AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks


AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification


AGNBoost: A Machine Learning Approach to AGN Identification with JWST/NIRCam+MIRI Colors and Photometry


AGNI: In-Situ, Iso-Latency Stochastic-to-Binary Number Conversion for In-DRAM Deep Learning


AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification


AGORA: Avatars in Geography Optimized for Regression Analysis


AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection


AGRNav: Efficient and Energy-Saving Autonomous Navigation for Air-Ground Robots in Occlusion-Prone Environments


AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization


AGS-GNN: Attribute-guided Sampling for Graph Neural Networks


AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification


AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generation


AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions


AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach


AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy


AHP: Learning to Negative Sample for Hyperedge Prediction


AI AI Bias: Large Language Models Favor Their Own Generated Content


AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis


AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art


AI Assistants for Incident Lifecycle in a Microservice Environment: A Systematic Literature Review


AI Can Enhance Creativity in Social Networks


AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding


AI Choreographer: Music Conditioned 3D Dance Generation with AIST++


AI Code Generators for Security: Friend or Foe?


AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation


AI Control: Improving Safety Despite Intentional Subversion


AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers


AI Descartes: Combining Data and Theory for Derivable Scientific Discovery


AI Does Not Alter Perceptions of Text Messages


AI Driven Water Segmentation with deep learning models for Enhanced Flood Monitoring


AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security


AI Expands Scientists' Impact but Contracts Science's Focus


AI Foundation Models for Wearable Movement Data in Mental Health Research


AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities


AI Harmonizer: Expanding Vocal Expression with a Generative Neurosymbolic Music AI System


AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator


AI Illustrator: Translating Raw Descriptions into Images by Prompt-based Cross-Modal Generation


AI Increases Global Access to Reliable Flood Forecasts


AI Insights into Theoretical Physics and the Swampland Program: A Journey Through the Cosmos with ChatGPT


AI Knows Which Words Will Appear in Next Year's Korean CSAT


AI Olympics challenge with Evolutionary Soft Actor Critic


AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning


AI Powered Road Network Prediction with Multi-Modal Data


AI Predicts AGI: Leveraging AGI Forecasting and Peer Review to Explore LLMs' Complex Reasoning Capabilities


AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench


AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content


AI Sandbagging: Language Models can Strategically Underperform on Evaluations


AI Standardized Patient Improves Human Conversations in Advanced Cancer Care


AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles


AI Work Quantization Model: Closed-System AI Computational Effort Metric


AI and the Problem of Knowledge Collapse


AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text


AI auditing: The Broken Bus on the Road to AI Accountability


AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers


AI for Porosity and Permeability Prediction from Geologic Core X-Ray Micro-Tomography


AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics


AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text


AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification


AI-Assisted Causal Pathway Diagram for Human-Centered Design


AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models


AI-Assisted Generation of Difficult Math Questions


AI-Assisted Rapid Crystal Structure Generation Towards a Target Local Environment


AI-Driven Automated Tool for Abdominal CT Body Composition Analysis in Gastrointestinal Cancer Management


AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa


AI-Driven Consensus: Modeling Multi-Agent Networks with Long-Range Interactions through path-Laplacian Matrices


AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics


AI-Driven Discovery of High Performance Polymer Electrodes for Next-Generation Batteries


AI-Driven Hybrid Ecological Model for Predicting Oncolytic Viral Therapy Dynamics


AI-Driven Physics-Informed Bio-Silicon Intelligence System: Integrating Hybrid Systems, Biocomputing, Neural Networks, and Machine Learning, for Advanced Neurotechnology


AI-Driven Relocation Tracking in Dynamic Kitchen Environments


AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking


AI-Enhanced 7-Point Checklist for Melanoma Detection Using Clinical Knowledge Graphs and Data-Driven Quantification


AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts


AI-Enhanced Pediatric Pneumonia Detection: A CNN-Based Approach Using Data Augmentation and Generative Adversarial Networks (GANs)


AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark


AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images


AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network


AI-Generated Images as Data Source: The Dawn of Synthetic Era


AI-Generated Video Detection via Spatio-Temporal Anomaly Learning


AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation


AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression


AI-Newton: A Concept-Driven Physical Law Discovery System without Prior Physical Knowledge


AI-Powered Algorithm-Centric Quantum Processor Topology Design


AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural Networks


AI-Ready Energy Modelling for Next Generation RAN


AI-Researcher: Autonomous Scientific Innovation


AI-SAM: Automatic and Interactive Segment Anything Model


AI-Synthesized Voice Detection Using Neural Vocoder Artifacts


AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs


AI-UPV at EXIST 2023 -- Sexism Characterization Using Large Language Models Under The Learning with Disagreements Regime


AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models


AI-University: An LLM-based platform for instructional alignment to scientific classrooms


AI-accelerated Discovery of Altermagnetic Materials


AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT


AI-assisted coding: Experiments with GPT-4


AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns


AI-assisted super-resolution cosmological simulations IV: An emulator for deterministic realizations


AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics


AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems


AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance


AI-coherent data-driven forecasting model for a combined cycle power plant


AI-driven Java Performance Testing: Balancing Result Quality with Testing Time


AI-driven Personalized Privacy Assistants: a Systematic Literature Review


AI-driven Prices for Externalities and Sustainability in Production Markets


AI-driven multi-source data fusion for algal bloom severity classification in small inland water bodies: Leveraging Sentinel-2, DEM, and NOAA climate data


AI-driven projection tomography with multicore fibre-optic cell rotation


AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography


AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors


AI-enhanced on-the-fly simulation of nonlinear time-resolved spectra


AI-generated Image Detection: Passive or Watermark?


AI-generated Image Quality Assessment in Visual Communication


AI-guided inverse design and discovery of recyclable vitrimeric polymers


AI-powered virtual tissues from spatial proteomics for clinical diagnostics and biomedical discovery


AI.vs.Clinician: Unveiling Intricate Interactions Between AI and Clinicians through an Open-Access Database


AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages


AI4Food-NutritionFW: A Novel Framework for the Automatic Synthesis and Analysis of Eating Behaviours


AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities


AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization


AICL: Action In-Context Learning for Video Diffusion Model


AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling


AID: Attention Interpolation of Text-to-Image Diffusion


AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems


AID: Open-source Anechoic Interferer Dataset


AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms


AIDA: Analytic Isolation and Distance-based Anomaly Detection Algorithm


AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception


AIDetx: a compression-based method for identification of machine-learning generated text


AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image Segmentation


AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI


AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence


AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images


AIGCs Confuse AI Too: Investigating and Explaining Synthetic Image-induced Hallucinations in Large Vision-Language Models


AIGS: Generating Science from AI-Powered Automated Falsification


AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM


AIGVE-Tool: AI-Generated Video Evaluation Toolkit with Multifaceted Benchmark


AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis


AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question Answering


AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results


AIM 2020 Challenge on Image Extreme Inpainting


AIM 2020: Scene Relighting and Illumination Estimation Challenge


AIM 2024 Challenge on Video Saliency Prediction: Methods and Results


AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data


AIM: A User-friendly GUI Workflow program for Isotherm Fitting, Mixture Prediction, Isosteric Heat of Adsorption Estimation, and Breakthrough Simulation


AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP


AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning


AIM: Attributing, Interpreting, Mitigating Data Unfairness


AIM: Automatic Interaction Machine for Click-Through Rate Prediction


AIM: Automatic Interrupt Modeling for Dynamic Firmware Analysis


AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis


AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence


AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation


AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network


AIN: The Arabic INclusive Large Multimodal Model


AIO-P: Expanding Neural Performance Predictors Beyond Image Classification


AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation


AIONER: All-in-one scheme-based biomedical named entity recognition using deep learning


AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents


AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning


AIPO: Improving Training Objective for Iterative Preference Optimization


AIPerf: Automated machine learning as an AI-HPC benchmark


AIR-Act2Act: Human-human interaction dataset for teaching non-verbal social behaviors to robots


AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark


AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension


AIR-Embodied: An Efficient Active 3DGS-based Interaction and Reconstruction Framework with Embodied Large Language Model


AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations


AIR: Analytic Imbalance Rectifier for Continual Learning


AIR: Complex Instruction Generation via Automatic Iterative Refinement


AIR: Zero-shot Generative Model Adaptation with Iterative Refinement


AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation Ensemble


AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations


AIRD: Adversarial Learning Framework for Image Repurposing Detection


AIREPAIR: A Repair Platform for Neural Networks


AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge


AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models


AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results


AIS Data-Driven Maritime Monitoring Based on Transformer: A Comprehensive Review


AISFormer: Amodal Instance Segmentation with Transformer


AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario


AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition


AISHELL-NER: Named Entity Recognition from Chinese Speech


AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction


AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement


AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry


AITEE -- Agentic Tutor for Electrical Engineering


AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation


AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4


AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation


AKEW: Assessing Knowledge Editing in the Wild


AKF-LIO: LiDAR-Inertial Odometry with Gaussian Map by Adaptive Kalman Filter


AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning


AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings


AL-Bench: A Benchmark for Automatic Logging


AL-GTD: Deep Active Learning for Gaze Target Detection


AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks


ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval


ALBRT: Cellular Composition Prediction in Routine Histology Images


ALCAP: Alignment-Augmented Music Captioner


ALCUNA: Large Language Models Meet New Knowledge


ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles


ALDi: Quantifying the Arabic Level of Dialectness of Text


ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering


ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP


ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement


ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction


ALET (Automated Labeling of Equipment and Tools): A Dataset, a Baseline and a Usecase for Tool Detection in the Wild


ALFA: Agglomerative Late Fusion Algorithm for Object Detection


ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation


ALGNet: Attention Light Graph Memory Network for Medical Recommendation System


ALGO: Synthesizing Algorithmic Programs with LLM-Generated Oracle Verifiers


ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation


ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations


ALICE: Combining Feature Selection and Inter-Rater Agreeability for Machine Learning Insights


ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic Features


ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning


ALINA: Advanced Line Identification and Notation Algorithm


ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition


ALISON: Fast and Effective Stylometric Authorship Obfuscation


ALITA: A Large-scale Incremental Dataset for Long-term Autonomy


ALL-IN-1: Short Text Classification with One Model for All Languages


ALLO: A Photorealistic Dataset and Data Generation Pipeline for Anomaly Detection During Robotic Proximity Operations in Lunar Orbit


ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills


ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models


ALMA Imaging and Gravitational Lens Models of South Pole Telescope-Selected Dusty, Star-Forming Galaxies at High Redshifts


ALMA Lensing Cluster Survey: $HST$ and $Spitzer$ Photometry of 33 Lensed Fields Built with CHArGE


ALMA Lensing Cluster Survey: average dust, gas, and star formation properties of cluster and field galaxies from stacking analysis


ALMA: Automata Learner using Modulo 2 Multiplicity Automata


ALMA: Hierarchical Learning for Composite Multi-Agent Tasks


ALMANACS: A Simulatability Benchmark for Language Model Explainability


ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization


ALOHA: Artificial Learning of Human Attributes for Dialogue Agents


ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction


ALPACA: A New Semi-Analytic Model for Metal Absorption Lines Emerging from Clumpy Galactic Environments


ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data


ALPCAHUS: Subspace Clustering for Heteroscedastic Data


ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models


ALPHA: Audit that Learns from Previously Hand-Audited Ballots


ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels Only


ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model


ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks Performance


ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs


ALSO: Automotive Lidar Self-supervision by Occupancy estimation


ALTA: Compiler-Based Analysis of Transformers


ALTER: Augmentation for Large-Table-Based Reasoning


ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation


ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization


ALTO: Adaptive Linearized Storage of Sparse Tensors


ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation


ALWOD: Active Learning for Weakly-Supervised Object Detection


ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents


ALaRM: Align Language Models via Hierarchical Rewards Modeling


ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation


AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples


AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation


AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC


AMALGUM -- A Free, Balanced, Multilayer English Web Corpus


AMAT: Medial Axis Transform for Natural Images


AMAZE: Accelerated MiMC Hardware Architecture for Zero-Knowledge Applications on the Edge


AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation


AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries


AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification


AMC: Attention guided Multi-modal Correlation Learning for Image Search


AMD-DBSCAN: An Adaptive Multi-density DBSCAN for datasets of extremely variable density


AMD-HookNet for Glacier Front Segmentation


AMD-Hummingbird: Towards an Efficient Text-to-Video Model


AMDet: A Tool for Mitotic Cell Detection in Histopathology Slides


AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor


AMED: Automatic Mixed-Precision Quantization for Edge Devices


AMENet: Attentive Maps Encoder Network for Trajectory Prediction


AMEP: The Active Matter Evaluation Package for Python


AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval


AMF-Placer 2.0: Open Source Timing-driven Analytical Mixed-size Placer for Large-scale Heterogeneous FPGA


AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection


AMFlow: a Mathematica package for Feynman integrals computation via Auxiliary Mass Flow


AMG: Automated Efficient Approximate Multiplier Generator for FPGAs via Bayesian Optimization


AMGC: Adaptive match-based genomic compression algorithm


AMGKQ: An Efficient Implementation of Adaptive Multivariate Gauss-Kronrod Quadrature for Simultaneous Integrands in Octave/MATLAB


AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization


AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning


AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images


AMIL: Adversarial Multi Instance Learning for Human Pose Estimation


AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases


AML-SVM: Adaptive Multilevel Learning with Support Vector Machines


AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting


AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image Segmentation


AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation


AMNet: Memorability Estimation with Attention


AMO Sampler: Enhancing Text Rendering with Overshooting


AMOM: Adaptive Masking over Masking for Conditional Masked Language Model


AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game


AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library


AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation


AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms


AMP-Inspired Deep Networks for Sparse Linear Inverse Problems


AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing


AMP-SBL Unfolding for Wideband MmWave Massive MIMO Channel Estimation


AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments


AMP: A Better Multipath TCP for Data Center Networks


AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness


AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing


AMPCliff: quantitative definition and benchmarking of activity cliffs in antimicrobial peptides


AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification


AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model


AMPERSAND: Argument Mining for PERSuAsive oNline Discussions


AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection


AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer


AMPSO: Artificial Multi-Swarm Particle Swarm Optimization


AMQA: An Adversarial Dataset for Benchmarking Bias of LLMs in Medicine and Healthcare


AMR Parsing as Sequence-to-Graph Transduction


AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite


AMR Parsing via Graph-Sequence Iterative Inference


AMR Parsing with Causal Hierarchical Attention and Pointers


AMR Quality Rating with a Lightweight CNN


AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation


AMR4NLI: Interpretable and robust NLI measures from semantic graphs


AMRA*: Anytime Multi-Resolution Multi-Heuristic A*


AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation


AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications


AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing


AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection


AMSP: Reducing Communication Overhead of ZeRO for Efficient LLM Training


AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries


AMSwarm: An Alternating Minimization Approach for Safe Motion Planning of Quadrotor Swarms in Cluttered Environments


AMSwarmX: Safe Swarm Coordination in CompleX Environments via Implicit Non-Convex Decomposition of the Obstacle-Free Space


AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT


AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning


AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration


AMYTISS: Parallelized Automated Controller Synthesis for Large-Scale Stochastic Systems


AMuLeT: Automated Design-Time Testing of Secure Speculation Countermeasures


AMuRD: Annotated Arabic-English Receipt Dataset for Key Information Extraction and Classification


ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT


ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)


ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base


ANCER: Anisotropic Certification via Sample-wise Volume Maximization


ANCHOR: LLM-driven News Subject Conditioning for Text-to-Image Synthesis


ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection


ANDES at SemEval-2020 Task 12: A jointly-trained BERT multilingual model for offensive language detection


ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel Realities


ANEA: Automated (Named) Entity Annotation for German Domain-Specific Texts


ANEA: Distant Supervision for Low-Resource Named Entity Recognition


ANFIC: Image Compression Using Augmented Normalizing Flows


ANGOFA: Leveraging OFA Embedding Initialization and Synthetic Data for Angolan Language Model


ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination Detection


ANIM-400K: A Large-Scale Dataset for Automated End-To-End Dubbing of Video


ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering


ANIRA: An Architecture for Neural Network Inference in Real-Time Audio Applications


ANKH: A Generalized O(N) Interpolated Ewald Strategy for Molecular Dynamics Simulations


ANMS: Asynchronous Non-Maximum Suppression in Event Stream


ANN-Based Grid Impedance Estimation for Adaptive Gain Scheduling in VSG Under Dynamic Grid Conditions


ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous Vehicles


ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captions


ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels


ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models


ANNZ+: an enhanced photometric redshift estimation algorithm with applications on the PAU Survey


ANNdotNET -- deep learning tool on .NET Platform


ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation


ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection


ANPL: Towards Natural Programming with Interactive Decomposition


ANSR-DT: An Adaptive Neuro-Symbolic Learning and Reasoning Framework for Digital Twins


ANT: Adaptive Noise Schedule for Time Series Diffusion Models


ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning


ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics


ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation


ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos


AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection


AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection


AOC: Analysis of Orthologous Collections -- an application for the characterization of natural selection in protein-coding sequences


AODisaggregation: toward global aerosol vertical profiles


AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation


AOWS: Adaptive and optimal network width search with latency constraints


AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network


AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image Generation


APACE: Agile and Perception-Aware Trajectory Generation for Quadrotor Flights


APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics


APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning


APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation


APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs


APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses


APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds


APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments


APE: A Data-Centric Benchmark for Efficient LLM Adaptation in Text Summarization


APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding


APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets


APERO: A PipelinE to Reduce Observations -- Demonstration with SPIRou


APES: Approximate Posterior Ensemble Sampler


APES: Articulated Part Extraction from Sprite Sheets


APES: Audiovisual Person Search in Untrimmed Video


APES: a Python toolbox for simulating reinforcement learning environments


APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs


APEX-Net: Automatic Plot Extractor Network


APEX: A High-Performance Learned Index on Persistent Memory


APEX: An Extensible and Dynamism-Aware Simulator for Automated Parallel Execution in LLM Serving


APEX: Empowering LLMs with Physics-Based Task Planning for Real-time Insight


APFEL++: A new PDF evolution library in C++


APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation


APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers


API Beauty is in the eye of the Clients: 2.2 Million Maven Dependencies reveal the Spectrum of Client-API Usages


API Pack: A Massive Multi-Programming Language Dataset for API Call Generation


API Phonons: Python Interfaces for Phonon Transport Modeling


API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs


API-Miner: an API-to-API Specification Recommendation Engine


APIA: An Architecture for Policy-Aware Intentional Agents


APIGen: Generative API Method Recommendation


APIHarvest: Harvesting API Information from Various Online Sources


APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs


APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge


APISR: Anime Production Inspired Real-World Anime Super-Resolution


APITestGenie: Automated API Test Generation through Generative AI


APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores


APNet2: High-quality and High-efficiency Neural Vocoder with Direct Prediction of Amplitude and Phase Spectra


APNet: An All-Frame-Level Neural Vocoder Incorporating Direct Prediction of Amplitude and Phase Spectra


APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds


APOGEE Net: An expanded spectral model of both low mass and high mass stars


APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning


APOLLO: SGD-like Memory, AdamW-level Performance


APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification


APPD: Adaptive and Precise Pupil Boundary Detection using Entropy of Contour Gradients


APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations


APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM Framework


APPLS: Evaluating Evaluation Metrics for Plain Language Summarization


APPT: Boosting Automated Patch Correctness Prediction via Fine-tuning Pre-trained Models


APQ: Joint Search for Network Architecture, Pruning and Quantization Policy


APR-Transformer: Initial Pose Estimation for Localization in Complex Environments through Absolute Pose Regression


APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction


APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD


APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning


APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting


APSNet: Attention Based Point Cloud Sampling


APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT


APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference


APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World Agents


APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation


APTx Neuron: A Unified Trainable Neuron Architecture Integrating Activation and Computation


AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability


AQD: Towards Accurate Fully-Quantized Object Detection


AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach


AQMLator -- An Auto Quantum Machine Learning E-Platform


AQP: An Open Modular Python Platform for Objective Speech and Audio Quality Metrics


AQUA-SLAM: Tightly-Coupled Underwater Acoustic-Visual-Inertial SLAM with Sensor Calibration


AQUATK: An Audio Quality Assessment Toolkit


AQuA -- Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs


AQuA: A Benchmarking Tool for Label Quality Assessment


AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization


AR-Net: A simple Auto-Regressive Neural Network for time-series


AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties


AR-RAG: Autoregressive Retrieval Augmentation for Image Generation


AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation


ARA : Aggregated RAPPOR and Analysis for Centralized Differential Privacy


ARAI-MVSNet: A multi-view stereo depth estimation network with adaptive depth range and depth interval


ARAML: A Stable Adversarial Training Framework for Text Generation


ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators


ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes


ARB-LLM: Alternating Refined Binarizations for Large Language Models


ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark


ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic


ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning


ARC: A Generalist Graph Anomaly Detector with In-Context Learning


ARC: A Vision-based Automatic Retail Checkout System


ARC: Adversarially Robust Control Policies for Autonomous Vehicles


ARC: Anchored Representation Clouds for High-Resolution INR Classification


ARCADe: A Rapid Continual Anomaly Detector


ARCANE -- Early Detection of Interplanetary Coronal Mass Ejections


ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point Clouds


ARCH: Efficient Adversarial Regularized Training with Caching


ARCHI: pipeline for light curve extraction of CHEOPS background star


ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning


ARCOQ: Arabic Closest Opposite Questions Dataset


ARCOR2: Framework for Collaborative End-User Management of Industrial Robotic Workplaces using Augmented Reality


ARCS: Accurate Rotation and Correspondence Search


ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback


ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems


ARES: Locally Adaptive Reconstruction-based Anomaly Scoring


ARFC-WAHNet: Adaptive Receptive Field Convolution and Wavelet-Attentive Hierarchical Network for Infrared Small Target Detection


ARFED: Attack-Resistant Federated averaging based on outlier elimination


ARGES -- Advanced Renormalisation Group Equation Simplifier


ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor


ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks


ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance


ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification


ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews


ARINAR: Bi-Level Autoregressive Feature-by-Feature Generative Models


ARIS: Authentication for Real-Time IoT Systems


ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming


ARKCoS: Artifact-Suppressed Accelerated Radial Kernel Convolution on the Sphere


ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data


ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data


ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning


ARM-Net: Adaptive Relation Modeling Network for Structured Data


ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks


ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments


ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization


ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network


ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables


ARMS: Automated rules management system for fraud detection


ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures


ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes


ARO-Net: Learning Implicit Fields from Anchored Radial Observations


AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation


AROMA: Autonomous Rank-one Matrix Adaptation


AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields


ARPA: Armenian Paraphrase Detection Corpus and Models


ARPIST: Provably Accurate and Stable Numerical Integration over Spherical Triangles


ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay


ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning


ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection


ARS548_ros. An ARS 548 RDI radar driver for ROS


ARS: Automatic Routing Solver with Large Language Models


ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables


ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation


ART-SLAM: Accurate Real-Time 6DoF LiDAR SLAM


ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images


ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks


ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users


ARTA: Collection and Classification of Ambiguous Requests and Thoughtful Actions


ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving


ARTIST: ARTificial Intelligence for Simplified Text


ARTS: Semi-Analytical Regressor using Disentangled Skeletal Representations for Human Mesh Recovery from Videos


ARTiST: Automated Text Simplification for Task Guidance in Augmented Reality


ARTree: A Deep Autoregressive Model for Phylogenetic Inference


ARULESPY: Exploring Association Rules and Frequent Itemsets in Python


AReLU: Attention-based Rectified Linear Unit


AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs


AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning


ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition


ARviz -- An Augmented Reality-enabled Visualization Platform for ROS Applications


AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE


AS-MLP: An Axial Shifted MLP Architecture for Vision


AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data


AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN


AS3D: 2D-Assisted Cross-Modal Understanding with Semantic-Spatial Scene Graphs for 3D Visual Grounding


ASAC: Active Sensing using Actor-Critic models


ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation


ASAM: Boosting Segment Anything Model with Adversarial Tuning


ASANet: Asymmetric Semantic Aligning Network for RGB and SAR image land cover classification


ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation


ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction


ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations


ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding


ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills


ASAP: Reconciling Asynchronous Real-Time Operations and Proofs of Execution in Simple Embedded Systems


ASASSN-21js: A multi-year transit of a ringed disc


ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation


ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation


ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation


ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search


ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping


ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising


ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding


ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data


ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems


ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation


ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models


ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures


ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation


ASFormer: Transformer for Action Segmentation


ASGARD: A Single-cell Guided pipeline to Aid Repurposing of Drugs


ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment


ASGIR: Audio Spectrogram Transformer Guided Classification And Information Retrieval For Birds


ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction


ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering


ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention Understanding


ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics


ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense


ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces


ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network


ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization


ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition


ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction Tuning


ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation


ASMR: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inference


ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks


ASP-Based Declarative Process Mining (Extended Abstract)


ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion Segmentation


ASPECTNEWS: Aspect-Oriented Summarization of News Documents


ASPEN: ASP-Based System for Collective Entity Resolution


ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction


ASPIRE: Assistive System for Performance Evaluation in IR


ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems


ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations


ASPIRO: Any-shot Structured Parsing-error-Induced ReprOmpting for Consistent Data-to-Text Generation


ASPS: Augmented Segment Anything Model for Polyp Segmentation


ASR Benchmarking: Need for a More Representative Conversational Dataset


ASR Error Correction with Constrained Decoding on Operation Prediction


ASR2K: Speech Recognition for Around 2000 Languages without Audio


ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network


ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning


ASSD: Attentive Single Shot Multibox Detector


ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models


ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations


ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions


ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms


ASSIST: An Ephemeris-Quality Test Particle Integrator


ASSIST: Towards Label Noise-Robust Dialogue State Tracking


AST-Enhanced or AST-Overloaded? The Surprising Impact of Hybrid Graph Representations on Code Clone Detection


AST-T5: Structure-Aware Pretraining for Code Generation and Understanding


AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories


ASTERIA -- Asteroid Thermal Inertia Analyzer


ASTF: Visual Abstractions of Time-Varying Patterns in Radio Signals


ASTPrompter: Weakly Supervised Automated Language Model Red-Teaming to Identify Low-Perplexity Toxic Prompts


ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning through Action in Dynamic Offer Optimization


ASTRA: An Action Spotting TRAnsformer for Soccer Videos


ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition


ASTRIDE: Adaptive Symbolization for Time Series Databases


ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection


ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss


ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models


ASVLite: a high-performance simulator for autonomous surface vehicles


ASVspoof2019 vs. ASVspoof5: Assessment and Comparison


ASiM: Improving Transparency of SRAM-based Analog Compute-in-Memory Research with an Open-Source Simulation Framework


ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification


ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer


ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolution


AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models


ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark


AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models


AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning


AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions


AT2018cow: a luminous millimeter transient


ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset


ATAT: Astronomical Transformer for time series And Tabular data


ATCN: Resource-Efficient Processing of Time Series on Edge


ATCON: Attention Consistency for Vision Models


ATD: Augmenting CP Tensor Decomposition by Self Supervision


ATDN vSLAM: An all-through Deep Learning-Based Solution for Visual Simultaneous Localization and Mapping


ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks


ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting


ATHENA: An In-vehicle CAN Intrusion Detection Framework Based on Physical Characteristics of Vehicle Systems


ATHENA: Mathematical Reasoning with Thought Expansion


ATHOS: On-the-fly stellar parameter determination of FGK stars based on flux ratios from optical spectra


ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy


ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte Carlo


ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator


ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning


ATOM3D: Tasks On Molecules in Three Dimensions


ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks


ATOM: Attention Mixer for Efficient Dataset Distillation


ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining


ATOMIC: Automatic Tool for Memristive IMPLY-based Circuit-level Simulation and Validation


ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning


ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala


ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution Errors


ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos


ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts


AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions


AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation


AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition


AU-Supervised Convolutional Vision Transformers for Synthetic Facial Expression Recognition


AU-aware graph convolutional network for Macro- and Micro-expression spotting


AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation


AUDITEM: Toward an Automated and Efficient Data Integrity Verification Model Using Blockchain


AUEB at BioASQ 6: Document and Snippet Retrieval


AUEB-Archimedes at RIRAG-2025: Is obligation concatenation really all you need?


AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors


AUGER: Automatically Generating Review Comments with Pre-training Models


AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation


AUITestAgent: Automatic Requirements Oriented GUI Function Testing


AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance


AUTOBargeSim: MATLAB(R) toolbox for the design and analysis of the guidance and control system for autonomous inland vessels


AV-CrossNet: an Audiovisual Complex Spectral Mapping Network for Speech Separation By Leveraging Narrow- and Cross-Band Modeling


AV-DTEC: Self-Supervised Audio-Visual Fusion for Drone Trajectory Estimation and Classification


AV-Gaze: A Study on the Effectiveness of Audio Guided Visual Attention Estimation for Non-Profilic Faces


AV-PedAware: Self-Supervised Audio-Visual Fusion for Dynamic Pedestrian Awareness


AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models


AV2AV: Direct Audio-Visual Speech to Audio-Visual Speech Translation with Unified Audio-Visual Speech Representation


AVA: Attentive VLM Agent for Mastering StarCraft II


AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection


AVARS -- Alleviating Unexpected Urban Road Traffic Congestion using UAVs


AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence


AVATAR : Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations


AVATAR: A Parallel Corpus for Java-Python Program Translation


AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation


AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain


AVATAR: Blender add-on for fast creation of 3D human models


AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work


AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning


AVG-LLaVA: A Large Multimodal Model with Adaptive Visual Granularity


AVID: Any-Length Video Inpainting with Diffusion Model


AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions


AVM-SLAM: Semantic Visual SLAM with Multi-Sensor Fusion in a Bird's Eye View for Automated Valet Parking


AVR: Attention based Salient Visual Relationship Detection


AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual Segmentation


AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding


AVSegFormer: Audio-Visual Segmentation with Transformer


AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies


AVeCQ: Anonymous Verifiable Crowdsourcing with Worker Qualities


AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web


AViD Dataset: Anonymized Videos from Diverse Countries


AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets


AViTMP: A Tracking-Specific Transformer for Single-Branch Visual Tracking


AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition


AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain


AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection


AWARE: Adaptive Wide-Area Replication for Fast and Resilient Byzantine Consensus


AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus


AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images


AWNet: Attentive Wavelet Network for Image ISP


AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation


AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images


AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation


AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis


AXI-REALM: A Lightweight and Modular Interconnect Extension for Traffic Regulation and Monitoring of Heterogeneous Real-Time SoCs


AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans


AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer


AandP: Utilizing Prolog for converting between active sentence and passive sentence with three-steps conversion


Ab Antiquo: Neural Proto-language Reconstruction


Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$


Ab Initio Structure Solutions from Nanocrystalline Powder Diffraction Data


Ab Initio Transcorrelated Method enabling accurate Quantum Chemistry on near-term Quantum Hardware


Ab initio calculation of real solids via neural network ansatz


Ab initio calculations of quantum light-matter interactions in general electromagnetic environments


Ab initio predictions link the neutron skin of ${}^{208}$Pb to nuclear forces


Ab initio quantum many-body description of superconducting trends in the cuprates


Ab initio quantum transport in AB-stacked bilayer penta-silicene using atomic orbitals


Ab initio strewn field for small asteroids impacts


Ab initio uncertainty quantification in scattering analysis of microscopy


Ab-initio QCD calculations impact the inference of the neutron-star-matter equation of state


Ab-initio investigation of transition metal dichalcogenides for the hydrogenation of carbon dioxide to methanol


Ab-initio study of interacting fermions at finite temperature with neural canonical transformation


AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems


AbGPT: De Novo Antibody Design via Generative Language Modeling


AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature


AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking


Abandoning the Bayer-Filter to See in the Dark


Abaqus implementation of a large family of finite viscoelasticity models


AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?


AbductionRules: Training Transformers to Explain Unexpected Inputs


Abductive Knowledge Induction From Raw Data


Abelian Surfaces over totally real fields are Potentially Modular


Abelian varieties of prescribed order over finite fields


Abelian varieties over finite fields with commutative endomorphism algebra: theory and algorithms


Abelianization of the unit group of an integral group ring


Ability of error correlations to improve the performance of variational quantum algorithms


Ablating Concepts in Text-to-Image Diffusion Models


Ablation Studies in Artificial Neural Networks


Ablation study of self-supervised learning for image classification


Abnormal Functional Brain Network Connectivity Associated with Alzheimer's Disease


Abnormal Occupancy Grid Map Recognition using Attention Network


Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling


Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers


About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations


About Graph Degeneracy, Representation Learning and Scalability


About Matter Effects on Neutrino Mixing Matrix Phases


About every convex set in any generic Riemannian manifold


About the accuracy of the relxill/relxill_nk models in view of the next generation of X-ray missions


About the proof of the Collatz conjecture


AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters


AbsInf: A Lightweight Object to Represent float('inf') in Dijkstra's Algorithm


AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation


AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph


Absence of a fundamental acceleration scale in galaxies


Absence of jet quenching in peripheral nucleus-nucleus collisions


Absence of nebular He{\sc ii} $λ$4686 constrains the UV emission from the Ultraluminous X-ray pulsar NGC~1313~X--2


Absolute Human Pose Estimation with Depth Prediction Network


Absolute Zero: Reinforced Self-play Reasoning with Zero Data


Absolute average and median treatment effects as causal estimands on metric spaces


Absolving the SSINS of Precision Interferometric Radio Data: A New Technique for Mitigating Faint Radio Frequency Interference


Absorb & Escape: Overcoming Single Model Limitations in Generating Genomic Sequences


Absorbing ideals: a survey on $ω$-stable groups


Absorption $\textit{versus}$ Adsorption: High-Throughput Computation of Impurities in 2D Materials


Absorption Variability of the Highly Obscured Active Galactic Nucleus NGC 4507


AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions


Abstract Art Interpretation Using ControlNet


Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning


Abstract Flow for Temporal Semantic Segmentation on the Permutohedral Lattice


Abstract Interpretation of Fixpoint Iterators with Applications to Neural Networks


Abstract Meaning Representation for Hospital Discharge Summarization


Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning


Abstract Orientable Incidence Structure and Algorithms for Finite Bounded Acyclic Categories. II. Data Structure and Fundamental Operations


Abstract Reasoning with Distracting Features


Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation


Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We?


Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices


Abstract, Rationale, Stance: A Joint Model for Scientific Claim Verification


Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization


Abstract2Appendix: Academic Reviews Enhance LLM Long-Context Capabilities


AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia


Abstracted Gaussian Prototypes for One-Shot Concept Learning


Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification


Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction


Abstracting Sketches through Simple Primitives


Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships


Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks


Abstraction not Memory: BERT and the English Article System


Abstraction of Markov Population Dynamics via Generative Adversarial Nets


Abstraction-based Synthesis for Stochastic Systems with Omega-Regular Objectives


Abstraction-of-Thought Makes Language Models Better Reasoners


Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts


Abstractive Document Summarization without Parallel Data


Abstractive Summarization Guided by Latent Hierarchical Document Structure


Abstractive Text Classification Using Sequence-to-convolution Neural Networks


Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling


Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers


Absynthe: Abstract Interpretation-Guided Synthesis


Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection


AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts


Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs


Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention


Abusive and Threatening Language Detection in Urdu using Boosting based and BERT based models: A Comparative Approach


Acacia-Bonsai: A Modern Implementation of Downset-Based LTL Realizability


AcademiaOS: Automating Grounded Theory Development in Qualitative Research with Large Language Models


Academic Literature Recommendation in Large-scale Citation Networks Enhanced by Large Language Models


Academic collaboration on large language model studies increases overall but varies across disciplines


Academic information retrieval using citation clusters: In-depth evaluation based on systematic reviews


Academically intelligent LLMs are not necessarily socially intelligent


Academics evaluating academics: a methodology to inform the review process on top of open citations


AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation


AccDiffusion: An Accurate Method for Higher-Resolution Image Generation


AccFFT: A library for distributed-memory FFT on CPU and GPU architectures


AccFlow: Backward Accumulation for Long-Range Optical Flow


Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks


Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS


AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient


AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference with Transformers


Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning


Accelerate Cycle-Level Full-System Simulation of Multi-Core RISC-V Systems with Binary Translation


Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement


Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence


Accelerate Reinforcement Learning with PID Controllers in the Pendulum Simulations


Accelerated Affine-Invariant Convergence Rates of the Frank-Wolfe Algorithm with Open-Loop Step-Sizes


Accelerated Algorithms for Nonlinear Matrix Decomposition with the ReLU function


Accelerated Alternating Projections for Robust Principal Component Analysis


Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation


Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling


Accelerated Calderón preconditioning for Maxwell transmission problems


Accelerated Cardiac Parametric Mapping using Deep Learning-Refined Subspace Models


Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance


Accelerated Computational Fluid Dynamics Simulations of Microfluidic Devices by Exploiting Higher Levels of Abstraction


Accelerated Convergence for Counterfactual Learning to Rank


Accelerated DC Algorithms for the Asymmetric Eigenvalue Complementarity Problem


Accelerated Design of Microring Lasers with Multi-Objective Bayesian Optimization


Accelerated Development of Multicomponent Alloys in Discrete Design Space Using Bayesian Multi-Objective Optimisation


Accelerated Experimental Design for Pairwise Comparisons


Accelerated Fatigue Strength Prediction via Additive Manufactured Functionally Graded Materials and High-Throughput Plasticity Quantification


Accelerated First Order Methods for Variational Imaging


Accelerated Forward-Backward Optimization using Deep Learning


Accelerated Gossip in Networks of Given Dimension using Jacobi Polynomial Iterations


Accelerated Gradient Descent via Long Steps


Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties


Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization


Accelerated Hydration Site Localization and Thermodynamic Profiling


Accelerated Inorganic Materials Design with Generative AI Agents


Accelerated Linearized Laplace Approximation for Bayesian Deep Learning


Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data


Accelerated Medicines Development using a Digital Formulator and a Self-Driving Tableting DataFactory


Accelerated Motion Correction with Deep Generative Diffusion Models


Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning


Accelerated Nearest Neighbor Search with Quick ADC


Accelerated Parallel Magnetic Resonance Imaging with Compressed Sensing using Structured Sparsity


Accelerated Parameter Estimation with DALE$χ$


Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning


Accelerated Policy Learning with Parallel Differentiable Simulation


Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks


Accelerated Proton Resonance Frequency-based Magnetic Resonance Thermometry by Optimized Deep Learning Method


Accelerated Randomized Methods for Receiver Design in Extra-Large Scale MIMO Arrays


Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction


Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player


Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks


Accelerated Stein Variational Gradient Flow


Accelerated Stochastic Gradient-free and Projection-free Methods


Accelerated Stochastic Optimization Methods under Quasar-convexity


Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations


Accelerated Video Annotation driven by Deep Detector and Tracker


Accelerated alternating minimization algorithm for low-rank approximations in the Chebyshev norm


Accelerated and interpretable oblique random survival forests


Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits


Accelerated identification of equilibrium structures of multicomponent inorganic crystals using machine learning potentials


Accelerated inference for stochastic compartmental models with over-dispersed partial observations


Accelerated quantum search using partial oracles and Grover's algorithm


Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems


Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models


Accelerated-gradient-based generalized Levenberg--Marquardt method with oracle complexity bound and local quadratic convergence


AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs


Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks


Accelerating Aggregation Queries on Unstructured Streams of Data


Accelerating AllReduce with a Persistent Straggler


Accelerating Antimicrobial Peptide Discovery with Latent Structure


Accelerating Approximate Aggregation Queries with Expensive Predicates


Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo


Accelerating Atomistic Simulations with Piecewise Machine Learned Ab Initio Potentials at Classical Force Field-like Cost


Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding


Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study


Accelerating B-spline Interpolation on GPUs: Application to Medical Image Registration


Accelerating BAO Scale Fitting Using Taylor Series


Accelerating BERT Inference for Sequence Labeling via Early-Exit


Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs


Accelerating Bayesian Optimal Experimental Design via Local Radial Basis Functions: Application to Soft Material Characterization


Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders


Accelerating Bayesian inference for stochastic epidemic models using incidence data


Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields


Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs


Accelerating CPU-Based Sparse General Matrix Multiplication With Binary Row Merging


Accelerating Certified Robustness Training via Knowledge Transfer


Accelerating Channel Estimation and Demodulation of Uplink OFDM symbols for Large Scale Antenna Systems using GPU


Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution


Accelerating Computation of Stable Merge Tree Edit Distances using Parameterized Heuristics


Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization


Accelerating Convergence in Bayesian Few-Shot Classification


Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding


Accelerating DNN Training with Structured Data Gradient Pruning


Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling


Accelerating Dataset Distillation via Model Augmentation


Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies


Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks


Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices


Accelerating Derivative-Free Optimization with Dimension Reduction and Hyperparameter Learning


Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL


Accelerating Diagonal Methods for Bilevel Optimization: Unified Convergence via Continuous-Time Dynamics


Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling


Accelerating Diffusion Models via Early Stop of the Diffusion Process


Accelerating Diffusion Sampling with Classifier-based Feature Distillation


Accelerating Diffusion Sampling with Optimized Time Steps


Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition


Accelerating Diffusion-based Text-to-Speech Model Training with Dual Modality Alignment


Accelerating Distributed Deep Learning using Lossless Homomorphic Compression


Accelerating Distributed ML Training via Selective Synchronization


Accelerating Drug Safety Assessment using Bidirectional-LSTM for SMILES Data


Accelerating Edge AI with Morpher: An Integrated Design, Compilation and Simulation Framework for CGRAs


Accelerating Electronic Stopping Power Predictions by 10 Million Times with a Combination of Time-Dependent Density Functional Theory and Machine Learning


Accelerating Error Correction Code Transformers


Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation


Accelerating Exploration with Unlabeled Prior Data


Accelerating Extreme Classification via Adaptive Feature Agglomeration


Accelerating Federated Learning with a Global Biased Optimiser


Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving


Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower Bounds


Accelerating Fully Homomorphic Encryption by Bridging Modular and Bit-Level Arithmetic


Accelerating Generalized Benders Decomposition for Wireless Resource Allocation


Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report)


Accelerating Genetic Programming using GPUs


Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route


Accelerating Giant Impact Simulations with Machine Learning


Accelerating Goal-Conditioned RL Algorithms and Research


Accelerating Graph Indexing for ANNS on Modern CPUs


Accelerating Guided Diffusion Sampling with Splitting Numerical Methods


Accelerating ILP solvers for Minimum Flow Decompositions through search space and dimensionality reductions


Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent


Accelerating Image-based Pest Detection on a Heterogeneous Multi-core Microcontroller


Accelerating Incremental Gradient Optimization with Curvature Information


Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy


Accelerating Inference of Networks in the Frequency Domain


Accelerating LHC phenomenology with analytic one-loop amplitudes: A C++ interface to MCFM


Accelerating Large Scale Real-Time GNN Inference using Channel Pruning


Accelerating Lattice QCD Simulations using GPUs


Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need


Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU


Accelerating Low-field MRI: Compressed Sensing and AI for fast noise-robust imaging


Accelerating Malware Classification: A Vision Transformer Solution


Accelerating Markov Chain Monte Carlo sampling with diffusion models


Accelerating Material Design with the Generative Toolkit for Scientific Discovery


Accelerating Material Property Prediction using Generically Complete Isometry Invariants


Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation


Accelerating Metropolis-Hastings with Lightweight Inference Compilation


Accelerating Model Predictive Control for Legged Robots through Distributed Optimization


Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex


Accelerating Multi-Objective Collaborative Optimization of Doped Thermoelectric Materials via Artificial Intelligence


Accelerating Multiframe Blind Deconvolution via Deep Learning


Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings


Accelerating Natural Language Understanding in Task-Oriented Dialog


Accelerating Neural Architecture Search via Proxy Data


Accelerating Neural Network Training: A Brief Review


Accelerating Neural Transformer via an Average Attention Network


Accelerating Newton-Schulz Iteration for Orthogonalization via Chebyshev-type Polynomials


Accelerating Non-Cartesian MRI Reconstruction Convergence using k-space Preconditioning


Accelerating Non-Maximum Suppression: A Graph Theory Perspective


Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening


Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention


Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning


Accelerating Parallel Sampling of Diffusion Models


Accelerating Parameter Initialization in Quantum Chemical Simulations via LSTM-FC-VQE


Accelerating Partial Evaluation in Distributed SPARQL Query Evaluation


Accelerating Personalized PageRank Vector Computation


Accelerating Physics-Informed Neural Network Training with Prior Dictionaries


Accelerating PoT Quantization on Edge Devices


Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach


Accelerating QM/MM simulations of electrochemical interfaces through machine learning of electronic charge densities


Accelerating Quadratic Optimization with Reinforcement Learning


Accelerating Quantitative Susceptibility Mapping using Compressed Sensing and Deep Neural Network


Accelerating Quantum Emitter Characterization with Latent Neural Ordinary Differential Equations


Accelerating Quantum Optimal Control of Multi-Qubit Systems with Symmetry-Based Hamiltonian Transformations


Accelerating Range Minimum Queries with Ray Tracing Cores


Accelerating Recommendation System Training by Leveraging Popular Choices


Accelerating Recurrent Neural Networks for Gravitational Wave Experiments


Accelerating Reduction and Scan Using Tensor Core Units


Accelerating Reinforcement Learning with Learned Skill Priors


Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions


Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning Study


Accelerating SARS-CoV-2 low frequency variant calling on ultra deep sequencing datasets


Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion


Accelerating SGD with momentum for over-parameterized learning


Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons


Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses


Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning


Accelerating Shapley Explanation via Contributive Cooperator Selection


Accelerating Simulated Annealing of Glassy Materials with Data Assimilation


Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates


Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity


Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores


Accelerating Spectral Clustering on Quantum and Analog Platforms


Accelerating System Adequacy Assessment using the Multilevel Monte Carlo Approach


Accelerating Targeted Hard-Label Adversarial Attacks in Low-Query Black-Box Settings


Accelerating Tests of General Relativity with Gravitational-Wave Signals using Hybrid Sampling


Accelerating Time-to-Science by Streaming Detector Data Directly into Perlmutter Compute Nodes


Accelerating Toeplitz Neural Network with Constant-time Inference Complexity


Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining


Accelerating Training with Neuron Interaction and Nowcasting Networks


Accelerating Transfer Function Update for Distance Map based Volume Rendering


Accelerating Transfer Learning with Near-Data Computation on Cloud Object Stores


Accelerating Transformer Inference for Translation via Parallel Decoding


Accelerating Transformers with Spectrum-Preserving Token Merging


Accelerating Translational Image Registration for HDR Images on GPU


Accelerating Triangle Counting with Real Processing-in-Memory Systems


Accelerating Unbiased LLM Evaluation via Synthetic Feedback


Accelerating Verified-Compiler Development with a Verified Rewriting Engine


Accelerating Video Object Segmentation with Compressed Video


Accelerating Vision Transformer Training via a Patch Sampling Schedule


Accelerating Vision-Language Pretraining with Free Language Modeling


Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2


Accelerating XOR-based Erasure Coding using Program Optimization Techniques


Accelerating a restarted Krylov method for matrix functions with randomization


Accelerating amorphous polymer electrolyte screening by learning to reduce errors in molecular dynamics simulated properties


Accelerating and Compressing Deep Neural Networks for Massive MIMO CSI Feedback


Accelerating cross-validation with total variation and its application to super-resolution imaging


Accelerating crystal structure search through active learning with neural networks for rapid relaxations


Accelerating delayed-acceptance Markov chain Monte Carlo algorithms


Accelerating flux balance calculations in genome-scale metabolic models by localizing the application of loopless constraints


Accelerating frequency-domain numerical methods for weakly nonlinear focused ultrasound using nested meshes


Accelerating genetic optimization of nonlinear model predictive control by learning optimal search space size


Accelerating inference for stochastic kinetic models


Accelerating large-eddy simulations of clouds with Tensor Processing Units


Accelerating materials discovery for polymer solar cells: Data-driven insights enabled by natural language processing


Accelerating micromagnetic and atomistic simulations using multiple GPUs


Accelerating non-LTE synthesis and inversions with graph networks


Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition


Accelerating radio astronomy imaging with RICK


Accelerating sequential Monte Carlo with surrogate likelihoods


Accelerating spherical harmonic transforms for a large number of sky maps


Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral function


Accelerating the Computation of Dead and Concurrent Places using Reductions


Accelerating the Convergence of Coupled Cluster Calculations of the Homogeneous Electron Gas Using Bayesian Ridge Regression


Accelerating the Exploration of Thermal Materials via a Synergistic Strategy of DFT and Interpretable Deep Learning


Accelerating the Global Aggregation of Local Explanations


Accelerating the Sinkhorn algorithm for sparse multi-marginal optimal transport by fast Fourier transforms


Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems


Accelerating the discovery of high-performance nonlinear optical materials using active learning and high-throughput screening


Accelerating the force-coupling method for hydrodynamic interactions in periodic domains


Accelerating the pool-adjacent-violators algorithm for isotonic distributional regression


Acceleration and clustering of cosmic dust in a gravoturbulent gas -- I. Numerical simulation of the nearly Jeans-unstable case


Acceleration and restart for the randomized Bregman-Kaczmarz method


Acceleration of FM-index Queries Through Prefix-free Parsing


Acceleration of Federated Learning with Alleviated Forgetting in Local Training


Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes


Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling


Acceleration of Power System Dynamic Simulations using a Deep Equilibrium Layer and Neural ODE Surrogate


Acceleration of SVRG and Katyusha X by Inexact Preconditioning


Acceleration of crystal structure relaxation with Deep Reinforcement Learning


Acceleration via Perturbations on Low-resolution Ordinary Differential Equations


Acceleration without Disruption: DFT Software as a Service


Accelerator and reactor complementarity in coherent neutrino scattering


Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures


Accent Estimation of Japanese Words from Their Surfaces and Romanizations for Building Large Vocabulary Accent Dictionaries


Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder


Accept All: The Landscape of Cookie Banners in Greece and the UK


Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter


Acceptability Judgements via Examining the Topology of Attention Maps


Acceptable Use Policies for Foundation Models


Accessibility Recommendations for Designing Better Mobile Application User Interfaces for Seniors


Accessibility for Whom? Perceptions of Sidewalk Barriers Across Disability Groups and Implications for Designing Personalized Maps


Accessible Color Sequences for Data Visualization


Accessible Computation of Tight Symbolic Bounds on Causal Effects using an Intuitive Graphical Interface


Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets


Accessible Robot Control in Mixed Reality


Accessible Smart Contracts Verification: Synthesizing Formal Models with Tamed LLMs


Accessible Text Descriptions for UpSet Plots


Accessible and Pedagogically-Grounded Explainability for Human-Robot Interaction: A Framework Based on UDL and Symbolic Interfaces


Accessible or Not? An Empirical Investigation of Android App Accessibility


Accessing Numerical Energy Hessians with Graph Neural Network Potentials and Their Application in Heterogeneous Catalysis


Accessing topological feature of polycrystalline microstructure using object detection technique


Accident Impact Prediction based on a deep convolutional and recurrent neural network model


Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights


Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected Vulnerability


AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System


AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer


Accommodating Audio Modality in CLIP for Multimodal Processing


Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning


Accountable Fine-grained Blockchain Rewriting in the Permissionless Setting


Accountable Private Set Cardinality for Distributed Measurement


Accountable authentication with privacy protection: The Larch system for universal login


Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time


Accounting for Clock-Induced Charge Production in the EMCCD Gain Register


Accounting for Gaussian Process Imprecision in Bayesian Optimization


Accounting for Incompleteness due to Transit Multiplicity in Kepler Planet Occurrence Rates


Accounting for Inconsistent Use of Covariate Adjustment in Group Sequential Trials


Accounting for Multiple Covariates in Non-Stationary Geostatistical Modelling


Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence


Accounting for missing actors in interaction network inference from abundance data


Accounting for multiplicity in machine learning benchmark performance


Accounting for recall bias in case-control studies: a causal inference approach


Accounting for selection biases in population analyses: equivalence of the in-likelihood and post-processing approaches


Accounting for the Known Unknown: A Parametric Framework to Incorporate Systematic Waveform Errors in Gravitational-Wave Parameter Estimation


Accounting for the geometry of the respiratory tract in viral infections


Accounting for total variation and robustness in profiling health care providers


Accounts of using the Tustin-Net architecture on a rotary inverted pendulum


Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart Infrastructure


Accreting luminous low-mass planets escape from migration traps at pressure bumps


Accretion Disc Winds in Tidal Disruption Events: Ultraviolet Spectral Lines as Orientation Indicators


Accretion Efficiency Evolution of Central Supermassive Black Holes in Quasars


Accretion and Ablation in Deformable Solids using an Eulerian Formulation: A Finite Deformation Numerical Method


Accretion disks and relativistic line broadening in boson star spacetimes


Accretion mode versus radio morphology in the LOFAR Deep Fields


Accumulated Polar Feature-based Deep Learning for Efficient and Lightweight Automatic Modulation Classification with Channel Compensation Mechanism


Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets


Accumulation of individual fitness or wealth as a population game


Accumulative Poisoning Attacks on Real-time Data


Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning


Accuracy Certificates for Convex Minimization with Inexact Oracle


Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets


Accuracy Improvement of Neural Network Training using Particle Swarm Optimization and its Stability Analysis for Classification


Accuracy Prediction with Non-neural Model for Neural Architecture Search


Accuracy Requirements for Empirically-Measured Selection Functions


Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval


Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach


Accuracy and Robustness of Weight-Balancing Methods for Training PINNs


Accuracy enhancement method for speech emotion recognition from spectrogram using temporal frequency correlation and positional information learning through knowledge transfer


Accuracy of Deep Learning in Calibrating HJM Forward Curves


Accuracy of environmental tracers and consequence for determining the Type Ia Supernovae magnitude step


Accuracy of metaGGA functionals in describing transition metal fluorides


Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations


Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective


Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML Systems


Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex


Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective


Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching


Accurate 3D Body Shape Regression using Metric and Semantic Attributes


Accurate 3D Cell Segmentation using Deep Feature and CRF Refinement


Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set


Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network


Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation


Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion


Accurate 3D Object Detection using Energy-Based Models


Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge


Accurate Analytic Model for the Weak Lensing Convergence One-Point Probability Distribution Function and its Auto-Covariance


Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving


Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters


Accurate Chemical Reaction Modeling on Noisy Intermediate-Scale Quantum Computers Using a Noise-Resilient Wavefunction Ansatz


Accurate Computation of the Screening of Scalar Fifth Forces in Galaxies


Accurate Crystal Structure Prediction of New 2D Hybrid Organic Inorganic Perovskites


Accurate Detection of Spiking Motifs by Learning Heterogeneous Delays of a Spiking Neural Network


Accurate Determination of Hubble Attenuation and Amplification in Expanding and Contracting Cold-Atom Universes


Accurate Differential Operators for Hybrid Neural Fields


Accurate Error Estimates and Optimal Parameter Selection in Ewald Summation for Dielectrically Confined Coulomb Systems


Accurate Estimate of the Joint Density of States via Flat Scan Sampling


Accurate Estimation of Diffusion Coefficients and their Uncertainties from Computer Simulation


Accurate Explanation Model for Image Classifiers using Class Association Embedding


Accurate Fairness: Improving Individual Fairness without Trading Accuracy


Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling


Accurate Fine-grained Layout Analysis for the Historical Tibetan Document Based on the Instance Segmentation


Accurate Forgetting for Heterogeneous Federated Continual Learning


Accurate Fourier-space statistics for line intensity mapping: Cartesian grid sampling without aliased power


Accurate Grid Keypoint Learning for Efficient Video Prediction


Accurate Image Restoration with Attention Retractable Transformer


Accurate KV Cache Quantization with Outlier Tokens Tracing


Accurate Layerwise Interpretable Competence Estimation


Accurate Learning of Graph Representations with Graph Multiset Pooling


Accurate Leukocyte Detection Based on Deformable-DETR and Multi-Level Feature Fusion for Aiding Diagnosis of Blood Diseases


Accurate Liability Estimation Improves Power in Ascertained Case Control Studies


Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning


Accurate LoRA-Finetuning Quantization of LLMs via Information Retention


Accurate Measures of Vaccination and Concerns of Vaccine Holdouts from Web Search Logs


Accurate Node Feature Estimation with Structured Variational Graph Autoencoder


Accurate Open-set Recognition for Memory Workload


Accurate PET Reconstruction from Reduced Set of Measurements based on GMM


Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning


Accurate Pocket Identification for Binding-Site-Agnostic Docking


Accurate Polygonal Mapping of Buildings in Satellite Imagery


Accurate Pose Prediction on Signed Distance Fields for Mobile Ground Robots in Rough Terrain


Accurate Prediction of Antibody Function and Structure Using Bio-Inspired Antibody Language Model


Accurate Prediction of Sequential Tensor Properties Using Equivariant Graph Neural Network


Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations


Accurate QM/MM Molecular Dynamics for Periodic Systems in \textsc{GPU4PySCF} with Applications to Enzyme Catalysis


Accurate RNA 3D structure prediction using a language model-based deep learning approach


Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning


Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network


Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models