Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions


Detecting the inner regions of discs around sources of microlensing with Roman Space Telescope


Detecting, identifying, and localizing radiological material in urban environments using scan statistics


Detection as Regression: Certified Object Detection by Median Smoothing


Detection of Abrupt Change in Channel Covariance Matrix for Multi-Antenna Communication


Detection of Bangla Fake News using MNB and SVM Classifier


Detection of Deep Network Generated Images Using Disparities in Color Components


Detection of Hard Exudates in Retinal Fundus Images using Deep Learning


Detection of a Disk Surrounding the Variably Accreting Young Star HBC722


Detection of a Westward Hotspot Offset in the Atmosphere of a Hot Gas Giant CoRoT-2b


Detection of copy-move forgery in digital images based on DCT


Detection of healthy and diseased crops in drone captured images using Deep Learning


Detection of satellite remnants in the Galactic Halo with Gaia III. Detection limits for Ultra Faint Dwarf Galaxies


Detection of the Schwarzschild precession in the orbit of the star S2 near the Galactic centre massive black hole


Detection of two bright FRB-like radio bursts from magnetar SGR 1935+2154 during a multi-frequency monitoring campaign


Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider


Determinantal thinning of point processes with network learning applications


Determining monotonic step-equal sequences of any limited length in the Collatz problem


Deterministic Dispersion of Mobile Robots in Dynamic Rings


Deterministic Iteratively Built KD-Tree with KNN Search for Exact Applications


Deterministic Primality Proving on Proth Numbers


Deterministic limit of temporal difference reinforcement learning for stochastic games


Developing FB Chatbot Based on Deep Learning Using RASA Framework for University Enquiries


Development and Evaluation of Ensemble Learning-based Environmental Methane Detection and Intensity Prediction Models


Development and analysis of a Bayesian water balance model for large lake systems


Development and verification of a simulation for leveraging results of a human subjects programming experiment


Development of a technology for the fabrication of Low-Gain Avalanche Detectors at BNL


Deviations of the Energy-Momentum Tensor from Equilibrium in the Initial State for Hydrodynamics from Transport Approaches


Device Placement Optimization with Reinforcement Learning


Device-to-Device Load Balancing for Cellular Networks


Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations


DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation


DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain


DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting


DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation


DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors


Diagnosing Bottlenecks in Deep Q-learning Algorithms


Diagnosing Glaucoma Progression with Visual Field Data Using a Spatiotemporal Boundary Detection Method


Diagnosing and Mitigating Modality Interference in Multimodal Large Language Models


Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems


Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation


Diagonal Discriminant Analysis with Feature Selection for High Dimensional Data


DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances


Dialogue Act Classification with Context-Aware Self-Attention


Dialogue Act Sequence Labeling using Hierarchical encoder with CRF


Dialogue Learning With Human-In-The-Loop


Dichotomic Pattern Mining with Applications to Intent Prediction from Semi-Structured Clickstream Datasets


Dictionary Learning with BLOTLESS Update


Did I do that? Blame as a means to identify controlled effects in reinforcement learning


Dielectron Mass Spectra from Au+Au Collisions at $\sqrt{s_{\rm NN}}$ = 200 GeV


Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models


Diff-GO$^\text{n}$: Enhancing Diffusion Models for Goal-Oriented Communications


DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling


DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing


DiffPO: A causal diffusion model for learning distributions of potential outcomes


DiffRhythm: Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation with Latent Diffusion


Difference-in-Differences with a Continuous Treatment


Differences in Chinese and Western tourists faced with Japanese hospitality: A natural language processing approach


Differentiable Compositional Kernel Learning for Gaussian Processes


Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models


Differentiable Grey-box Modelling of Phaser Effects using Frame-based Spectral Processing


Differentiable Physics-informed Graph Networks


Differentiable Reasoning over a Virtual Knowledge Base


Differentiable Weighted Finite-State Transducers


Differential Dynamic Microscopy to characterize Brownian motion and bacteria motility


Differential Viewpoints for Ground Terrain Material Recognition


Differentially Private Bayesian Inference for Exponential Families


Differentially Private Bayesian Linear Regression


Differentially Private Graph Classification with GNNs


Differentially Private M-band Wavelet-Based Mechanisms in Machine Learning Environments


Differentially Private Random Decision Forests using Smooth Sensitivity


Differentially Private SQL with Bounded User Contribution


Differentially Private Variational Inference for Non-conjugate Models


Differentiation of Blackbox Combinatorial Solvers


Diffsound: Discrete Diffusion Model for Text-to-sound Generation


Diffused Redundancy in Pre-trained Representations


Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion


Diffusion Model Alignment Using Direct Preference Optimization


Diffusion Policy: Visuomotor Policy Learning via Action Diffusion


Diffusion Self-Guidance for Controllable Image Generation


Diffusion Source Identification on Networks with Statistical Confidence


Diffusion model for relational inference


Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling


Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision


Diffusion-Based Coarse Graining in Hybrid Continuum-Discrete Solvers: Applications in CFD-DEM


Diffusion-Based Planning for Autonomous Driving with Flexible Guidance


Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following


Diffusion-based Generative Speech Source Separation


DiffusionSat: A Generative Foundation Model for Satellite Imagery


Digging Deeper for New Physics in the LHC Data


Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion


DigiVoice: Voice Biomarker Featurization and Analysis Pipeline


Digital video microscopy enhanced by deep learning


Dijkstra meets Steiner: a fast exact goal-oriented Steiner tree algorithm


Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds


Dimensionality Reduction for Binary Data through the Projection of Natural Parameters


Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds


Dimensionality's Blessing: Clustering Images by Underlying Distribution


Dimensionality-Driven Learning with Noisy Labels


Dinucleotide repeats in coronavirus SARS-CoV-2 genome: evolutionary implications


Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models


Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network


Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness Guarantees


Direct Laser Cooling of a Symmetric Top Molecule


Direct Measurement of the Forbidden $2^{3\!}S_1 \rightarrow 3^{3\!}S_1$ Atomic Transition in Helium


Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder


Direct evaluation of rare events in active matter from variational path sampling


Direct loss minimization algorithms for sparse Gaussian processes


Direct prediction of phonon density of states with Euclidean neural network


Direct speech-to-speech translation with a sequence-to-sequence model


Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention


Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer


Direction-Projection-Permutation for High Dimensional Hypothesis Tests


Directional Message Passing for Molecular Graphs


Dirichlet Energy Constrained Learning for Deep Graph Neural Networks


DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces


DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking


Disagreement percolation for the hard-sphere model


Disambiguating the role of noise correlations when decoding neural populations together


DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion


Disconnected Manifold Learning for Generative Adversarial Networks


Discontinuity-Sensitive Optimal Control Learning by Mixture of Experts


Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods


Discontinuous epidemic transition due to limited testing


Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data


Discovering Domain Orders through Order Dependencies


Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models


Discovering State Variables Hidden in Experimental Data


Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning


Discovering conservation laws from trajectories via machine learning


Discovering patterns of online popularity from time series


Discovering sparse control strategies in C. elegans


Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning


Discovery of Physics from Data: Universal Laws and Discrepancies


Discovery of Six Optical Phase Curves with K2


Discovery of a close-separation binary quasar at the heart of a z~0.2 merging galaxy and its implications for low-frequency gravitational waves


Discovery of an Ultra-Faint Stellar System near the Magellanic Clouds with the DECam Local Volume Exploration (DELVE) Survey


Discrete Argument Representation Learning for Interactive Argument Pair Identification


Discrete Autoencoders for Sequence Models


Discrete Cosserat Approach for Multi-Section Soft Robots Dynamics


Discrete Exterior Geometry Approach to Structure-Preserving Discretization of Distributed-Parameter Port-Hamiltonian Systems


Discrete Flows: Invertible Generative Models of Discrete Data


Discrete Math with Programming: A Principled Approach


Discrete Modeling of Multi-Transmitter Neural Networks with Neuron Competition


Discrete Representations Strengthen Vision Transformer Robustness


Discrete and Continuous Action Representation for Practical RL in Video Games


Discrete logarithms in quasi-polynomial time in finite fields of fixed characteristic


Discretising the velocity distribution for directional dark matter experiments


Discretization of the Koch Snowflake Domain with Boundary and Interior Energies


Discriminative Feature Learning for Unsupervised Video Summarization


Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation


Discriminative Mutual Information Estimators for Channel Capacity Learning


Discriminative Regularization for Generative Models


Discriminative Residual Analysis for Image Set Classification with Posture and Age Variations


Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks


Disentangle-based Continual Graph Representation Learning


Disentangled Image Generation Through Structured Noise Injection


Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement


Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)


Disentangling Adaptive Gradient Methods from Learning Rates


Disentangling Content and Style via Unsupervised Geometry Distillation


Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions


Disentangling Propagation and Generation for Video Prediction


Disinformation and Misinformation on Twitter during the Novel Coronavirus Outbreak


Disjoint principal component analysis by constrained binary particle swarm optimization


Disjunctive linear separation conditions and mixed-integer formulations for aircraft conflict resolution


Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting


Disruptive RIS for Enhancing Key Generation and Secret Transmission in Low-Entropy Environments


Dissecting GPU Memory Hierarchy through Microbenchmarking


Dissecting Multifractal detrended cross-correlation analysis


Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability


Distance Weighted Supervised Learning for Offline Interaction Data


Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models


DistancePPG: Robust non-contact vital signs monitoring using a camera


Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling


Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation


Distillation Guided Residual Learning for Binary Convolutional Neural Networks


Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks


Distilling Dense Representations for Ranking using Tightly-Coupled Teachers


Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models


Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation


Distilling Virtual Examples for Long-tailed Recognition


Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading


Distinguishing Unitary Gates on the IBM Quantum Processor


Distributed Attack-Resilient Platooning Against False Data Injection


Distributed Attribute-Based Access Control System Using a Permissioned Blockchain


Distributed Community Detection with the WCC Metric


Distributed Continuous-Time Optimization with Time-Varying Objective Functions and Inequality Constraints


Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors


Distributed Edge Partitioning for Trillion-edge Graphs


Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems


Distributed Mapping with Privacy and Communication Constraints: Lightweight Algorithms and Object-based Models


Distributed Matrix Factorization using Asynchrounous Communication


Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers


Distributed Proportional-Fairness Control in MicroGrids via Blockchain Smart Contracts


Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach


Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning


Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks


Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet


Distributing Persistent Homology via Spectral Sequences


Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation


Distribution-Free Pointwise Adjusted P-Values for Functional Hypotheses


Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors


Distributional bias compromises leave-one-out cross-validation


Distributionally Robust Formulation and Model Selection for the Graphical Lasso


Distributionally Robust Optimization and Generalization in Kernel Methods


DisturbLabel: Regularizing CNN on the Loss Layer


Dive into Time-Series Anomaly Detection: A Decade Review


Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model


Divergence of predictive model output as indication of phase transitions


Divergence-Free Shape Interpolation and Correspondence


Divergent Creativity in Humans and Large Language Models


DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data


Diversified Arbitrary Style Transfer via Deep Feature Perturbation


Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts


Diversity with Cooperation: Ensemble Methods for Few-Shot Classification


Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation


Diving into the shallows: a computational perspective on large-scale shallow learning


Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents


DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer


Do Androids Dream of Magnetic Fields? Using Neural Networks to Interpret the Turbulent Interstellar Medium


Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest


Do As I Can, Not As I Say: Grounding Language in Robotic Affordances


Do Deep Generative Models Know What They Don't Know?


Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?


Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling


Do Neural Language Representations Learn Physical Commonsense?


Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels


Do Transformers Really Perform Bad for Graph Representation?


Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth


Do ideas have shape? Idea registration as the continuous limit of artificial neural networks


Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction


DocBERT: BERT for Document Classification


DocFormer: End-to-End Transformer for Document Understanding


DocFormerv2: Local Features for Document Understanding


DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis


DocMAE: Document Image Rectification via Self-supervised Representation Learning


DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents


Doctor of Crosswise: Reducing Over-parametrization in Neural Networks


Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks


Document Rectification and Illumination Correction using a Patch-based CNN


Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal densities?


Does Pretraining for Summarization Require Knowledge Transfer?


Does median filtering truly preserve edges better than linear filtering?


Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making


Dogfight: Detecting Drones from Drones Videos


Dolphins: Multimodal Language Model for Driving


Domain Adaptation for Ear Recognition Using Deep Convolutional Neural Networks


Domain Adaptation for Object Detection via Style Consistency


Domain Adaptation for Time Series Forecasting via Attention Sharing


Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift


Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing


Domain Adaptation of Neural Machine Translation by Lexicon Induction


Domain Adaptation on Point Clouds via Geometry-Aware Implicits


Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation


Domain Generalization for Object Recognition with Multi-task Autoencoders


Domain Generalization for Vision-based Driving Trajectory Generation


Domain Re-Modulation for Few-Shot Generative Domain Adaptation


Domain adaptation for person re-identification on new unlabeled data using AlignedReID++


Domain and View-point Agnostic Hand Action Recognition


Domain decomposition for entropy regularized optimal transport


Domain decomposition of the modified Born series approach for large-scale wave propagation simulations


Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal Endoscopy


Domain-Adaptive Single-View 3D Reconstruction


Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning


Domain-Specific Batch Normalization for Unsupervised Domain Adaptation


Domain-Specific Languages of Mathematics: Presenting Mathematical Analysis Using Functional Programming


Domain-Specific Mappings for Generative Adversarial Style Transfer


Domain-independent Extraction of Scientific Concepts from Research Articles


Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation


DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers


Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence


Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization


Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering


Don't Separate, Learn to Remix: End-to-End Neural Remixing with Joint Optimization


Don't Try This at Home: No-Go Theorems for Distributive Laws


Don't Walk, Skip! Online Learning of Multi-scale Network Embeddings


Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models


Don't go chasing artificial waterfalls: Simulating cascading failures in the power grid and the impact of artificial line-limit methods on results


Don't shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer


Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval


Dopamine: A Research Framework for Deep Reinforcement Learning


Dopant Network Processing Units: Towards Efficient Neural-network Emulators with High-capacity Nanoelectronic Nodes


Doppler Ambiguity Elimination Using 5G Signals in Integrated Sensing and Communication


Dota 2 with Large Scale Deep Reinforcement Learning


DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting


DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis


Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding


Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives


Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies


Doubly Robust Policy Evaluation and Learning


Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type linesearch algorithms


Down to the Last Detail: Virtual Try-on with Detail Carving


Downstream Model Design of Pre-trained Language Model for Relation Extraction Task


Dr.Fill: Crosswords and an Implemented Solver for Singly Weighted CSPs


Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness


DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks


Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library


Drawing and Recognizing Chinese Characters with Recurrent Neural Network


Dreaddit: A Reddit Dataset for Stress Analysis in Social Media


DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder


DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling


DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation


DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving


DriveGAN: Towards a Controllable High-Quality Neural Simulation


Driver Behavior Extraction from Videos in Naturalistic Driving Datasets with 3D ConvNets


Driver Intention Anticipation Based on In-Cabin and Driving SceneMonitoring


Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit


DroTrack: High-speed Drone-based Object Tracking Under Uncertainty


DroidBot-GPT: GPT-powered UI Automation for Android


DroneMOT: Drone-based Multi-Object Tracking Considering Detection Difficulties and Simultaneous Moving of Drones and Objects


Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models


Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity


DropCluster: A structured dropout for convolutional networks


DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks


Droplet motion with contact-line friction: long-time asymptotics in complete wetting


Droplet: Decentralized Authorization and Access Control for Encrypted Data Streams


DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation


Dropout Feature Ranking for Deep Learning Models


Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders


DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior


DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama


Dual Active Sampling on Batch-Incremental Active Learning


Dual Attention in Time and Frequency Domain for Voice Activity Detection


Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection


Dual Contrastive Learning for Unsupervised Image-to-Image Translation


Dual Diffusion for Unified Image Generation and Understanding


Dual Distribution Alignment Network for Generalizable Person Re-Identification


Dual Encoding for Video Retrieval by Text


Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting


Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration


Dual Recurrent Attention Units for Visual Question Answering


Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning


Dual virtual element method for discrete fractures networks


Dual virtual element method in presence of an inclusion


Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification


Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization


Dual-fisheye lens stitching for 360-degree imaging


DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations


DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning


Dually Supervised Feature Pyramid for Object Detection and Segmentation


DuanzAI: Slang-Enhanced LLM with Prompt for Humor Understanding


Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel


Duplication Detection in Knowledge Graphs: Literature and Tools


Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data


DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning


DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera Scenarios


Dynamic Analysis can be Improved with Automatic Test Suite Refactoring


Dynamic Attitude Estimation Improvement for Low-cost MEMS IMU by Integrating Low-cost GPS


Dynamic Channel Pruning: Feature Boosting and Suppression


Dynamic Clearing and Contagion in Financial Networks


Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture


Dynamic Compressed Sensing of Unsteady Flows with a Mobile Robot


Dynamic Conditional Imitation Learning for Autonomous Driving


Dynamic Context Correspondence Network for Semantic Alignment


Dynamic Deformation of Uniform Elastic Two-Layer Objects


Dynamic Dictionary Learning for Remote Sensing Image Segmentation


Dynamic Embedding on Textual Networks via a Gaussian Process


Dynamic Ensemble Learning for Credit Scoring: A Comparative Study


Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces


Dynamic Evaluation of Large Language Models by Meta Probing Agents


Dynamic Feature Pyramid Networks for Object Detection


Dynamic Graph Message Passing Networks for Visual Recognition


Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting


Dynamic Key-Value Memory Networks for Knowledge Tracing


Dynamic Language Binding in Relational Visual Reasoning


Dynamic LiDAR Re-simulation using Compositional Neural Fields


Dynamic Memory based Attention Network for Sequential Recommendation


Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources


Dynamic Model Averaging for Practitioners in Economics and Finance: The eDMA Package


Dynamic Movement Primitives: Volumetric Obstacle Avoidance Using Dynamic Potential Functions


Dynamic Network Quantization for Efficient Video Inference


Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction


Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation


Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning


Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter


Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency


Dynamic Sampling from a Discrete Probability Distribution with a Known Distribution of Rates


Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process


Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio


Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling


Dynamic Structural Impact of the COVID-19 Outbreak on the Stock Market and the Exchange Rate: A Cross-country Analysis Among BRICS Nations


Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation


Dynamic Word Embeddings for Evolving Semantic Discovery


Dynamic and adaptive mesh-based graph neural network framework for simulating displacement and crack fields in phase field models


Dynamic multi-agent assignment via discrete optimal transport


Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data


Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical Systems


DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes


Dynamical Complex Network Models of the Turbulent Cascade


Dynamical Evidence For a Fifth Force Explanation of the ATOMKI Nuclear Anomalies


Dynamical and radiative simulations of $γ$-ray jets in microquasars


Dynamical systems theory for causal inference with application to synthetic control methods


Dynamical-System Model Predicts When Social Learners Impair Collective Performance


Dynamics and geometry of the Rauzy-Veech induction for quadratic differentials


Dynamics of Data-driven Ambiguity Sets for Hyperbolic Conservation Laws with Uncertain Inputs


Dynamics of a Z2 symmetric EdGB gravity in spherical symmetry


Dynamics of equilibration and collisions in ultradilute quantum droplets


E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction


EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation


EASI-Tex: Edge-Aware Mesh Texturing from Single Image


EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets


ECAPA-TDNN for Multi-speaker Text-to-speech Synthesis


ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification


ECG Classification System for Arrhythmia Detection Using Convolutional Neural Networks


ECINN: Efficient Counterfactuals from Invertible Neural Networks


ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement


ECViT: Efficient Convolutional Vision Transformer with Local-Attention and Multi-scale Stages


EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation


EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes


EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing


EEE-QA: Exploring Effective and Efficient Question-Answer Representations


EEG Channel Interpolation Using Deep Encoder-decoder Netwoks


EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification


EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification Method


EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals


EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification


EERAD3: Event shapes and jet rates in electron-positron annihilation at order $α_s^3$


EERTREE: An Efficient Data Structure for Processing Palindromes in Strings


EEV: A Large-Scale Dataset for Studying Evoked Expressions from Video


EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation


EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information


EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction


EL Embeddings: Geometric construction of models for the Description Logic EL ++


EL PASSO: Privacy-preserving, Asynchronous Single Sign-On


ELECTRAMed: a new pre-trained language representation model for biomedical NLP


ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration


ELSR: Extreme Low-Power Super Resolution Network For Mobile Devices


ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding


EMOPortraits: Emotion-enhanced Multimodal One-shot Head Avatars


ENCORE: An $\mathcal{O}(N_{\rm g}^2)$ Estimator for Galaxy $N$-Point Correlation Functions


EOLO: Embedded Object Segmentation only Look Once


EPP: interpretable score of model predictive power


ERNIE 2.0: A Continual Pre-training Framework for Language Understanding


ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation


ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding


ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora


ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces


ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition


ESCM$^2$: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation


ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation


ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields


ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation


ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit


ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation


ETSformer: Exponential Smoothing Transformers for Time-series Forecasting


ETTA: Elucidating the Design Space of Text-to-Audio Models


EV-Action: Electromyography-Vision Multi-Modal Action Dataset


EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training


EX2: Exploration with Exemplar Models for Deep Reinforcement Learning


EXTRACTOR: Extracting Attack Behavior from Threat Reports


Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing


Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers


Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization


Early Convolutions Help Transformers See Better


Early Predictions of Movie Success: the Who, What, and When of Profitability


Early Visual Concept Learning with Unsupervised Deep Learning


Early onset of structural inequality in the formation of collaborative knowledge, Wikipedia


Early turbulence and pulsatile flows enhance diodicity of Tesla's macrofluidic valve


EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task


Earths in Other Solar Systems N-body simulations: the Role of Orbital Damping in Reproducing the Kepler Planetary Systems


Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal acceleration


Easy Accurate Reading and Writing of Floating-Point Numbers


Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout


Easy Hyperparameter Search Using Optunity


Easy Uncertainty Quantification (EasyUQ): Generating Predictive Distributions from Single-valued Model Output


EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models


EasyQuant: Post-training Quantization via Scale Optimization


EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications


Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere


EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion


EchoVideo: Identity-Preserving Human Video Generation by Multimodal Feature Fusion


EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization


Economic model predictive control for snake robot locomotion


Edge Computing: A Systematic Mapping Study


Edge-preserving noise for diffusion models


EdgeBench: Benchmarking Edge Computing Platforms


EdgeCalib: Multi-Frame Weighted Edge Features for Automatic Targetless LiDAR-Camera Calibration


EdgeSegNet: A Compact Network for Semantic Segmentation


EditGAN: High-Precision Semantic Image Editing


Editable Free-viewpoint Video Using a Layered Neural Representation


EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain


Effect of Mitigation Measures on the Spreading of COVID-19 in Hard-Hit States


Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis


Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization


Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological Data


Effect of top-down connections in Hierarchical Sparse Coding


Effective Aesthetics Prediction with Multi-level Spatially Pooled Features


Effective Resistances, Statistical Leverage, and Applications to Linear Equation Solving


Effective Stabilized Self-Training on Few-Labeled Graph Data


Effective Static Approximation: A Fast and Reliable Tool for Warm Dense Matter Theory


Effective Strategies in Zero-Shot Neural Machine Translation


Effective Use of Word Order for Text Categorization with Convolutional Neural Networks


Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization


Effective computation of base points of ideals in two-dimensional local rings


Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems


Effective point-charge analysis of crystal electric fields -- application to rare-earth pyrochlores and tripod kagome magnets R3Mg2Sb3O14


Effective protocols for low-distance file synchronization


Effective temperatures for single particle system under dichotomous noise


Effectiveness of Anonymization in Double-Blind Review


Effectiveness of MPC-friendly Softmax Replacement


Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples


Effects and limitations of a nucleobase-driven backmapping procedure for nucleic acids using steered Molecular Dynamics


Effects of Load-Based Frequency Regulation on Distribution Network Operation


Effects of rainfall on Culex mosquito population dynamics


Effects of sampling skewness of the importance-weighted risk estimator on model selection


Effects of stellar density on the photoevaporation of circumstellar discs


Effects of structure on reasoning in instance-level Self-Discover


Efficient Algorithms for Citation Network Analysis


Efficient Algorithms for Large-Scale Topology Discovery


Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning


Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep Learning


Efficient Bayesian Experimental Design for Implicit Models


Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes


Efficient Bayesian Structural Equation Modeling in Stan


Efficient Blind Deblurring under High Noise Levels


Efficient Computation of Visibility Polygons


Efficient Content-Based Sparse Attention with Routing Transformers


Efficient Contextual Bandits with Continuous Actions


Efficient Cosmological Parameter Estimation with Hamiltonian Monte Carlo


Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media


Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving


Efficient Dependency-Guided Named Entity Recognition


Efficient Detection of Communities with Significant Overlaps in Networks: Partial Community Merger Algorithm


Efficient Differentiable Programming in a Functional Array-Processing Language


Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices


Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning


Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations


Efficient EM Training of Gaussian Mixtures with Missing Data


Efficient Exploration of the Rashomon Set of Rule Set Models


Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks


Efficient Gender Classification Using a Deep LDA-Pruned Net


Efficient Geometry-aware 3D Generative Adversarial Networks


Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm


Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates


Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing


Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy


Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++


Efficient Jacobian-Based Inverse Kinematics with Sim-to-Real Transfer of Soft Robots by Learning


Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images


Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM


Efficient Learning of Discrete Graphical Models


Efficient Learning of Optimal Markov Network Topology with k-Tree Modeling


Efficient Lexicographic Optimization for Prioritized Robot Control and Planning


Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed


Efficient Logging for Blockchain Applications


Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks


Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization


Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal Fusion


Efficient Möbius Transformations and their applications to Dempster-Shafer Theory: Clarification and implementation


Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition


Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions


Efficient Neural Architecture for Text-to-Image Synthesis


Efficient Neural Network Robustness Certification with General Activation Functions


Efficient Neural Radiance Fields for Interactive Free-viewpoint Video


Efficient Noise Mitigation Technique for Quantum Computing


Efficient Optimization of Echo State Networks for Time Series Datasets


Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent


Efficient Parallel Methods for Deep Reinforcement Learning


Efficient Per-Example Gradient Computations


Efficient Point Clouds Upsampling via Flow Matching


Efficient Power Spectrum Estimation for High Resolution CMB Maps


Efficient Process-to-Node Mapping Algorithms for Stencil Computations


Efficient Project Gradient Descent for Ensemble Adversarial Attack


Efficient Qubit Routing for a Globally Connected Trapped Ion Quantum Computer


Efficient Randomized Algorithms for Subspace System Identification


Efficient Rank Minimization to Tighten Semidefinite Programming for Unconstrained Binary Quadratic Optimization


Efficient Redundancy Reduction for Open-Vocabulary Semantic Segmentation


Efficient Risk-Averse Reinforcement Learning


Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More


Efficient Rollout Strategies for Bayesian Optimization


Efficient Segmentation: Learning Downsampling Near Semantic Boundaries


Efficient Semantic Video Segmentation with Per-frame Inference


Efficient Single Image Super Resolution using Enhanced Learned Group Convolutions


Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression


Efficient Structured Pruning and Architecture Searching for Group Convolution


Efficient Symbolic Approaches for Quantitative Reactive Synthesis with Finite Tasks


Efficient Thresholded Correlation using Truncated Singular Value Decomposition


Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training


Efficient Training for Multilingual Visual Speech Recognition: Pre-training with Discretized Visual Speech Representation


Efficient Training of Language Models to Fill in the Middle


Efficient Video Classification Using Fewer Frames


Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks


Efficient and Effective $L_0$ Feature Selection


Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform


Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT


Efficient and optimal binary Hopfield associative memory storage using minimum probability flow


Efficient bifurcation and parameterization of multi-dimensional combustion manifolds using deep mixture of experts: an a priori study


Efficient calculation of gradients in classical simulations of variational quantum algorithms


Efficient classification of billions of points into complex geographic regions using hierarchical triangular mesh


Efficient comparison of independence structures of log-linear models


Efficient computation of BSD invariants in genus 2


Efficient computation of global resolvent modes


Efficient data augmentation for multivariate probit models with panel data: An application to general practitioner decision-making about contraceptives


Efficient decision tree training with new data structure for secure multi-party computation


Efficient fourth order symplectic integrators for near-harmonic separable Hamiltonian systems


Efficient magic state factories with a catalyzed |CCZ> to 2|T> transformation


Efficient means of Achieving Composability using Object based Conflicts on Transactional Memory


Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing


Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labels


Efficient multi-relational network representation using primes


Efficient nonparametric statistical inference on population feature importance using Shapley values


Efficient numerical computation of the Pfaffian for dense and banded skew-symmetric matrices


Efficient parametrization of multi-domain deep neural networks


Efficient penalty search for multiple changepoint problems


Efficient quantum algorithm for solving travelling salesman problem: An IBM quantum experience


Efficient quantum gate teleportation in higher dimensions


Efficient random graph matching via degree profiles


Efficient repeat finding via suffix arrays


Efficient selection of predictive biomarkers for individual treatment selection


Efficient-CapsNet: Capsule Network with Self-Attention Routing


EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining


EfficientNet-eLite: Extremely Lightweight and Efficient CNN Models for Edge Devices by Network Candidate Search


EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture


Efficiently Exploring Multi-Dimensional Parameter Spaces Beyond the Standard Model


Efficiently Maximizing a Homogeneous Polynomial over Unit Sphere without Convex Relaxation


Efficiently inferring community structure in bipartite networks


Ego-Body Pose Estimation via Ego-Head Pose Estimation


Ego-perspective enhanced fitness training experience of AR Try to Move game


Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection


EigenEvent: An Algorithm for Event Detection from Complex Data Streams in Syndromic Surveillance


EigenGame Unloaded: When playing games is better than optimizing


EigenKernel - A middleware for parallel generalized eigenvalue solvers to attain high scalability and usability


Elastic Functional Coding of Riemannian Trajectories


Elastic Gossip: Distributing Neural Network Training Using Gossip-like Protocols


Elastic bands across the path: A new framework and methods to lower bound DTW


Elastic depths for detecting shape anomalies in functional data


Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data


Elastic-TCP: Flexible Congestion Control Algorithm to Adapt for High-BDP Networks


Elasticlave: An Efficient Memory Model for Enclaves


ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses


Electron correlation in 2D periodic systems


Electroweak Symmetry Breaking and Mass Spectra in Six-Dimensional Gauge-Higgs Grand Unification


Elements and Principles for Characterizing Variation between Data Analyses


Elements of Consciousness and Cognition. Biology, Mathematic, Physics and Panpsychism: an Information Topology Perspective


ElfStore: A Resilient Data Storage Service for Federated Edge and Fog Resources


Eliciting Best Practices for Collaboration with Computational Notebooks


Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis


Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery


Elliptic Blowup Equations for 6d SCFTs. IV: Matters


Elliptic Curve Pairing Stealth Address Protocols


EmbedJoin: Efficient Edit Similarity Joins via Embeddings


Embedding Entities and Relations for Learning and Inference in Knowledge Bases


Embedding Transfer with Label Relaxation for Improved Metric Learning


Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences


Embedding grayscale halftone pictures in QR Codes using Correction Trees


Embedding-based Retrieval in Facebook Search


Embedding-reparameterization procedure for manifold-valued latent variables in generative models


Embodied Language Grounding with 3D Visual Feature Representations


EmbodiedSAM: Online Segment Any 3D Thing in Real Time


EmbraceNet: A robust deep learning architecture for multimodal classification


EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision


Emergence and Evolution of Hierarchical Structure in Complex Systems


Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input


Emergence of Locomotion Behaviours in Rich Environments


Emergence of Object Segmentation in Perturbed Generative Models


Emergence of Pragmatics from Referential Game between Theory of Mind Agents


Emergent Correspondence from Image Diffusion


Emergent Multi-Agent Communication in the Deep Learning Era


Emergent Tool Use From Multi-Agent Autocurricula


Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer


Emittance increase caused by core depletion in collisions


Emotion Action Detection and Emotion Inference: the Task and Dataset


Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models


Emotion Recognition in Horses with Convolutional Neural Networks


Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers


EmotionGIF-Yankee: A Sentiment Classifier with Robust Model Based Ensemble Methods


EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition


Emotional Voice Conversion using Multitask Learning with Text-to-speech


Empath: Understanding Topic Signals in Large-Scale Text


Empirical Evaluation of Rectified Activations in Convolutional Network


Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures


Empirical Study of Drone Sound Detection in Real-Life Environment with Deep Neural Networks


Empirical extinction coefficients for the GALEX, SDSS, 2MASS and WISE passbands


Empirical fixed point bifurcation analysis


Empirical non-parametric estimation of the Fisher Information


Employing latent variable models to improve efficiency in composite endpoint analysis


Empower Sequence Labeling with Task-Aware Neural Language Model


Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting


Emu3: Next-Token Prediction is All You Need


Emulating Majorana fermions and their braiding by Ising spin chains


EnCodecMAE: Leveraging neural codecs for universal audio representation learning


Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks


Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning


Enabling Mixed-Precision Quantized Neural Networks in Extreme-Edge Devices


Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation


Enabling rootless Linux Containers in multi-user environments: the udocker tool


EncT5: A Framework for Fine-tuning T5 as Non-autoregressive Models


Encoder Complexity Control in SVT-AV1 by Speed-Adaptive Preset Switching


Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Tasks


Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting


Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling


Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series


Encoding physics to learn reaction-diffusion processes


Encouraging LSTMs to Anticipate Actions Very Early


End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon


End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features


End-to-End Conditional GAN-based Architectures for Image Colourisation


End-to-End Deep Kronecker-Product Matching for Person Re-identification


End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks


End-to-End Dense Video Captioning with Masked Transformer


End-to-End Instance Segmentation with Recurrent Attention


End-to-End Lane Marker Detection via Row-wise Classification


End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds


End-to-End Learning of Communications Systems Without a Channel Model


End-to-End Learning of Motion Representation for Video Understanding


End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence


End-to-End Multimodal Emotion Recognition using Deep Neural Networks


End-to-End Neural Ad-hoc Ranking with Kernel Pooling


End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification


End-to-End Neural Speaker Diarization with Self-attention


End-to-End Pixel-Based Deep Active Inference for Body Perception and Action


End-to-End Probabilistic Inference for Nonstationary Audio Analysis


End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression


End-to-End Refinement Guided by Pre-trained Prototypical Classifier


End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks


End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors


End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames


End-to-End Video Instance Segmentation with Transformers


End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures


End-to-end Audio-visual Speech Recognition with Conformers


End-to-end Audiovisual Speech Recognition


End-to-end Learning Improves Static Object Geo-localization in Monocular Video


End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera


End-to-end Learning of Action Detection from Frame Glimpses in Videos


End-to-end Learning of Deep Visual Representations for Image Retrieval


End-to-end Learning of Deterministic Decision Trees


End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation


End-to-end Multimodal Emotion and Gender Recognition with Dynamic Joint Loss Weights


End-to-end Music-mixed Speech Recognition


End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks


End-to-end Sinkhorn Autoencoder with Noise Generator


End-to-end Source Separation with Adaptive Front-Ends


End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition


End-to-end learning of energy-based representations for irregularly-sampled signals and images


End-to-end lyrics Recognition with Voice to Singing Style Transfer


Ending the Anomaly: Achieving Low Latency and Airtime Fairness in WiFi


Energy and Policy Considerations for Deep Learning in NLP


Energy and angular distributions of atmospheric muons at the Earth


Energy-based Generative Adversarial Network


Energy-based time derivative damage accumulation model under uniaxial and multiaxial random loadings


Energy-saving Cross-layer Optimization of Big Data Transfer Based on Historical Log Analysis


EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models


Enforcing geometric constraints of virtual normal for depth prediction


Engineering Data Reduction for Nested Dissection


Engineering Fast High-Fidelity Quantum Operations With Constrained Interactions


Engineering quantum current states with machine learning


English-Japanese Neural Machine Translation with Encoder-Decoder-Reconstructor


Enhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution


Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections


Enhanced Intelligent Driver Model to Access the Impact of Driving Strategies on Traffic Capacity


Enhanced Network Embeddings via Exploiting Edge Labels


Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs


Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem


Enhanced Spatio-Temporal Context for Temporally Consistent Robust 3D Human Motion Recovery from Monocular Videos


Enhanced monitoring of atmospheric methane from space over the Permian basin with hierarchical Bayesian inference


Enhanced proximity effect in zigzag-shaped Majorana Josephson junctions


Enhancement Mask for Hippocampus Detection and Segmentation


Enhancement of Anime Imaging Enlargement using Modified Super-Resolution CNN


Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights


Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction


Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network


Enhancing Item Response Theory for Cognitive Diagnosis


Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer's disease


Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion


Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning


Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts


Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning


Enhancing Speaker Diarization with Large Language Models: A Contextual Beam Search Approach


Enhancing Stock Movement Prediction with Adversarial Training


Enhancing Time Series Momentum Strategies Using Deep Neural Networks


Enhancing statistical inference in psychological research via prospective and retrospective design analysis


Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting


Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks


Ensemble Super-Resolution with A Reference Dataset


Ensemble learning in CNN augmented with fully connected subnetworks


Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images


Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods


Ensemble-CVDNet: A Deep Learning based End-to-End Classification Framework for COVID-19 Detection using Ensembles of Networks


Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology


Ensuring 'well-balanced' shallow water flows via a discontinuous Galerkin finite element method: issues at lowest order


Entanglement gain in measurements with unknown results


Entanglement in Graph States and its Applications


Entanglement in coined quantum walks on regular graphs


Entities as Experts: Sparse Memory Access with Entity Supervision


Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0


Entity-Relation Extraction as Multi-Turn Question Answering


Entombed: An archaeological examination of an Atari 2600 game


Entropic Optimal Transport between (Unbalanced) Gaussian Measures has a Closed Form


Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples


Entropy stable modal discontinuous Galerkin schemes and wall boundary conditions for the compressible Navier-Stokes equations


Entropy-Based Decoding for Retrieval-Augmented Large Language Models


EpistAid: Interactive Interface for Document Filtering in Evidence-based Health Care


Epoch-evolving Gaussian Process Guided Learning


Equal Opportunity in Online Classification with Partial Feedback


Equal Risk Pricing of Derivatives with Deep Hedging


Equal-Subset-Sum Faster Than the Meet-in-the-Middle


Equality of Opportunity in Supervised Learning


Equations for Hereditary Substitution in Leivant's Predicative System F: A Case Study


Equations of Motion Formulation of a Pendulum Containing N-point Masses


Equations of Riemann surfaces with automorphisms


Equivariant Graph Neural Networks for 3D Macromolecular Structure


Equivariant message passing for the prediction of tensorial properties and molecular spectra


Error Reporting in Parsing Expression Grammars


Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation


Error estimates for solid-state density-functional theory predictions: an overview by means of the ground-state elemental crystals


Error mitigated quantum computational chemistry


Error-Mitigated Simulation of Quantum Many-Body Scars on Quantum Computers with Pulse-Level Control


Error-free Training for Artificial Neural Network


Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method


Escaping the curse of dimensionality in Bayesian model based clustering


Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs


Essential guidelines for computational method benchmarking


Estimating Causal Effects Under Interference Using Bayesian Generalized Propensity Scores


Estimating Causal Effects with the Neural Autoregressive Density Estimator


Estimating Feature-Label Dependence Using Gini Distance Statistics


Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning


Estimating Lyapunov exponents in billiards


Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks


Estimating Planetary Mass with Deep Learning


Estimating Probabilities of Default for Low Default Portfolios


Estimating Q(s,s') with Deep Deterministic Dynamics Gradients


Estimating Vaccine Efficacy Over Time After a Randomized Study is Unblinded


Estimating densities with nonlinear support using Fisher-Gaussian kernels


Estimating group properties in online social networks with a classifier


Estimating international trade status of countries from global liner shipping networks


Estimating population average treatment effects from experiments with noncompliance


Estimating savings in parking demand using shared vehicles for home-work commuting


Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org


Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models


Estimating the number of SARS-CoV-2 infections and the impact of social distancing in the United States


Estimating the significance of a signal in a multi-dimensional search


Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods


Estimation and Applications of Quantiles in Deep Binary Classification


Estimation and inference for area-wise spatial income distributions from grouped data


Estimation of COVID-19 under-reporting in Brazilian States through SARI


Estimation of Camera Locations in Highly Corrupted Scenarios: All About that Base, No Shape Trouble


Estimation of Low-Rank Matrices via Approximate Message Passing


Estimation of Markovian-regime-switching models with independent regimes


Estimation of Rate Control Parameters for Video Coding Using CNN


Estimation of Simultaneously Sparse and Low Rank Matrices


Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes


Estimation of fusion-evaporation cross sections by artificial neural networks


Estimation of interventional effects of features on prediction


Estimation of phase in EEG rhythms for real-time applications


Estimation of the Epidemic Branching Factor in Noisy Contact Networks


Estimation of the lead-lag parameter from non-synchronous data


Estimation of the number of spiked eigenvalues in a covariance matrix by bulk eigenvalue matching analysis


Estimators for Archimedean copulas in high dimensions


Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts


Euclidean Distance Matrices: Essential Theory, Algorithms and Applications


Euler Number and Percolation Threshold on a Square Lattice with Diagonal Connection Probability and Revisiting the Island-Mainland Transition


European and Asian Greeks for exponential Lévy processes


Evading Derrick's theorem in curved space: Static metastable spherical domain wall


Evaluating Abstract Asynchronous Schwarz solvers on GPUs


Evaluating Emerging CXL-enabled Memory Pooling for HPC Systems


Evaluating Forecasts with scoringutils in R


Evaluating Frontier Models for Dangerous Capabilities


Evaluating Gammatone Frequency Cepstral Coefficients with Neural Networks for Emotion Recognition from Speech


Evaluating Online Continual Learning with CALM


Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite


Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark


Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks


Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition


Evaluating State-of-the-Art Classification Models Against Bayes Optimality


Evaluating Various Tokenizers for Arabic Text Classification


Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors


Evaluating and Inducing Personality in Pre-trained Language Models


Evaluating data augmentation for financial time series classification


Evaluating improvements on using Large Language Models (LLMs) for property extraction in the Open Research Knowledge Graph (ORKG)


Evaluating proxy influence in assimilated paleoclimate reconstructions -- Testing the exchangeability of two ensembles of spatial processes


Evaluating the classification of Fermi BCUs from the 4FGL Catalog Using Machine Learning


Evaluating the effect of immeasurable parameters of exoplanets on their habitability using latitudinal energy balance model


Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models


Evaluation of Deep Audio Representations for Hearables


Evaluation of Non-Invasive Thermal Imaging for detection of Viability of Onchocerciasis worms


Evaluation of Sampling-Based Optimizing Planners for Outdoor Robot Navigation


Evaluation of TanDEM-X DEMs on selected Brazilian sites: comparison with SRTM, ASTER GDEM and ALOS AW3D30


Evaluation of an open-source implementation of the SRP-PHAT algorithm within the 2018 LOCATA challenge


Evaluation of post-processing algorithms for polyphonic sound event detection


Evaluation of synthetic and experimental training data in supervised machine learning applied to charge state detection of quantum dots


Evaluation of the Effectiveness of the Frobenius Primality Test


Event Classification with Quantum Machine Learning in High-Energy Physics


Event Detection as Question Answering with Entity Information


Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras


Event detection in Twitter: A keyword volume approach


Event-Based Motion Segmentation by Motion Compensation


Event-based Video Reconstruction via Potential-assisted Spiking Neural Network


Event-based attention and tracking on neuromorphic hardware


Event-chain Monte Carlo for classical continuous spin models


EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Camera


Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks


Every Painting Awakened: A Training-free Framework for Painting-to-Animation Generation


Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks


Evidence That Hydra I is a Tidally Disrupting Milky Way Dwarf Galaxy


Evidential fully convolutional network for semantic segmentation


EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs


Evolutionary Algorithm for Graph Anonymization


Evolutionary Algorithm for Sinhala to English Translation


Evolutionary Architecture Search for Graph Neural Networks


Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment


Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks


Evolving Deep Convolutional Neural Networks for Image Classification


Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification


Evolving Event-driven Programs with SignalGP


Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning


ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning


ExKMC: Expanding Explainable $k$-Means Clustering


Exact $p$-values for global network alignments via combinatorial analysis of shared GO terms (Subtitle: REFANGO: Rigorous Evaluation of Functional Alignments of Networks using Gene Ontology)


Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables


Exact Approaches for the Travelling Thief Problem


Exact Combinatorial Optimization with Graph Convolutional Neural Networks


Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians


Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels


Exact Post-Selection Inference for Changepoint Detection and Other Generalized Lasso Problems


Exact diagonalization of the Hubbard model on graphics processing units


Exact diagonalization: the Bose-Hubbard model as an example


Exact method of determination of the recombination mode from time resolved photoluminescence data


Exact sampling of determinantal point processes with sublinear time preprocessing


Exact solutions to Super Resolution on semi-algebraic domains in higher dimensions


Exact, Complete, and Universal Continuous-Time Worldline Monte Carlo Approach to the Statistics of Discrete Quantum Systems


Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks


Examining Lead-Lag Relationships In-Depth, With Focus On FX Market As Covid-19 Crises Unfolds


Examining the State-of-the-Art in News Timeline Summarization


Example Setups of Navier-Stokes Equations with Control and Observation: Spatial Discretization and Representation via Linear-quadratic Matrix Coefficients


Exceeding the Shockley-Queisser limit within the detailed balance framework


Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities


Excitation Dropout: Encouraging Plasticity in Deep Neural Networks


Excursion Set Halos -- ExSHalos: A New Parameter Free Method for Fast Generation of Halo Catalogues


Exhaustive goodness-of-fit via smoothed inference and graphics


Exhaustive search of convex pentagons which tile the plane


ExoGAN: Retrieving Exoplanetary Atmospheres Using Deep Convolutional Generative Adversarial Networks


Exotic Higgs Decays in Type-II 2HDMs at the LHC and Future 100 TeV Hadron Colliders


Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting


ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content


Expander Decomposition and Pruning: Faster, Stronger, and Simpler


Expanding Scope: Adapting English Adversarial Attacks to Chinese


Expectation-Maximization Attention Networks for Semantic Segmentation


Expected Improvement versus Predicted Value in Surrogate-Based Optimization


Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases


Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images


Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index


Experimental Evaluation of Asynchronous Binary Byzantine Consensus Algorithms with $t < n/3$ and $O(n^2)$ Messages and $O(1)$ Round Expected Termination


Experimental Quantum Generative Adversarial Networks for Image Generation


Experimental discovery of structure-property relationships in ferroelectric materials via active learning


Experiments with Three Approaches to Recognizing Lexical Entailment


Expert load matters: operating networks at high accuracy and low manual effort


Expertise and Task Pressure in fNIRS-based brain Connectomes


Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution


Explain Yourself! Leveraging Language Models for Commonsense Reasoning


Explainability Guided Multi-Site COVID-19 CT Classification


Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI


Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization


Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks


Explainable Neural Computation via Stack Neural Module Networks


Explainable Reasoning over Knowledge Graphs for Recommendation


Explainable Recommendation via Multi-Task Learning in Opinionated Text Data


Explainable Video Action Reasoning via Prior Knowledge and State Transitions


Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis


Explaining Answers with Entailment Trees


Explaining Deep Tractable Probabilistic Models: The sum-product network case


Explaining How Deep Neural Networks Forget by Deep Visualization


Explaining dimensionality reduction results using Shapley values


Explicit Chabauty-Kim for the Split Cartan Modular Curve of Level 13


Explicit Computations for the Classical and Quantum Integrability of the 3-Dimensional Rational Calogero-Moser System


Explicit Visual Prompting for Universal Foreground Segmentations


Explicit symplectic approximation of nonseparable Hamiltonians: algorithm and long time performance


Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning


Exploit the Connectivity: Multi-Object Tracking with TrackletNet


Exploiting 2D Floorplan for Building-scale Panorama RGBD Alignment


Exploiting Aliasing for Manga Restoration


Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation


Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis


Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation


Exploiting Parallelism Opportunities with Deep Learning Frameworks


Exploiting Unintended Feature Leakage in Collaborative Learning


Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank


Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains


Exploratory Projection to Latent Structure Models for use in Transcriptomic Analysis


Explore and Control with Adversarial Surprise


Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models


Exploring Computational User Models for Agent Policy Summarization


Exploring Data Augmentation for Code Generation Tasks


Exploring Generalization in Deep Learning


Exploring Incompatible Knowledge Transfer in Few-shot Image Generation


Exploring Language Similarities with Dimensionality Reduction Technique


Exploring Modern GPU Memory System Design Challenges through Accurate Modeling


Exploring Object Relation in Mean Teacher for Cross-Domain Detection


Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation


Exploring SMEFT in VH with Machine Learning


Exploring Self-Supervised Learning with U-Net Masked Autoencoders and EfficientNet B7 for Improved Classification


Exploring Self-attention for Image Recognition


Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition


Exploring Sparsity in Recurrent Neural Networks


Exploring TD error as a heuristic for $σ$ selection in Q($σ$, $λ$)


Exploring Temporal Coherence for More General Video Face Forgery Detection


Exploring The Effect of High-frequency Components in GANs Training


Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models


Exploring Unlabeled Faces for Novel Attribute Discovery


Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification


Exploring loss function topology with cyclical learning rates


Exploring text datasets by visualizing relevant words


Exploring the Accuracy Potential of IMU Preintegration in Factor Graph Optimization


Exploring the Attack Surface of Blockchain: A Systematic Overview


Exploring the Bounds of the Utility of Context for Object Detection


Exploring the Limits of Language Modeling


Exploring the Limits of Weakly Supervised Pretraining


Exploring the Open World Using Incremental Extreme Value Machines


Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations


Exploring the Origin of Supermassive Black Holes with Coherent Neutrino Scattering


Exploring the Security Awareness of the Python and JavaScript Open Source Communities


Exploring the Verifiability of Code Generated by GitHub Copilot


Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption


Exploring the similarity of medical imaging classification problems


Exploring the solution landscape enables more reliable network community detection


Explosive percolation in thresholded networks


Exponential algorithmic speedup by quantum walk


Exponential inequality for chaos based on sampling without replacement


Exponential random graph models for networks with community structure


Exposure: A White-Box Photo Post-Processing Framework


Expressibility and entangling capability of parameterized quantum circuits for hybrid quantum-classical algorithms


Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions


Expressive Whole-Body 3D Gaussian Avatar


Expressive power of recurrent neural networks


Expressivity and Complexity of MongoDB (Extended Version)


Extended Aperture Photometry of K2 RR Lyrae stars


Extended Feature Pyramid Network for Small Object Detection


Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning


Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection


Extending Consequence-Based Reasoning to SRIQ


Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues


Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images


Extending the Lambda Calculus to Express Randomized and Quantumized Algorithms


Extension of CNN-LSTM based reduced order surrogate for minimal turbulent channel flow


Extensions and paracanonical curves of genus 6


Extensively Matching for Few-shot Learning Event Detection


Extracting Clean Performance Models from Tainted Programs


Extracting Impact Model Narratives from Social Services' Text


Extracting Optimal Explanations for Ensemble Trees via Logical Reasoning


Extracting Rationale for Open Source Software Development Decisions -- A Study of Python Email Archives


Extracting a Knowledge Base of COVID-19 Events from Social Media


Extracting and Analyzing Context Information in User-Support Conversations on Twitter


Extracting data from vector figures in scholarly articles


Extracting the effective contact rate of COVID-19 pandemic


Extracting the fundamental diagram from aerial footage


Extracting the multiscale backbone of complex weighted networks


Extraction and Analysis of Clinically Important Follow-up Recommendations in a Large Radiology Dataset


Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks


Extragalactic Searches for Dark Matter Annihilation


Extragradient with player sampling for faster Nash equilibrium finding


Extreme Masking for Learning Instance and Distributed Visual Representations


Extreme Points Derived Confidence Map as a Cue For Class-Agnostic Segmentation Using Deep Neural Network


Extreme Q-Learning: MaxEnt RL without Entropy


Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation


Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices


F-ANcGAN: An Attention-Enhanced Cycle Consistent Generative Adversarial Architecture for Synthetic Image Generation of Nanoparticles


F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation


F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Consistent Gaussian Splatting


FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation


FACROC: a fairness measure for FAir Clustering through ROC curves


FADNet: A Fast and Accurate Network for Disparity Estimation


FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs


FALDOI: A new minimization strategy for large displacement variational optical flow


FANTrack: 3D Multi-Object Tracking with Feature Association Network


FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance


FARM: Functional Automatic Registration Method for 3D Human Bodies


FARSA: Fully Automated Roadway Safety Assessment


FAST-LIO: A Fast, Robust LiDAR-inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter


FASTSUBS: An Efficient and Exact Procedure for Finding the Most Likely Lexical Substitutes Based on an N-gram Language Model


FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search


FCDFusion: a Fast, Low Color Deviation Method for Fusing Visible and Infrared Image Pairs


FCN Approach for Dynamically Locating Multiple Speakers


FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras


FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation


FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence


FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy


FFCV: Accelerating Training by Removing Data Bottlenecks


FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation


FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding


FIVR: Fine-grained Incident Video Retrieval


FLAG3D: A 3D Fitness Activity Dataset with Language Instruction


FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imagery


FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration


FLAME: Differentially Private Federated Learning in the Shuffle Model


FLAML: A Fast and Lightweight AutoML Library


FLARE: Fast Learning of Animatable and Relightable Mesh Avatars


FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning


FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing


FLAVA: A Foundational Language And Vision Alignment Model


FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds


FLAW3D: A Trojan-based Cyber Attack on the Physical Outcomes of Additive Manufacturing


FLEN: Leveraging Field for Scalable CTR Prediction


FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits


FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation


FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping


FNetAR: Mixing Tokens with Autoregressive Fourier Transforms


FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design


FPC-BI: Fast Probabilistic Consensus within Byzantine Infrastructures


FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model


FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition


FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks


FReeNet: Multi-Identity Face Reenactment


FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting


FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping


FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real Users


FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models


FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents


FUTR3D: A Unified Sensor Fusion Framework for 3D Detection


FWLBP: A Scale Invariant Descriptor for Texture Classification


Face Aging With Conditional Generative Adversarial Networks


Face Alignment Assisted by Head Pose Estimation


Face Alignment in Full Pose Range: A 3D Total Solution


Face Beautification: Beyond Makeup Transfer


Face Liveness Detection Based on Client Identity Using Siamese Network


Face Super-Resolution Guided by 3D Facial Priors


FaceOff: Detecting Face Touching with a Wrist-Worn Accelerometer


Facebook FAIR's WMT19 News Translation Task Submission


Faceting for direction-dependent spectral deconvolution


Facets, Tiers and Gems: Ontology Patterns for Hypernormalisation


Facial Affect Recognition in the Wild Using Multi-Task Learning Convolutional Network


Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection


Facial De-occlusion Network for Virtual Telepresence Systems


Facial Expression Recognition Research Based on Deep Learning


Facial age estimation by deep residual decision making


Facing Device Attribution Problem for Stabilized Video Sequences


Fact or Fiction: Verifying Scientific Claims


Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation


Factor Fields: A Unified Framework for Neural Fields and Beyond


Factor analysis in high dimensional biological data with dependent observations


Factor-Adjusted Regularized Model Selection


Factory: Fast Contact for Robotic Assembly


FaiR-N: Fair and Robust Neural Networks for Structured Data


Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars


Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach


Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees


Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity


Fair Regression: Quantitative Definitions and Reduction-based Algorithms


Fair Resource Allocation in Federated Learning


Fair and Diverse DPP-based Data Summarization


FairGrad: Fairness Aware Gradient Descent


FairNN- Conjoint Learning of Fair Representations for Fair Decisions


FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms


FairSight: Visual Analytics for Fairness in Decision Making


Fairness Implications of Encoding Protected Categorical Attributes


Fairness for Robust Log Loss Classification


Faithful Euclidean Distance Field from Log-Gaussian Process Implicit Surfaces


Faithful Semantical Embedding of a Dyadic Deontic Logic in HOL


Faithful Tight-binding Models and Fragile Topology of Magic-angle Bilayer Graphene


Fake News Detection on Social Media using Geometric Deep Learning


Fake News Detection via NLP is Vulnerable to Adversarial Attacks


Fake Review Detection Using Behavioral and Contextual Features


FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media


FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction


Faking and Discriminating the Navigation Data of a Micro Aerial Vehicle Using Quantum Generative Adversarial Networks


Fallback supernova assembly of heavy binary neutron stars and light black hole-neutron star pairs and the common stellar ancestry of GW190425 and GW200115


Fallout: Distributed Systems Testing as a Service


False Discovery Rate Computation: Illustrations and Modifications


False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation


False Discovery Rate Control via Data Splitting


Familywise Error Rate Controlling Procedures for Discrete Data


FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance


Fantastic Copyrighted Beasts and How (Not) to Generate Them


Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning


Farkas layers: don't shift the data, fix the geometry


FasTer: Fast Tensor Completion with Nonconvex Regularization


Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards


Fashion-Gen: The Generative Fashion Dataset and Challenge


Fast & Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems


Fast 3D Sparse Topological Skeleton Graph Generation for Mobile Robot Global Planning


Fast Adaptation of Manipulator Trajectories to Task Perturbation By Differentiating through the Optimal Solution


Fast Algorithm for Finding Maximum Distance with Space Subdivision in E2


Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis


Fast Approximate Quadratic Programming for Large (Brain) Graph Matching


Fast Bayesian Record Linkage With Record-Specific Disagreement Parameters


Fast Computation of Moore-Penrose Inverse Matrices


Fast Computation of Wasserstein Barycenters


Fast Deep Learning for Automatic Modulation Classification


Fast Deep Matting for Portrait Animation on Mobile Phone


Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing


Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures


Fast Exact Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling


Fast Feature Extraction with CNNs with Pooling Layers


Fast Fourier-transform calculation of artificial night sky brightness maps


Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images


Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel


Fast L1-Minimization Algorithms For Robust Face Recognition


Fast Marching Tree: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions


Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors


Fast Mean Estimation with Sub-Gaussian Rates


Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices


Fast Mølmer-Sørensen gates in trapped-ion quantum processors with compensated carrier transition


Fast OSCAR and OWL Regression via Safe Screening Rules


Fast Online Object Tracking and Segmentation: A Unifying Approach


Fast Parameter Inference in a Biomechanical Model of the Left Ventricle using Statistical Emulation


Fast Parameter Inference on Pulsar Timing Arrays with Normalizing Flows


Fast Periodicity Estimation and Reconstruction of hidden components from noisy periodic signal


Fast Population-Based Reinforcement Learning on a Single Machine


Fast Probabilistic Hosting Capacity Analysis for Active Distribution Systems


Fast Sampling from Wiener Posteriors for Image Data with Dataflow Engines


Fast Shadow Detection from a Single Image Using a Patched Convolutional Neural Network


Fast Trajectory Simplification Algorithm for Natural User Interfaces in Robot Programming by Demonstration


Fast Transformer Decoding: One Write-Head is All You Need


Fast Two-Sample Testing with Analytic Representations of Probability Measures


Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks


Fast Wiener filtering of CMB maps with Neural Networks


Fast algorithms for morphological operations using run-length encoded binary images


Fast and Accurate Amplitude Demodulation of Wideband Signals


Fast and Accurate Person Re-Identification with RMNet


Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact


Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution


Fast and Precise Type Checking for JavaScript


Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure


Fast and Robust Archetypal Analysis for Representation Learning


Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views


Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow


Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation


Fast and Smooth Interpolation on Wasserstein Space


Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models


Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules


Fast and accurate algorithms for the computation of spherically symmetric nonlocal diffusion operators on lattices


Fast and exact search for the partition with minimal information loss


Fast and high-quality tetrahedral mesh generation from neuroanatomical scans


Fast and robust quantum state tomography from few basis measurements


Fast and stable multivariate kernel density estimation by fast sum updating


Fast building segmentation from satellite imagery and few local labels


Fast computation of Gauss quadrature nodes and weights on the whole real line


Fast computation of non-linear power spectrum in cosmologies with massive neutrinos


Fast construction of irreducible polynomials over finite fields


Fast deep reinforcement learning using online adjustments from the past


Fast embedding of multilayer networks: An algorithm and application to group fMRI


Fast fitting of phylogenetic mixed-effects models


Fast inverse transform sampling in one and two dimensions


Fast is better than free: Revisiting adversarial training


Fast k-Nearest Neighbour Search via Prioritized DCI


Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients


Fast parallel multidimensional FFT using advanced MPI


Fast pseudolikelihood maximization for direct-coupling analysis of protein structure from many homologous amino-acid sequences


Fast simulation of stabilizer circuits using a graph state representation


Fast simulations of extragalactic microlensing


Fast variable selection for distributional regression with application to continuous glucose monitoring data


Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models


FastBERT: a Self-distilling BERT with Adaptive Inference Time


FastContext: an efficient and scalable implementation of the ConText algorithm


FastNeRF: High-Fidelity Neural Rendering at 200FPS


FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion


FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming over HTTP


Faster 64-bit universal hashing using carry-less multiplications


Faster AutoAugment: Learning Augmentation Strategies using Backpropagation


Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN


Faster Neural Network Training with Data Echoing


Faster Reinforcement Learning Using Active Simulators


Faster Training of Mask R-CNN by Focusing on Instance Boundaries


Faster all-pairs shortest paths via circuit complexity


Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs


Faster and better: a machine learning approach to corner detection


Faster identification of optimal contraction sequences for tensor networks


Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms


FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting


FasterViT: Fast Vision Transformers with Hierarchical Attention


Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer Gate