Exploring Differences between Human Perception and Model Inference in Audio Event Recognition


Exploring Differential Geometry in Neural Implicits


Exploring Diffusion Transformer Designs via Grafting


Exploring Discontinuity for Video Frame Interpolation


Exploring Discourse Structures for Argument Impact Classification


Exploring Discrete Diffusion Models for Image Captioning


Exploring Diseases and Syndromes in Neurology Case Reports from 1955 to 2017 with Text Mining


Exploring Disentanglement with Multilingual and Monolingual VQ-VAE


Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression


Exploring Diverse In-Context Configurations for Image Captioning


Exploring Diverse Representations for Open Set Recognition


Exploring Diversity in Back Translation for Low-Resource Machine Translation


Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving


Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature


Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark


Exploring Driving-aware Salient Object Detection via Knowledge Transfer


Exploring Dual-task Correlation for Pose Guided Person Image Generation


Exploring Dynamic Load Balancing Algorithms for Block-Structured Mesh-and-Particle Simulations in AMReX


Exploring Economic Sectoral Dynamics Through High-resolution Mobility Data


Exploring Effective Factors for Improving Visual In-Context Learning


Exploring Effective Knowledge Transfer for Few-shot Object Detection


Exploring Effective Priors and Efficient Models for Weakly-Supervised Change Detection


Exploring Efficient Few-shot Adaptation for Vision Transformers


Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces


Exploring Empty Spaces: Human-in-the-Loop Data Augmentation


Exploring End-to-End Differentiable Natural Logic Modeling


Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective


Exploring Enhanced Contextual Information for Video-Level Object Tracking


Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning


Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings


Exploring Example Influence in Continual Learning


Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification


Exploring Explainable Selection to Control Abstractive Summarization


Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation


Exploring Exploration: Comparing Children with RL Agents in Unified Environments


Exploring Extreme Parameter Compression for Pre-trained Language Models


Exploring Factors Affecting Pedestrian Crash Severity Using TabNet: A Deep Learning Approach


Exploring Fake News Detection with Heterogeneous Social Media Context Graphs


Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation


Exploring Federated Pruning for Large Language Models


Exploring Federated Unlearning: Review, Comparison, and Insights


Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models


Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset


Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image Segmentation


Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification


Exploring Flip Flop memories and beyond: training recurrent neural networks with key insights


Exploring Format Consistency for Instruction Tuning


Exploring Foundation Models Fine-Tuning for Cytology Classification


Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability


Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking


Exploring GPT's Ability as a Judge in Music Understanding


Exploring Gender Bias Beyond Occupational Titles


Exploring Generalizable Distillation for Efficient Medical Image Segmentation


Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation


Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies


Exploring Generative Error Correction for Dysarthric Speech Recognition


Exploring Genetic-histologic Relationships in Breast Cancer


Exploring Geometry of Blind Spots in Vision Models


Exploring Gradient Flow Based Saliency for DNN Model Compression


Exploring Gradient-based Multi-directional Controls in GANs


Exploring Graph Representations of Logical Forms for Language Modeling


Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation


Exploring Graph-aware Multi-View Fusion for Rumor Detection on Social Media


Exploring Green AI for Audio Deepfake Detection


Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation


Exploring Hate Speech Detection in Multimodal Publications


Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education


Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification


Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation


Exploring Hint Generation Approaches in Open-Domain Question Answering


Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person ReID


Exploring Human Response Times to Combinations of Audio, Haptic, and Visual Stimuli from a Mobile Device


Exploring Human-Like Thinking in Search Simulations with Large Language Models


Exploring Human-Like Translation Strategy with Large Language Models


Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection


Exploring Hyperspectral Anomaly Detection with Human Vision: A Small Target Aware Detector


Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays


Exploring Implicit Visual Misunderstandings in Multimodal Large Language Models through Attention Analysis


Exploring In-Image Machine Translation with Real-World Background


Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation


Exploring Inevitable Waypoints for Unsolvability Explanation in Hybrid Planning Problems


Exploring Information Retrieval Landscapes: An Investigation of a Novel Evaluation Techniques and Comparative Document Splitting Methods


Exploring Intensity Invariance in Deep Neural Networks for Brain Image Registration


Exploring Inter-frequency Guidance of Image for Lightweight Gaussian Denoising


Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation


Exploring Intrinsic Bond Orbitals in Solids


Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation


Exploring Isolated Musical Notes as Pre-training Data for Predominant Instrument Recognition in Polyphonic Music


Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models


Exploring Iterative Refinement with Diffusion Models for Video Grounding


Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals


Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning


Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI


Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification


Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation


Exploring LLM Reasoning Through Controlled Prompt Variations


Exploring LLM Support for Generating IEC 61131-3 Graphic Language Programs


Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use


Exploring Language Model Generalization in Low-Resource Extractive QA


Exploring Large Context for Cerebral Aneurysm Segmentation


Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations


Exploring Large Language Models (LLMs) through interactive Python activities


Exploring Large Language Models and Hierarchical Frameworks for Classification of Large Unstructured Legal Documents


Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots


Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf


Exploring Large Language Models for Knowledge Graph Completion


Exploring Large Language Models for Ontology Alignment


Exploring Large Language Models for Word Games:Who is the Spy?


Exploring Latent Cross-Channel Embedding for Accurate 3D Human Pose Reconstruction in a Diffusion Framework


Exploring Latent Dimensions of Crowd-sourced Creativity


Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models


Exploring Latent Spaces of Tonal Music using Variational Autoencoders


Exploring Learning Rate Selection in Generalised Bayesian Inference using Posterior Predictive Checks


Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation


Exploring Linear Attention Alternative for Single Image Super-Resolution


Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift


Exploring Long- and Short-Range Temporal Information for Learned Video Compression


Exploring Long-Sequence Masked Autoencoders


Exploring Long-Term Prediction of Type 2 Diabetes Microvascular Complications


Exploring Longitudinal Effects of Session-based Recommendations


Exploring Lottery Ticket Hypothesis in Media Recommender Systems


Exploring Lottery Ticket Hypothesis in Spiking Neural Networks


Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing


Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing


Exploring Memorization in Adversarial Training


Exploring Meta Information for Audio-based Zero-shot Bird Classification


Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkien


Exploring Model Dynamics for Accumulative Poisoning Discovery


Exploring Model Kinship for Merging Large Language Models


Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness


Exploring Model Misspecification in Statistical Finite Elements via Shallow Water Equations


Exploring Model Transferability through the Lens of Potential Energy


Exploring Model-based Planning with Policy Networks


Exploring Models and Data for Image Question Answering


Exploring Models and Data for Remote Sensing Image Caption Generation


Exploring Modulated Detection Transformer as a Tool for Action Recognition in Videos


Exploring Molecule Generation Using Latent Space Graph Diffusion


Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery


Exploring Multi-Programming-Language Commits and Their Impacts on Software Quality: An Empirical Study on Apache Projects


Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification


Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization


Exploring Multilingual Concepts of Human Value in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?


Exploring Multilingual Syntactic Sentence Representations


Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning


Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data


Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and Findings


Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD


Exploring Mutual Cross-Modal Attention for Context-Aware Human Affordance Generation


Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning


Exploring Navigation Maps for Learning-Based Motion Prediction


Exploring Neural Entity Representations for Semantic Information


Exploring Neural Models for Query-Focused Summarization


Exploring Novel Object Recognition and Spontaneous Location Recognition Machine Learning Analysis Techniques in Alzheimer's Mice


Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks


Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation


Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection


Exploring One-Cell Inversion Method for Transient Transport on GPU


Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer


Exploring Operational Flexibility of Active Distribution Networks with Low Observability


Exploring Optimal Transport for Event-Level Anomaly Detection at the Large Hadron Collider


Exploring Overcomplete Representations for Single Image Deraining using CNNs


Exploring Paracrawl for Document-level Neural Machine Translation


Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms


Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models


Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair


Exploring Parity Challenges in Reinforcement Learning through Curriculum Learning with Noisy Labels


Exploring Partial Knowledge Base Inference in Biomedical Entity Linking


Exploring Partially Observed Networks with Nonparametric Bandits


Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks


Exploring Perceptual Limitation of Multimodal Large Language Models


Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models


Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health


Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model


Exploring Physics of Ferroelectric Domain Walls in Real Time: Deep Learning Enabled Scanning Probe Microscopy


Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study


Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark


Exploring Pose-Guided Imitation Learning for Robotic Precise Insertion


Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling


Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation


Exploring Precision and Recall to assess the quality and diversity of LLMs


Exploring Predicate Visual Context in Detecting Human-Object Interactions


Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity


Exploring Prime Number Classification: Achieving High Recall Rate and Rapid Convergence with Sparse Encoding


Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis


Exploring Prompting Large Language Models as Explainable Metrics


Exploring Proxying QUIC and HTTP/3 for Satellite Communication


Exploring Public Attention in the Circular Economy through Topic Modelling with Twin Hyperparameter Optimisation


Exploring QSAR Models for Activity-Cliff Prediction


Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators


Exploring Quantization for Efficient Pre-Training of Transformer Language Models


Exploring Quantum Perceptron and Quantum Neural Network structures with a teacher-student scheme


Exploring Question-Specific Rewards for Generating Deep Questions


Exploring RL-based LLM Training for Formal Language Tasks with Programmed Rewards


Exploring RWKV for Sentence Embeddings: Layer-wise Analysis and Baseline Comparison for Semantic Similarity


Exploring Randomly Wired Neural Networks for Climate Model Emulation


Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO Dataset


Exploring Recombination for Efficient Decoding of Neural Machine Translation


Exploring Relational Context for Multi-Task Dense Prediction


Exploring Relations among Fairness Notions in Discrete Fair Division


Exploring Relevant Artifacts of Release Notes: The Practitioners' Perspective


Exploring Representation of Horn Clauses using GNNs (Extended Technical Report)


Exploring Representation-Level Augmentation for Code Search


Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance


Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection


Exploring Retrieval Augmented Generation in Arabic


Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection


Exploring Richer and More Accurate Information via Frequency Selection for Image Restoration


Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery


Exploring Robustness of Image Recognition Models on Hardware Accelerators


Exploring Robustness of Multilingual LLMs on Real-World Noisy Data


Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation


Exploring SMEFT Induced Non-Standard Interactions from COHERENT to Neutrino Oscillations


Exploring Saliency Bias in Manipulation Detection


Exploring Scalability of Self-Training for Open-Vocabulary Temporal Action Localization


Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring


Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation


Exploring Security Practices in Infrastructure as Code: An Empirical Study


Exploring Segment Representations for Neural Segmentation Models


Exploring Segment-level Semantics for Online Phase Recognition from Surgical Videos


Exploring Selective Layer Fine-Tuning in Federated Learning


Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites


Exploring Self-Identified Counseling Expertise in Online Support Forums


Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning


Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis


Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis


Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments


Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation


Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications


Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment


Exploring Semantic Perturbations on Grover


Exploring Semi-bent Boolean Functions Arising from Cellular Automata


Exploring Semi-supervised Hierarchical Stacked Encoder for Legal Judgement Prediction


Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution


Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers


Exploring Simple Open-Vocabulary Semantic Segmentation


Exploring Simple and Transferable Recognition-Aware Image Processing


Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation


Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF


Exploring Social Media for Early Detection of Depression in COVID-19 Patients


Exploring Sound vs Vibration for Robust Fault Detection on Rotating Machinery


Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis


Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction


Exploring Sparsity for Parameter Efficient Fine Tuning Using Wavelets


Exploring Sparsity in Image Super-Resolution for Efficient Inference


Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds


Exploring Spatial Hybrid User Interface for Visual Sensemaking


Exploring Spatial Indexing for Accelerated Feature Retrieval in HPC


Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification


Exploring Spatial-Temporal Features for Deepfake Detection and Localization


Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction


Exploring Stochastic Autoregressive Image Modeling for Visual Representation


Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models


Exploring Stroke-Level Modifications for Scene Text Editing


Exploring Structure for Long-Term Tracking of Multiple Objects in Sports Videos


Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection


Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels


Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation


Exploring Swedish & English fastText Embeddings for NER with the Transformer


Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020)


Exploring Target Representations for Masked Autoencoders


Exploring Task Difficulty for Few-Shot Relation Extraction


Exploring Temporal Information Dynamics in Spiking Neural Networks


Exploring Temporally-Aware Features for Point Tracking


Exploring Test Time Adaptation for Subcortical Segmentation of the Fetal Brain in 3D Ultrasound


Exploring Text-Guided Single Image Editing for Remote Sensing Images


Exploring Text-Queried Sound Event Detection with Audio Source Separation


Exploring Text-to-Motion Generation with Human Preference


Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English


Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentation


Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks


Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic Segmentation


Exploring Tradeoffs in Spiking Neural Networks


Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters


Exploring Transfer Learning for Low Resource Emotional TTS


Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models


Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation


Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet


Exploring Transitivity in Neural NLI Models through Veridicality


Exploring Uncertainty Visualization for Degenerate Tensors in 3D Symmetric Second-Order Tensor Field Ensembles


Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization


Exploring Unfairness on Proof of Authority: Order Manipulation Attacks and Remedies


Exploring Universal Intrinsic Task Subspace via Prompt Tuning


Exploring Unknown Social Networks for Discovering Hidden Nodes


Exploring Unstructured Environments using Minimal Sensing on Cooperative Nano-Drones


Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection


Exploring Unsupervised Cell Recognition with Prior Self-activation Maps


Exploring Unsupervised Pretraining Objectives for Machine Translation


Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation


Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans


Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning


Exploring Versatile Prior for Human Motion via Motion Frequency Guidance


Exploring Video-Based Driver Activity Recognition under Noisy Labels


Exploring Vision-Language Models for Imbalanced Learning


Exploring Visual Engagement Signals for Representation Learning


Exploring Visual Interpretability for Contrastive Language-Image Pre-training


Exploring Visual Prompts for Adapting Large-Scale Models


Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition


Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems


Exploring Weight Symmetry in Deep Neural Networks


Exploring Wilderness Characteristics Using Explainable Machine Learning in Satellite Imagery


Exploring Workplace Behaviors through Speaking Patterns using Large-scale Multimodal Wearable Recordings: A Study of Healthcare Providers


Exploring WorldCat Identities as an altmetric information source: A library catalog analysis experiment in the field of Scientometrics


Exploring a Cognitive Architecture for Learning Arithmetic Equations


Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval


Exploring a Non-Minimal Sterile Neutrino Model Involving Decay at IceCube and Beyond


Exploring a Principled Framework for Deep Subspace Clustering


Exploring and Adapting Chinese GPT to Pinyin Input Method


Exploring and Applying Audio-Based Sentiment Analysis in Music


Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment


Exploring and Evaluating Image Restoration Potential in Dynamic Scenes


Exploring and Evaluating Interplays of BPpy with Deep Reinforcement Learning and Formal Methods


Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness


Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling


Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses


Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback


Exploring and Predicting Transferability across NLP Tasks


Exploring and Unleashing the Power of Large Language Models in Automated Code Translation


Exploring and Verbalizing Academic Ideas by Concept Co-occurrence


Exploring and steering the moral compass of Large Language Models


Exploring applications of topological data analysis in stock index movement prediction


Exploring aspects of similarity between spoken personal narratives by disentangling them into narrative clause types


Exploring black-hole scaling relations via the ensemble variability of Active Galactic Nuclei


Exploring chemical compound space with a graph-based recommender system


Exploring complex pattern formation with convolutional neural networks


Exploring deterministic frequency deviations with explainable AI


Exploring eFPGA-based Redaction for IP Protection


Exploring evolution-aware & -free protein language models as protein function predictors


Exploring extended Higgs sectors via pair production at the LHC


Exploring field-evolution and dynamical-capture coalescing binary black holes in GWTC-3


Exploring gene content with pangene graphs


Exploring helical dynamos with machine learning


Exploring how deep learning decodes anomalous diffusion via Grad-CAM


Exploring ideas in topological quantum phenomena: A journey through the SSH model


Exploring investor behavior in Bitcoin: a study of the disposition effect


Exploring kinase DFG loop conformational stability with AlphaFold2-RAVE


Exploring linearity of deep neural network trained QSM: QSMnet+


Exploring localization in nonlinear oscillator systems through network-based predictions


Exploring magnetic loops and serpentine fields in the quiet Sun with the GRIS-IFU


Exploring metallicity-dependent rates of Type Ia supernovae and their impact on galaxy formation


Exploring mixed lepton-quark interactions in non-resonant leptoquark production at the LHC


Exploring modality-agnostic representations for music classification


Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media


Exploring neural oscillations during speech perception via surrogate gradient spiking neural networks


Exploring news intent and its application: A theory-driven approach


Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images


Exploring pseudorandom value addition operations in datasets: A layered approach to escape from normal-Gaussian patterns


Exploring pulsar timing precision: A comparative study of polarization calibration methods for NANOGrav data from the Green Bank Telescope


Exploring reinforcement learning techniques for discrete and continuous control tasks in the MuJoCo environment


Exploring selection biases in FRB dispersion-galaxy cross-correlations with magnetohydrodynamical simulations


Exploring single-song autoencoding schemes for audio-based music structure analysis


Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction


Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous image augmentations


Exploring the Abelian 4D, $\mathcal{N}$ = 4 Vector-Tensor Supermultiplet and Its Off-Shell Central Charge Structure


Exploring the Adaptive Behaviors of Particle Lenia: A Perturbation-Response Analysis for Computational Agency


Exploring the Advantages of Transformers for High-Frequency Trading


Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics


Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability


Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images


Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers


Exploring the Benefits of Training Expert Language Models over Instruction Tuning


Exploring the Benefits of Visual Prompting in Differential Privacy


Exploring the Best Practices of Query Expansion with Large Language Models


Exploring the Boundaries of Semi-Supervised Facial Expression Recognition using In-Distribution, Out-of-Distribution, and Unconstrained Data


Exploring the Capabilities of LLMs for Code Change Related Tasks


Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions


Exploring the Capability of LLMs in Performing Low-Level Visual Analytic Tasks on SVG Data Visualizations


Exploring the Causality of End-to-End Autonomous Driving


Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning


Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling


Exploring the Connection Between Binary and Spiking Neural Networks


Exploring the Connection between Robust and Generative Models


Exploring the Coordination of Frequency and Attention in Masked Image Modeling


Exploring the Curious Case of Code Prompts


Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis


Exploring the Design Space of 3D MLLMs for CT Report Generation


Exploring the Design Space of Static and Incremental Graph Connectivity Algorithms on GPUs


Exploring the Design Space of Visual Context Representation in Video MLLMs


Exploring the Determinants of Pedestrian Crash Severity Using an AutoML Approach


Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks


Exploring the Dynamics of General Relativistic Binary-Single and Binary-Binary Encounters of Black Holes


Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning


Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1


Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning


Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers


Exploring the Effectiveness of Self-supervised Learning and Classifier Chains in Emotion Recognition of Nonverbal Vocalizations


Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality Assessment


Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis


Exploring the Efficacy of Pre-trained Checkpoints in Text-to-Music Generation Task


Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study


Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold


Exploring the Evolution of Altruistic Punishment with a PDE Model of Cultural Multilevel Selection


Exploring the Evolution of GANs through Quality Diversity


Exploring the Evolution of Hidden Activations with Live-Update Visualization


Exploring the Evolution of Physics Cognition in Video Generation: A Survey


Exploring the Expertise of Large Language Models in Materials Science and Metallurgical Engineering


Exploring the Feasibility of Affordable Sonar Technology: Object Detection in Underwater Environments Using the Ping 360


Exploring the Head Effect in Live Streaming Platforms: A Two-Sided Market and Welfare Analysis


Exploring the Impact of Code Style in Identifying Good Programmers


Exploring the Impact of Dataset Bias on Dataset Distillation


Exploring the Impact of Human Evaluator Group on Chat-Oriented Dialogue Evaluation


Exploring the Impact of Model Scaling on Parameter-Efficient Tuning


Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding


Exploring the Impact of Reflexivity Theory and Cognitive Social Structures on the Dynamics of Doctor-Patient Social System


Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning


Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation


Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation


Exploring the Impact of Tunable Agents in Sequential Social Dilemmas


Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation


Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering


Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series


Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators


Exploring the Interactive Guidance for Unified and Effective Image Matting


Exploring the Interplay Between Colorectal Cancer Subtypes Genomic Variants and Cellular Morphology: A Deep-Learning Approach


Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis


Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis


Exploring the Landscape of Natural Language Processing Research


Exploring the Latent Space of Autoencoders with Interventional Assays


Exploring the Learning Difficulty of Data Theory and Measure


Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning


Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation


Exploring the Limitations of Large Language Models in Compositional Relation Reasoning


Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings


Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks


Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection


Exploring the Limits of Vision-Language-Action Manipulations in Cross-task Generalization


Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations


Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation


Exploring the Link Between Test Suite Quality and Automatic Specification Inference


Exploring the Local Landscape in the Triangle Network


Exploring the Loss Landscape in Neural Architecture Search


Exploring the Low-Pass Filtering Behavior in Image Super-Resolution


Exploring the M-dwarf Luminosity--Temperature--Radius Relationships using Gaia DR2


Exploring the Mutual Influence between Self-Supervised Single-Frame and Multi-Frame Depth Estimation


Exploring the Naturalness of AI-Generated Images


Exploring the Online Micro-targeting Practices of Small, Medium, and Large Businesses


Exploring the Performance Improvement of Tensor Processing Engines through Transformation in the Bit-weight Dimension of MACs


Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms


Exploring the Performance of Pruning Methods in Neural Networks: An Empirical Study of the Lottery Ticket Hypothesis


Exploring the Political Agenda of the European Parliament Using a Dynamic Topic Modeling Approach


Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs


Exploring the Potential of Encoder-free Architectures in 3D LMMs


Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection


Exploring the Potential of Large Language Models in Computational Argumentation


Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses


Exploring the Potential of Large Language Models to Simulate Personality


Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English


Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction


Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR


Exploring the Potential of Polynomial Basis Functions in Kolmogorov-Arnold Networks: A Comparative Study of Different Groups of Polynomials


Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems


Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning


Exploring the Privacy Risks of Adversarial VR Game Design


Exploring the Promise and Limits of Real-Time Recurrent Learning


Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy


Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification


Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks


Exploring the Reliability of Self-explanation and its Relationship with Classification in Language Model-driven Financial Analysis


Exploring the Representation Power of SPLADE Models


Exploring the Representation of Word Meanings in Context: A Case Study on Homonymy and Synonymy


Exploring the Representational Power of Graph Autoencoder


Exploring the Reversal Curse and Other Deductive Logical Reasoning in BERT and GPT-Based Large Language Models


Exploring the Robustness of In-Context Learning with Noisy Labels


Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties


Exploring the Role of BERT Token Representations to Explain Sentence Probing Results


Exploring the Role of Diversity in Example Selection for In-Context Learning


Exploring the Role of Women in Hugging Face Organizations


Exploring the Role of the Bottleneck in Slot-Based Models Through Covariance Regularization


Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap


Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and Hyperparameters


Exploring the Sensory Spaces of English Perceptual Verbs in Natural Language Data


Exploring the Solar System with the NOIRLab Source Catalog I: Detecting Objects with CANFind


Exploring the Space of Black-box Attacks on Deep Neural Networks


Exploring the Spectrum of Visio-Linguistic Compositionality and Recognition


Exploring the Stability Gap in Continual Learning: The Role of the Classification Head


Exploring the State of the Art in Legal QA Systems


Exploring the Syntactic Abilities of RNNs with Multi-task Learning


Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant


Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales


Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization


Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations


Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy


Exploring the Transferability of Visual Prompting for Multimodal Large Language Models


Exploring the Trie of Rules: a fast data structure for the representation of association rules


Exploring the Universal Vulnerability of Prompt-based Learning Paradigm


Exploring the Use of Generative AI in the Search for Extraterrestrial Intelligence (SETI)


Exploring the Use of Static and Dynamic Analysis to Improve the Performance of the Mining Sandbox Approach for Android Malware Identification


Exploring the User Experience of AI-Assisted Sound Searching Systems for Creative Workflows


Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking


Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks


Exploring the Whole Rashomon Set of Sparse Decision Trees


Exploring the Zero-Shot Capabilities of LLMs Handling Multiple Problems at once


Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a Benchmark


Exploring the big data paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS)


Exploring the design space for nonlinear buckling of composite thin-walled lenticular tubes under pure bending


Exploring the dynamics of self-citations and their role in shaping scientific impact


Exploring the effectiveness of a COVID-19 contact tracing app using an agent-based model


Exploring the effects of activity-preserving time dilation on the dynamic interplay of airborne contagion processes and temporal networks using an interaction-driven model


Exploring the effects of robotic design on learning and neural control


Exploring the energy landscape of aluminas through machine learning interatomic potential


Exploring the generalizability of the optimal 0.234 acceptance rate in random-walk Metropolis and parallel tempering algorithms


Exploring the halo-galaxy connection with probabilistic approaches


Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF


Exploring the interaction between the MW and LMC with a large sample of blue horizontal branch stars from the DESI survey


Exploring the likelihood of the 21-cm power spectrum with simulation-based inference


Exploring the magnetic field of Helmholtz and Maxwell coils: a computer-based approach exploiting the superposition principle


Exploring the operational limits of poloidal and helical arrays of Mirnov coils in stellarators by means of a synthetic diagnostic


Exploring the optimality of approximate state preparation quantum circuits with a genetic algorithm


Exploring the potential of transfer learning for metamodels of heterogeneous material deformation


Exploring the relationship between performance metrics and cost saving potential of defect prediction models


Exploring the robustness of TractOracle methods in RL-based tractography


Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: a machine learning approach


Exploring the squeezed three-point galaxy correlation function with generalized halo occupation distribution models


Exploring the topics, sentiments and hate speech in the Spanish information environment


Exploring the tree of numerical semigroups


Exploring the validity of the complete case analysis for regression models with a right-censored covariate


Exploring through Random Curiosity with General Value Functions


Exploring validation metrics for offline model-based optimisation with diffusion models


Exploring vestibulo-ocular adaptation in a closed-loop neuro-robotic experiment using STDP. A simulation study


Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates


Explosive dismantling of two-dimensional random lattices under betweenness centrality attacks


ExpoCloud: a Framework for Time and Budget-Effective Parameter Space Explorations Using a Cloud Compute Engine


ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image Enhancement


Exponential Family Estimation via Adversarial Dynamics Embedding


Exponential Family Model-Based Reinforcement Learning via Score Matching


Exponential Graph is Provably Efficient for Decentralized Deep Training


Exponential Integrators for Phase-Field Equations using Pseudo-spectral Methods: A Python Implementation


Exponential Kernels with Latency in Hawkes Processes: Applications in Finance


Exponential Quantum Speedup for Simulating Classical Lattice Dynamics


Exponential Quantum Speedup for Simulation-Based Optimization Applications


Exponential Random Graph models for Little Networks


Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics


Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning


Exponential and Weibull models for spherical and spherical-shell diffusion-controlled release systems with semi-absorbing boundaries


Exponential canonical correlation analysis with orthogonal variation


Exponential escape efficiency of SGD from sharp minima in non-stationary regime


Exponential expressivity in deep neural networks through transient chaos


Exponential family measurement error models for single-cell CRISPR screens


Exponential sum approximations of finite completely monotonic functions


Exponential time differencing for matrix-valued dynamical systems


Exponential unitary integrators for nonseparable quantum Hamiltonians


Exponential-Size Neighborhoods for the Pickup-and-Delivery Traveling Salesman Problem


Exponentially Convergent Numerical Method for Abstract Cauchy Problem with Fractional Derivative of Caputo Type


Exponentially Converging Distributed Gradient Descent with Intermittent Communication via Hybrid Methods


Exponentially Decaying Quantum Simulation Error with Noisy Devices


Exponentially Larger Affine and Projective Caps


Exponentially vanishing sub-optimal local minima in multilayer neural networks


Exponentiation of Parametric Hamiltonians via Unitary interpolation


Exporting Ada Software to Python and Julia


Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks


Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models


Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifacts


Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing


Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election


Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights


Exposing Go's Hidden Bugs: A Novel Concolic Framework


Exposing Image Splicing Traces in Scientific Publications via Uncertainty-guided Refinement


Exposing Lip-syncing Deepfakes from Mouth Inconsistencies


Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models


Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images


Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition


Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data


Exposing Text-Image Inconsistency Using Diffusion Models


Exposing ambiguities in a relation-extraction gold standard with crowdsourcing


Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models


Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classification


Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations


Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection


Exposing the Unseen: Exposure Time Emulation for Offline Benchmarking of Vision Algorithms


Expository Text Generation: Imitate, Retrieve, Paraphrase


Exposure Bracketing Is All You Need For A High-Quality Image


Exposure Completing for Temporally Consistent Neural High Dynamic Range Video Rendering


Exposure Correction Model to Enhance Image Quality


Exposure Effects on Count Outcomes with Observational Data, with Application to Incarcerated Women


Exposure Trajectory Recovery from Motion Blur


ExposureDiffusion: Learning to Expose for Low-light Image Enhancement


Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic Privacy


Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer


Expressing Visual Relationships via Language


Expressing and Analyzing Quantum Algorithms with Qualtran


Expressing linear equality constraints in feedforward neural networks


Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers


Expression Syntax Information Bottleneck for Math Word Problems


Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control


Expression-aware video inpainting for HMD removal in XR applications


ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion


Expressive Body Capture: 3D Hands, Face, and Body from a Single Image


Expressive Explanations of DNNs by Combining Concept Analysis with ILP


Expressive Forecasting of 3D Whole-body Human Motions


Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking


Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation


Expressive Losses for Verified Robustness via Convex Combinations


Expressive MIDI-format Piano Performance Generation


Expressive Mortality Models through Gaussian Process Kernels


Expressive Music Data Processing and Generation


Expressive Power of Invariant and Equivariant Graph Neural Networks


Expressive Quantum Perceptrons for Quantum Neuromorphic Computing


Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases


Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization


Expressive Sign Equivariant Networks for Spectral Geometric Learning


Expressive Speech-driven Facial Animation with controllable emotions


Expressive Text-to-Image Generation with Rich Text


Expressive power of complex-valued restricted Boltzmann machines for solving non-stoquastic Hamiltonians


Expressive probabilistic sampling in recurrent neural networks


Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability


Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness


Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search


Expressivity of Planning with Horn Description Logic Ontologies (Technical Report)


Expresso : A user-friendly GUI for Designing, Training and Exploring Convolutional Neural Networks


ExtPerFC: An Efficient 2D and 3D Perception Hardware-Software Framework for Mobile Cobot


ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face Swapping


Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement


Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension


ExtendAttack: Attacking Servers of LRMs via Extending Reasoning


Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis


Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions"


Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso


Extended Delta-map: a map-based foreground removal method for CMB polarization observations


Extended Excess Hazard Models for Spatially Dependent Survival Data


Extended Fiducial Inference: Toward an Automated Process of Statistical Inference


Extended Formulations in Mixed Integer Conic Quadratic Programming


Extended Formulations via Decision Diagrams


Extended Friction Models for the Physics Simulation of Servo Actuators


Extended Kalman Filter State Estimation for Autonomous Competition Robots


Extended Kalman filter -- Koopman operator for tractable stochastic optimal control


Extended Paper: API-driven Program Synthesis for Testing Static Typing Implementations


Extended Persistent Homology Distinguishes Simple and Complex Contagions with High Accuracy


Extended Randomized Kaczmarz Method for Sparse Least Squares and Impulsive Noise Problems


Extended Self-similar Solution for Circumstellar Material-Supernova Ejecta Interaction


Extended Set Difference : Inverse Operation of Minkowski Summation


Extended Stochastic Block Models with Application to Criminal Networks


Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects


Extended U-Net for Speaker Verification in Noisy Environments


Extended URDF: Accounting for parallel mechanism in robot description


Extended critical regimes of deep neural networks


Extended degenerate perturbation theory for the Floquet-Hilbert space


Extended molt phenology models improve inferences about molt duration and timing


Extended one-dimensional reduced model for blood flow within a stenotic artery


Extended p-median problems for balancing service efficiency and equality


Extended reduced-order surrogate models for scalar-tensor gravity in the strong field and applications to binary pulsars and gravitational waves


Extended vehicle energy dataset (eVED): an enhanced large-scale dataset for deep learning on vehicle trip energy consumption


Extended-support beta regression for $[0, 1]$ responses


Extending Activation Steering to Broad Skills and Multiple Behaviours


Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions


Extending Bootstrap AMG for Clustering of Attributed Graphs


Extending Business Process Management for Regulatory Transparency


Extending C++ for Heterogeneous Quantum-Classical Computing


Extending CLIP for Category-to-image Retrieval in E-commerce


Extending Compositional Attention Networks for Social Reasoning in Videos


Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains


Extending Context Window of Large Language Models from a Distributional Perspective


Extending Cox Proportional Hazards Model with Symbolic Non-Linear Log-Risk Functions for Survival Analysis


Extending Environments To Measure Self-Reflection In Reinforcement Learning


Extending FEniCS to Work in Higher Dimensions Using Tensor Product Finite Elements


Extending GCC-PHAT using Shift Equivariant Neural Networks


Extending High-Level Synthesis for Task-Parallel Programs


Extending Information Bottleneck Attribution to Video Sequences


Extending Isabelle/HOL's Code Generator with support for the Go programming language


Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms


Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation


Extending LLMs' Context Window with 100 Samples


Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models


Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving


Extending Models Via Gradient Boosting: An Application to Mendelian Models


Extending Monocular Visual Odometry to Stereo Camera Systems by Scale Optimization


Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations


Extending Multi-modal Contrastive Representations


Extending Neural Keyword Extraction with TF-IDF tagset matching


Extending On-chain Trust to Off-chain -- Trustworthy Blockchain Data Collection using Trusted Execution Environment (TEE)


Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling


Extending Phrase Grounding with Pronouns in Visual Dialogues


Extending Pretrained Segmentation Networks with Additional Anatomical Structures


Extending Regev's factoring algorithm to compute discrete logarithms


Extending SEEDS to a Supervoxel Algorithm for Medical Image Analysis


Extending SMTCoq, a Certified Checker for SMT (Extended Abstract)


Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries


Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between Agents


Extending Text-to-Speech Synthesis with Articulatory Movement Prediction using Ultrasound Tongue Imaging


Extending Token Computation for LLM Reasoning


Extending Transition Path Theory: Periodically-Driven and Finite-Time Dynamics


Extending Whisper with prompt tuning to target-speaker ASR


Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples


Extending a grid of hydrodynamic planetary upper atmosphere models


Extending an Event-type Ontology: Adding Verbs and Classes Using Fine-tuned LLMs Suggestions


Extending and Analyzing Self-Supervised Learning Across Domains


Extending cosmological tests of General Relativity with the Square Kilometre Array


Extending global-local view alignment for self-supervised learning with remote sensing imagery


Extending intraday solar forecast horizons with deep generative models


Extending nn-UNet for brain tumor segmentation


Extending quantum probabilistic error cancellation by noise scaling


Extending rational models of communication from beliefs to actions


Extending the Chemical Reach of the H3 Survey: Detailed Abundances of the Dwarf-galaxy Stellar Stream Wukong/LMS-1


Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman


Extending the Mann-Kendall test to allow for measurement uncertainty


Extending the Metasploit Framework to Implement an Evasive Attack Infrastructure


Extending the OSLC standard for ECA-based automation in DevOps environments


Extending the PSLQ Algorithm to Algebraic Integer Relations


Extending the SAGA Survey (xSAGA) I: Satellite Radial Profiles as a Function of Host Galaxy Properties


Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains


Extending the Sunspot Area Series from Kodaikanal Solar Observatory


Extending the blended generalized extreme value distribution


Extensible Database Simulator for Fast Prototyping In-Database Algorithms


Extensible Multi-Granularity Fusion Network for Aspect-based Sentiment Analysis


Extensions to Generalized Disjunctive Programming: Hierarchical Structures and First-order Logic


Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction


Extensive Self-Contrast Enables Feedback-Free Language Model Alignment


Extent-Compatible Control Barrier Functions


Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints


External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway


External Forces Resilient Safe Motion Planning for Quadrotor


External Incremental Delaunay Triangulation


External Knowledge Injection for CLIP-Based Class-Incremental Learning


External Knowledge Selection with Weighted Negative Sampling in Knowledge-grounded Task-oriented Dialogue Systems


External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling


External Reasoning: Towards Multi-Large-Language-Models Interchangeable Assistance with Human Feedback


External field and critical exponents in controlling dynamics on complex networks


External memory BWT and LCP computation for sequence collections with applications


External photoevaporation of circumstellar disks constrains the timescale for planet formation


Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 Dataset


Extinction of bistable populations is affected by the shape of their initial spatial distribution


Extinction towards the cluster R136 in the Large Magellanic Cloud: An extinction law from the near-infrared to the ultraviolet


Extra-Gradient Method with Flexible Anchoring: Strong Convergence and Fast Residual Decay


Extract Free Dense Misalignment from CLIP


Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data Regimes


Extract and Characterize Hairpin Vortices in Turbulent Flows


Extract cleaned Swift/UVOT UV grism spectra with uvotpy package


Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework


Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction


Extract, Integrate, Compete: Towards Verification Style Reading Comprehension


Extract-Transform-Load for Video Streams


Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery


ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction


Extracted BERT Model Leaks More Information than You Think!


Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection


Extracting Affect Aggregates from Longitudinal Social Media Data with Temporal Adapters for Large Language Models


Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples


Extracting Basic Graph Patterns from Triple Pattern Fragment Logs


Extracting Biological Pathway Models From NLP Event Representations


Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text


Extracting Class Activation Maps from Non-Discriminative Features as well


Extracting Cultural Commonsense Knowledge at Scale


Extracting Definienda in Mathematical Scholarly Articles with Transformers


Extracting Deformation-Aware Local Features by Learning to Deform


Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning


Extracting Domain-specific Concepts from Large-scale Linked Open Data


Extracting Effective Subnetworks with Gumbel-Softmax


Extracting Entities and Topics from News and Connecting Criminal Records


Extracting Entities of Interest from Comparative Product Reviews


Extracting Event Temporal Relations via Hyperbolic Geometry


Extracting Event-Centric Document Collections from Large-Scale Web Archives


Extracting Formal Specifications from Documents Using LLMs for Automated Testing


Extracting GHZ states from linear cluster states


Extracting Global Dynamics of Loss Landscape in Deep Learning Models


Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches


Extracting Implicitly Asserted Propositions in Argumentation


Extracting Interpretable Local and Global Representations from Attention on Time Series


Extracting Interpretable Models from Tree Ensembles: Computational and Statistical Perspectives


Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning


Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference


Extracting JSON Schemas with Tagged Unions


Extracting Keywords from Open-Ended Business Survey Questions


Extracting Label-specific Key Input Features for Neural Code Intelligence Models


Extracting Latent Steering Vectors from Pretrained Language Models


Extracting Linear Relations from Gröbner Bases for Formal Verification of And-Inverter Graphs


Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework


Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation


Extracting Multi-valued Relations from Language Models


Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers


Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation


Extracting Polymer Nanocomposite Samples from Full-Length Documents


Extracting Prompts by Inverting LLM Outputs


Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information


Extracting Quantum Many-Body Scarred Eigenstates with Matrix Product States


Extracting Reward Functions from Diffusion Models


Extracting Rules from Event Data for Study Planning


Extracting Scientific Figures with Distantly Supervised Neural Networks


Extracting Sentiment Attitudes From Analytical Texts


Extracting Signal out of Chaos: Advancements on MAGI for Bayesian Analysis of Dynamical Systems


Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods


Extracting Space Situational Awareness Events from News Text


Extracting Sparse High-Dimensional Dynamics from Limited Data


Extracting Stochastic Governing Laws by Nonlocal Kramers-Moyal Formulas


Extracting Summary Knowledge Graphs from Long Documents


Extracting Temporal Event Relation with Syntax-guided Graph Transformer


Extracting Triangular 3D Models, Materials, and Lighting From Images


Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection


Extracting and Analyzing Semantic Relatedness between Cities Using News Articles


Extracting and Emulsifying Cultural Explanation to Improve Multilingual Capability of LLMs


Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation


Extracting and Inferring Personal Attributes from Dialogue


Extracting and Understanding the Superficial Knowledge in Alignment


Extracting and filtering paraphrases by bridging natural language inference and paraphrasing


Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks


Extracting coherent sets in aperiodically driven flows from generators of Mather semigroups


Extracting cosmological parameters from N-body simulations using machine learning techniques


Extracting human interpretable structure-property relationships in chemistry using XAI and large language models


Extracting polygonal footprints in off-nadir images with Segment Anything Model


Extracting temporal features into a spatial domain using autoencoders for sperm video analysis


Extracting the Auditory Attention in a Dual-Speaker Scenario from EEG using a Joint CNN-LSTM Model


Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification


Extracting the Multiscale Causal Backbone of Brain Dynamics


Extracting the Signal of Cosmic String Wakes from 21-cm Observations


Extracting the U.S. building types from OpenStreetMap data


Extracting the multimodal fingerprint of urban transportation networks


Extraction and Analysis of Dynamic Conversational Networks from TV Series


Extraction and Analysis of Fictional Character Networks: A Survey


Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models


Extraction of Material Properties through Multi-fidelity Deep Learning from Molecular Dynamics Simulation


Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding


Extraction of common conceptual components from multiple ontologies


Extraction of evidence tables from abstracts of randomized clinical trials using a maximum entropy classifier and global constraints


Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data


Extraction of the neutron F2 structure function from inclusive proton and deuteron deep-inelastic scattering data


Extractive Opinion Summarization in Quantized Transformer Spaces


Extractive Research Slide Generation Using Windowed Labeling Ranking


Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts


Extractive Summarization as Text Matching


Extractive Summarization of Long Documents by Combining Global and Local Context


Extractive Summarization using Deep Learning


Extractive Summarization via Weighted Dissimilarity and Importance Aligned Key Iterative Algorithm


Extractive Summarizer for Scholarly Articles


Extractive approach for text summarisation using graphs


Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization


Extrae.jl: Julia bindings for the Extrae HPC Profiler


Extragradient Method: $O(1/K)$ Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity


Extragradient method with feasible inexact projection to variational inequality problem


Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration


Extrapolated cross-validation for randomized ensembles


Extrapolating Expected Accuracies for Large Multi-Class Problems


Extrapolating Jet Radiation with Autoregressive Transformers


Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs


Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think


Extrapolating paths with graph neural networks


Extrapolation of Relative Treatment Effects using Change-point Survival Models


Extrapolation-Aware Nonparametric Statistical Inference


Extrapolative Controlled Sequence Generation via Iterative Refinement


Extratropical low-frequency variability with ENSO forcing: A reduced-order coupled model study


Extremal Black Holes as Relativistic Systems with Kepler Dynamics


Extremal Event Graphs: A (Stable) Tool for Analyzing Noisy Time Series Data


Extremal attractors of Liouville copulas


Extremal graph realizations and graph Laplacian eigenvalues


Extremal learning: extremizing the output of a neural network in regression problems


Extremal problems for surfaces of prescribed topological type (1)


Extremal values of degree-based entropies of bipartite graphs


Extreme & High Synchrotron Peak $\rm γ$-ray Blazars beyond 4FGL: The 2BIGB $\rm γ$-ray catalog


Extreme 3D Face Reconstruction: Seeing Through Occlusions


Extreme Adaptation for Personalized Neural Machine Translation


Extreme Algorithm Selection With Dyadic Feature Representation


Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products


Extreme Classification via Adversarial Softmax Approximation


Extreme Compressed Sensing of Poisson Rates from Multiple Measurements


Extreme Deconvolution Reimagined: Conditional Densities via Neural Networks and an Application in Quasar Classification


Extreme Divisors on $\bar{M}_{0,7}$ and Differences over Characteristic 2


Extreme Learning Machine design for dealing with unrepresentative features


Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories


Extreme MRI: Large-Scale Volumetric Dynamic Imaging from Continuous Non-Gated Acquisitions


Extreme Memorization via Scale of Initialization


Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer Transformers


Extreme Precipitation Nowcasting using Transformer-based Generative Models


Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion


Extreme Relative Pose Network under Hybrid Representations


Extreme Rotation Estimation using Dense Correlation Volumes


Extreme Scale Survey Simulation with Python Workflows


Extreme Value Statistics for Analysing Simulated Environmental Extremes


Extreme Value Statistics of the Halo and Stellar Mass Distributions at High Redshift: are JWST Results in Tension with ΛCDM?


Extreme Video Compression with Pre-trained Diffusion Models


Extreme Volatility Prediction in Stock Market: When GameStop meets Long Short-Term Memory Networks


Extreme Weather Variability on Hot Rocky Exoplanet 55 Cancri e Explained by Magma Temperature-Cloud Feedback


Extreme close approaches in hierarchical triple systems with comparable masses


Extreme coverage in 5G Narrowband IoT: a LUT-based strategy to optimize shared channels


Extreme mass ratio inspirals and tidal disruption events in nuclear clusters. I. Time dependent rates


Extreme mass ratio inspirals into black holes surrounded by matter


Extreme multistability in symmetrically coupled clocks


Extreme precipitation events in the Mediterranean: Spatiotemporal characteristics and connection to large-scale atmospheric flow patterns


Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired Neural Networks for the 3D microstructure evolution of materials via Cahn-Hilliard flow


Extreme values of the mass distribution associated with $d$-quasi-copulas via linear programming


Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors


Extreme-value modelling of migratory bird arrival dates: Insights from citizen science data


ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT


ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast


ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events


Extremely Dense Point Correspondences using a Learned Feature Descriptor


Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild


Extremely Low-light Image Enhancement with Scene Text Restoration


Extremely Simple Activation Shaping for Out-of-Distribution Detection


Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation


Extremely weakly-supervised blood vessel segmentation with physiologically based synthesis and domain adaptation


Extremes in High Dimensions: Methods and Scalable Algorithms


Extrinsic Calibration of Multiple Inertial Sensors from Arbitrary Trajectories


Extrinsic Camera Calibration with Semantic Segmentation


Extrinsic Evaluation of Cultural Competence in Large Language Models


Extrinsic Kernel Ridge Regression Classifier for Planar Kendall Shape Space


Extroversion or Introversion? Controlling The Personality of Your Large Language Models


ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing


EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics


Eye Motion Matters for 3D Face Reconstruction


Eye Semantic Segmentation with a Lightweight Model


Eye in the Sky: Detection and Compliance Monitoring of Brick Kilns using Satellite Imagery


Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning


Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models


EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design


EyeNavGS: A 6-DoF Navigation Dataset and Record-n-Replay Software for Real-World 3DGS Scenes in VR


EyePreserve: Identity-Preserving Iris Synthesis


EyeTrans: Merging Human and Machine Attention for Neural Code Summarization


EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model


Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs


Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring Tasks


Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading


F -- A Model of Events based on the Foundational Ontology DOLCE+DnS Ultralite


F$^3$Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos


F$^{2}$-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories


F-BLEAU: Fast Black-box Leakage Estimation


F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling


F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams


F-KANs: Federated Kolmogorov-Arnold Networks


F-LMM: Grounding Frozen Large Multimodal Models


F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning


F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information


F-T-LSTM based Complex Network for Joint Acoustic Echo Cancellation and Speech Enhancement


F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models


F-ViTA: Foundation Model Guided Visible to Thermal Translation


F-measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets


F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering


F1-EV Score: Measuring the Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection


F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving


F2DNet: Fast Focal Detection Network for Pedestrian Detection


F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation


F3: Fair and Federated Face Attribute Classification with Heterogeneous Data


F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching


F5C-finder: An Explainable and Ensemble Biological Language Model for Predicting 5-Formylcytidine Modifications on mRNA


F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization


FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation


FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays


FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection


FAA-CLIP: Federated Adversarial Adaptation of CLIP


FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos


FABLE : Fabric Anomaly Detection Automation Process


FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation


FABLE: Fast Approximate Quantum Circuits for Block-Encodings


FABRIC: Personalizing Diffusion Models with Iterative Feedback


FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Reality


FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning


FACMIC: Federated Adaptative CLIP Model for Medical Image Classification


FACOS: Enabling Privacy Protection Through Fine-Grained Access Control with On-chain and Off-chain System


FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?


FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models


FACT: A Full-body Ad-hoc Collaboration Testbed for Modeling Complex Teamwork


FACT: Fast and Active Coordinate Initialization for Vision-based Drone Swarms


FACT: Federated Adversarial Cross Training


FACT: Foundation Model for Assessing Cancer Tissue Margins with Mass Spectrometry


FACTOID: A New Dataset for Identifying Misinformation Spreaders and Political Bias


FACTS: A Factored State-Space Framework For World Modelling


FACTS: First Amplify Correlations and Then Slice to Discover Bias


FACTors: A New Dataset for Studying the Fact-checking Ecosystem


FADAS: Towards Federated Adaptive Asynchronous Optimization


FADE: A Dataset for Detecting Falling Objects around Buildings in Video


FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes


FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model


FADE: Forecasting for Anomaly Detection on ECG


FADE: Frequency-Aware Diffusion Model Factorization for Video Editing


FADE: Why Bad Descriptions Happen to Good Features


FADEC: FPGA-based Acceleration of Video Depth Estimation by HW/SW Co-design


FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs


FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation


FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention


FAHT: An Adaptive Fairness-aware Decision Tree Classifier


FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning


FAILS: A Framework for Automated Collection and Analysis of LLM Service Incidents


FAIR EVA: Bringing institutional multidisciplinary repositories into the FAIR picture


FAIR GPT: A virtual consultant for research data management in ChatGPT


FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset


FAIR-FATE: Fair Federated Learning with Momentum


FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations


FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection


FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations


FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality


FAIRY: A Framework for Understanding Relationships between Users' Actions and their Social Feeds


FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flow


FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs


FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting


FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models


FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation


FAKEPCD: Fake Point Cloud Detection via Source Attribution


FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering


FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design


FALCON: Fast Autonomous Aerial Exploration using Coverage Path Guidance


FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system


FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning


FALCON: Scalable Reasoning over Inconsistent ALC Ontologies


FALL-E: A Foley Sound Synthesis Model and Strategies


FALQU: Finding Answers to Legal Questions


FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes


FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks


FAME: 3D Shape Generation via Functionality-Aware Model Evolution


FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes


FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations


FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network


FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow


FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering


FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation


FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation


FANDA: A Novel Approach to Perform Follow-up Query Analysis


FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection


FANG: Leveraging Social Context for Fake News Detection Using Graph Representation


FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things


FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation


FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation


FANet: Feature Amplification Network for Semantic Segmentation in Cluttered Background


FANformer: Improving Large Language Models Through Effective Periodicity Modeling


FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation


FAPE: a Constraint-based Planner for Generative and Hierarchical Temporal Planning


FAPM: Fast Adaptive Patch Memory for Real-time Industrial Anomaly Detection


FAR Planner: Fast, Attemptable Route Planner using Dynamic Visibility Update


FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation


FARE: Provably Fair Representation Learning with Practical Certificates


FARSEC: A Reproducible Framework for Automatic Real-Time Vehicle Speed Estimation Using Traffic Cameras


FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation


FAS: Fast ANN-SNN Conversion for Spiking Large Language Models


FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation


FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech Data


FASER: Binary Code Similarity Search through the use of Intermediate Representations


FASSILA: A Corpus for Algerian Dialect Fake News Detection and Sentiment Analysis


FAST-Dynamic-Vision: Detection and Tracking Dynamic Objects with Event and Depth Sensing


FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry


FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification


FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation


FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models


FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud


FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model


FASURA: A Scheme for Quasi-Static Massive MIMO Unsourced Random Access Channels


FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions


FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERT


FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation


FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data


FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data


FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks


FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition


FAVAE: Sequence Disentanglement using Information Bottleneck Principle


FAVER: Blind Quality Prediction of Variable Frame Rate Videos


FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems


FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone


FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information


FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests


FB$^+$-tree: A Memory-Optimized B$^+$-tree with Latch-Free Update


FB-4D: Spatial-Temporal Coherent Dynamic 3D Content Generation with Feature Banks


FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback


FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation


FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface


FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer Interfaces


FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning


FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference


FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation


FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation


FBQ 0951+2635: time delay and structure of the main lensing galaxy


FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation


FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation


FBase: A Replication Service for Data-Intensive Fog Applications


FC$^2$N: Fully Channel-Concatenated Network for Single Image Super-Resolution


FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting


FC-KAN: Function Combinations in Kolmogorov-Arnold Networks


FC-Planner: A Skeleton-guided Planning Framework for Fast Aerial Coverage of Complex 3D Scenes


FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack


FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring


FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data


FCCDN: Feature Constraint Network for VHR Image Change Detection


FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting


FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction


FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction


FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systems


FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps


FCN-Transformer Feature Fusion for Polyp Segmentation


FCN4Flare: Fully Convolution Neural Networks for Flare Detection


FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction


FCNR: Fast Compressive Neural Representation of Visualization Images


FCNet: A Convolutional Neural Network for Arbitrary-Length Exposure Estimation


FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis


FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning


FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech Synthesis


FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models


FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs


FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification


FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images


FDA-Opt: Communication-Efficient Federated Fine-Tuning of Language Models


FDA: Fourier Domain Adaptation for Semantic Segmentation


FDAPT: Federated Domain-adaptive Pre-training for Language Models


FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder


FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization


FDCT: Fast Depth Completion for Transparent Objects


FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval


FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling


FDFB: Full Domain Functional Bootstrapping Towards Practical Fully Homomorphic Encryption


FDG: A Precise Measurement of Fault Diagnosability Gain of Test Cases


FDI: Attack Neural Code Generation Systems through User Feedback Channel


FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks


FDN: Finite Difference Network with Hierarchical Convolutional Features for Text-independent Speaker Verification


FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing


FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting


FDP control in multivariate linear models using the bootstrap


FDQN: A Flexible Deep Q-Network Framework for Game Automation


FDR-Corrected Sparse Canonical Correlation Analysis with Applications to Imaging Genomics


FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization


FDSPC: Fast and Direct Smooth Path Planning via Continuous Curvature Integration


FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph


FE-DeTr: Keypoint Detection and Tracking in Low-quality Image Frames with Events


FE-GUT: Factor Graph Optimization hybrid with Extended Kalman Filter for tightly coupled GNSS/UWB Integration


FE-PINNs: finite-element-based physics-informed neural networks for surrogate modeling


FEABench: Evaluating Language Models on Multiphysics Reasoning Ability


FEALLM: Advancing Facial Emotion Analysis in Multimodal Large Language Models with Emotional Synergy and Reasoning


FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation


FEAR: Fast, Efficient, Accurate and Robust Visual Tracker


FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data


FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation


FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching


FEC: Fast Euclidean Clustering for Point Cloud Segmentation


FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network


FED-NeRF: Achieve High 3D Consistency and Temporal Coherence for Face Video Editing on Dynamic NeRF


FED: Fast and Efficient Dataset Deduplication Framework with GPU Acceleration


FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification


FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation


FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection


FEDZIP: A Compression Framework for Communication-Efficient Federated Learning


FEEL: A Framework for Evaluating Emotional Support Capability with Large Language Models


FEET: A Framework for Evaluating Embedding Techniques


FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources


FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems


FELM: Benchmarking Factuality Evaluation of Large Language Models


FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems


FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments


FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction


FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction


FENet: Focusing Enhanced Network for Lane Detection


FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization


FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space


FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning


FERGI: Automatic Scoring of User Preferences for Text-to-Image Generation from Spontaneous Facial Expression Reaction


FERIA: Flat Envelope Model with Rotation and Infall under Angular Momentum Conservation


FERMAT: An Alternative to Accuracy for Numerical Reasoning


FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis


FESSNC: Fast Exponentially Stable and Safe Neural Controller


FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds


FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue


FETA: Towards Specializing Foundation Models for Expert Task Applications


FETILDA: An Effective Framework For Fin-tuned Embeddings For Long Financial Text Documents


FETNet: Feature Erasing and Transferring Network for Scene Text Removal


FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation


FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection


FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information


FEbeam: Cavity and Electron Emission Data Conversion, Processing and Analysis. A Freeware Toolkit for RF Injectors


FEniCSx Preconditioning Tools (FEniCSx-pctools)


FF-LINS: A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State Estimator


FF-NSL: Feed-Forward Neural-Symbolic Learner


FF-SRL: High Performance GPU-Based Surgical Simulation For Robot Learning


FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant


FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors


FFAVOD: Feature Fusion Architecture for Video Object Detection


FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods


FFCI: A Framework for Interpretable Automatic Evaluation of Summarization


FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification


FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction


FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus


FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos


FFNet: Video Fast-Forwarding via Reinforcement Learning


FFORMPP: Feature-based forecast model performance prediction


FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects


FFT and orthogonal discrete transform on weight lattices of semi-simple Lie groups


FFT-based Dynamic Token Mixer for Vision


FFT-based Homogenization at Finite Strains using Composite Boxels (ComBo)


FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity


FG-CLIP: Fine-Grained Visual and Textual Alignment


FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation


FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features


FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling


FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG


FGAHOI: Fine-Grained Anchors for Human-Object Interaction Detection


FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation


FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection


FGN: Fusion Glyph Network for Chinese Named Entity Recognition


FGOT: Graph Distances based on Filters and Optimal Transport


FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning


FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection


FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement Learning


FGo: A Directed Grey-box Fuzzer with Probabilistic Exponential cut-the-loss Strategies


FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning


FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare