Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback


Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction


Hybrid Quantum Neural Network Advantage for Radar-Based Drone Detection and Classification in Low Signal-to-Noise Ratio


Hybrid Quantum Neural Networks with Variational Quantum Regressor for Enhancing QSPR Modeling of CO2-Capturing Amine


Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation


Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs


Hybrid Quantum-Classical Reinforcement Learning in Latent Observation Spaces


Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient


Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving


Hybrid Reinforcement Learning with Expert State Sequences


Hybrid Relation Guided Set Matching for Few-shot Action Recognition


Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI


Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities


Hybrid Residual Attention Network for Single Image Super Resolution


Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh


Hybrid Robotic Grasping with a Soft Multimodal Gripper and a Deep Multistage Learning Scheme


Hybrid Self-Attention NEAT: A novel evolutionary approach to improve the NEAT algorithm


Hybrid Semantic Recommender System for Chemical Compounds


Hybrid Spatial Representations for Species Distribution Modeling


Hybrid Spectral Denoising Transformer with Guided Attention


Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric Localization


Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models


Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data


Hybrid VMAT-3DCRT as Breast Treatment Improvement Tool


Hybrid Vector Auto Regression and Neural Network Model for Order Flow Imbalance Prediction in High Frequency Trading


Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems


Hybrid Voxel Formats for Efficient Ray Tracing


Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation


Hybrid X-Linker: Automated Data Generation and Extreme Multi-label Ranking for Biomedical Entity Linking


Hybrid additive modeling with partial dependence for supervised regression and dynamical systems forecasting


Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea


Hybrid and Collaborative Passage Reranking


Hybrid bundle-adjusting 3D Gaussians for view consistent rendering with pose optimization


Hybrid coarse-fine classification for head pose estimation


Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning


Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism


Hybrid parametric/smooth inversion of electrical resistivity tomography data


Hybrid phonetic-neural model for correction in speech recognition systems


Hybrid quadrature moment method for accurate and stable representation of non-Gaussian processes and their dynamics


Hybrid quantum gap estimation algorithm using a filtered time series


Hybrid quantum programming with PennyLane Lightning on HPC platforms


Hybrid quantum-classical and quantum-inspired classical algorithms for solving banded circulant linear systems


Hybrid quantum-classical approach for coupled-cluster Green's function theory


Hybrid quantum-classical computation for automatic guided vehicles scheduling


Hybrid real- and reciprocal-space full-field imaging with coherent illumination


Hybrid scheme for modeling local field potentials from point-neuron networks


Hybrid semi-Markov CRF for Neural Sequence Labeling


Hybrid spreading mechanisms and T cell activation shape the dynamics of HIV-1 infection


Hybrid summary statistics: neural weak lensing inference beyond the power spectrum


Hybrid system identification using switching density networks


Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification


Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response


Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification


Hybrid-Emba3D: Geometry-Aware and Cross-Path Feature Hybrid Enhanced State Space Model for Point Cloud Classification


Hybrid-Fusion Transformer for Multisequence MRI


Hybrid-Level Instruction Injection for Video Token Compression in Multi-modal Large Language Models


Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation


Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching


Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking


Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure


Hybrid-View Attention for csPCa Classification in TRUS


Hybrid-basis inference for large-scale galaxy clustering: combining spherical and Cartesian Fourier analyses


HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness


HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors


HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splatting


HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder


HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations


HybridHash: Hybrid Convolutional and Self-Attention Deep Hashing for Image Retrieval


HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation


HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization


HybridOctree_Hex: Hybrid Octree-Based Adaptive All-Hexahedral Mesh Generation with Jacobian Control


HybridPoint: Point Cloud Registration Based on Hybrid Point Sampling and Matching


HybridQ: A Hybrid Simulator for Quantum Circuits


HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks


HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions


HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification


HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking


Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems


Hybridized Summation-By-Parts Finite Difference Methods


Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization


Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems


Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training


Hydra: A System for Large Multi-Model Deep Learning


Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers


Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning


Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding


Hydra: a C++11 framework for data analysis in massively parallel platforms


Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification


HydraFormer: One Encoder For All Subsampling Rates


HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception


HydraNet: Momentum-Driven State Space Duality for Multi-Granularity Tennis Tournaments Analysis


HydraSum: Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models


HydraViT: Stacking Heads for a Scalable ViT


Hydragen: High-Throughput LLM Inference with Shared Prefixes


HydroChronos: Forecasting Decades of Surface Water Change


Hydrodynamic diffusion in apolar active suspensions


Hydrodynamic fluctuations in quasi-two dimensional diffusion


Hydrodynamic irreversibility of non-Brownian suspensions in highly confined duct flow


Hydrodynamics of Diffusion in Lipid Membrane Simulations


Hydrodynamics of Suspensions of Passive and Active Rigid Particles: A Rigid Multiblob Approach


Hydrogen under Pressure as a Benchmark for Machine-Learning Interatomic Potentials


Hydrograph peak-shaving using a graph-theoretic algorithm for placement of hydraulic control structures


Hydromagnetic waves in an expanding universe -- cosmological MHD code tests using analytic solutions


Hydrostatic Chandra X-ray analysis of SPT-selected galaxy clusters - I. Evolution of profiles and core properties


Hydroxyl Lines and Moonlight: a High Spectral Resolution Investigation of NIR skylines from Maunakea to guide NIR spectroscopic surveys


HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution


HyenaPixel: Global Image Context with Convolutions


Hyp-RL : Hyperparameter Optimization by Reinforcement Learning


Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation


HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses


HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion


HypR: A comprehensive study for ASR hypothesis revising with a reference corpus


Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation


HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs


HypeRS: Building a Hypergraph-driven ensemble Recommender System


Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty


Hyper Stealth Dark Matter and Long-Lived Particles


Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph


Hyper-CL: Conditioning Sentence Representations with Hypernetworks


Hyper-Compression: Model Compression via Hyperfunction


Hyper-Fit: Fitting Linear Models to Multidimensional Data with Multivariate Gaussian Uncertainties


Hyper-Graph-Network Decoders for Block Codes


Hyper-Parameter Tuning for the (1+(λ,λ)) GA


Hyper-Path-Based Representation Learning for Hyper-Networks


Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights


Hyper-SAGNN: a self-attention based graph neural network for hypergraphs


Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer


Hyper-optimization with Gaussian Process and Differential Evolution Algorithm


Hyper-parameter Tuning for Adversarially Robust Models


Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems


Hyper-pool: pooling private trips into high-occupancy transit-like attractive shared rides


HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale


HyperAggregation: Aggregating over Graph Edges with Hypernetworks


HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering


HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs


HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks


HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering


HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction


HyperColorization: Propagating spatially sparse noisy spectral clues for reconstructing hyperspectral images


HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules


HyperCube: Implicit Field Representations of Voxelized 3D Models


HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding


HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion


HyperDog: An Open-Source Quadruped Robot Platform Based on ROS2 and micro-ROS


HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum


HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks


HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering


HyperENTM: Evolving Scalable Neural Turing Machines through HyperNEAT


HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks


HyperEnclave: An Open and Cross-platform Trusted Execution Environment


HyperFast: Instant Classification for Tabular Data


HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion


HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling


HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges


HyperGal: hyperspectral scene modeling for supernova typing with the Integral Field Spectrograph SEDmachine


HyperGraph ROS: An Open-Source Robot Operating System for Hybrid Parallel Computing based on Computational HyperGraph


HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation


HyperHyperNetworks for the Design of Antenna Arrays


HyperINF: Unleashing the HyperPower of the Schulz's Method for Data Influence Estimation


HyperImpute: Generalized Iterative Imputation with Automatic Model Selection


HyperInverter: Improving StyleGAN Inversion via Hypernetwork


HyperJump: Accelerating HyperBand via Risk Modelling


HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter


HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models


HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face Generation


HyperLogLogLog: Cardinality Estimation With One Log More


HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation


HyperMARL: Adaptive Hypernetworks for Multi-Agent RL


HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning


HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding


HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts


HyperMotion: DiT-Based Pose-Guided Human Image Animation of Complex Motions


HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search


HyperNOs: Automated and Parallel Library for Neural Operators Research


HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN


HyperPIE: Hyperparameter Information Extraction from Scientific Publications


HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis


HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation


HyperPocket: Generative Point Cloud Completion


HyperPointFormer: Multimodal Fusion in 3D Space with Dual-Branch Cross-Attention Transformers


HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration


HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling


HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces


HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts


HyperS2V: A Framework for Structural Representation of Nodes in Hyper Networks


HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering


HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model


HyperSLICE: HyperBand optimized Spiral for Low-latency Interactive Cardiac Examination


HyperSORT: Self-Organising Robust Training with hyper-networks


HyperSPNs: Compact and Expressive Probabilistic Circuits


HyperSec: Visual Analytics for blockchain security monitoring


HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation


HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization


HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees


HyperStream: a Workflow Engine for Streaming Data


HyperTTS: Parameter Efficient Adaptation in Text to Speech using Hypernetworks


HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets


HyperTrack: Neural Combinatorics for High Energy Physics


HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening


HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning


HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services


HyperZ$\cdot$Z$\cdot$W Operator Connects Slow-Fast Networks for Full Context Interaction


Hyperbolic Active Learning for Semantic Segmentation under Domain Shift


Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance


Hyperbolic Busemann Learning with Ideal Prototypes


Hyperbolic Contrastive Learning for Visual Representations beyond Objects


Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation


Hyperbolic Convolution via Kernel Point Aggregation


Hyperbolic Deep Neural Networks: A Survey


Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning


Hyperbolic Discounting and Learning over Multiple Horizons


Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction


Hyperbolic Disk Embeddings for Directed Acyclic Graphs


Hyperbolic Fine-tuning for Large Language Models


Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification


Hyperbolic Geometric Latent Diffusion Model for Graph Generation


Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference


Hyperbolic Hypergraphs for Sequential Recommendation


Hyperbolic Interaction Model For Hierarchical Multi-Label Classification


Hyperbolic Relevance Matching for Neural Keyphrase Extraction


Hyperbolic Safety-Aware Vision-Language Models


Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection


Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections


Hyperbolic VAE via Latent Gaussian Distributions


Hyperbolic Vision Transformers: Combining Improvements in Metric Learning


Hyperbolic embedding of multilayer networks


Hyperbolic normal stochastic volatility model


Hyperbolic recurrent neural network as the first type of non-Euclidean neural quantum state ansatz


Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations


HyperbolicLR: Epoch insensitive learning rate scheduler


Hyperboloidal neutron star and black hole initial data in spherical symmetry


Hyperchaos and complex dynamical regimes in $N$-dimensional neuron lattices


Hypercomplex-Valued Recurrent Correlation Neural Networks


Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications


Hypercorrelation Squeeze for Few-Shot Segmentation


Hypercube Policy Regularization Framework for Offline Reinforcement Learning


Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-Answering


Hypercubes of AGN Tori (HYPERCAT) -- I. Models and Image Morphology


Hyperdecoders: Instance-specific decoders for multi-task NLP


Hyperdimensional Computing Provides a Programming Paradigm for Oscillatory Systems


Hyperdimensional Feature Fusion for Out-Of-Distribution Detection


Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation


Hyperedge Anomaly Detection with Hypergraph Neural Network


Hyperedge Overlap drives Synchronizability of Systems with Higher-Order interactions


Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics


Hyperelliptic Curves and Newform Coefficients


Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation


Hypergraph $p$-Laplacians and Scale Spaces


Hypergraph Clustering for Finding Diverse and Experienced Groups


Hypergraph Co-Optimal Transport: Metric and Categorical Properties


Hypergraph Contrastive Collaborative Filtering


Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs


Hypergraph Cuts with Edge-Dependent Vertex Weights


Hypergraph Ego-networks and Their Temporal Evolution


Hypergraph Link Prediction via Hyperedge Copying


Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel $k$-means, and Heat Kernel


Hypergraph Motifs: Concepts, Algorithms, and Discoveries


Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding


Hypergraph Self-supervised Learning with Sampling-efficient Signals


Hypergraph Transformer for Semi-Supervised Classification


Hypergraph Transformer for Skeleton-based Action Recognition


Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering


Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities


Hypergraph assortativity: a dynamical systems perspective


Hypergraph based Understanding for Document Semantic Entity Recognition


Hypergraph patterns and collaboration structure


Hypergraph reconstruction from noisy pairwise observations


Hypergraph-MLP: Learning on Hypergraphs without Message Passing


Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian


Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering


Hypergraphx: a library for higher-order network analysis


Hyperion - A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM


Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic Execution


HyperionSolarNet: Solar Panel Detection from Aerial Images


Hyperledger Fabric Blockchain and ROS 2 Integration for Autonomous Mobile Robots


Hyperlink communities in higher-order networks


Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering


Hypermap Mapping Framework and its Application to Autonomous Semantic Exploration


Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels


Hypernetwork approach to generating point clouds


Hypernetwork-Based Adaptive Image Restoration


Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging


Hypernetworks build Implicit Neural Representations of Sounds


Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection


Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet Hierarchy


Hyperparameter Importance Analysis for Multi-Objective AutoML


Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds


Hyperparameter Optimization for Atomic Cluster Expansion Potentials


Hyperparameter Optimization for Effort Estimation


Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution


Hyperparameter Transfer Across Developer Adjustments


Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting


Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation


Hyperparameter Tuning in Echo State Networks


Hyperparameter Tuning is All You Need for LISTA


Hyperparameter optimization in deep multi-target prediction


Hyperparameter optimization with approximate gradient


Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding


Hyperparameter-Free Losses for Model-Based Monocular Reconstruction


Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation


Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity


Hyperparameter-free and Explainable Whole Graph Embedding


Hyperparameters in Contextual RL are Highly Situational


Hyperparameters in Score-Based Membership Inference Attacks


Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features


Hyperplane bounds for neural feature mappings


Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings


Hyperrealistic Image Inpainting with Hypergraphs


Hyperseed: Unsupervised Learning with Vector Symbolic Architectures


Hypersolvers: Toward Fast Continuous-Depth Models


Hyperspectral Anomaly Change Detection Based on Auto-encoder


Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks


Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining


Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning


Hyperspectral Dataset and Deep Learning methods for Waste from Electric and Electronic Equipment Identification (WEEE)


Hyperspectral Image Classification With Contrastive Graph Convolutional Network


Hyperspectral Image Classification in the Presence of Noisy Labels


Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating


Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network


Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects


Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics


Hyperspectral Image Dataset for Benchmarking on Salient Object Detection


Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations


Hyperspectral Image Denoising via Self-Modulating Convolutional Neural Networks


Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer


Hyperspectral Image Land Cover Captioning Dataset for Vision Language Models


Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues


Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB)


Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance


Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation


Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning


Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion


Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation Models


Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction


Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector


Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline


Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation


Hyperspectral Super-Resolution with Coupled Tucker Approximation: Recoverability and SVD-based algorithms


Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model


Hyperspectral imaging of excitons within a moiré unit-cell with a sub-nanometer electron probe


Hyperspherical Classification with Dynamic Label-to-Prototype Assignment


Hyperspherical Embedding for Point Cloud Completion


Hypersurfaces passing through the Galois orbit of a point


Hypertemporal Imaging of NYC Grid Dynamics


Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals


Hyperuniform organization in human settlements


Hyperuniformity on Mars: Pebbles scattered on sand


Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space


HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation


HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge


HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks


HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs


Hypothesis Engineering for Zero-Shot Hate Speech Detection


Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries


Hypothesis Only Baselines in Natural Language Inference


Hypothesis Search: Inductive Reasoning with Language Models


Hypothesis Testing the Circuit Hypothesis in LLMs


Hypothesis testing for Markov chain Monte Carlo


Hypothesis testing for medical imaging analysis via the smooth Euler characteristic transform


Hypothesis testing on invariant subspaces of non-symmetric matrices with applications to network statistics


Hypothesis tests for multiple responses regression: effect of probiotics on addiction and binge eating disorder


Hypothesis tests for structured rank correlation matrices


Hypothesis-free discovery from epidemiological data by automatic detection and local inference for tree-based nonlinearities and interactions


Hypothesizing Missing Causal Variables with LLMs


Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models


Hypothetical Treatment Accelerations: Estimating Causal Effects of Kidney Transplants from Observational Data


Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud


Hysteresis and jumps in the I-V curves of disordered two-dimensional materials


Hysteretic magnetoresistance in nanowire devices due to stray fields induced by micromagnets


Hölder stability of quantitative photoacoustic tomography based on partial data


I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively


I Beg to Differ: A study of constructive disagreement in online conversations


I Bet You Did Not Mean That: Testing Semantic Importance via Betting


I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision


I Could've Asked That: Reformulating Unanswerable Questions


I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token


I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting


I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders


I Hear Your True Colors: Image Guided Audio Generation


I Know How: Combining Prior Policies to Solve New Tasks


I Know What You Are Searching For: Code Snippet Recommendation from Stack Overflow Posts


I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning


I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses


I Learn to Diffuse, or Data Alchemy 101: a Mnemonic Manifesto


I M Avatar: Implicit Morphable Head Avatars from Videos


I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation


I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives


I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data


I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames


I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors


I Stand With You: Using Emojis to Study Solidarity in Crisis Events


I Still See You: Why Existing IoT Traffic Reshaping Fails


I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench


I Want My App That Way: Reclaiming Sovereignty Over Personal Devices


I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social Hierarchy


I Was Blind but Now I See: Implementing Vision-Enabled Dialogue in Social Robots


I Will Have Order! Optimizing Orders for Fair Reviewer Assignment


I am a Strange Dataset: Metalinguistic Tests for Language Models


I can listen but cannot read: An evaluation of two-tower multimodal systems for instrument recognition


I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset


I see what you mean: Co-Speech Gestures for Reference Resolution in Multimodal Dialogue


I see you: A Vehicle-Pedestrian Interaction Dataset from Traffic Surveillance Cameras


I still have Time(s): Extending HeidelTime for German Texts


I still know it's you! On Challenges in Anonymizing Source Code


I will be there for you: six friends in a clique


I$\heartsuit$LA: Compilable Markdown for Linear Algebra


I$^2$S-TFCKD: Intra-Inter Set Knowledge Distillation with Time-Frequency Calibration for Speech Enhancement


I$^2$SB: Image-to-Image Schrödinger Bridge


I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization


I'll be back: Examining Restored Accounts On Twitter


I'll believe it when I see it: Images increase misinformation sharing in Vision-Language Models


I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Models


I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs


I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses


I-AID: Identifying Actionable Information from Disaster-related Tweets


I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths


I-CEE: Tailoring Explanations of Image Classification Models to User Expertise


I-Keyboard: Fully Imaginary Keyboard on Touch Devices Empowered by Deep Neural Decoder


I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree Search


I-MedSAM: Implicit Medical Image Segmentation with Segment Anything


I-Nema: A Biological Image Dataset for Nematode Recognition


I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm


I-SPLIT: Deep Network Interpretability for Split Computing


I-SplitEE: Image classification in Split Computing DNNs with Early Exits


I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference


I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers


I0T: Embedding Standardization Method Towards Zero Modality Gap


I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing


I2EKF-LO: A Dual-Iteration Extended Kalman Filter Based LiDAR Odometry


I2I-Galip: Unsupervised Medical Image Translation Using Generative Adversarial CLIP


I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling


I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image


I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information Extraction


I2V-Adapter: A General Image-to-Video Adapter for Diffusion Models


I2V-GAN: Unpaired Infrared-to-Visible Video Translation


I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection


IA-FaceS: A Bidirectional Method for Semantic Face Editing


IA-GCN: Interactive Graph Convolutional Network for Recommendation


IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities


IAEmu: Learning Galaxy Intrinsic Alignment Correlations


IAFormer: Interaction-Aware Transformer network for collider data analysis


IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection


IALE: Imitating Active Learner Ensembles


IAM at CLEF eHealth 2018: Concept Annotation and Coding in French Death Certificates


IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks


IAN: Iterated Adaptive Neighborhoods for manifold learning and dimensionality estimation


IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting


IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems


IATos: AI-powered pre-screening tool for COVID-19 from cough audio samples


IAdet: Simplest human-in-the-loop object detection


IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness


IB2d Reloaded: a more powerful Python and MATLAB implementation of the immersed boundary method


IBB: Fast Burrows-Wheeler Transform Construction for Length-Diverse DNA Data


IBBE-SGX: Cryptographic Group Access Control using Trusted Execution Environments


IBISCape: A Simulated Benchmark for multi-modal SLAM Systems Evaluation in Large-scale Dynamic Environments


IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields


IBM Federated Learning: an Enterprise Framework White Paper V0.1


IBM Q Experience as a versatile experimental testbed for simulating open quantum systems


IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment


IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology


IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound


IBSEN: Director-Actor Agent Collaboration for Controllable and Interactive Drama Script Generation


IBVC: Interpolation-driven B-frame Video Compression


IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal


IC3: Image Captioning by Committee Consensus


ICA-based Resting-State Networks Obtained on Large Autism fMRI Dataset ABIDE


ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection


ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations


ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation


ICCheck: A Portable, Language-Agnostic Tool for Synchronizing Code Clones


ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network


ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents


ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records


ICDAR 2021 Competition on Historical Map Segmentation


ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment


ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)


ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization


ICE-GAN: Identity-aware and Capsule-Enhanced GAN with Graph-based Reasoning for Micro-Expression Recognition and Synthesis


ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations


ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks


ICECAP: Information Concentrated Entity-aware Image Captioning


ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments


ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction


ICGAN: An implicit conditioning method for interpretable feature control of neural audio synthesis


ICGNet: A Unified Approach for Instance-Centric Grasping


ICICLE: Interpretable Class Incremental Continual Learning


ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction


ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer


ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results


ICLR Reproducibility Challenge Report (Padam : Closing The Generalization Gap Of Adaptive Gradient Methods in Training Deep Neural Networks)


ICLabel: An automated electroencephalographic independent component classifier, dataset, and website


ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation


ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing


ICON: Implicit Clothed humans Obtained from Normals


ICP-Flow: LiDAR Scene Flow Estimation with ICP


ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification


ICPR 2024 Competition on Multilingual Claim-Span Identification


ICS for complex data with application to outlier detection for density data


ICSML: Industrial Control Systems ML Framework for native inference using IEC 61131-3 code


ICSPatch: Automated Vulnerability Localization and Non-Intrusive Hotpatching in Industrial Control Systems using Data Dependence Graphs


ICTSurF: Implicit Continuous-Time Survival Functions with Neural Networks


ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis


ICU-Sepsis: A Benchmark MDP Built from Real Medical Data


ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language Understanding


ICVul: A Well-labeled C/C++ Vulnerability Dataset with Comprehensive Metadata and VCCs


ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification


ICanC: Improving Camera-based Object Detection and Energy Consumption in Low-Illumination Environments


ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space


ID-Animator: Zero-Shot Identity-Preserving Human Video Generation


ID-Reveal: Identity-aware DeepFake Video Detection


ID-Unet: Iterative Soft and Hard Deformation for View Synthesis


ID-based self-encryption via Hyperledger Fabric based smart contract


ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection


ID.8: Co-Creating Visual Stories with Generative AI


IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis


IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model


IDA: Improved Data Augmentation Applied to Salient Object Detection


IDANI: Inference-time Domain Adaptation via Neuron-level Interventions


IDAS: Intent Discovery with Abstractive Summarization


IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents


IDCIA: Immunocytochemistry Dataset for Cellular Image Analysis


IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic


IDEA-Bench: How Far are Generative Models from Professional Designing?


IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment


IDEA: Image Description Enhanced CLIP-Adapter


IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training


IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation


IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization


IDEAL: Query-Efficient Data-Free Learning from Black-box Models


IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection


IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images


IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients


IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation


IDGenRec: LLM-RecSys Alignment with Textual ID Learning


IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension


IDMoB: IoT Data Marketplace on Blockchain


IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events


IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning


IDOL: Inertial Deep Orientation-Estimation and Localization


IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation


IDP-Bert: Predicting Properties of Intrinsically Disordered Proteins (IDP) Using Large Language Models


IDPL-PFOD2: A New Large-Scale Dataset for Printed Farsi Optical Character Recognition


IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation


IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies


IDR: Self-Supervised Image Denoising via Iterative Data Refinement


IDRLnet: A Physics-Informed Neural Network Library


IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics


IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors


IEEE BigData 2023 Keystroke Verification Challenge (KVC)


IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions


IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus


IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration


IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses


IFCNet: A Benchmark Dataset for IFC Entity Classification


IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning


IFH: a Diffusion Framework for Flexible Design of Graph Generative Models


IFISS3D: A computational laboratory for investigating finite element approximation in three dimensions


IFQA: Interpretable Face Quality Assessment


IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation


IFSeg: Image-free Semantic Segmentation via Vision-Language Model


IFShip: Interpretable Fine-grained Ship Classification with Domain Knowledge-Enhanced Vision-Language Models


IFTD: Image Feature Triangle Descriptor for Loop Detection in Driving Scenes


IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception


IFedAvg: Interpretable Data-Interoperability for Federated Learning


IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments


IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-Resolution


IG-FIQA: Improving Face Image Quality Assessment through Intra-class Variance Guidance robust to Inaccurate Pseudo-Labels


IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution


IGA : An Intent-Guided Authoring Assistant


IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight


IGCN: Integrative Graph Convolution Networks for patient level insights and biomarker discovery in multi-omics integration


IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation


IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving


IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching


IGG: Image Generation Informed by Geodesic Dynamics in Deformation Spaces


IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning


IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents


IGLU: Efficient GCN Training via Lazy Updates


IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages


IGM-Vis: Analyzing Intergalactic and Circumgalactic Medium Absorption Using Quasar Sightlines in a Cosmic Web Context


IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records


IGSM: Improved Geometric and Sensitivity Matching for Finetuning Pruned Diffusion Models


IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR images


IGraph/M: graph theory and network analysis for Mathematica


IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control


IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures


IHCV: Discovery of Hidden Time-Dependent Control Variables in Non-Linear Dynamical Systems


IHEval: Evaluating Language Models on Following the Instruction Hierarchy


IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search


IHOP: Improved Statistical Query Recovery against Searchable Symmetric Encryption through Quadratic Optimization


II-20: Intelligent and pragmatic analytic categorization of image collections


II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering


II-NVM: Enhancing Map Accuracy and Consistency with Normal Vector-Assisted Mapping


IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation


IICNet: A Generic Framework for Reversible Image Conversion


IIFE: Interaction Information Based Automated Feature Engineering


IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors


IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations


IIITD-20K: Dense captioning for Text-Image ReID


IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languages


IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers


IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner


IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English


IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation


IITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection


IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection


IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes


IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials


IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes


IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection


IITP@COLIEE 2019: Legal Information Retrieval using BM25 and BERT


IIU: Independent Inference Units for Knowledge-based Visual Question Answering


IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos


IKEA Object State Dataset: A 6DoF object pose estimation dataset and benchmark for multi-state assembly objects


IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation


IKT-BT: Indirect Knowledge Transfer Behavior Tree Framework for Multi-Robot Systems Through Communication Eavesdropping


ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation


ILDAE: Instance-Level Difficulty Analysis of Evaluation Data


ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation


ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks


ILLUME: Rationalizing Vision-Language Models through Human Interactions


ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler


ILMART: Interpretable Ranking with Constrained LambdaMART


ILNet: Low-level Matters for Salient Infrared Small Target Detection


ILP-M Conv: Optimize Convolution Algorithm for Single-Image Convolution Neural Network Inference on Mobile GPUs


ILS-SUMM: Iterated Local Search for Unsupervised Video Summarization


ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation


ILVES: Accurate and efficient bond length and angle constraints in molecular dynamics


ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models


IM-Context: In-Context Learning for Imbalanced Regression Tasks


IM-LUT: Interpolation Mixing Look-Up Tables for Image Super-Resolution


IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations


IMAD: IMage-Augmented multi-modal Dialogue


IMAGDressing-v1: Customizable Virtual Dressing


IMAGGarment-1: Fine-Grained Garment Generation for Controllable Fashion Design


IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images


IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities


IMAS: A Comprehensive Agentic Approach to Rural Healthcare Delivery


IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks


IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation


IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification


IMDB-WIKI-SbS: An Evaluation Dataset for Crowdsourced Pairwise Comparisons


IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization


IMDb data from Two Generations, from 1979 to 2019; Part one, Dataset Introduction and Preliminary Analysis


IMELL Cut Elimination with Linear Overhead


IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning


IMEXLBM 1.0: A Proxy Application based on the Lattice Boltzmann Method for solving Computational Fluid Dynamic problems on GPUs


IMEXnet: A Forward Stable Deep Neural Network


IMF: Interactive Multimodal Fusion Model for Link Prediction


IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration


IMHO Fine-Tuning Improves Claim Detection


IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training


IMITATE: Image Registration with Context for unknown time frame recovery


IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI


IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer


IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification


IMNet: Interference-Aware Channel Knowledge Map Construction and Localization


IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models


IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL


IMP: Iterative Matching and Pose Estimation with Adaptive Pooling


IMPACT: A Generic Semantic Loss for Multimodal Medical Image Registration


IMPACT: A Toolchain for Nonlinear Model Predictive Control Specification, Prototyping, and Deployment


IMPACT: Industrial Machine Perception via Acoustic Cognitive Transformer


IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data


IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI


IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models


IMPaCT: Interval MDP Parallel Construction for Controller Synthesis of Large-Scale Stochastic Systems


IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification


IMPersona: Evaluating Individual Level LM Impersonation


IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval


IMRSim: A Disk Simulator for Interlaced Magnetic Recording Technology


IMSRG-Net: A machine learning-based solver for In-Medium Similarity Renormalization Group


IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems


IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction


IMU-Assisted Learning of Single-View Rolling Shutter Correction


IMU-based Online Multi-lidar Calibration


IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text


IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and Earbuds


IMoJIE: Iterative Memory-Based Joint Open Information Extraction


IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions


IN2LAAMA: INertial Lidar Localisation Autocalibration And MApping


INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue System


INAQS, a generic interface for non-adiabatic QM/MM dynamics: Design, implementation, and validation for GROMACS/Q-CHEM simulations


INC: A Scalable Incremental Weighted Sampler


INCEPTNET: Precise And Early Disease Detection Application For Medical Images Analyses


INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings


INDEXITY: a web-based collaborative tool for medical video annotation


INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness


INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language Model


INFACT: An Online Human Evaluation Framework for Conversational Recommendation


INFERNO: Inference-Aware Neural Optimisation


INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks


INFODENS: An Open-source Framework for Learning Text Representations


INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions


INFaaS: A Model-less and Managed Inference Serving System


ING-VP: MLLMs cannot Play Easy Vision-based Games Yet


INGB: Informed Nonlinear Granular Ball Oversampling Framework for Noisy Imbalanced Classification


INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models


INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation


INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering


INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction


INN: Inflated Neural Networks for IPMN Diagnosis


INO at Factify 2: Structure Coherence based Multi-Modal Fact Verification


INQUIRE: A Natural World Text-to-Image Retrieval Benchmark


INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing


INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators


INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions


INSET: Sentence Infilling with INter-SEntential Transformer


INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs


INSPECT: Intrinsic and Systematic Probing Evaluation for Code Transformers


INSPIRE: Intensity and spatial information-based deformable image registration


INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation


INSPIRED: Toward Sociable Recommendation Dialog Systems


INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models


INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models


INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback


INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples


INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers


INT-FlashAttention: Enabling Flash Attention for INT8 Quantization


INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation


INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving


INT: Towards Infinite-frames 3D Detection with An Efficient Framework


INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies


INTERLEAVE: A Faster Symbolic Algorithm for Maximal End Component Decomposition


INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning


INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition


INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing


INTERSPEECH 2022 Audio Deep Packet Loss Concealment Challenge


INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair


INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer


IOHunter: Graph Foundation Model to Uncover Online Information Operations


IOLBENCH: Benchmarking LLMs on Linguistic Reasoning


IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization


IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation


IOP4, the Interactive Optical Photo-Polarimetric Python Pipeline


IOS: Inter-Operator Scheduler for CNN Acceleration


IOT: Instance-wise Layer Reordering for Transformer Structures


IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports


IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting


IPA-CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Modeling


IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields


IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency


IPAD: Inverse Prompt for AI Detection -- A Robust and Explainable LLM-Generated Text Detector


IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition


IPC: Incremental Probabilistic Consensus-based Consistent Set Maximization for SLAM Backends


IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation


IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression


IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation


IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts


IPEval: A Bilingual Intellectual Property Agency Consultation Evaluation Benchmark for Large Language Models


IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs


IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers


IPO: Interpretable Prompt Optimization for Vision-Language Models


IPO: Your Language Model is Secretly a Preference Classifier


IPRE: a Dataset for Inter-Personal Relationship Extraction


IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation


IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D Reconstruction


IPv6 over Bluetooth Advertisements: An alternative approach to IP over BLE


IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas


IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models


IQA: Visual Question Answering in Interactive Environments


IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain


IQUAFLOW: A new framework to measure image quality


IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles


IR-GAN: Room Impulse Response Generator for Far-field Speech Recognition


IR-LPR: Large Scale of Iranian License Plate Recognition Dataset


IR-MCL: Implicit Representation-Based Online Global Localization


IR-STP: Enhancing Autonomous Driving with Interaction Reasoning in Spatio-Temporal Planning


IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity


IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks


IR2Vec: LLVM IR based Scalable Program Embeddings


IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks


IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models


IRCNN$^{+}$: An Enhanced Iterative Residual Convolutional Neural Network for Non-stationary Signal Decomposition


IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion


IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators


IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer


IRFL: Image Recognition of Figurative Language


IRFusionFormer: Enhancing Pavement Crack Segmentation with RGB-T Fusion and Topological-Based Loss


IRGen: Generative Modeling for Image Retrieval


IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors


IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery


IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities


IRIS: a Record and Replay Framework to Enable Hardware-assisted Virtualization Fuzzing


IRKA is a Riemannian Gradient Descent Method


IRL for Restless Multi-Armed Bandits with Applications in Maternal and Child Health


IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation


IRLCov19: A Large COVID-19 Multilingual Twitter Dataset of Indian Regional Languages


IRNet: Iterative Refinement Network for Noisy Partial Label Learning


IRPF90: a programming environment for high performance computing


IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection


IRS-Aided SWIPT: Joint Waveform, Active and Passive Beamforming Design Under Nonlinear Harvester Model


IRS: Incremental Relationship-guided Segmentation for Digital Pathology


IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection


IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation Scenarios


IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model


IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory


IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale


IRanker: Towards Ranking Foundation Model


IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D Scenes


IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling


IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance


IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection


ISAAC Newton: Input-based Approximate Curvature for Newton's Method


ISAC with Backscattering RFID Tags: Joint Beamforming Design


ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution


ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling


ISD: Self-Supervised Learning by Iterative Similarity Distillation


ISDA: Position-Aware Instance Segmentation with Deformable Attention


ISDE : Independence Structure Density Estimation


ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems


ISETHDR: A Physics-based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes


ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation


ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling


ISINet: An Instance-Based Approach for Surgical Instrument Segmentation


ISImed: A Framework for Self-Supervised Learning using Intrinsic Spatial Information in Medical Images


ISL: A novel approach for deep exploration


ISLAND: Interpolating Land Surface Temperature using land cover


ISLE: A Framework for Image Level Semantic Segmentation Ensemble


ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging


ISLTranslate: Dataset for Translating Indian Sign Language


ISMGCC: Finding Gas Structures in Molecular Interstellar Medium Using Gaussian Decomposition and Graph Theory


ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior


ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents


ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns


ISPA: Inter-Species Phonetic Alphabet for Transcribing Animal Sounds


ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency


ISPY: Automatic Issue-Solution Pair Extraction from Community Live Chats


ISQA: Informative Factuality Feedback for Scientific Summarization


ISS-Scenario: Scenario-based Testing in CARLA


ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization


IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation


ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding


ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing


ISTR: End-to-End Instance Segmentation with Transformers


IStego100K: Large-scale Image Steganalysis Dataset


IT3D: Improved Text-to-3D Generation with Explicit View Synthesis


ITA-ELECTION-2022: A multi-platform dataset of social media conversations around the 2022 Italian general election


ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements


ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction


ITE: A Lightweight Implementation of Stratified Reasoning for Constructive Logical Operators


ITENE: Intrinsic Transfer Entropy Neural Estimator


ITI-GEN: Inclusive Text-to-Image Generation


ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning


ITM-Rec: An Open Data Set for Educational Recommender Systems


ITO-Master: Inference-Time Optimization for Audio Effects Modeling of Music Mastering Processors


ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection


ITSO: A novel Inverse Transform Sampling-based Optimization algorithm for stochastic search


ITVOLT: An Iterative Solver for the Time-Dependent Schrödinger Equation


ITeM: Independent Temporal Motifs to Summarize and Compare Temporal Networks


IUST_PersonReId: A New Domain in Person Re-Identification Datasets


IUTEAM1 at MEDIQA-Chat 2023: Is simple fine tuning effective for multilayer summarization of clinical conversations?


IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs


IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis


IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks


IVAC-P2L: Leveraging Irregular Repetition Priors for Improving Video Action Counting


IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction


IVUS-Net: An Intravascular Ultrasound Segmentation Network


IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases


I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation


I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval


Icarus 3.0: Dynamic Heliosphere Modelling


Ice Core Dating using Probabilistic Programming


Ice viscosity governs hydraulic fracture that causes rapid drainage of supraglacial lakes


Ice-Tide: Implicit Cryo-ET Imaging and Deformation Estimation


IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI


IceCoder: Identification of Ice phases in molecular simulation using variational autoencoder


IceCube -- Neutrinos in Deep Ice The Top 3 Solutions from the Public Kaggle Competition


IceCube experience using XRootD-based Origins with GPU workflows in PNRP


IceNet for Interactive Contrast Enhancement


Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery


Ichnos: A Carbon Footprint Estimator for Scientific Workflows


Icicle: A Re-Designed Emulator for Grey-Box Firmware Fuzzing


IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning


Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text


Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy


IdBench: Evaluating Semantic Representations of Identifier Names in Source Code


Idea engines: Unifying innovation and obsolescence from markets and genetic evolution to science


Idea23D: Collaborative LMM Agents Enable 3D Model Generation from Interleaved Multimodal Inputs


Ideal classes of orders in quaternion algebras


Idempotence and Perceptual Image Compression


IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation


IdentiFace : A VGG Based Multimodal Facial Biometric System


Identical Image Retrieval using Deep Learning


Identifiability Guarantees for Causal Disentanglement from Purely Observational Data


Identifiability Guarantees for Causal Disentanglement from Soft Interventions


Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank


Identifiability Results for Multimodal Contrastive Learning


Identifiability and Consistent Estimation for Gaussian Chain Graph Models


Identifiability and Generalizability in Constrained Inverse Reinforcement Learning


Identifiability and Maximum Likelihood Estimation for System Identification of Networks of Dynamical Systems


Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning


Identifiability for mixtures of centered Gaussians and sums of powers of quadratics


Identifiability in Functional Connectivity May Unintentionally Inflate Prediction Results


Identifiability in Phylogenetics using Algebraic Matroids


Identifiability in epidemic models with prior immunity and under-reporting


Identifiability of AMP chain graph models


Identifiability of Differential-Algebraic Systems


Identifiability of SDEs for reaction networks


Identifiability of causal graphs under nonadditive conditionally parametric causal models


Identifiability of overcomplete independent component analysis


Identifiable Deep Generative Models via Sparse Decoding


Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects


Identifiable Generative Models for Missing Not at Random Data Imputation


Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention


Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures


Identifiable causal inference with noisy treatment and no side information


Identifiable specializations for ODE models


Identification and Assessment of Software Design Pattern Violations


Identification and Characterization of a Large Sample of Distant Active Dwarf Galaxies in XMM-SERVS


Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models


Identification and Estimation of Categorical Random Coefficient Models


Identification and Uses of Deep Learning Backbones via Pattern Mining


Identification and analysis of galactic bars in DESI Legacy Imaging Surveys


Identification and multiply robust estimation in causal mediation analysis across principal strata


Identification in a Binary Choice Panel Data Model with a Predetermined Covariate


Identification of 4FGL uncertain sources at Higher Resolutions with Inverse Discrete Wavelet Transform


Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees


Identification of Chimera using Machine Learning


Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning


Identification of Distorted RF Components via Deep Multi-Task Learning


Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking


Identification of Failure Regions for Programs with Numeric Inputs


Identification of Low Surface Brightness Tidal Features in Galaxies Using Convolutional Neural Networks


Identification of Power System Oscillation Modes using Blind Source Separation based on Copula Statistic


Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learning


Identification of Rhetorical Roles of Sentences in Indian Legal Judgments


Identification of Stellar Flares Using Differential Evolution Template Optimization


Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data


Identification of Stone Deterioration Patterns with Large Multimodal Models


Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study


Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach


Identification of a new spectral signature at 3 $μ$m over Martian northern high latitudes: implications for surface composition


Identification of changes in gene expression


Identification of complier and noncomplier average causal effects in the presence of latent missing-at-random (LMAR) outcomes: a unifying view and choices of assumptions


Identification of distributions for risks based on the first moment and c-statistic


Identification of galaxy shreds in large photometric catalogs using Convolutional Neural Networks


Identification of graphite with perfect rhombohedral stacking by electronic Raman scattering


Identification of head impact locations, speeds, and force based on head kinematics


Identification of inertial modes in the solar convection zone


Identification of linear time-invariant systems with Dynamic Mode Decomposition


Identification of problematic epochs in astronomical time series through transfer learning


Identification of quantum entanglement with Siamese convolutional neural networks and semi-supervised learning


Identification of stormwater control strategies and their associated uncertainties using Bayesian Optimization


Identification of the Relevance of Comments in Codes Using Bag of Words and Transformer Based Models


Identify Backdoored Model in Federated Learning via Individual Unlearning


Identify Light-Curve Signals with Deep Learning Based Object Detection Algorithm. I. Transit Detection


Identify Speakers in Cocktail Parties with End-to-End Attention


Identify Then Recommend: Towards Unsupervised Group Recommendation


Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks


IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMs


Identifying 3D Genome Organization in Diploid Organisms via Euclidean Distance Geometry


Identifying Adversarially Attackable and Robust Samples


Identifying Ambiguous Similarity Conditions via Semantic Matching


Identifying Bias in Deep Neural Networks Using Image Transforms


Identifying Breakdowns in Conversational Recommender Systems using User Simulation


Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past


Identifying Causal Structure in Dynamical Systems


Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models


Identifying Causally-Robust Mediators of Health Disparities: A Review and Simulation Studies With Directed Acyclic Graphs


Identifying Chern numbers of superconductors from local measurements


Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations


Identifying Clusters on a Discrete Periodic Lattice via Machine Learning


Identifying Cluttering Edges in Near-Planar Graphs


Identifying Conspiracy Theories News based on Event Relation Graph


Identifying Constitutive Parameters for Complex Hyperelastic Materials using Physics-Informed Neural Networks


Identifying Context-Dependent Translations for Evaluation Set Production


Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours


Identifying Correlation in Stream of Samples


Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming


Identifying DNA Sequence Motifs Using Deep Learning


Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots


Identifying Dwarfs of MC Analog GalaxiEs (ID-MAGE): The Search for Satellites Around Low-Mass Hosts


Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis


Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs


Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network


Identifying Emerging Concepts in Large Corpora


Identifying Equivalent Training Dynamics


Identifying Exoplanets with Deep Learning II: Two New Super-Earths Uncovered by a Neural Network in K2 Data


Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks


Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations


Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies


Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning


Identifying Galaxy Mergers in Observations and Simulations with Deep Learning


Identifying Hard Noise in Long-Tailed Sample Distribution


Identifying Heavy-Flavor Jets Using Vectors of Locally Aggregated Descriptors


Identifying Heterogeneous Treatment Effects in Multiple Outcomes using Joint Confidence Intervals


Identifying Important Group of Pixels using Interactions


Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component Analysis


Identifying Incorrect Annotations in Multi-Label Classification Data


Identifying Incorrect Classifications with Balanced Uncertainty


Identifying Interpretable Subspaces in Image Representations


Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection


Identifying Knowledge Editing Types in Large Language Models


Identifying Label Errors in Object Detection Datasets by Loss Inspection


Identifying Legal Holdings with LLMs: A Systematic Study of Performance, Scale, and Memorization


Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework


Identifying Lightning Processes in ERA5 Soundings with Deep Learning


Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income


Identifying Linear Relational Concepts in Large Language Models


Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions


Identifying Memorization of Diffusion Models through p-Laplace Analysis


Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models


Identifying Missing Component in the Bechdel Test Using Principal Component Analysis Method


Identifying Morality Frames in Political Tweets using Relational Learning


Identifying Necessary Elements for BERT's Multilinguality


Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues


Identifying Patch Correctness in Test-Based Program Repair


Identifying Patient-Specific Root Causes of Disease


Identifying Pauli spin blockade using deep learning


Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students


Identifying Peer Influence in Therapeutic Communities Adjusting for Latent Homophily


Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features


Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response


Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation


Identifying Quantum Correlations Using Explicit SO(3) to SU(2) Maps


Identifying Quantum Phase Transitions with Adversarial Neural Networks


Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts


Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models


Identifying Reliable Evaluation Metrics for Scientific Text Revision


Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks


Identifying Security-Critical Cyber-Physical Components in Industrial Control Systems


Identifying Selections Operating on HIV-1 Reverse Transcriptase via Uniform Manifold Approximation and Projection


Identifying Self-Admitted Technical Debt in Issue Tracking Systems using Machine Learning


Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts


Identifying Semantic Component for Robust Molecular Property Prediction


Identifying Semantic Divergences in Parallel Text without Annotations


Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow


Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus


Identifying Speakers and Addressees of Quotations in Novels with Prompt Learning


Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models


Identifying Spin Properties of Evaporating Black Holes through Asymmetric Neutrino and Photon Emission


Identifying Spurious Correlations for Robust Text Classification


Identifying Statistical Bias in Dataset Replication


Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data


Identifying Stroke Indicators Using Rough Sets


Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data


Identifying Threats, Cybercrime and Digital Forensic Opportunities in Smart City Infrastructure via Threat Modeling


Identifying Three-Dimensional Radiative Patterns Associated with Early Tropical Cyclone Intensification


Identifying Time Lag in Dynamical Systems with Copula Entropy based Transfer Entropy


Identifying Transients in the Dark Energy Survey using Convolutional Neural Networks


Identifying Unclear Questions in Community Question Answering Websites


Identifying Undercompensated Groups Defined By Multiple Attributes in Risk Adjustment


Identifying Unique Causal Network from Nonstationary Time Series


Identifying Visible Actions in Lifestyle Vlogs


Identifying Vulnerable Third-Party Java Libraries from Textual Descriptions of Vulnerabilities and Libraries


Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET


Identifying Wetland Areas in Historical Maps using Deep Convolutional Neural Networks


Identifying active galactic nuclei via brightness temperature with sub-arcsecond International LOFAR Telescope observations


Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model


Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition


Identifying and Analyzing Cryptocurrency Manipulations in Social Media


Identifying and Analyzing Sepsis States: A Retrospective Study on Patients with Sepsis in ICUs


Identifying and Benchmarking Natural Out-of-Context Prediction Problems


Identifying and Categorizing Offensive Language in Social Media


Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media


Identifying and Correcting Bias from Time- and Severity- Dependent Reporting Rates in the Estimation of the COVID-19 Case Fatality Rate


Identifying and Explaining Discriminative Attributes


Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features


Identifying and Extracting Rare Disease Phenotypes with Large Language Models


Identifying and Manipulating Personality Traits in LLMs Through Activation Engineering


Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics


Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models


Identifying and Quantifying Trade-offs in Multi-Stakeholder Risk Evaluation with Applications to the Data Protection Impact Assessment of the GDPR


Identifying and characterising the population of hot sub-luminous stars with multi-colour MeerLICHT data


Identifying and characterizing superspreaders of low-credibility content on Twitter


Identifying and correcting invalid citations due to DOI errors in Crossref data


Identifying and estimating effects of sustained interventions under parallel trends assumptions


Identifying and exploiting alpha in linear asset pricing models with strong, semi-strong, and latent factors


Identifying and mitigating noise sources in precision pulsar timing data sets


Identifying beneficial task relations for multi-task learning in deep neural networks


Identifying blockchain-based cryptocurrency accounts using investment portfolios


Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota


Identifying causal relations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021


Identifying centromeric satellites with dna-brnn


Identifying cross country skiing techniques using power meters in ski poles


Identifying eclipsing binary stars with TESS data based on a new hybrid deep learning model


Identifying efficient ensemble perturbations for initializing subseasonal-to-seasonal prediction


Identifying galaxies, quasars and stars with machine learning: a new catalogue of classifications for 111 million SDSS sources without spectra


Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials


Identifying heterogeneous micromechanical properties of biological tissues via physics-informed neural networks


Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance


Identifying latent distances with Finslerian geometry


Identifying metabolites from protein identifiers with P2M


Identifying metric structures of deep latent variable models


Identifying microlensing events using neural networks


Identifying nearby sources of ultra-high-energy cosmic rays with deep learning


Identifying non-natural language artifacts in bug reports


Identifying optimal cycles in quantum thermal machines with reinforcement-learning


Identifying optimal magnetic field configurations for decoherence mitigation of boron vacancies in hexagonal boron nitride


Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space


Identifying quenched jets in heavy ion collisions with machine learning


Identifying rapid changes in the hemodynamic response in event-related functional magnetic resonance imaging


Identifying regions of concomitant compound precipitation and wind speed extremes over Europe


Identifying regions of inhomogeneities in spatial processes via an M-RA and mixture priors


Identifying regions of minimal back-scattering by a relativistically-moving sphere


Identifying relevant Factors of Requirements Quality: an industrial Case Study


Identifying rich clubs in spatiotemporal interaction networks


Identifying stochastic oscillations in single-cell live imaging time series using Gaussian processes


Identifying strongly lensed gravitational waves through their phase consistency


Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse


Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection


Identifying the Hierarchical Emotional Areas in the Human Brain Through Information Fusion


Identifying the Key Attributes in an Unlabeled Event Log for Automated Process Discovery


Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method


Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models


Identifying the Risks of LM Agents with an LM-Emulated Sandbox


Identifying the Smallest Adversarial Load Perturbations that Render DC-OPF Infeasible


Identifying the Units of Measurement in Tabular Data


Identifying the minimal sets of distance restraints for FRET-assisted protein structural modeling


Identifying the onset and decay of quasi-stationary families of almost-invariant sets with an application to atmospheric blocking events


Identifying the physical origin of gamma-ray bursts with supervised machine learning


Identifying the style by a qualified reader on a short fragment of generated poetry


Identifying the temporal dynamics of densification and sparsification in human contact networks


Identifying time dependence in network growth


Identifying transient and variable sources in radio images


Identifying treatment response subgroups in observational time-to-event data


Identifying vital nodes through augmented random walks on higher-order networks


Identifying while Learning for Document Event Causality Identification


Identities for subspaces of the Weyl algebra


Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection


Identity Enhanced Residual Image Denoising


Identity Inference on Blockchain using Graph Neural Network


Identity-Aware Hand Mesh Estimation and Personalization from RGB Images


Identity-Aware Multi-Sentence Video Description


Identity-Consistent Aggregation for Video Object Detection


Identity-Preserving Aging of Face Images via Latent Diffusion Models


Identity-Preserving Talking Face Generation with Landmark and Appearance Priors


Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identification


Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition


Idiolect: A Reconfigurable Voice Coding Assistant


Idiomatic Expression Identification using Semantic Compatibility


Idioms: Neural Decompilation With Joint Code and Type Definition Prediction


Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles


If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions


If Concept Bottlenecks are the Question, are Foundation Models the Answer?


If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World


If Influence Functions are the Answer, Then What is the Question?


If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection


If beam search is the answer, what was the question?


If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in History


If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level


IgCraft: A versatile sequence generation framework for antibody discovery and engineering


Igeood: An Information Geometry Approach to Out-of-Distribution Detection


Ignite Forecasting with SPARK: An Efficient Generative Framework for Refining LLMs in Temporal Knowledge Graph Forecasting


Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents


IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries


Ignore Previous Prompt: Attack Techniques For Language Models


Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition


Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care


Ilinva: Using Abduction to Generate Loop Invariants


Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis


Illuminating Darkness: Enhancing Real-world Low-light Scenes with Smartphone Images


Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation


Illuminating Low-Surface-Brightness Galaxies with the Hyper Suprime-Cam Survey


Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network


Illuminating new and known relations between knot invariants


Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding


Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark


Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images


Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch Invariance


Illusion Spaces in VR: The Interplay Between Size and Taper Angle Perception in Grasping


Illusion of persistence in NBA 1995-2018 regular season data


Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning


IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models


Illusions of Relevance: Using Content Injection Attacks to Deceive Retrievers, Rerankers, and LLM Judges


Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual Illusions


Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes


Im2Oil: Stroke-Based Oil Painting Rendering with Linearly Controllable Fineness Via Adaptive Sampling


Im2Vec: Synthesizing Vector Graphics without Vector Supervision


Im2win: An Efficient Convolution Paradigm on GPU


Im2win: Memory Efficient Convolution On SIMD Architectures


Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes


ImAiR: Airwriting Recognition framework using Image Representation of IMU Signals


ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection


ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery


ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks


ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection


ImMesh: An Immediate LiDAR Localization and Meshing Framework


ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images


ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models


ImProver: Agent-Based Automated Proof Optimization


ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators


Image Aesthetics Assessment Using Graph Attention Network


Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI


Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case


Image Blind Denoising Using Dual Convolutional Neural Network with Skip Connection


Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives


Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge


Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering


Image Captioning via Dynamic Path Customization


Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing


Image Captioning with Deep Bidirectional LSTMs


Image Classification Algorithm for Determining the Light Curve Morphologies of ASAS-SN Eclipsing Binaries


Image Classification Using Singular Value Decomposition and Optimization


Image Classification by Throwing Quantum Kitchen Sinks at Tensor Networks


Image Classification with CondenseNeXt for ARM-Based Computing Platforms


Image Clustering Algorithm Based on Self-Supervised Pretrained Models and Latent Feature Distribution Optimization


Image Clustering Conditioned on Text Criteria


Image Clustering using an Augmented Generative Adversarial Network and Information Maximization


Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models


Image Coding for Machines with Edge Information Learning Using Segment Anything


Image Colorization: A Survey and Dataset