Handling Delay in Real-Time Reinforcement Learning


Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free Approach


Handling Distribution Shifts on Graphs: An Invariance Perspective


Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning


Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning


Handling Massive N-Gram Datasets Efficiently


Handling Missing Data with Graph Representation Learning


Handling Nonmonotone Missing Data with Available Complete-Case Missing Value Assumption


Handling Ontology Gaps in Semantic Parsing


Handling Sub-symmetry in Integer Programming using Activation Handlers


Handling Syntactic Divergence in Low-resource Machine Translation


Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach


Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso


Handling irresolvable conflicts in the Semantic Web: an RDF-based conflict-tolerant version of the Deontic Traditional Scheme


Handling of constraints in multiobjective blackbox optimization


Handling sign language transcription system with the computer-friendly numerical multilabels


Handling the Positive-Definite Constraint in the Bayesian Learning Rule


Handling time-dependent exposures and confounders when estimating attributable fractions -- bridging the gap between multistate and counterfactual modeling


Handover Probability in Drone Cellular Networks


Hands Deep in Deep Learning for Hand Pose Estimation


Handshakes AI Research at CASE 2021 Task 1: Exploring different approaches for multilingual tasks


Handwashing Action Detection System for an Autonomous Social Robot


Handwriting Classification for the Analysis of Art-Historical Documents


Handwritten Code Recognition for Pen-and-Paper CS Education


Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual Learning


Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer


Handwritten Stenography Recognition and the LION Dataset


Handwritten Text Generation from Visual Archetypes


HandyG -- rapid numerical evaluation of generalised polylogarithms in Fortran


HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands


Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-Worn Inertial Sensors


Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark


Haphazard Inputs as Images in Online Learning


Happily Error After: Framework Development and User Study for Correcting Robot Perception Errors in Virtual Reality


Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour


Happy: A Debiased Learning Framework for Continual Generalized Category Discovery


HappyFeat -- An interactive and efficient BCI framework for clinical applications


HapticBots: Distributed Encountered-type Haptics for VR with Multiple Shape-changing Mobile Robots


HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation


Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models


Hard Class Rectification for Domain Adaptation


Hard Label Black Box Node Injection Attack on Graph Neural Networks


Hard Latency-Constraints for High-Throughput Random Access: SICQTA


Hard Negative Contrastive Learning for Fine-Grained Geometric Understanding in Large Multimodal Models


Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient


Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery


Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL


Hard Region Aware Network for Remote Sensing Change Detection


Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation


Hard Sample Aware Network for Contrastive Deep Graph Clustering


Hard Sample Aware Noise Robust Learning for Histopathology Image Classification


Hard Sample Matters a Lot in Zero-Shot Quantization


Hard and Soft EM in Bayesian Network Learning from Incomplete Data