FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency


Fathom: Reference Workloads for Modern Deep Learning Methods


Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee


Fault-tolerant quantum computation by anyons


Fault-tolerant qubit from a constant number of components


FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees


Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks


Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning


Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection


Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction


Feature Importance Measure for Non-linear Learning Algorithms


Feature Learning based Deep Supervised Hashing with Pairwise Labels


Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals


Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning


Feature Selection for Multivariate Time Series via Network Pruning


Feature Selection for Survival Analysis with Competing Risks using Deep Learning


Feature Selection in the Contrastive Analysis Setting


Feature Selection with Annealing for Computer Vision and Big Data Learning


Feature Selection with Evolving, Fast and Slow Using Two Parallel Genetic Algorithms


Feature based Sequential Classifier with Attention Mechanism


Feature quantization for parsimonious and interpretable predictive models


Feature selection in omics prediction problems using cat scores and false nondiscovery rate control


Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications


Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications


Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning


FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning


FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data


FedCoin: A Peer-to-Peer Payment System for Federated Learning


FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure


FedHIL: Heterogeneity Resilient Federated Learning for Robust Indoor Localization with Mobile Devices


FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning


FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks


FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data


FedQV: Leveraging Quadratic Voting in Federated Learning


Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System


Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning


Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes


Federated Learning From Big Data Over Networks


Federated Learning for ASR based on Wav2vec 2.0


Federated Learning for Computational Pathology on Gigapixel Whole Slide Images


Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease


Federated Learning with Only Positive Labels


Federated LoRA with Sparse Communication


Federated Machine Learning: Concept and Applications


Federated Multi-Task Learning under a Mixture of Distributions


Federated Stochastic Gradient Langevin Dynamics


Federated Unlearning via Class-Discriminative Pruning


Federated Unlearning: How to Efficiently Erase a Client in FL?


Fedstellar: A Platform for Decentralized Federated Learning


Feedback Control of a Cassie Bipedal Robot: Walking, Standing, and Riding a Segway


Feedback from OB stars on their parent cloud: Gas exhaustion rather than gas ejection


FellWalker - a Clump Identification Algorithm


Fence GAN: Towards Better Anomaly Detection


FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead


Fermionic tensor network contraction for arbitrary geometries


Few Sample Knowledge Distillation for Efficient Network Compression


Few-Example Object Detection with Model Communication


Few-Shot Adaptation of Generative Adversarial Networks


Few-Shot Image Recognition by Predicting Parameters from Activations


Few-Shot Incremental Learning with Continually Evolved Classifiers


Few-Shot Learning with Global Class Representations


Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild


Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector


Few-Shot Open-Set Recognition using Meta-Learning


Few-View Object Reconstruction with Unknown Categories and Camera Poses


Few-shot Action Recognition with Permutation-invariant Attention


Few-shot Image Generation via Masked Discrimination


Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation


Few-shot Open-set Recognition by Transformation Consistency


Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs


Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing


Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion features


FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding


FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation


Feynman Machine: The Universal Dynamical Systems Computer


FiLM: Visual Reasoning with a General Conditioning Layer


FiLMing Multimodal Sarcasm Detection with Attention


Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods


Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images


Fictitious GAN: Training GANs with Historical Models


Field assisted extraction and swelling of quantum coherence for moving Unruh-DeWitt detectors


Field-based Design of a Resonant Dielectric Antenna for Coherent Spin-Photon Interfaces


Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising


FieldSAFE: Dataset for Obstacle Detection in Agriculture


Fields and Characteristic Impedances of Dipole and Quadrupole Cylindrical Stripline Kickers


Fifth order finite volume WENO in general orthogonally-curvilinear coordinates


Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems


FikoRE: 5G and Beyond RAN Emulator for Application Level Experimentation and Prototyping


Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue


FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces


FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization


Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech


Filtered actuator disks: Theory and application to wind turbine models in large eddy simulation


Filtration Simplification for Persistent Homology via Edge Contraction


FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance


FinRLlama: A Solution to LLM-Engineered Signals Challenge at FinRL Contest 2024


Financial Trading as a Game: A Deep Reinforcement Learning Approach


Finding All ε-Good Arms in Stochastic Bandits


Finding Angles for Quantum Signal Processing with Machine Precision


Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution


Finding Faster Configurations using FLASH


Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error


Finding Hadamard matrices by a quantum annealing machine


Finding Moments in Video Collections Using Natural Language


Finding Neighbors in a Forest: A b-tree for Smoothed Particle Hydrodynamics Simulations


Finding Safety in Numbers with Secure Allegation Escrows


Finding Structure in Text, Genome and Other Symbolic Sequences


Finding Your (3D) Center: 3D Object Detection Using a Learned Loss


Finding a Bounded-Degree Expander Inside a Dense One


Finding and assessing treatment effect sweet spots in clinical trial data


Finding multiple core-periphery pairs in networks


Finding statistically significant communities in networks


Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments


Finding the ground states of symmetric infinite-dimensional Hamiltonians: explicit constrained optimizations of tensor networks


Fine-Grained Alignment and Noise Refinement for Compositional Text-to-Image Generation


Fine-Grained Expression Manipulation via Structured Latent Space


Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and Segmentation


Fine-Grained Human Feedback Gives Better Rewards for Language Model Training


Fine-Grained Named Entity Recognition using ELMo and Wikidata


Fine-Tuning LLaMA for Multi-Stage Text Retrieval


Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success


Fine-grained Apparel Classification and Retrieval without rich annotations


Fine-grained Emotion and Intent Learning in Movie Dialogues


Fine-grained Sentiment Classification using BERT


Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text


Fine-tuning CNN Image Retrieval with No Human Annotation


Fine-tuning Image Transformers using Learnable Memory


Finetuned Language Models Are Zero-Shot Learners


Finetuning Pretrained Transformers into RNNs


FingerFlex: Inferring Finger Trajectories from ECoG signals


FingerVision Tactile Sensor Design and Slip Detection Using Convolutional LSTM Network


Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors


Finite Scalar Quantization: VQ-VAE Made Simple


Finite sample learning of moving targets


Finite size effects for spiking neural networks with spatially dependent coupling


Finite spectral triples for the fuzzy torus


Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning


Firefly Algorithms for Multimodal Optimization


First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting


First Steps Toward Camera Model Identification with Convolutional Neural Networks


First and Second Order Shape Optimization based on Restricted Mesh Deformations


First observation of isolated nuclear recoils following neutron capture for dark matter calibration


First occurrences of square-free gaps and an algorithm for their computation


First performance measurements with the Analysis Grand Challenge


First-Order Preconditioning via Hypergradient Descent


First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs


First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations


First-Principles Theory for Schottky Barrier Physics


First-mover advantage explains gender disparities in physics citations


First-principle quantum Monte-Carlo study of charge carrier mobility in organic molecular semiconductors


First-principles machine learning modelling of COVID-19


Fisher-Rao Metric, Geometry, and Complexity of Neural Networks


Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation


Fit2Form: 3D Generative Model for Robot Gripper Form Design


Fitting 3D Morphable Models using Local Features


Fitting Methods for Baryon Acoustic Oscillations in the Lyman-α Forest Fluctuations in BOSS Data Release 9


Fitting the nonlinear matter bispectrum by the Halofit approach


FixMiner: Mining Relevant Fix Patterns for Automated Program Repair


Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization


Fixed-Depth Two-Qubit Circuits and the Monodromy Polytope


Flamingo: a Visual Language Model for Few-Shot Learning


Flares in Open Clusters with K2. II. Pleiades, Hyades, Praesepe, Ruprecht 147, and M67


FlashFace: Human Image Personalization with High-fidelity Identity Preservation


FlatCam: Thin, Bare-Sensor Cameras using Coded Aperture and Computation


Flavour mixing transport theory and resonant leptogenesis


Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)


FlexIT: Towards Flexible Semantic Image Translation


Flexible Differentiable Optimization via Model Transformations


Flexible Isosurface Extraction for Gradient-Based Mesh Optimization


Flexible Parametric Inference for Space-Time Hawkes Processes


Flexible Scheduling of Distributed Analytic Applications


Flexible and Generic Framework for Complex Nuclear Medicine Scanners using FreeCAD/GDML Workbench


Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation


Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models


FlipTest: Fairness Testing via Optimal Transport


FloMo: Tractable Motion Prediction with Normalizing Flows


Florence: A New Foundation Model for Computer Vision


Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow


Flow in AA and pA as an interplay of fluid-like and non-fluid like excitations


Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance


Flow-based Alignment Approaches for Probability Measures in Different Spaces


Flow-based generative models for Markov chain Monte Carlo in lattice field theory


Flow-driven branching in a frangible porous medium


FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning


Flower Pollination Algorithm for Global Optimization


Flower: A Friendly Federated Learning Research Framework


FluidDyn: a Python open-source framework for research and teaching in fluid dynamics


FluidMem: Memory as a Service for the Datacenter


Flush+Flush: A Fast and Stealthy Cache Attack


Focal Self-attention for Local-Global Interactions in Vision Transformers


Focal and Efficient IOU Loss for Accurate Bounding Box Regression


Focusing on Difficult Directions for Learning HMC Trajectory Lengths


Fog Function: Serverless Fog Computing for Data Intensive IoT Services


FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing


FogROS2-SGC: A ROS2 Cloud Robotics Platform for Secure Global Connectivity


FoggySight: A Scheme for Facial Lookup Privacy


Folded Spectrum VQE : A quantum computing method for the calculation of molecular excited states


Folding-based compression of point cloud attributes


Food Ingredients Recognition through Multi-label Learning


Fooling LiDAR Perception via Adversarial Trajectory Perturbation


Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level"


Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency


Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables


Forecasting Pedestrian Trajectory with Machine-Annotated Training Data


Forecasting hospital demand during COVID-19 pandemic outbreaks


Forecasting in Non-stationary Environments with Fuzzy Time Series


Forecasting the onset and course of mental illness with Twitter data


Forensic analysis of the Windows telemetry for diagnostics


ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis


Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes


Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networks


Formal Limitations on the Measurement of Mutual Information


Formal Specification and Verification of Smart Contracts for Azure Blockchain


Formal controller synthesis for hybrid systems using genetic programming


Formalizing Traffic Rules for Machine Interpretability


Formally Specifying and Proving Operational Aspects of Forensic Lucid in Isabelle


Formally Verified Hardware/Software Co-Design for Remote Attestation


Formulating an $n$-person noncooperative game as a tensor complementarity problem


Forrelation: A Problem that Optimally Separates Quantum from Classical Computing


Fortran 90 implementation of the Hartree-Fock approach within the CNDO/2 and INDO models


Forward Modeling of Large-Scale Structure: An open-source approach with Halotools


Forward Thinking: Building Deep Random Forests


FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration


Four-hour thunderstorm nowcasting using deep diffusion models of satellite


Fourier PCA and Robust Tensor Decomposition


FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints


FracBits: Mixed Precision Quantization via Fractional Bit-Widths


Fragile Complexity of Comparison-Based Algorithms


Frame Averaging for Invariant and Equivariant Network Design


Frame-Event Alignment and Fusion Network for High Frame Rate Tracking


Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices


FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image


Frank-Wolfe-type methods for a class of nonconvex inequality-constrained problems


FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs


Free Lunch for Few-shot Learning: Distribution Calibration


Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit


Free energy-based reinforcement learning using a quantum processor


Free expansion of Bose-Einstein condensates with a multicharged vortex


Frequency Logarithmic Perturbation on the Group-Velocity Dispersion Parameter with Applications to Passive Optical Networks


Frequency and time domain inspiral templates for comparable mass compact binaries in eccentric orbits


Frequency-domain MLPs are More Effective Learners in Time Series Forecasting


Frequency-modulated combs as phase solitons


Frequent Pattern Mining in Continuous-time Temporal Networks


FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search


From Angular Manifolds to the Integer Lattice: Guaranteed Orientation Estimation with Application to Pose Graph Optimization


From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization


From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity


From Discrete to Continuous Convolution Layers


From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective


From Dyson Models to Many-Body Quantum Chaos


From English To Foreign Languages: Transferring Pre-trained Language Models


From Euler to AI: Unifying Formulas for Mathematical Constants


From Facial Parts Responses to Face Detection: A Deep Learning Approach


From Femtoseconds to Gigaseconds: The SolDeg Platform for the Performance Degradation Analysis of Silicon Heterojunction Solar Cells


From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D


From Importance Sampling to Doubly Robust Policy Gradient


From Node Embedding To Community Embedding : A Hyperbolic Approach


From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting


From Paraphrase Database to Compositional Paraphrase Model and Back


From Paris to Berlin: Discovering Fashion Style Influences Around the World


From Patterson Maps to Atomic Coordinates: Training a Deep Neural Network to Solve the Phase Problem for a Simplified Case


From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots


From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions


From Predictive to Prescriptive Analytics


From Satellite Imagery to Disaster Insights


From Simple Features to Moving Features and Beyond?


From Soft Classifiers to Hard Decisions: How fair can we be?


From Understanding the World to Intervening in It: A Unified Multi-Scale Framework for Embodied Cognition


From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques


From code to market: Network of developers and correlated returns of cryptocurrencies


From safe screening rules to working sets for faster Lasso-type solvers


From temporal network data to the dynamics of social relationships


From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI


Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions


Frontal Low-rank Random Tensors for Fine-grained Action Segmentation


Frontier AI systems have surpassed the self-replicating red line


Frontier Based Exploration for Autonomous Robot


Frozen Backpropagation: Relaxing Weight Symmetry in Temporally-Coded Deep Spiking Neural Networks


FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance


Fruit and Vegetable Identification Using Machine Learning for Retail Applications


Fruit recognition from images using deep learning


Frustrated Random Walks: A Faster Algorithm to Evaluate Node Distances on Connected and Undirected Graphs


FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations


FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network


Full Page Handwriting Recognition via Image to Sequence Extraction


Full Reference Video Quality Assessment for Machine Learning-Based Video Codecs


Full-Stack Filters to Build Minimum Viable CNNs


Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection


Fully Character-Level Neural Machine Translation without Explicit Segmentation


Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs


Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels


Fully Convolutional Multi-Class Multiple Instance Learning


Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade


Fully Test-Time Adaptation for Monocular 3D Object Detection


Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction


Fully-Dynamic Space-Efficient Dictionaries and Filters with Constant Number of Memory Accesses


Fully-programmable universal quantum simulator with a one-dimensional quantum processor


Function Secret Sharing for PSI-CA:With Applications to Private Contact Tracing


Function Vectors in Large Language Models


Functional Regularisation for Continual Learning with Gaussian Processes


Functional Variational Bayesian Neural Networks


Functional linear regression with truncated signatures


Functional probabilistic programming for scalable Bayesian modelling


Fundamental Privacy Limits in Bipartite Networks under Active Attacks


Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes


Funnel Control Under Hard and Soft Output Constraints


Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Cross-Lingual Text Classification


FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformers


Fusing Body Posture with Facial Expressions for Joint Recognition of Affect in Child-Robot Interaction


Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation


G-Mixup: Graph Data Augmentation for Graph Classification


G-Tran: Making Distributed Graph Transactions Fast


G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection


G2GT: Retrosynthesis Prediction with Graph to Graph Attention Neural Network and Self-Training


G2SAT: Learning to Generate SAT Formulas


GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention


GAIA: A Transfer Learning System of Object Detection that Fits Your Needs


GAN-based Priors for Quantifying Uncertainty


GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation


GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models


GANSynth: Adversarial Neural Audio Synthesis


GAP: Generalizable Approximate Graph Partitioning Framework


GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud


GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings


GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction


GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction


GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection


GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks


GDN: A Stacking Network Used for Skin Cancer Diagnosis


GECToR -- Grammatical Error Correction: Tag, Not Rewrite


GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection


GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-spectrogram


GENIUS: A Generative Framework for Universal Multimodal Search


GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs


GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation


GFF: Gated Fully Fusion for Semantic Segmentation


GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems


GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications


GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs


GIRAFFE HD: A High-Resolution 3D-aware Generative Model


GLASS: Geometric Latent Augmentation for Shape Spaces


GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling


GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation


GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation


GLoG: Laplacian of Gaussian for Spatial Pattern Detection in Spatio-Temporal Data


GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations


GLocalX -- From Local to Global Explanations of Black Box AI Models


GM2Calc: Precise MSSM prediction for $(g - 2)$ of the muon


GMOSS: All-sky model of spectral radio brightness based on physical components and associated radiative processes


GMRES with randomized sketching and deflated restarting


GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text Representation


GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries


GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions


GOES class estimation for behind-the-limb solar flares using MESSENGER SAX


GOLD-NAS: Gradual, One-Level, Differentiable


GP-GAN: Towards Realistic High-Resolution Image Blending


GPA: A GPU Performance Advisor Based on Instruction Sampling


GPGait: Generalized Pose-based Gait Recognition


GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices


GPT-Neo for commonsense reasoning -- a theoretical and practical lens


GPTPU: Accelerating Applications using Edge Tensor Processing Units


GPflowOpt: A Bayesian Optimization Library using TensorFlow


GRAC: Self-Guided and Self-Regularized Actor-Critic


GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling


GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy


GRIDS: Interactive Layout Design with Integer Programming


GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series


GRU-PFG: Extract Inter-Stock Correlation from Stock Factors with Graph Neural Network


GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators


GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding


GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance


GTNet: Generative Transfer Network for Zero-Shot Object Detection


GUI Element Detection Using SOTA YOLO Deep Learning Models


GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents


GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs


GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run


GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs


GaMPEN: A Machine Learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters


GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging


GaborNet: Gabor filters with learnable parameters in deep convolutional neural networks


Gaining insight from large data volumes with ease


Galactic synchrotron emissivity measurements between 250° < l < 355° from the GLEAM survey with the MWA


Galaxy cluster mass estimation with deep learning and hydrodynamical simulations


Game-Theoretic Multiagent Reinforcement Learning


GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving


Gamma-Ray bursts: Energetics and Prompt Correlations


Gap Safe screening rules for sparsity enforcing penalties


Garbage Collection in JyNI - How to bridge Mark/Sweep and Reference Counting GC


Garment3DGen: 3D Garment Stylization and Texture Generation


GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns


GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric Cancer


Gate Activation Signal Analysis for Gated Recurrent Neural Networks and Its Correlation with Phoneme Boundaries


Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection


Gated Texture CNN for Efficient and Configurable Image Denoising


Gator: a low-background counting facility at the Gran Sasso Underground Laboratory


Gaussian Mixture Based Enhanced Sampling


Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes


Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation


Gaussian Process Kernels for Pattern Discovery and Extrapolation


Gaussian Process Latent Variable Alignment Learning


Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems


Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design


Gaussian Process Priors for View-Aware Inference


Gaussian Prototypical Networks for Few-Shot Learning on Omniglot


Gaussian process aided function comparison using noisy scattered data


Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting


GaussianAvatar-Editor: Photorealistic Animatable Gaussian Head Avatar Editor


GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting


Gaze Estimation with an Ensemble of Four Architectures


Gaze360: Physically Unconstrained Gaze Estimation in the Wild


GeDi: Generative Discriminator Guided Sequence Generation


Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling


Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2


Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View


GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment


GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data


GenDR: A Generalized Differentiable Renderer


GenDet: Towards Good Generalizations for AI-Generated Image Detection


GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation


GenOnet: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3


GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies


Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods


Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer


Gender Bias in Neural Natural Language Processing


Gender Representation in TV and Radio: Automatic Information Extraction methods versus Manual Analyses


Gender and Ethnicity Classification based on Palmprint and Palmar Hand Images from Uncontrolled Environment


Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus


Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering


GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis


General $E(2)$-Equivariant Steerable CNNs


General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model


General framework for E(3)-equivariant neural network representation of density functional theory Hamiltonian


General-Reasoner: Advancing LLM Reasoning Across All Domains


General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline


General-to-Detailed GAN for Infrequent Class Medical Images


Generalised Linear Models for Dependent Binary Outcomes with Applications to Household Stratified Pandemic Influenza Data


Generalised primal-dual grids for unstructured co-volume schemes


Generalised triangle groups of type (2,3,2) with no cyclic essential representations


Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning


Generalizable control for quantum parameter estimation through reinforcement learning


Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation


Generalization Properties and Implicit Regularization for Multiple Passes SGM


Generalization and Exploration via Randomized Value Functions


Generalization in Adaptive Data Analysis and Holdout Reuse


Generalization of Equilibrium Propagation to Vector Field Dynamics


Generalization techniques of neural networks for fluid flow estimation


Generalization through Memorization: Nearest Neighbor Language Models


Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels


Generalized Cut Polytopes for Binary Hierarchical Models


Generalized Fisher Score for Feature Selection


Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data


Generalized Moment Cancellation for Long-Range Electrostatics


Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions


Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data


Generalized Octave Convolutions for Learned Multi-Frequency Image Compression


Generalized Relevance Learning Grassmann Quantization


Generalized Shape Metrics on Neural Representations


Generalized Spatio-Temporal RNN Beamformer for Target Speech Separation


Generalized Stability Approach for Regularized Graphical Models


Generalized Supervised Meta-blocking (technical report)


Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders


Generalized Zero-Shot Learning Via Over-Complete Distribution


Generalized additive models to capture the death rates in Canada COVID-19


Generalized eigen, singular value, and partial least squares decompositions: The GSVD package


Generalized q-Analysis of Log-Periodicity: Applications to Critical Ruptures


Generalizing GradCAM for Embedding Networks


Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects?


Generalizing Randomized Trial Findings to a Target Population using Complex Survey Population Data


Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration


Generate To Adapt: Aligning Domains using Generative Adversarial Networks


Generate, Segment and Refine: Towards Generic Manipulation Segmentation


Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization


Generating 3D People in Scenes without People


Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN


Generating Automatic Curricula via Self-Supervised Active Domain Randomization


Generating Candidate Busy Beaver Machines (Or How to Build the Zany Zoo)


Generating GraphQL-Wrappers for REST(-like) APIs


Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization


Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks


Generating Steganographic Images via Adversarial Training


Generating Synthetic Data for Text Recognition


Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation


Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks


Generating Wikipedia by Summarizing Long Sequences


Generating and designing DNA with deep generative models


Generating artificial light curves: Revisited and updated


Generating images with recurrent adversarial networks


Generating long streams of $1/f^alpha$ noise


Generating nested quadrature rules with positive weights based on arbitrary sample sets


Generating survival times using Cox proportional hazards models with cyclic time-varying covariates, with application to a multiple-dose monoclonal antibody clinical trial


Generation of Local Symmetry-Preserving Operations


Generation of Pseudo Code from the Python Source Code using Rule-Based Machine Translation


Generative Adversarial Network for Abstractive Text Summarization


Generative Adversarial Network for Medical Images (MI-GAN)


Generative Adversarial Networks for Automatic Polyp Segmentation


Generative Adversarial Networks for text using word2vec intermediaries


Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy


Generative Adversarial Networks with Decoder-Encoder Output Noise


Generative Causal Explanations for Graph Neural Networks


Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting


Generative Concatenative Nets Jointly Learn to Write and Classify Reviews


Generative De-Quantization for Neural Speech Codec via Latent Diffusion


Generative Hierarchical Features from Synthesizing Images


Generative Meta-Learning Robust Quality-Diversity Portfolio


Generative Modeling for Small-Data Object Detection


Generative Neural Samplers for the Quantum Heisenberg Chain


Generative Partition Networks for Multi-Person Pose Estimation


Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis


Generative Recommender with End-to-End Learnable Item Tokenization


Generative adversarial network-based image super-resolution using perceptual content losses


Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection


Generative timbre spaces: regularizing variational auto-encoders with perceptual metrics


Generator Versus Segmentor: Pseudo-healthy Synthesis


Generic Deep Networks with Wavelet Scattering


Genet: A Quickly Scalable Fat-Tree Overlay for Personal Volunteer Computing using WebRTC


Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification


Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification


Genetic algorithms are strong baselines for molecule generation


Genie: Generative Interactive Environments


Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer


Geo-Indistinguishability: Differential Privacy for Location-Based Systems


Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction


GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints


GeoFlink: A Framework for the Real-time Processing of Spatial Streams


GeoNeRF: Generalizing NeRF with Geometry Priors


GeoStyle: Discovering Fashion Trends and Events


GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image


Geocoding Without Geotags: A Text-based Approach for reddit


Geometric Affordances from a Single Example via the Interaction Tensor


Geometric Algebra for Optimal Control with Applications in Manipulation Tasks


Geometric Functionals of fractal percolation


Geometric Integration Over Irregular Domains with topologic Guarantees


Geometric Invariants for Sparse Unknown View Tomography


Geometric Rényi Divergence and its Applications in Quantum Channel Capacities


Geometric and Nonequilibrium Criticality in Run-and-Tumble Particles with Competing Motility and Attraction


Geometric decompositions and local bases for spaces of finite element differential forms


Geometry of learning neural quantum states


Geometry of the restricted Boltzmann machine


Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds


Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension


Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping


Geometry-Contrastive GAN for Facial Expression Transfer


Geometry-Oblivious FMM for Compressing Dense SPD Matrices


Geometry-aware Instance-reweighted Adversarial Training


Gesture Recognition for Initiating Human-to-Robot Handovers


GestureKeeper: Gesture Recognition for Controlling Devices in IoT Environments


GestureMap: Supporting Visual Analytics and Quantitative Analysis of Motion Elicitation Data by Learning 2D Embeddings


Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification


Getting coherent state superpositions to stay put in phase space: $Q$ functions and one dimensional integral representations of generator eigenstates


Getting to 99% Accuracy in Interactive Segmentation


GhostVLAD for set-based face recognition


Giant Topological Hall Effect in van der Waals Heterostructures of CrTe2/Bi2Te3


Gini Index based Initial Coin Offering Mechanism


Giraffe: Using Deep Reinforcement Learning to Play Chess


Give your Text Representation Models some Love: the Case for Basque


Gleason Grading of Histology Prostate Images through Semantic Segmentation via Residual U-Net


Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions


Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction


Global Convergence of ADMM in Nonconvex Nonsmooth Optimization


Global Decay Chain Vertex Fitting at B-Factories


Global Model Interpretation via Recursive Partitioning


Global Rhythm Style Transfer Without Text Transcriptions


Global Sensitivity Analysis: a new generation of mighty estimators based on rank statistics


Global Sentiment Analysis Of COVID-19 Tweets Over Time


Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network


Global Vision Transformer Pruning with Hessian-Aware Saliency


Global and Local Entailment Learning for Natural World Imagery


Global detection and analysis of coastline associated rainfall using an objective pattern recognition technique


Global diagnostics of ionospheric absorption during X-ray solar flares based on 8-20MHz noise measured by over-the-horizon radars


Global dynamics in nonconservative nonlinear Schrödinger equations


Global optimization of MPS in quantum-inspired numerical analysis


Globally Optimal Registration based on Fast Branch and Bound


Globally optimal registration of noisy point clouds


Globetrotter: Connecting Languages by Connecting Images


GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh


Goal-directed graph construction using reinforcement learning


Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer


Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR


Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning


Goku: Flow Based Video Generative Foundation Models


Golos: Russian Dataset for Speech Research


Gonogo: An R Implementation of Test Methods to Perform, Analyze and Simulate Sensitivity Experiments


Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts


Good Practices and A Strong Baseline for Traffic Anomaly Detection


Good practices for evaluation of machine learning systems


Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem


Gotta Learn Fast: A New Benchmark for Generalization in RL


Gottesman-Kitaev-Preskill state preparation by photon catalysis


GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing


Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech


GradViT: Gradient Inversion of Vision Transformers


Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks


Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size


Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models


Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction


Gradients do grow on trees: a linear-time ${\cal O}\hspace{-0.2em}\left( N \right)$-dimensional gradient for statistical phylogenetics


Gradual Program Analysis for Null Pointers


Gradual Source Domain Expansion for Unsupervised Domain Adaptation


Grafting for Combinatorial Boolean Model using Frequent Itemset Mining


Grammar Induction for Minimalist Grammars using Variational Bayesian Inference : A Technical Report


Grammatical facial expression recognition using customized deep neural network architecture


Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection Procedure


Grant-Free Radio Access for Short-Packet Communications over 5G Networks


Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems


Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems


Graph Convolutional Networks with EigenPooling


Graph Degree Linkage: Agglomerative Clustering on a Directed Graph


Graph Fuzzy System: Concepts, Models and Algorithms


Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning


Graph Matching with Partially-Correct Seeds


Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking


Graph Neural Networks for Cross-Camera Data Association


Graph Neural Networks for Decentralized Multi-Robot Path Planning


Graph Neural Networks for IceCube Signal Classification


Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics


Graph Neural Networks with Generated Parameters for Relation Extraction


Graph Neural Networks with convolutional ARMA filters


Graph Reconstruction by Discrete Morse Theory


Graph Representation Learning via Hard and Channel-Wise Attention Networks


Graph Sparsification by Effective Resistances


Graph Stacked Hourglass Networks for 3D Human Pose Estimation


Graph Star Net for Generalized Multi-Task Learning


Graph hierarchy and spread of infections


Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question


Graph networks as learnable physics engines for inference and control


Graph similarity learning for change-point detection in dynamic networks


Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories


Graph-Bert: Only Attention is Needed for Learning Graph Representations


Graph-Guided Network for Irregularly Sampled Multivariate Time Series


Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces


Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting


Graph-based Anomaly Detection and Description: A Survey


Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing


Graph-based State Representation for Deep Reinforcement Learning


Graph-based methods coupled with specific distributional distances for adversarial attack detection


Graph-guided Architecture Search for Real-time Semantic Segmentation


Graph2Speak: Improving Speaker Identification using Network Knowledge in Criminal Conversational Data


GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment


GraphCast: Learning skillful medium-range global weather forecasting


GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks


GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training


GraphText: Graph Reasoning in Text Space


GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function


GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding


Graphical Contrastive Losses for Scene Graph Parsing


Graphical approaches for the control of generalised error rates


Graphical-model based estimation and inference for differential privacy


Graphite: Iterative Generative Modeling of Graphs


Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing


Graphon Estimation from Partially Observed Network Data


Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge


Grasp2Vec: Learning Object Representations from Self-Supervised Grasping


GraspSAM: When Segment Anything Model Meets Grasp Detection


Graspness Discovery in Clutters for Fast and Accurate Grasp Detection


Gravitational Waves from Oscillon Preheating


Gravitational lens modeling with basis sets


Gravitational wave searches for ultralight bosons with LIGO and LISA


Gravitational waves from extreme-mass-ratio inspirals in the semiclassical gravity spacetime


Gravitational waves from inspiraling compact binaries: Validity of the stationary-phase approximation to the Fourier transform


Gravitational waves from spinning eccentric binaries


Gravitational-Wave Asteroseismology with Fundamental Modes from Compact Binary Inspirals


Gravitational-wave astronomy with an uncertain noise power spectral density


Gravitational-wave parameter estimation with gaps in LISA: a Bayesian data augmentation method


Gray Level Co-Occurrence Matrices: Generalisation and Some New Features


Greedy Algorithms for Hybrid Compressed Sensing


Greedy Gaussian Segmentation of Multivariate Time Series


Greedy Sensor Placement with Cost Constraints


Green's functions and DOS for some 2D lattices


GreenEVT: Greensboro Electric Vehicle Testbed


Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction


GridSim: A Vehicle Kinematics Engine for Deep Neuroevolutionary Control in Autonomous Driving


Gridless Variational Bayesian Channel Estimation for Antenna Array Systems with Low Resolution ADCs


GroSS: Group-Size Series Decomposition for Grouped Architecture Search


Gromov-Wasserstein Distances between Gaussian Distributions


Ground then Navigate: Language-guided Navigation in Dynamic Scenes


Grounded Adaptation for Zero-shot Executable Semantic Parsing


Grounded Human-Object Interaction Hotspots from Video


Grounded Language Learning in a Simulated 3D World


Grounded Multi-Hop VideoQA in Long-Form Egocentric Videos


Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection


Group Equivariant Convolutional Networks


Group SLOPE - adaptive selection of groups of predictors


Group Testing under Superspreading Dynamics


Group Whitening: Balancing Learning Efficiency and Representational Capacity


Group and Shuffle: Efficient Structured Orthogonal Parametrization


Group-Fairness in Influence Maximization


Group-aware Contrastive Regression for Action Quality Assessment


Group-based Sparse Representation for Image Restoration


Group-driven Reinforcement Learning for Personalized mHealth Intervention


GroupDiff: Diffusion-based Group Portrait Editing


Grouped Spatial-Temporal Aggregation for Efficient Action Recognition


Grover's Algorithm: Quantum Database Search


Growing Attributed Networks through Local Processes


Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references


Guaranteed Generation from Large Language Models


Guess & Check Codes for Deletions, Insertions, and Synchronization


Guess Where? Actor-Supervision for Spatiotemporal Action Localization


Guetzli: Perceptually Guided JPEG Encoder


Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)


Guided Deep Decoder: Unsupervised Image Pair Fusion


Guided Deep Reinforcement Learning for Swarm Systems


Guided Integrated Gradients: An Adaptive Path Method for Removing Noise


Guided Machine Learning for power grid segmentation


Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation


Guiding Frame-Level CTC Alignments Using Self-knowledge Distillation


Guiding Policies with Language via Meta-Learning


Guiding attention in Sequence-to-sequence models for Dialogue Act prediction


Guitar-TECHS: An Electric Guitar Dataset Covering Techniques, Musical Excerpts, Chords and Scales Using a Diverse Array of Hardware


Gutzwiller Hybrid Quantum-Classical Computing Approach for Correlated Materials


H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions


H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark


H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields


H5MD: a structured, efficient, and portable file format for molecular data


HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization


HARA: A Hierarchical Approach for Robust Rotation Averaging


HARMONIOUS -- Human-like reactive motion control and multimodal perception for humanoid robots


HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification


HDDL 2.1: Towards Defining an HTN Formalism with Time


HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset


HEBS: Histogram Equalization for Backlight Scaling


HEMELB Acceleration and Visualization for Cerebral Aneurysms


HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation


HENet: Forcing a Network to Think More for Font Recognition


HEPData: a repository for high energy physics data


HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation


HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework


HI4PI: A full-sky HI survey based on EBHIS and GASS


HIJING 1.0: A Monte Carlo Program for Parton and Particle Production in High Energy Hadronic and Nuclear Collisions


HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE


HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative perception with vision transformer


HNHN: Hypergraph Networks with Hyperedge Neurons


HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans


HOPPER: Interpretative Fuzzing for Libraries


HOnnotate: A method for 3D Annotation of Hand and Object Poses


HPERL: 3D Human Pose Estimation from RGB and LiDAR


HPIPE: Heterogeneous Layer-Pipelined and Sparse-Aware CNN Inference for FPGAs


HQC-RMRS, an instantiation of the HQC encryption framework with a more efficient auxiliary error-correcting code


HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators


HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area Surveillance


HTML5 MSE Playback of MPEG 360 VR Tiled Streaming


HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving


HUMBI: A Large Multiview Dataset of Human Body Expressions


Habitable Zones Around Main-Sequence Stars: New Estimates


Hadronic light-by-light contribution to $(g-2)_\mu$ from lattice QCD with SU(3) flavor symmetry


Hair-GANs: Recovering 3D Hair Structure from a Single Image


HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling


Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation


Hallucinated Neural Radiance Fields in the Wild


Hallucinating robots: Inferring Obstacle Distances from Partial Laser Measurements


Hamiltonian Dynamics for Real-World Shape Interpolation


Hamiltonian Monte Carlo for Probabilistic Programs with Discontinuities


Hamiltonian operator for spectral shape analysis


Hand-waving and Interpretive Dance: An Introductory Course on Tensor Networks


HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation


Handling Divergent Reference Texts when Evaluating Table-to-Text Generation


Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits


Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks


Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter


HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS


Hard Non-Monotonic Attention for Character-Level Transduction


Hardware Security Evaluation of MAX 10 FPGA


Hardware for Machine Learning: Challenges and Opportunities


Hardware-Efficient Attention for Fast Decoding


Hardware-Rasterized Ray-Based Gaussian Splatting


Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19


Hardware-efficient entangled measurements for variational quantum algorithms


Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery


Harmonic Networks: Deep Translation and Rotation Equivariance


Harmonious Attention Network for Person Re-Identification


Harmonizing the object recognition strategies of deep neural networks with humans


Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images


Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies


Harnessing Deep Neural Networks with Logic Rules


Harnessing the power of Topological Data Analysis to detect change points in time series


Hashing Beam Training for Near-Field Communications


Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model


Head/tail Breaks: A New Classification Scheme for Data with a Heavy-tailed Distribution


Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners


Hearing the shape of an arena with spectral swarm robotics


Heart Disease Prediction System using Associative Classification and Genetic Algorithm


Heart Rate Estimation from Ballistocardiography Based on Hilbert Transform and Phase Vocoder


HeartBEAT: Heart Beat Estimation through Adaptive Tracking


Heavy Vector Triplets: Bridging Theory and Data


HellaSwag: Can a Machine Really Finish Your Sentence?


HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs


Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer


Heterogeneity for the Win: One-Shot Federated Clustering


Heterogeneity in susceptibility dictates the order of epidemiological models


Heterogeneous Graph Neural Networks for Malicious Account Detection


Heterogeneous Hypergraph Embedding for Recommendation Systems


Heterogeneous Information Network Embedding for Recommendation


Heterogeneous Interventions Reduce the Spread of COVID-19 in Simulations on Real Mobility Data


Heterogeneous Multi-Rate mass transfer models in OpenFOAM


Heterogeneous Quantum Computing for Satellite Constellation Optimization: Solving the Weighted K-Clique Problem


Heterogeneous graph neural network for power allocation in multicarrier-division duplex cell-free massive MIMO systems


HeunNet: Extending ResNet using Heun's Methods


Heuristic Black-box Adversarial Attacks on Video Recognition Models


Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble


HiCM$^2$: Hierarchical Compact Memory Modeling for Dense Video Captioning


HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis


HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks


HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis


HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance


HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation


Hidden Treasures: sterile neutrinos as dark matter with miraculous abundance, structure formation for different production mechanisms, and a solution to the sigma-8 problem


Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection


Hiding Images in Diffusion Models by Editing Learned Score Functions


HierVL: Learning Hierarchical Video-Language Embeddings


Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles


Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction


Hierarchical Bayesian CMB Component Separation with the No-U-Turn Sampler


Hierarchical Bayesian inference of galaxy redshift distributions from photometric surveys


Hierarchical Bond Graph Modelling of Biochemical Networks


Hierarchical Character-Word Models for Language Identification


Hierarchical Control in Islanded DC Microgrids with Flexible Structures


Hierarchical Deep Multi-modal Network for Medical Visual Question Answering


Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning


Hierarchical Optimal Transport for Document Representation


Hierarchical Optimal Transport for Unsupervised Domain Adaptation


Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection


Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies


Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards


Hierarchical Spatial-aware Siamese Network for Thermal Infrared Object Tracking


Hierarchical Text-Conditional Image Generation with CLIP Latents


Hierarchical Transformers for Long Document Classification


Hierarchical Tree-structured Knowledge Graph For Academic Insight Survey


Hierarchical infinite factor model for improving the prediction of surgical complications for geriatric patients


Hierarchically modelling Kepler dwarfs and subgiants to improve inference of stellar properties with asteroseismology


Higgs production in association with bottom quarks


Higgs production in bottom-quark fusion to third order in the strong coupling


HiggsBounds-5: Testing Higgs Sectors in the LHC 13 TeV Era


High Fidelity Speech Enhancement with Band-split RNN


High Performance Solution of Skew-symmetric Eigenvalue Problems with Applications in Solving the Bethe-Salpeter Eigenvalue Problem


High Quality Degree Based Heuristics for the Influence Maximization Problem


High Speed and High Dynamic Range Video with an Event Camera


High order direct parametrisation of invariant manifolds for model order reduction of finite element structures: application to large amplitude vibrations and uncovering of a folding point


High performance Python for direct numerical simulations of turbulent flows


High precision grasp pose detection in dense clutter


High-Dimensional Gaussian Process Inference with Derivatives


High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization


High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation


High-Fidelity Neural Human Motion Transfer from Monocular Video


High-Fidelity Single-Shot Toffoli Gate via Quantum Control


High-Frequency Trading on Decentralized On-Chain Exchanges


High-Level Representation of Benchmark Families for Petri Games


High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity


High-Quality Face Image SR Using Conditional Generative Adversarial Networks


High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach


High-Quality Self-Supervised Deep Image Denoising


High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis


High-dimensional Gaussian graphical model for network-linked data


High-dimensional MANOVA via Bootstrapping and its Application to Functional and Sparse Count Data


High-energy coherent X-ray diffraction microscopy of polycrystal grains: first steps towards a multi-scale approach


High-level Approaches to Detect Malicious Political Activity on Twitter


High-order structure preserving graph neural network for few-shot learning


High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation


High-performance sparse matrix-matrix products on Intel KNL and multicore architectures


High-resolution of particle contacts via fluorophore exclusion in deep-imaging of jammed colloidal packings


High-threshold and low-overhead fault-tolerant quantum memory


HighEr-Resolution Network for Image Demosaicing and Enhancing


Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data


Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method


Higher-Order Quantum Reservoir Computing


Higher-Order Total Directional Variation. Part I: Imaging Applications


Higher-Order, Data-Parallel Structured Deduction


Higher-derivative corrections to the Kerr quasinormal mode spectrum


Higher-order Topological Parity Anomaly and Half-integer Hall Effect in High-dimensional Synthetic Lattices


Highlighting objects of interest in an image by integrating saliency and depth


Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment


HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models


History Aware Multimodal Transformer for Vision-and-Language Navigation


HittER: Hierarchical Transformers for Knowledge Graph Embeddings


HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving


HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures


Holistic 3D Human and Scene Mesh Estimation from Single View Images


Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image


Holistic Specifications for Robust Programs


HoloDetect: Few-Shot Learning for Error Detection


Holographic Models for QCD in the Veneziano Limit


Homography from two orientation- and scale-covariant features


Homologies of path complexes and digraphs


Homomorphic Payment Addresses and the Pay-to-Contract Protocol


Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering


Homotopy-initial algebras in type theory


HoneyBee: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning


Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting


HopTrack: A Real-time Multi-Object Tracking System for Embedded Devices


Hot Jupiter and ultra-cold Saturn formation in dense star clusters


Hot-Starting the Ac Power Flow with Convolutional Neural Networks


HotFlip: White-Box Adversarial Examples for Text Classification


HoughNet: Integrating near and long-range evidence for visual detection


House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation


How Agile is the Adaptive Data Rate Mechanism of LoRaWAN?


How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?


How Can We Be So Dense? The Benefits of Using Highly Sparse Representations


How Content Volume on Landing Pages Influences Consumer Behavior


How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings


How FaR Are Large Language Models From Agents with Theory-of-Mind?


How Important is Importance Sampling for Deep Budgeted Training?


How Many Topics? Stability Analysis for Topic Models


How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI


How Much Position Information Do Convolutional Neural Networks Encode?


How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?


How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities


How Robust are Limit Order Book Representations under Data Perturbation?


How Well Do Sparse Imagenet Models Transfer?


How recurrent networks implement contextual processing in sentiment analysis


How robust are Structural Equation Models to model miss-specification? A simulation study


How to Compute Invariant Manifolds and their Reduced Dynamics in High-Dimensional Finite-Element Models


How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead


How to Hire Secretaries with Stochastic Departures


How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?


How to Learn when Data Reacts to Your Model: Performative Gradient Descent


How to Make an Image More Memorable? A Deep Style Transfer Approach


How to avoid machine learning pitfalls: a guide for academic researchers


How to cheat with metrics in single-image HDR reconstruction


How to learn a graph from smooth signals


How to marry a star: probabilistic constraints for meaning in context


How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning


How transferable are features in deep neural networks?


How well do LLMs cite relevant medical references? An evaluation framework and analyses


HuBERT-EE: Early Exiting HuBERT for Efficient Speech Recognition


HuSc3D: Human Sculpture dataset for 3D object reconstruction


Hudson's Theorem for finite-dimensional quantum systems


HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crisis Response


Human Activity Recognition with Convolutional Neural Netowrks


Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs


Human Gait Database for Normal Walk Collected by Smartphone Accelerometer


Human Hands as Probes for Interactive Object Understanding


Human Keypoint Detection by Progressive Context Refinement


Human Performance Modeling and Rendering via Neural Animated Mesh


Human Segmentation with Dynamic LiDAR Data


Human Trajectory Forecasting in Crowds: A Deep Learning Perspective


Human-competitive Patches in Automatic Program Repair with Repairnator


Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving


Human-like Clustering with Deep Convolutional Neural Networks


HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences


HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition


Hunting for Discriminatory Proxies in Linear Regression Models


Hunting for Re-Entrancy Attacks in Ethereum Smart Contracts via Static Analysis


Huruf: An Application for Arabic Handwritten Character Recognition Using Deep Learning


Hybrid Classification and Reasoning for Image-based Constraint Solving


Hybrid Deep Network for Anomaly Detection


Hybrid Federated Learning: Algorithms and Implementation


Hybrid Isolation Forest - Application to Intrusion Detection


Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries


Hybrid Machine Learning Forecasts for the UEFA EURO 2020


Hybrid Models with Deep and Invertible Features


Hybrid Network- and User-Centric Scalable Cell-Free Massive MIMO for Fronthaul Signaling Minimization


Hybrid Recommender Systems: A Systematic Literature Review


Hybrid Reward Architecture for Reinforcement Learning


Hybrid Style Siamese Network: Incorporating style loss in complementary apparels retrieval


Hybrid Supervision Learning for Pathology Whole Slide Image Classification


Hybrid Task Cascade for Instance Segmentation


Hybrid Transformers for Music Source Separation


Hybrid multilane models for highway traffic


HybridFlow: A Flexible and Efficient RLHF Framework


HybridNets: End-to-End Perception Network


Hydra: A Peer to Peer Distributed Training & Data Collection Framework


Hydrodynamic coupling for particle-based solvent-free membrane models


Hydrodynamically interrupted droplet growth in scalar active matter


Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning


HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation


HyperGAN: A Generative Model for Diverse, Performant Neural Networks


Hyperbolic Fracton Model, Subsystem Symmetry, and Holography


Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering


Hypercolumns for Object Segmentation and Fine-grained Localization


Hypercube LSH for approximate near neighbors


Hypernetwork Science: From Multidimensional Networks to Computational Topology


Hyperparameter Importance Across Datasets


Hyperparameter Learning via Distributional Transfer


Hyperparameter Optimization as a Service on INFN Cloud


Hyperparameters and Tuning Strategies for Random Forest


Hyperspectral Image Classification with Attention Aided CNNs


I Don't Need u: Identifiable Non-Linear ICA Without Side Information


I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews


I$^2$-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs


I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images


I3D: Transformer architectures with input-dependent dynamic depth for speech recognition


I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors


IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation


IAI MovieBot: A Conversational Movie Recommender System


IBRNet: Learning Multi-View Image-Based Rendering


ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models


ICface: Interpretable and Controllable Face Reenactment Using GANs


IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis


IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models


IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding


IDEBench: A Benchmark for Interactive Data Exploration


IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID


IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines


IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound


IGLOO: Slicing the Features Space to Represent Sequences


IGM Transmission Bias for $z$ $\geq$ 2.9 Lyman Continuum Detected Galaxies


IIRC: Incremental Implicitly-Refined Classification


IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks


ILIAS: Instance-Level Image retrieval At Scale


ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement


ILP-based Local Search for Graph Partitioning


IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network


INFER: INtermediate representations for FuturE pRediction


IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models


IPLS : A Framework for Decentralized Federated Learning


IQ-VQA: Intelligent Visual Question Answering


IQA: Interactive Query Construction in Semantic Question Answering Systems


IRLAS: Inverse Reinforcement Learning for Architecture Search


IRLS and Slime Mold: Equivalence and Convergence


IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation


IROF: a low resource evaluation metric for explanation methods


ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising


ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing


ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes


ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks


IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet


IceCube Data for Neutrino Point-Source Searches Years 2008-2018


IceCube Sensitivity for Low-Energy Neutrinos from Nearby Supernovae


IdeaBench: Benchmarking Large Language Models for Research Idea Generation


Identifiability of Hierarchical Latent Attribute Models


Identification and correction of sample mix-ups in expression genetic data: A case study


Identification of Incomplete Preferences


Identification of Port-Hamiltonian Systems from Frequency Response Data


Identifying Distributional Perspective Differences from Colingual Groups


Identifying Hierarchical Structure in Sequences: A linear-time algorithm


Identifying Latent Stochastic Differential Equations


Identifying Learning Rules From Neural Network Observables


Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising


Identifying Well-formed Natural Language Questions


Identifying and Predicting Parkinson's Disease Subtypes through Trajectory Clustering via Bipartite Networks


Identifying main effects and interactions among exposures using Gaussian processes


Identifying networks with common organizational principles


Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge


Identifying the latent space geometry of network models through analysis of curvature


Identifying through Flows for Recovering Latent Representations


Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models


If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN


If your P value looks too good to be true, it probably is: Communicating reproducibility and variability in cell biology


Illuminating an Ecosystem of Partisan Websites


Illumination-Based Data Augmentation for Robust Background Subtraction


Im-Promptu: In-Context Composition from Image Prompts


Im2Avatar: Colorful 3D Reconstruction from a Single Image


Im2Pencil: Controllable Pencil Illustration from Photographs


ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection


Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels


Image Based Camera Localization: an Overview


Image Captioning using Deep Neural Architectures


Image Captioning with Attention for Smart Local Tourism using EfficientNet


Image Chat: Engaging Grounded Conversations


Image Classification by Reinforcement Learning with Two-State Q-Learning


Image Classification with Classic and Deep Learning Techniques


Image Classification with Hierarchical Multigraph Networks


Image Compositing for Segmentation of Surgical Tools without Manual Annotations


Image Dehazing via Joint Estimation of Transmittance Map and Environmental Illumination


Image Demoireing with Learnable Bandpass Filters


Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)


Image Fusion via Sparse Regularization with Non-Convex Penalties


Image Generation from Sketch Constraint Using Contextual GAN


Image Quality Assessment and Color Difference


Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction


Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections


Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras


Image Segmentation using Sparse Subset Selection


Image Super-Resolution Using a Wavelet-based Generative Adversarial Network


Image Super-Resolution via Dual-State Recurrent Networks


Image Super-Resolution via Iterative Refinement


Image Synthesis From Reconfigurable Layout and Style


Image Synthesis with a Single (Robust) Classifier


Image reconstruction by domain transform manifold learning


Image similarity using Deep CNN and Curriculum Learning


Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification


Image2Mesh: A Learning Framework for Single Image 3D Reconstruction


Image2StyleGAN++: How to Edit the Embedded Images?


ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation


ImagiFilter: A resource to enable the semi-automatic mining of images at scale


Imaging Mechanism for Hyperspectral Scanning Probe Microscopy via Gaussian Process Modelling


Imaging Time-Series to Improve Classification and Imputation


Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation


Imbalance measure and proactive channel rebalancing algorithm for the Lightning Network


Imbalanced Image Classification with Complement Cross Entropy


Imfit: A Fast, Flexible New Program for Astronomical Image Fitting


Imitation Learning from Observation with Automatic Discount Scheduling


Immaculate line bundles on toric varieties


Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment


Impact Excitation of a Seismic Pulse and Vibrational Normal Modes on Asteroid Bennu and Associated Slumping of Regolith


Impact of Contingent Payments on Systemic Risk in Financial Networks


Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions


Impact of Tokenization on LLaMa Russian Adaptation


Impact of urban structure on infectious disease spreading


Imperceptible Adversarial Attacks on Tabular Data


Imperfect fifths pack into musical scales


Implementation of Kalman Filter with Python Language


Implementation of a quantum algorithm to solve Bernstein-Vazirani's parity problem without entanglement on an ensemble quantum computer


Implementation of the VBM3D Video Denoising Method and Some Variants


Implementation of the left-right symmetric model in FeynRules


Implementing Bayesian predictive procedures: The K-prime and K-square distributions


Implementing Noise with Hash functions for Graphics Processing Units


Implementing version control with Git and GitHub as a learning objective in statistics and data science courses


Implicit Bias-Like Patterns in Reasoning Models


Implicit Feature Networks for Texture Completion from Partial 3D Data


Implicit Media Tagging and Affect Prediction from video of spontaneous facial expressions, recorded with depth camera


Implicit Motion Handling for Video Camouflaged Object Detection


Implicit Profiling Estimation for Semiparametric Models with Bundled Parameters


Implicit Regularization in ReLU Networks with the Square Loss


Implicit Style-Content Separation using B-LoRA


Importance Driven Continual Learning for Segmentation Across Domains


Importance Weighted Hierarchical Variational Inference


Importance of Amplifier Physics in Maximizing the Capacity of Submarine Links


Importance of Search and Evaluation Strategies in Neural Dialogue Modeling


Impression-CLIP: Contrastive Shape-Impression Embedding for Fonts


Imprints of white dwarf recoil in the separation distribution of Gaia wide binaries


Improve Long-term Memory Learning Through Rescaling the Error Temporally


Improved Code Summarization via a Graph Neural Network


Improved Conditional VRNNs for Video Prediction


Improved Consistent Weighted Sampling Revisited


Improved Densification of One Permutation Hashing


Improved Diffusion-based Image Colorization via Piggybacked Models


Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning


Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering


Improved Heterogeneous Distance Functions


Improved Image Captioning via Policy Gradient optimization of SPIDEr


Improved Modeling of 3D Shapes with Multi-view Depth Maps


Improved Monte Carlo Glauber predictions at present and future nuclear colliders


Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction


Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID


Improved Schemes for Episodic Memory-based Lifelong Learning


Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation


Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering


Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threads


Improved Techniques for Training Consistency Models


Improved Variational Autoencoders for Text Modeling using Dilated Convolutions


Improved Visual-Spatial Reasoning via R1-Zero-Like Training


Improved YOLOv5 network for real-time multi-scale traffic sign detection


Improved classical simulation of quantum circuits dominated by Clifford gates


Improved detection of small atom numbers through image processing


Improved estimate of the cross section for inverse beta decay


Improved identification accuracy in equation learning via comprehensive $\boldsymbol{R^2}$-elimination and Bayesian model selection


Improved low-count quantitative PET reconstruction with an iterative neural network


Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning


Improving Adversarial Transferability with Gradient Refining


Improving Automatic Jazz Melody Generation by Transfer Learning Techniques


Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation


Improving BERT with Self-Supervised Attention


Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network


Improving Continuous-time Conflict Based Search


Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication


Improving DNN-based Music Source Separation using Phase Features


Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention


Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power using deep convolutional neural networks


Improving GAN Equilibrium by Raising Spatial Awareness


Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences


Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance


Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling


Improving Inference for Neural Image Compression


Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning


Improving Information Retrieval Results for Persian Documents using FarsNet


Improving Language Generation with Sentence Coherence Objective


Improving Machine Hearing on Limited Data Sets


Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback


Improving Multi-turn Dialogue Modelling with Utterance ReWriter


Improving NER's Performance with Massive financial corpus


Improving Object Detection with Inverted Attention


Improving Polyphonic Music Models with Feature-Rich Encoding


Improving Quadrature for Constrained Integrands


Improving RNN Transducer Modeling for End-to-End Speech Recognition


Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination


Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation


Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network


Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning


Improving Shadow Suppression for Illumination Robust Face Recognition


Improving Social Awareness Through DANTE: A Deep Affinity Network for Clustering Conversational Interactants


Improving Source Extraction with Diffusion and Consistency Models


Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models


Improving Statistical Sensitivity of X-ray Searches for Axion-Like Particles


Improving Students' Academic Performance with AI and Semantic Technologies


Improving TSP Solutions Using GA with a New Hybrid Mutation Based on Knowledge and Randomness


Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation


Improving Text Embeddings with Large Language Models


Improving Text Proposals for Scene Images with Fully Convolutional Networks


Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images


Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications


Improving Variational Quantum Optimization using CVaR


Improving Visual Representation Learning through Perceptual Understanding


Improving Voice Separation by Incorporating End-to-end Speech Recognition


Improving Zero-Shot Translation of Low-Resource Languages


Improving accuracy and speeding up Document Image Classification through parallel systems


Improving evidential deep learning via multi-task learning


Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis


Improving the Fairness of Deep Generative Models without Retraining


Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification


Improving the Gating Mechanism of Recurrent Neural Networks


Improving the Inclusivity of Dutch Speech Recognition by Fine-tuning Whisper on the JASMIN-CGN Corpus


Improving the Interpretability of fMRI Decoding using Deep Neural Networks and Adversarial Robustness


Improving the Performance of K-Means for Color Quantization


Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training


Improving the Representation and Conversion of Mathematical Formulae by Considering their Textual Context


Improving the Security of Smartwatch Payment with Deep Learning


Improving the Transformer Translation Model with Document-Level Context


Improving trial generalizability using observational studies


Improving zero-shot learning by mitigating the hubness problem


ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation


Imputer: Sequence Modelling via Imputation and Dynamic Programming


In Defense of Classical Image Processing: Fast Depth Completion on the CPU


In Defense of Grid Features for Visual Question Answering


In Search of a Dataset for Handwritten Optical Music Recognition: Introducing MUSCIMA++


In Search of a Fast and Efficient Serverless DAG Engine


In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling


In the Saddle: Chasing Fast and Repeatable Features


In-Context Principle Learning from Mistakes


In-Hand Object-Dynamics Inference using Tactile Fingertips


In-N-Out: Towards Good Initialization for Inpainting and Outpainting


In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning


In-context Continual Learning Assisted by an External Continual Learner


In-context Examples Selection for Machine Translation


In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization


In-vivo high-resolution χ-separation at 7T


In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks


InLoc: Indoor Visual Localization with Dense Matching and View Synthesis


InScope: A New Real-world 3D Infrastructure-side Collaborative Perception Dataset for Open Traffic Scenarios


InViG: Benchmarking Interactive Visual Grounding with 500K Human-Robot Interactions


Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models


Inception Convolution with Efficient Dilation Search


Inception Recurrent Convolutional Neural Network for Object Recognition


Inception-inspired LSTM for Next-frame Video Prediction


Incomplete Preferences in Single-Peaked Electorates


Inconsistent Surface Registration via Optimization of Mapping Distortions


Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks


Incorporating Sememes into Chinese Definition Modeling


Increasing performance of electric vehicles in ride-hailing services using deep reinforcement learning


Increasing the Action Gap: New Operators for Reinforcement Learning


Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System


Incremental Learning Techniques for Semantic Segmentation


Incremental Learning of Event Definitions with Inductive Logic Programming


Incremental Learning of Object Detectors without Catastrophic Forgetting


Incremental Skip-gram Model with Negative Sampling


Incremental Task Learning with Incremental Rank Updates


Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding


Incremental Unsupervised Domain-Adversarial Training of Neural Networks


Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples


Incrementally Improving Graph WaveNet Performance on Traffic Prediction


Indexing the Sphere with the Hierarchical Triangular Mesh


Indian Buffet process for model selection in convolved multiple-output Gaussian processes


Indirect Local Attacks for Context-aware Semantic Segmentation Networks


Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts


Individual Data Protected Integrative Regression Analysis of High-dimensional Heterogeneous Data


Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora


Induction Networks for Few-Shot Text Classification


Inductive Learning on Commonsense Knowledge Graph Completion


Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions


Inertial Odometry on Handheld Smartphones


Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices


Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization


Inexact Tensor Methods with Dynamic Accuracies


Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction


Infeasibility detection with primal-dual hybrid gradient for large-scale linear programming


Infections and Identified Cases of COVID-19 from Random Testing Data


InferLine: ML Inference Pipeline Composition Framework


Inference Compilation and Universal Probabilistic Programming


Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models


Inference Time Optimization Using BranchyNet Partitioning


Inference for the stochastic block model with unknown number of blocks and non-conjugate edge models


Inference in Probabilistic Graphical Models by Graph Neural Networks


Inference in Regression Discontinuity Designs with High-Dimensional Covariates


Inference in generalized bilinear models


Inference on the Sharpe ratio via the upsilon distribution


Inference with selection, varying population size and evolving population structure: Application of ABC to a forward-backward coalescent process with interactions


Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search


Inferring Manifolds From Noisy Data Using Gaussian Processes


Inferring Point Cloud Quality via Graph Similarity


Inferring binary and trinary stellar populations in photometric and astrometric surveys


Inferring monopartite projections of bipartite networks: an entropy-based approach


Inferring oscillator's phase and amplitude response from a scalar signal exploiting test stimulation


Inferring properties of the local white dwarf population in astrometric and photometric surveys


Inferring solar differential rotation through normal-mode coupling using Bayesian statistics


Inferring transportation modes from GPS trajectories using a convolutional neural network


InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management


InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure


Infinite Diameter Confidence Sets in Hedges' Publication Bias Model


Infinite Lattices of Vortex Molecules in Rabi-Coupled Condensates


Inflation and Early Dark Energy with a Stage II Hydrogen Intensity Mapping Experiment


Inflationary Constant Factors and Why Python is Faster Than C++


Influence of parallel computing strategies of iterative imputation of missing data: a case study on missForest


Influence of the source arrangement on shell growth around GaN nanowires in molecular beam epitaxy


Influence-Directed Explanations for Deep Convolutional Networks


Influence-aware Memory Architectures for Deep Reinforcement Learning


InfoCGAN Classification of 2-Dimensional Square Ising Configurations


InfoCatVAE: Representation Learning with Categorical Variational Autoencoders


InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training


Information Diffusion Prediction with Latent Factor Disentanglement


Information Dropout: Learning Optimal Representations Through Noisy Computation


Information Flow in Self-Supervised Learning


Information Gains from Cosmic Microwave Background Experiments


Information Overload in Group Communication: From Conversation to Cacophony in the Twitch Chat


Information Theoretic Regret Bounds for Online Nonlinear Control


Information access representations and social capital in networks


Information in Infinite Ensembles of Infinitely-Wide Neural Networks


Information topology identifies emergent model classes


Information-Theoretic Understanding of Population Risk Improvement with Model Compression


Informative core identification in complex networks


Informative extended Mallows priors in the Bayesian Mallows model


Informed Greedy Algorithm for Scalable Bayesian Network Fusion via Minimum Cut Analysis


Informed RRT*: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal Heuristic


Informetric Analyses of Knowledge Organization Systems (KOSs)


Inhibiting phase drift in multi-atom clocks using the quantum Zeno effect


Initialization of Self-Organizing Maps: Principal Components Versus Random Initialization. A Case Study


Injecting Numerical Reasoning Skills into Knowledge Base Question Answering Models


Input Dropout for Spatially Aligned Modalities


Input Perturbation: A New Paradigm between Central and Local Differential Privacy


Input-Output Stability of Barrier-Based Model Predictive Control


Insights From the NeurIPS 2021 NetHack Challenge