Applying Bayesian parameter estimation to relativistic heavy-ion collisions: simultaneous characterization of the initial state and quark-gluon plasma medium


Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature


Applying CodeBERT for Automated Program Repair of Java Simple Bugs


Applying Cooperative Machine Learning to Speed Up the Annotation of Social Signals in Large Multi-modal Corpora


Applying Data Synthesis for Longitudinal Business Data across Three Countries


Applying Deep Learning to Answer Selection: A Study and An Open Task


Applying Deep Learning to Basketball Trajectories


Applying Deep Learning to Calibrate Stochastic Volatility Models


Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality


Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction


Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for Classifying Imagery and Motor Signals in ECoG-Based BCIs


Applying Domain Randomization to Synthetic Data for Object Category Detection


Applying Evolutionary Metaheuristics for Parameter Estimation of Individual-Based Models


Applying Genetic Programming to Improve Interpretability in Machine Learning Models


Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models


Applying Large-Scale Distributed Computing to Structural Bioinformatics -- Bridging Legacy HPC Clusters With Big Data Technologies Using kafka-slurm-agent


Applying Machine Learning to Crowd-sourced Data from Earthquake Detective


Applying Machine Learning to Understand Water Security and Water Access Inequality in Underserved Colonia Communities


Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations


Applying Multi-Fidelity Bayesian Optimization in Chemistry: Open Challenges and Major Considerations


Applying Probabilistic Programming to Affective Computing


Applying QNLP to sentiment analysis in finance


Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling


Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network


Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots


Applying Text Mining to Analyze Human Question Asking in Creativity Research


Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsing


Applying ViT in Generalized Few-shot Semantic Segmentation


Applying Vision Transformers on Spectral Analysis of Astronomical Objects


Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction


Applying advanced machine learning models to classify electro-physiological activity of human brain for use in biometric identification


Applying generative neural networks for fast simulations of the ALICE (CERN) experiment


Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula


Applying machine learning techniques to predict the properties of energetic materials


Applying machine learning to Galactic Archaeology: how well can we recover the origin of stars in Milky Way-like galaxies?


Applying recent advances in Visual Question Answering to Record Linkage


Applying sparse autoencoders to unlearn knowledge in language models


Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II


Applying the ACE2 Emulator to SST Green's Functions for the E3SMv3 Global Atmosphere Model


Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features


Applying the Fokker--Planck equation to grating-based x-ray phase and dark-field imaging


Applying the Tremaine-Weinberg Method to Nearby Galaxies: Stellar Mass-Based Pattern Speeds, and Comparisons with ISM Kinematics


Applying the Viterbi Algorithm to Planetary-Mass Black Hole Searches


Applying the causal roadmap to longitudinal national Danish registry data: a case study of second-line diabetes medication and dementia


Applying unsupervised learning to resolve evolutionary histories and explore the galaxy-halo connection in IllustrisTNG


Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews


Apprenticeship learning with prior beliefs using inverse optimization


Approach to Predicting News -- A Precise Multi-LSTM Network With BERT


Approach to the separatrix with eccentric orbits


Approaches Toward Physical and General Video Anomaly Detection


Approaches to Statistical Efficiency when comparing the embedded adaptive interventions in a SMART


Approaches to human activity recognition via passive radar


Approaching Code Search for Python as a Translation Retrieval Problem with Dual Encoders


Approaching Deep Learning through the Spectral Dynamics of Weights


Approaching Globally Optimal Energy Efficiency in Interference Networks via Machine Learning


Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task


Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene


Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks


Approaching an unknown communication system by latent space exploration and causal inference


Approaching graph problems with continuous variable quantum computing


Approaching optimal entangling collective measurements on quantum computing platforms


Approaching sales forecasting using recurrent neural networks and transformers


Approaching the structure of rotating bodies from dimension reduction


Approval-Based Committee Voting in Practice: A Case Study of (Over-)Representation in the Polkadot Blockchain


ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles


ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems


Approximability of the Containment Problem for Zonotopes and Ellipsotopes


Approximal operator with application to audio inpainting


Approximate $2$-hop neighborhoods on incremental graphs: An efficient lazy approach


Approximate Bayesian Class-Conditional Models under Continuous Representation Shift


Approximate Bayesian Computation As An Informed Fuzzing-Inference System


Approximate Bayesian Computation for Forward Modeling in Cosmology


Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories


Approximate Bayesian Computation sequential Monte Carlo via random forests


Approximate Bayesian Computation with Domain Expert in the Loop


Approximate Bayesian Computation with Path Signatures


Approximate Bayesian Computation with Statistical Distances for Model Selection


Approximate Bayesian Computation with the Sliced-Wasserstein Distance


Approximate Bayesian Computations to fit and compare insurance loss models


Approximate Bayesian Neural Doppler Imaging


Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data


Approximate Bregman Proximal Gradient Algorithm for Relatively Smooth Nonconvex Optimization


Approximate Control for Continuous-Time POMDPs


Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search


Approximate Cross-Validation for Structured Models


Approximate Cross-Validation in High Dimensions with Guarantees


Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models


Approximate Cross-validation: Guarantees for Model Assessment and Selection


Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components


Approximate Differentiable Rendering with Algebraic Surfaces


Approximate Distributed Monitoring under Partial Synchrony: Balancing Speed and Accuracy


Approximate Douglas-Rachford algorithm for two-sets convex feasibility problems


Approximate Eigenvalue Decompositions of Linear Transformations with a Few Householder Reflectors


Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss


Approximate Factor Models for Functional Time Series


Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks


Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets


Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data


Approximate Inference Turns Deep Networks into Gaussian Processes


Approximate Inference for Longitudinal Mechanistic HIV Contact Networks


Approximate Inference for Stochastic Planning in Factored Spaces


Approximate Knowledge Compilation by Online Collapsed Importance Sampling


Approximate Latent Force Model Inference


Approximate Message Passing for Bayesian Neural Networks


Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models


Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing


Approximate Midpoint Policy Iteration for Linear Quadratic Control


Approximate Multiparametric Mixed-integer Convex Programming


Approximate N$^{3}$LO Parton Distribution Functions with Theoretical Uncertainties: MSHT20aN$^3$LO PDFs


Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval


Approximate Nearest Neighbor Search with Window Filters


Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation


Approximate Nearest Neighbour Search on Privacy-aware Encoding of User Locations to Identify Susceptible Infections in Simulated Epidemics


Approximate Network Motif Mining Via Graph Learning


Approximate Nullspace Augmented Finetuning for Robust Vision Transformers


Approximate Parametric Computation of Minimum-Cost Flows with Convex Costs


Approximate Policy Iteration with Bisimulation Metrics


Approximate Privacy-Preserving Neighbourhood Estimations


Approximate Quantiles for Stochastic Optimal Control of LTI Systems with Arbitrary Disturbances


Approximate Reduction of Finite Automata for High-Speed Network Intrusion Detection (Technical Report)


Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions


Approximate Search for Known Gene Clusters in New Genomes Using PQ-Trees


Approximate Selection with Guarantees using Proxies


Approximate Sequential Optimization for Informative Path Planning


Approximate Stein Classes for Truncated Density Estimation


Approximate Stochastic Optimal Control for Linear Time Invariant Systems with Heavy-tailed Disturbances


Approximate Strategyproofness in Large, Two-Sided Matching Markets


Approximate Translation from Floating-Point to Real-Interval Arithmetic


Approximate Vanishing Ideal Computations at Scale


Approximate Vector Set Search: A Bio-Inspired Approach for High-Dimensional Spaces


Approximate and discrete Euclidean vector bundles


Approximate inferences for nonlinear mixed effects models with scale mixtures of skew-normal distributions


Approximate information state for approximate planning and reinforcement learning in partially observed systems


Approximate learning of parsimonious Bayesian context trees


Approximate leave-future-out cross-validation for Bayesian time series models


Approximate localised dihedral patterns near a Turing instability


Approximate maximum likelihood estimators for linear regression with design matrix uncertainty


Approximate non-linear model predictive control with safety-augmented neural networks


Approximate optimization, sampling and spin-glass droplets discovery with tensor networks


Approximate probabilistic verification of hybrid systems


Approximate sampling and estimation of partition functions using neural networks


Approximate solutions of a general stochastic velocity-jump model subject to discrete-time noisy observations


Approximate solutions to a nonlinear functional differential equation


Approximate spectral clustering density-based similarity for noisy datasets


Approximate spectral clustering with eigenvector selection and self-tuned $k$


Approximate streamsurfaces for flow visualization


Approximate-At-Most-k Encoding of SAT for Soft Constraints


Approximated Bilinear Modules for Temporal Modeling


Approximately Equivariant Graph Networks


Approximately Equivariant Networks for Imperfectly Symmetric Dynamics


Approximately Optimal Search on a Higher-dimensional Sliding Puzzle


Approximately well-balanced Discontinuous Galerkin methods using bases enriched with Physics-Informed Neural Networks


Approximating 1-Wasserstein Distance between Persistence Diagrams by Graph Sparsification


Approximating Excited States using Neural Networks


Approximating Families of Sharp Solutions to Fisher's Equation with Physics-Informed Neural Networks


Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization


Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems


Approximating Network Centrality Measures Using Node Embedding and Machine Learning


Approximating Orthogonal Matrices with Effective Givens Factorization


Approximating Persistent Homology for Large Datasets


Approximating Poker Probabilities with Deep Learning


Approximating Power Flow and Transmission Losses in Coordinated Capacity Expansion Problems


Approximating Spatial Distance Through Confront Networks: Application to the Segmentation of Medieval Avignon


Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network


Approximating a RUM from Distributions on k-Slates


Approximating exponentials of commutators by optimized product formulas


Approximating neutron-star radii using gravitational-wave only measurements with symbolic regression


Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks


Approximating optimal SMC proposal distributions in individual-based epidemic models


Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation


Approximating the Manifold Structure of Attributed Incentive Salience from Large Scale Behavioural Data. A Representation Learning Approach Based on Artificial Neural Networks


Approximation Algorithms for Combinatorial Optimization with Predictions


Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks


Approximation Methods for Mixed Models with Probit Link Functions


Approximation Strategies for Incomplete MaxSAT


Approximation Theory, Computing, and Deep Learning on the Wasserstein Space


Approximation Vector Machines for Large-scale Online Learning


Approximation algorithms for 1-Wasserstein distance between persistence diagrams


Approximation formula for complex spacing ratios in the Ginibre ensemble


Approximation in the extended functional tensor train format


Approximation of arbitrarily high-order PDEs by first-order hyperbolic relaxation


Approximation of bayesian Hawkes process models with Inlabru


Approximation of nearly-periodic symplectic maps via structure-preserving neural networks


Approximation of the Proximal Operator of the $\ell_\infty$ Norm Using a Neural Network


Approximation results for Gradient Descent trained Shallow Neural Networks in $1d$


Approximation-First Timeseries Monitoring Query At Scale


Approximation-free Control for Signal Temporal Logic Specifications using Spatiotemporal Tubes


Approximations and Bounds for (n, k) Fork-Join Queues: A Linear Transformation Approach


Approximations based on density-matrix embedding theory for density-functional theories


Approximations of Piecewise Deterministic Markov Processes and their convergence properties


Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection


Approximations to the spin of close Black-hole-Wolf-Rayet binaries


Approximations to worst-case data dropping: unmasking failure modes


Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters


Approximative lookup-tables and arbitrary function rotations for facilitating NISQ-implementations of the HHL and beyond


Apsidal Alignment and Anti-Alignment of Planets in Mean-Motion Resonance: Disk-Driven Migration and Eccentricity Driving


Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving


Aqua-Sim Fourth Generation: Towards General and Intelligent Simulation for Underwater Acoustic Networks


AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA


AquaSAM: Underwater Image Foreground Segmentation


Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms


Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications


Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning


ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks


ArGSLab: A tool for analyzing experimental or simulated particle networks


ArNLI: Arabic Natural Language Inference for Entailment and Contradiction Detection


ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models


ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation


Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV 1.0 Compliant Open-Source Processor


AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss


AraNet: A Deep Learning Toolkit for Arabic Social Media


AraSpell: A Deep Learning Approach for Arabic Spelling Correction


AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking


AraT5: Text-to-Text Transformers for Arabic Language Generation


ArabLegalEval: A Multitask Benchmark for Assessing Arabic Legal Knowledge in Large Language Models


Arabic Automatic Story Generation with Large Language Models


Arabic Dataset for LLM Safeguard Evaluation


Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization


Arabic Dialect Identification under Scrutiny: Limitations of Single-label Classification


Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation


Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM


Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset


Arabic Speech Recognition by End-to-End, Modular Systems and Human


Arabic Synonym BERT-based Adversarial Examples for Text Classification


Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extraction


ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic


ArabicaQA: A Comprehensive Dataset for Arabic Question Answering


Arachnophobia Exposure Therapy using Experience-driven Procedural Content Generation via Reinforcement Learning (EDPCGRL)


Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders


Arbitrage-free catastrophe reinsurance valuation for compound dynamic contagion claims


Arbitrarily Small Execution-Time Certificate: What was Missed in Analog Optimization


Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification


Arbitrary Decisions are a Hidden Cost of Differentially Private Training


Arbitrary Distribution Modeling with Censorship in Real-Time Bidding Advertising


Arbitrary Lagrangian--Eulerian finite element method for lipid membranes


Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference


Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians


Arbitrary Scale Super-Resolution for Brain MRI Images


Arbitrary Shape Text Detection via Segmentation with Probability Maps


Arbitrary Style Transfer with Deep Feature Reshuffle


Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding


Arbitrary high-order, conservative and positive preserving Patankar-type deferred correction schemes


Arbitrary-Length Generalization for Addition in a Tiny Transformer


Arbitrary-Oriented Ship Detection through Center-Head Point Extraction


Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors


Arbitrary-length analogs to de Bruijn sequences


Arc Routing with Time-Dependent Travel Times and Paths


Arc-Length-Based Warping for Robot Skill Synthesis from Multiple Demonstrations


Arc-swift: A Novel Transition System for Dependency Parsing


Arc2Face: A Foundation Model for ID-Consistent Human Faces


ArcAid: Analysis of Archaeological Artifacts using Drawings


ArcaNN: automated enhanced sampling generation of training sets for chemically reactive machine learning interatomic potentials


ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering


Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search


Arch-Net: Model Distillation for Architecture Agnostic Model Deployment


ArchABM: an agent-based simulator of human interaction with the built environment. $CO_2$ and viral load analysis for indoor air quality


ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models


ArchComplete: Autoregressive 3D Architectural Design Generation with Hierarchical Diffusion-Based Upsampling


ArchSeek: Retrieving Architectural Case Studies Using Vision-Language Models


ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models


ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting


ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution


Archetypal Analysis++: Rethinking the Initialization Strategy


ArchiGuesser -- AI Art Architecture Educational Game


Archimedean local height differences on elliptic curves


Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure


Architectural Middleware that Supports Building High-performance, Scalable, Ubiquitous, Intelligent Personal Assistants


Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!


Architectural Vision for Quantum Computing in the Edge-Cloud Continuum


Architectural and Inferential Inductive Biases For Exchangeable Sequence Modeling


Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation


Architecture Disentanglement for Deep Neural Networks


Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design


Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning


Architecture and evolution of semantic networks in mathematics texts


Architecture and protocols for all-photonic quantum repeaters


Architecture aware compilation of quantum circuits via lazy synthesis


Architecture for Trajectory-Based Fishing Ship Classification with AIS Data


Architecture of a Cortex Inspired Hierarchical Event Recaller


Architecture of a Flexible and Cost-Effective Remote Code Execution Engine


Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning


Architecture-Aware Minimization (A$^2$M): How to Find Flat Minima in Neural Architecture Search


Architecture-Aware Synthesis of Phase Polynomials for NISQ Devices


Architecture-Guided Test Resource Allocation Via Logic


Architecture-Preserving Provable Repair of Deep Neural Networks


Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks


Archives of Photographic PLates for Astronomical USE (APPLAUSE) Digitisation of astronomical plates and their integration into the International Virtual Observatory


Archon: An Architecture Search Framework for Inference-Time Techniques


Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences


Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification


Arcula: A Secure Hierarchical Deterministic Wallet for Multi-asset Blockchains


Are "Hierarchical" Visual Representations Hierarchical?


Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces


Are AI Detectors Good Enough? A Survey on Quality of Datasets With Machine-Generated Texts


Are AI-Generated Text Detectors Robust to Adversarial Perturbations?


Are Adaptive Face Recognition Systems still Necessary? Experiments on the APE Dataset


Are All Combinations Equal? Combining Textual and Visual Features with Multiple Space Learning for Text-Based Video Retrieval


Are All Good Word Vector Spaces Isomorphic?


Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens


Are Anchor Points Really Indispensable in Label-Noise Learning?


Are Any-to-Any Models More Consistent Across Modality Transfers Than Specialists?


Are Bias Mitigation Techniques for Deep Learning Effective?


Are CLIP features all you need for Universal Synthetic Image Origin Attribution?


Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation


Are Cluster Validity Measures (In)valid?


Are Compressed Language Models Less Subgroup Robust?


Are Convolutional Neural Networks or Transformers more like human vision?


Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?


Are Data-driven Explanations Robust against Out-of-distribution Data?


Are Decoder-Only Large Language Models the Silver Bullet for Code Search?


Are Deep Neural Networks SMARTer than Second Graders?


Are Diffusion Models Vision-And-Language Reasoners?


Are Dipolarization Fronts a Typical Feature of Magnetotail Plasma Jets Fronts?


Are ECGs enough? Deep learning classification of cardiac anomalies using only electrocardiograms


Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity


Are Edge Weights in Summary Graphs Useful? -- A Comparative Study


Are Emergent Abilities in Large Language Models just In-Context Learning?


Are Ensembles Getting Better all the Time?


Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?


Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers


Are Expressive Models Truly Necessary for Offline RL?


Are GAN-based Morphs Threatening Face Recognition?


Are Generative AI Agents Effective Personalized Financial Advisors?


Are Generative Classifiers More Robust to Adversarial Attacks?


Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization


Are Gradients on Graph Structure Reliable in Gray-box Attacks?


Are Graph Neural Networks Miscalibrated?


Are Graph Neural Networks Optimal Approximation Algorithms?


Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?


Are Human-generated Demonstrations Necessary for In-context Learning?


Are Joins over LSM-trees Ready: Take RocksDB as an Example


Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation


Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders


Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data


Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues


Are LLMs Good Annotators for Discourse-level Event Relation Extraction?


Are LLMs Good Zero-Shot Fallacy Classifiers?


Are LLMs Naturally Good at Synthetic Tabular Data Generation?


Are LLMs Ready for Real-World Materials Discovery?


Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?


Are LLMs classical or nonmonotonic reasoners? Lessons from generics


Are LLMs complicated ethical dilemma analyzers?


Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice


Are LLMs the Master of All Trades? : Exploring Domain-Agnostic Reasoning Skills of LLMs


Are Labels Necessary for Neural Architecture Search?


Are Labels Required for Improving Adversarial Robustness?


Are Large Language Models Actually Good at Text Style Transfer?


Are Large Language Models Aligned with People's Social Intuitions for Human-Robot Interactions?


Are Large Language Models Capable of Generating Human-Level Narratives?


Are Large Language Models Consistent over Value-laden Questions?


Are Large Language Models Geospatially Knowledgeable?


Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions


Are Large Language Models Good Prompt Optimizers?


Are Large Language Models Good Statisticians?


Are Large Language Models Good at Utility Judgments?


Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding


Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation


Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond


Are Large Language Models Reliable Argument Quality Annotators?


Are Large Language Models Robust Coreference Resolvers?


Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?


Are Large Language Models Table-based Fact-Checkers?


Are Large Language Models Temporally Grounded?


Are Large Language Models a Good Replacement of Taxonomies?


Are Large Pre-Trained Language Models Leaking Your Personal Information?


Are Large-Language Models Graph Algorithmic Reasoners?


Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study


Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents


Are Local Features All You Need for Cross-Domain Visual Place Recognition?


Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales


Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?


Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts


Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?


Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion


Are Models Biased on Text without Gender-related Language?


Are Molecules Magical? Non-Stabilizerness in Molecular Bonding


Are More Layers Beneficial to Graph Transformers?


Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings


Are NLP Models really able to Solve Simple Math Word Problems?


Are Natural Domain Foundation Models Useful for Medical Image Classification?


Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness


Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance


Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks


Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study


Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?


Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems


Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification


Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?


Are Pretrained Language Models Symbolic Reasoners Over Knowledge?


Are Pretrained Multilingual Models Equally Fair Across Languages?


Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks


Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?


Are Representation Disentanglement and Interpretability Linked in Recommendation Models? A Critical Review and Reproducibility Study


Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models


Are Saddles Good Enough for Deep Learning?


Are Safer Looking Neighborhoods More Lively? A Multimodal Investigation into Urban Life


Are Self-Attentions Effective for Time Series Forecasting?


Are Shortest Rationales the Best Explanations for Human Understanding?


Are Sixteen Heads Really Better than One?


Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?


Are Sounds Sound for Phylogenetic Reconstruction?


Are Sparse Autoencoders Useful for Java Function Bug Detection?


Are Sparse Autoencoders Useful? A Case Study in Sparse Probing


Are Sparse Neural Networks Better Hard Sample Learners?


Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?


Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training?


Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization


Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?


Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval


Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs


Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?


Are Triggers Needed for Document-Level Event Extraction?


Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks


Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?


Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation


Are Unikernels Ready for Serverless on the Edge?


Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?


Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding


Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering


Are Vision Transformers More Data Hungry Than Newborn Visual Systems?


Are Vision Transformers Robust to Spurious Correlations?


Are Vision-Language Models Truly Understanding Multi-vision Sensor?


Are WASP-107-like Systems Consistent with High-eccentricity Migration?


Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics


Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization


Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors


Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation


Are We Ready For Learned Cardinality Estimation?


Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark


Are We Ready to Embrace Generative AI for Software Q&A?


Are We Really Making Much Progress in Text Classification? A Comparative Review


Are We There Yet? A Brief Survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges


Are We Using Autoencoders in a Wrong Way?


Are We on the Right Way for Evaluating Large Vision-Language Models?


Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark


Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs


Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks


Are You for Real? Detecting Identity Fraud via Dialogue Interactions


Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack


Are Your LLMs Capable of Stable Reasoning?


Are advanced methods necessary to improve infant fNIRS data analysis? An assessment of baseline-corrected averaging, general linear model (GLM) and multivariate pattern analysis (MVPA) based approaches


Are audio DeepFake detection models polyglots?


Are classification metrics good proxies for SN Ia cosmological constraining power?


Are current long-term video understanding datasets long-term?


Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison


Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning


Are fast labeling methods reliable? A case study of computer-aided expert annotations on microscopy slides


Are formal and functional linguistic mechanisms dissociated?


Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology


Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels


Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling?


Are self-explanations from Large Language Models faithful?


Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings?


Are the Latent Representations of Foundation Models for Pathology Invariant to Rotation?


Are the Majority of Public Computational Notebooks Pathologically Non-Executable?


Are the Multilingual Models Better? Improving Czech Sentiment with Transformers


Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AI


Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?


Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance


Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks


Are wider nets better given the same number of parameters?


Are you Struggling? Dataset and Baselines for Struggle Determination in Assembly Videos


Are you aware of what you are watching? Role of machine heuristic in online content recommendations


Are you in a Masquerade? Exploring the Behavior and Impact of Large Language Model Driven Social Bots in Online Social Networks


Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition


Are your comments outdated? Towards automatically detecting code-comment consistency


Area Coverage with Multiple Capacity-Constrained Robots


Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models


Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments


Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments


Ares: A System-Oriented Wargame Framework for Adversarial ML


ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation


ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining


Argo Scholar: Interactive Visual Exploration of Literature in Browsers


Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting


ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models


ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models


Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation


Argument Mining Driven Analysis of Peer-Reviews


Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques


Argument Mining with Structured SVMs and RNNs


Argument from Old Man's View: Assessing Social Bias in Argumentation


Argumentative Ensembling for Robust Recourse under Model Multiplicity


Argumentative Large Language Models for Explainable and Contestable Claim Verification


Argumentative Text Generation in Economic Domain


AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents


Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling


Aria: An Open Multimodal Native Mixture-of-Experts Model


Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images


Ariadne: A Hotness-Aware and Size-Adaptive Compressed Swap Technique for Fast Application Relaunch and Reduced CPU Usage on Mobile Devices


Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation


Arion: Arithmetization-Oriented Permutation and Hashing from Generalized Triangular Dynamical Systems


Aristotle Cloud Federation: Container Runtimes Technical Report


AritPIM: High-Throughput In-Memory Arithmetic


ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving


Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards


Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning


Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics


Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs


ArithsGen: Arithmetic Circuit Generator for Hardware Accelerators


Arkhipov's theorem, graph minors, and linear system nonlocal games


Arm-Constrained Curriculum Learning for Loco-Manipulation of the Wheel-Legged Robot


ArmanEmo: A Persian Dataset for Text-based Emotion Detection


Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection


Arnold maps with noise: Differentiability and non-monotonicity of the rotation number


Arnoldi-Lindblad time evolution: Faster-than-the-clock algorithm for the spectrum of time-independent and Floquet open quantum systems


Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation


Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls


Array Camera Image Fusion using Physics-Aware Transformers


Array Element Coupling in Radio Interferometry I: A Semi-Analytic Approach


ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior


Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network


Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization


Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices


Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication


Arrow-Guided VLM: Enhancing Flowchart Understanding via Arrow Direction Encoding


Art Creation with Multi-Conditional StyleGANs


Art2Mus: Bridging Visual Arts and Music through Cross-Modal Generation


Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation


ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank


ArtBrain: An Explainable end-to-end Toolkit for Classification and Attribution of AI-Generated Art and Style


ArtFID: Quantitative Evaluation of Neural Style Transfer


ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows


ArtFormer: Controllable Generation of Diverse 3D Articulated Objects


ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models


ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter


ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting


ArtMentor: AI-Assisted Evaluation of Artworks to Explore Multimodal Large Language Models Capabilities


ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis


ArtPlanner: Robust Legged Robot Navigation in the Field


ArtPop: A Stellar Population and Image Simulation Python Package


ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs


ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations


Artemis: Articulated Neural Pets with Appearance and Motion synthesis


ArthModel: Enhance Arithmetic Skills to Large Language Model


ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image Detection


Article Classification with Graph Neural Networks and Multigraphs


Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claims


Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges


Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation


Articulatory Coordination for Speech Motor Tracking in Huntington Disease


Articulatory Feature Prediction from Surface EMG during Speech Production


Articulatory Phonetics Informed Controllable Expressive Speech Synthesis


Artifact Identification in X-ray Diffraction Data using Machine Learning Methods


Artifact Restoration in Histology Images with Diffusion Probabilistic Models


Artifact-Based Domain Generalization of Skin Lesion Models


Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images


Artifact: Measuring and Mitigating Gaps in Structural Testing


Artifacts in Photoacoustic Imaging: Origins and Mitigations


Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks


Artificial Benchmark for Community Detection with Outliers (ABCD+o)


Artificial Color Constancy via GoogLeNet with Angular Loss Function


Artificial Dummies for Urban Dataset Augmentation


Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data


Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data


Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning


Artificial Hair Sensor Placement Optimization on Airfoils for Angle of Attack Prediction


Artificial Immune System of Secure Face Recognition Against Adversarial Attacks


Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios


Artificial Intelligence Assisted Inversion (AIAI): Quantifying the Spectral Features of $^{56}$Ni of Type Ia Supernovae


Artificial Intelligence Enabled NOMA Towards Next Generation Multiple Access


Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients


Artificial Intelligence and Machine Learning for Quantum Technologies


Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach


Artificial Intelligence for Prosthetics - challenge solutions


Artificial Intelligence in Drug Discovery: Applications and Techniques


Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review


Artificial Intelligence of Things: A Survey


Artificial Intelligence to Assess Dental Findings from Panoramic Radiographs -- A Multinational Study


Artificial Intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry


Artificial Intelligence-Based Analytics for Impacts of COVID-19 and Online Learning on College Students' Mental Health


Artificial Intelligence-Based Triaging of Cutaneous Melanocytic Lesions


Artificial Intelligence-Enabled Optimization of Battery-Grade Lithium Carbonate Production


Artificial Interrogation for Attributing Language Models


Artificial Life in Game Mods for Intuitive Evolution Education


Artificial Liver Classifier: A New Alternative to Conventional Machine Learning Models


Artificial Neural Networks Applied to Taxi Destination Prediction


Artificial Neural Networks Modelling of Wall Pressure Spectra Beneath Turbulent Boundary Layers


Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting


Artificial Neuronal Ensembles with Learned Context Dependent Gating


Artificial Noisy MIMO Systems under Correlated Scattering Rayleigh Fading -- A Physical Layer Security Approach


Artificial Potential Field-Based Path Planning for Cluttered Environments


Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results


Artificial Pupil Dilation for Data Augmentation in Iris Semantic Segmentation


Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits


Artificial SA-I and RA-I Afferents for Tactile Sensing of Ridges and Gratings


Artificial SA-I, RA-I and RA-II/Vibrotactile Afferents for Tactile Sensing of Texture


Artificial Text Detection via Examining the Topology of Attention Maps


Artificial intelligence and renegotiation of commercial lease contracts affected by pandemic-related contingencies from Covid-19. The project A.I.A.Co


Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop


Artificial intelligence for topic modelling in Hindu philosophy: mapping themes between the Upanishads and the Bhagavad Gita


Artificial intelligence in government: Concepts, standards, and a unified framework


Artificial neural network for myelin water imaging


Artificial neural network states for non-additive systems


Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging


Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images


Artificially Intelligent Opinion Polling


Artist Similarity with Graph Neural Networks


Artist Style Transfer Via Quadratic Potential


Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario


ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models


ArtistIC: An Open-Source Toolchain for Top-Metal IC Art and Ultra-High-Fidelity GDSII Renders


Artistic Curve Steganography Carried by Musical Audio


Artistic Enhancement and Style Transfer of Image Edges using Directional Pseudo-coloring


Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artists


Artistic-style text detector and a new Movie-Poster dataset


Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack


Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation


ArxivBench: Can LLMs Assist Researchers in Conducting Research?


ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs


As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian


As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation


As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages


As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning


As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning


As easy as PIE: understanding when pruning causes language models to disagree


As if by magic: self-supervised training of deep despeckling networks with MERLIN


As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain


AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction


AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin


Asca: less audio data is more insightful


Asgl: A Python Package for Penalized Linear and Quantile Regression


Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches


Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data


Ask Before You Act: Generalising to Novel Environments by Asking Questions


Ask Not What AI Can Do, But What AI Should Do: Towards a Framework of Task Delegability


Ask Question First for Enhancing Lifelong Language Learning


Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference


Ask To The Point: Open-Domain Entity-Centric Question Generation


Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning


Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models


Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation


Ask to Know More: Generating Counterfactual Explanations for Fake Claims


Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge


Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query


Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature Summarization


Ask, and it shall be given: On the Turing completeness of prompting


Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework


Ask-before-Plan: Proactive Language Agents for Real-World Planning


Ask2Loc: Learning to Locate Instructional Visual Answers by Asking Questions


Ask4Help: Learning to Leverage an Expert for Embodied Tasks


AskChart: Universal Chart Understanding through Textual Enhancement


Asking Again and Again: Exploring LLM Robustness to Repeated Questions


Asking Clarification Questions to Handle Ambiguity in Open-Domain QA


Asking Clarifying Questions in Open-Domain Information-Seeking Conversations


Asking Complex Questions with Multi-hop Answer-focused Reasoning


Asking Crowdworkers to Write Entailment Examples: The Best of Bad Options


Asking Easy Questions: A User-Friendly Approach to Active Reward Learning


Asking It All: Generating Contextualized Questions for any Semantic Role


Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search


Asking and Answering Questions to Extract Event-Argument Structures


Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives


Asking the Right Questions: Learning Interpretable Action Models Through Query Answering


Aspect Based Sentiment Analysis with Aspect-Specific Opinion Spans


Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF


Aspect Sentiment Model for Micro Reviews


Aspect Sentiment Quad Prediction as Paraphrase Generation


Aspect Sentiment Triplet Extraction Using Reinforcement Learning


Aspect Term Extraction with History Attention and Selective Transformation


Aspect ratio controls hot-carrier generation in gold nanobricks


Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go?


Aspect-Driven Structuring of Historical Dutch Newspaper Archives


Aspect-augmented Adversarial Networks for Domain Adaptation


Aspect-based Document Similarity for Research Papers


Aspect-based Sentiment Analysis of Scientific Reviews


Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks


Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification


Aspect-specific Context Modeling for Aspect-based Sentiment Analysis


AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities


Aspects of Propagator Sparsening in Lattice QCD


Aspects of human memory and Large Language Models


Aspiration can promote cooperation in well-mixed populations as in regular graphs


Assay2Mol: large language model-based drug design using BioAssay context


Assaying Out-Of-Distribution Generalization in Transfer Learning


Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors


AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines


Assemblage: Automatic Binary Dataset Construction for Machine Learning


Assemble Foundation Models for Automatic Code Summarization


Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly


AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures


AssembleRL: Learning to Assemble Furniture from Their Point Clouds


Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML


Assemblies of neurons learn to classify well-separated distributions


Assembly ASM291031v2 (Genbank: GCA_002910315.2) identified as assembly of the Northern Dolly Varden (Salvelinus malma malma) genome, and not the Arctic char (S. alpinus) genome


Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities


Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning


AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation


Assess Space-Based Solar Power in European-Scale Power System Decarbonization


Assessing COVID-19 Vaccine Effectiveness in Observational Studies via Nested Trial Emulation


Assessing Coarse-to-Fine Deep Learning Models for Optic Disc and Cup Segmentation in Fundus Images


Assessing Composition in Sentence Vector Representations


Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study


Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models


Assessing Dataset Quality Through Decision Tree Characteristics in Autoencoder-Processed Spaces


Assessing Delayed Treatment Benefits of Immunotherapy Using Long-Term Average Hazard: A Novel Test/Estimation Approach


Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition


Assessing Demographic Bias in Named Entity Recognition


Assessing Dialogue Systems with Distribution Distances


Assessing Differentially Private Variational Autoencoders under Membership Inference


Assessing Digital Language Support on a Global Scale


Assessing Domain Gap for Continual Domain Adaptation in Object Detection


Assessing Driving Risk Through Unsupervised Detection of Anomalies in Telematics Time Series Data


Assessing Expert System-Assisted Literature Reviews With a Case Study


Assessing External Validity Over Worst-case Subpopulations


Assessing Extreme Risk using Stochastic Simulation of Extremes


Assessing Galaxy Rotation Kinematics: Insights from Convolutional Neural Networks on Velocity Variations


Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics


Assessing Gender Bias in Machine Translation -- A Case Study with Google Translate


Assessing Generalization in Deep Reinforcement Learning


Assessing Generative Language Models in Classification Tasks: Performance and Self-Evaluation Capabilities in the Environmental and Climate Change Domain


Assessing Generative Models via Precision and Recall


Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks


Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility


Assessing Human Judgment Forecasts in the Rapid Spread of the Mpox Outbreak: Insights and Challenges for Pandemic Preparedness


Assessing Image Quality Using a Simple Generative Representation


Assessing Information Transmission in Data Transformations with the Channel Multivariate Entropy Triangle


Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models


Assessing Keyness using Permutation Tests


Assessing Knee OA Severity with CNN attention-based end-to-end architectures


Assessing LLMs Suitability for Knowledge Graph Completion


Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing


Assessing Language Model Deployment with Risk Cards


Assessing Large Language Models for Automated Feedback Generation in Learning Programming Problem Solving


Assessing Levels of Attention using Low Cost Eye Tracking


Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study


Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models


Assessing Matched Filtering for Core-Collapse Supernova Gravitational-Wave Detection


Assessing Mobile Application Privacy: A Quantitative Framework for Privacy Measurement


Assessing Model Generalization in Vicinity


Assessing News Thumbnail Representativeness: Counterfactual text can enhance the cross-modal matching ability


Assessing Opportunities of SYCL for Biological Sequence Alignment on GPU-based Systems


Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation


Assessing Political Prudence of Open-domain Chatbots


Assessing Project-Level Fine-Tuning of ML4SE Models


Assessing Prompt Injection Risks in 200+ Custom GPTs


Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing


Assessing Racial Disparities in Healthcare Expenditures Using Causal Path-Specific Effects


Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies


Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation


Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks


Assessing Robustness of Text Classification through Maximal Safe Radius Computation


Assessing Sample Quality via the Latent Space of Generative Models


Assessing Scientific Contributions in Data Sharing Spaces


Assessing Sensitivity of Machine Learning Predictions.A Novel Toolbox with an Application to Financial Literacy


Assessing Social and Intersectional Biases in Contextualized Word Representations


Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram Filtering


Assessing Surrogate Heterogeneity in Real World Data Using Meta-Learners


Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts


Assessing The Factual Accuracy of Generated Text


Assessing The Impact of CNN Auto Encoder-Based Image Denoising on Image Classification Tasks


Assessing Thermodynamic Selectivity of Solid-State Reactions for the Predictive Synthesis of Inorganic Materials


Assessing Time Series Correlation Significance: A Parametric Approach with Application to Physiological Signals


Assessing Time-Varying Causal Effect Moderation in Mobile Health


Assessing UML Models by ChatGPT: Implications for Education


Assessing Vaccine Durability in Randomized Trials Following Placebo Crossover


Assessing Viewer's Mental Health by Detecting Depression in YouTube Videos


Assessing Vulnerability in Smart Contracts: The Role of Code Complexity Metrics in Security Analysis


Assessing Word Importance Using Models Trained for Semantic Tasks


Assessing and Comparing Fixed-Target Forecasts of Arctic Sea Ice: Glide Charts for Feature-Engineered Linear Regression and Machine Learning Models


Assessing and Improving Syntactic Adversarial Robustness of Pre-trained Models for Code Translation


Assessing and tuning brain decoders: cross-validation, caveats, and guidelines


Assessing coincident neutrino detections using population models


Assessing diversity in multiplex networks


Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images


Assessing effect heterogeneity of a randomized treatment using conditional inference trees


Assessing epidemic curves for evidence of superspreading


Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center study


Assessing hierarchies by their consistent segmentations


Assessing incrementality in sequence-to-sequence models


Assessing individual risk and the latent transmission of COVID-19 in a population with an interaction-driven temporal model


Assessing instructor-AI cooperation for grading essay-type questions in an introductory sociology course


Assessing interaction recovery of predicted protein-ligand poses


Assessing mediation in cross-sectional stepped wedge cluster randomized trials


Assessing molecular simulation for the analysis of lipid monolayer reflectometry


Assessing mutualistic metacommunity capacity by integrating spatial and interaction networks


Assessing non-Gaussian quantum state conversion with the stellar rank


Assessing non-linear models for galaxy clustering II: model validation and forecasts for Stage IV surveys


Assessing out-of-domain generalization for robust building damage detection


Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction


Assessing small area estimates via bootstrap-weighted k-Nearest-Neighbor artificial populations


Assessing survival models by interval testing


Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging


Assessing the Accuracy of Multisource Register-based Official Statistics for Multinomial Outcomes


Assessing the Alignment of FOL Closeness Metrics with Human Judgement


Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement


Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US


Assessing the Chemical Intelligence of Large Language Models


Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems


Assessing the Effectiveness of GPT-3 in Detecting False Political Statements: A Case Study on the LIAR Dataset


Assessing the Feasibility of Web-Request Prediction Models on Mobile Platforms


Assessing the Finite-Time Stability of Nonlinear Systems by means of Physics-Informed Neural Networks


Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions


Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent


Assessing the Human Likeness of AI-Generated Counterspeech


Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning


Assessing the Impact of Interface Vulnerabilities in Compartmentalized Software


Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study


Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly Detection


Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT


Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings


Assessing the Limitations of Large Language Models in Clinical Fact Decomposition


Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences


Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data


Assessing the Optimistic Bias in the Natural Inflow Forecasts: A Call for Model Monitoring in Brazil


Assessing the Performance of 1D-Convolution Neural Networks to Predict Concentration of Mixture Components from Raman Spectra


Assessing the Performance of Leja and Clenshaw-Curtis Collocation for Computational Electromagnetics with Random Input Data


Assessing the Performance of Online Students -- New Data, New Approaches, Improved Accuracy


Assessing the Promise and Pitfalls of ChatGPT for Automated Code Generation


Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds


Assessing the Quality of Gridded Population Data for Quantifying the Population Living in Deprived Communities


Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods


Assessing the Quality of the Datasets by Identifying Mislabeled Samples


Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles


Assessing the Reliability of Large Language Model Knowledge


Assessing the Reliability of Word Embedding Gender Bias Measures


Assessing the Risk of Proliferation via Fissile Material Breeding in ARC-class Fusion Power Plants


Assessing the Role of Communication in Scalable Multi-Core Quantum Architectures


Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled Manipulations


Assessing the Security of OPC UA Deployments


Assessing the Use Cases of Persistent Memory in High-Performance Scientific Computing


Assessing the Use of Prosody in Constituency Parsing of Imperfect Transcripts


Assessing the Value of Coupling Thermal Energy Storage with Air-Source Heat Pumps for Residential Space Heating in U.S. Cities


Assessing the Viability of Synthetic Physical Copy Detection Patterns on Different Imaging Systems


Assessing the calibration of multivariate probabilistic forecasts


Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?


Assessing the data-analysis impact of LISA orbit approximations using a GPU-accelerated response model


Assessing the effect of sample bias correction in species distribution models


Assessing the effectiveness of empirical calibration under different bias scenarios


Assessing the impact of forced and voluntary behavioral changes on economic-epidemiological co-dynamics: A comparative case study between Belgium and Sweden during the 2020 COVID-19 pandemic


Assessing the influence of French vaccine critics during the two first years of the COVID-19 pandemic


Assessing the performance of spatial cross-validation approaches for models of spatially structured data


Assessing the persistence of chalcogen bonds in solution with neural network potentials


Assessing the predicting power of GPS data for aftershocks forecasting


Assessing the replicability of RCTs in RWE emulations


Assessing the significance of longitudinal data in Alzheimer's Disease forecasting


Assessing the similarity of real matrices with arbitrary shape


Assessing the techno-economic benefits of LEMs for different grid topologies and prosumer shares


Assessing trade-offs among electrification and grid decarbonization in a clean energy transition: Application to New York State


Assessing transfer entropy from biochemical data


Assessing treatment effects in observational data with missing confounders: A comparative study of practical doubly-robust and traditional missing data methods


Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams


Assessing variable importance in survival analysis using machine learning


Assessing verticalization effects on urban safety perception


Assessment and manipulation of latent constructs in pre-trained language models using psychometric scales


Assessment of Anterior Cruciate Ligament Injury Risk Based on Human Key Points Detection Algorithm


Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology


Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress


Assessment of Pre-Trained Models Across Languages and Grammars


Assessment of Reinforcement Learning for Macro Placement


Assessment of a cost-effective headphone calibration procedure for soundscape evaluations


Assessment of design and analysis frameworks for on-farm experimentation through a simulation study of wheat yield in Japan


Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors


Assessment of localized and randomized algorithms for electronic structure


Assessment of scoring functions for computational models of protein-protein interfaces


Assessment of the Financial Competitiveness of Publicly Listed Indian Real Estate Companies Using the Entropy Method


Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain


Assessment of the suitability of degradation models for the planning of CCTV inspections of sewer pipes


Assessment of unsteady flow predictions using hybrid deep learning based reduced order models


Assessor-Guided Learning for Continual Environments


Asset Allocation: From Markowitz to Deep Reinforcement Learning


AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance


Assigning Agents to Increase Network-Based Neighborhood Diversity


Assigning Confidence to Molecular Property Prediction


Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization


Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework


Assigning Stationary Distributions to Sparse Stochastic Matrices


Assigning probabilities to non-Lipschitz mechanical systems


Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability


AssistQ: Affordance-centric Question-driven Task Completion for Egocentric Assistant


AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant


Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge


Assisted Data Annotation for Business Process Information Extraction from Textual Documents


Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language


Assisting Human Decisions in Document Matching


Assisting Mathematical Formalization with A Learning-based Premise Retriever


Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document


Assistive Teaching of Motor Control Tasks to Humans


Assistive VR Gym: Interactions with Real People to Improve Virtual Assistive Robots


Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown


Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation


Associating Multi-Scale Receptive Fields for Fine-grained Recognition


Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration with Rotating Earth


Association Graph Learning for Multi-Task Classification with Category Shifts


Association in Facial Phenotype, Gene, Disease: A Dataset for Explainable Rare Genetic Diseases Diagnosis


Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm


Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans


Associative Knowledge Graphs for Efficient Sequence Storage and Retrieval


Associative Memory Impairments arising from Neurodegenerative Diseases and Traumatic Brain Injuries in a Hopfield Network Model


Associative Recurrent Memory Transformer


Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture


Associative3D: Volumetric Reconstruction from Sparse Views


Associativity and the cosmash product in operadic varieties of algebras


Assortative and preferential attachment lead to core-periphery networks


Assortative-Constrained Stochastic Block Models


Assortment Optimization for Patient-Provider Matching


Assortment and Reciprocity Mechanisms for Promotion of Cooperation in a Model of Multilevel Selection


Assumption violations in causal discovery and the robustness of score matching


Assumption-lean weak limits and tests for two-stage adaptive experiments


Assurance Methods for designing a clinical trial with a delayed treatment effect


Assurance for clinical trial design with normally distributed outcomes: eliciting uncertainty about variances


Assurance of Distributed Algorithms and Systems: Runtime Checking of Safety and Liveness


AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation


Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge


Asteroseismic radii of dwarfs: New accuracy constraints from Gaia DR2 parallaxes


Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model


Astraeus II: Quantifying the impact of cosmic variance during the Epoch of Reionization


Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models


AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data


AstroCLIP: A Cross-Modal Foundation Model for Galaxies


AstroPortal: An ontology repository concept for astronomy, astronautics and other space topics


AstroVision: Towards Autonomous Feature Detection and Description for Missions to Small Bodies Using Deep Learning


Astroalign: A Python module for astronomical image registration


Astrocladistics of the Jovian Trojan Swarms


Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models


Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network


Astroformer: More Data Might not be all you need for Classification


Astrometric Calibration and Source Characterisation of the Latest Generation Neuromorphic Event-based Cameras for Space Imaging


Astrometric Weak Lensing with Gaia DR3 and Future Catalogs: Searches for Dark Matter Substructure


Astromorphic Self-Repair of Neuromorphic Hardware Systems


Astronomaly Protege: Discovery Through Human-Machine Collaboration


AstronomicAL: An interactive dashboard for visualisation, integration and classification of data using Active Learning


Astronomical Classification of Light Curves with an Ensemble of Gated Recurrent Units


Astronomical image time series classification using CONVolutional attENTION (ConvEntion)


AstronomyCalc: A python toolkit for teaching Astronomical Calculations and Data Analysis methods


AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning


AsyReC: A Multimodal Graph-based Framework for Spatio-Temporal Asymmetric Dyadic Relationship Classification


AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic Segmentation


AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks


Asymmetric Adaptivity induces Recurrent Synchronization in Complex Networks


Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks


Asymmetric Bilateral Motion Estimation for Video Frame Interpolation


Asymmetric CNN for image super-resolution


Asymmetric Co-Training for Source-Free Few-Shot Domain Adaptation


Asymmetric Contextual Modulation for Infrared Small Target Detection


Asymmetric Cross-Scale Alignment for Text-Based Person Search


Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning


Asymmetric Dual-Arm Task Execution using an Extended Relative Jacobian


Asymmetric Dual-Decoder U-Net for Joint Rain and Haze Removal


Asymmetric Hash Code Learning for Remote Sensing Image Retrieval


Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections


Asymmetric Learning for Spectral Graph Neural Networks


Asymmetric Loss Functions for Learning with Noisy Labels


Asymmetric Mask Scheme for Self-Supervised Real Image Denoising


Asymmetric Momentum: A Rethinking of Gradient Descent


Asymmetric Norms to Approximate the Minimum Action Distance


Asymmetric One-Dimensional Slow Electron Holes


Asymmetric Patch Sampling for Contrastive Learning


Asymmetric Penalties Underlie Proper Loss Functions in Probabilistic Forecasting


Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning


Asymmetric Reinforcing against Multi-modal Representation Bias


Asymmetric Student-Teacher Networks for Industrial Anomaly Detection


Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback


Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment


Asymmetric accretion through a streamer onto the pre-stellar core H-MM1


Asymmetric distribution of data products from WALLABY, an SKA precursor neutral hydrogen survey


Asymmetric feature interaction for interpreting model predictions


Asymmetric node placement in fiber-based quantum networks


Asymmetric response of the North Atlantic gyres to the North Atlantic Oscillation


Asymmetrical Bi-RNN for pedestrian trajectory encoding


Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis


Asymmetrical estimator for training encapsulated deep photonic neural networks


Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans


Asymmetry in Low-Rank Adapters of Foundation Models


Asymmetry underlies stability in power grids


Asymptotic Analysis of Conditioned Stochastic Gradient Descent


Asymptotic Analysis of Subglacial Plumes in Stratified Environments


Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure


Asymptotic Analysis on Binned Likelihood and Neutrino Floor


Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture


Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers


Asymptotic Error Analysis of Multilevel Stochastic Approximations for the Value-at-Risk and Expected Shortfall


Asymptotic Fermat's Last Theorem for a family of equations of signature $(2, 2n, n)$


Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance


Asymptotic Improvements to Quantum Circuits via Qutrits


Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection


Asymptotic Online FWER Control for Dependent Test Statistics


Asymptotic Performance Prediction for ADMM-Based Compressed Sensing


Asymptotic Properties of Matthews Correlation Coefficient


Asymptotic Stability in Reservoir Computing


Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm


Asymptotic TCL4 Generator for the Spin-Boson Model: Analytical Derivation and Benchmarking


Asymptotic Validity and Finite-Sample Properties of Approximate Randomization Tests


Asymptotic analysis and efficient random sampling of directed ordered acyclic graphs


Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs


Asymptotic approximation of the likelihood of stationary determinantal point processes


Asymptotic behaviour of integer programming and the $\text{v}$-function of a graded filtration


Asymptotic entropy of the Gibbs state of complex networks


Asymptotic expansion of regular and connected regular graphs


Asymptotic inference with flexible covariate adjustment under rerandomization and stratified rerandomization


Asymptotic links between signal processing, acoustic metamaterials and biology


Asymptotic optimality of adaptive importance sampling


Asymptotic performance of port-based teleportation


Asymptotic stability of sharp fronts: Analysis and rigorous computation


Asymptotic theory of in-context learning by linear attention


Asymptotic well-calibration of the posterior predictive $p$-value under the modified Kolmogorov-Smirnov test


Asymptotical flatness and cone structure at infinity


Asymptotically Efficient Data-adaptive Penalized Shrinkage Estimation with Application to Causal Inference


Asymptotically Efficient Quantum Karatsuba Multiplication


Asymptotically Fair and Truthful Allocation of Public Goods


Asymptotically Optimal Belief Space Planning in Discrete Partially-Observable Domains


Asymptotically Optimal Exact Minibatch Metropolis-Hastings


Asymptotically Optimal Knockoff Statistics via the Masked Likelihood Ratio


Asymptotically Optimal Sampling Policy for Selecting Top-m Alternatives


Asymptotically Stable Data-Driven Koopman Operator Approximation with Inputs using Total Extended DMD


Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction


Asymptotically exact inference in differentiable generative models


Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning


Asymptotics for parametric martingale posteriors


Asymptotics for the Late Arrivals Problem


Asymptotics for volatility derivatives in multi-factor rough volatility models


Asymptotics in finite monoidal categories


Asymptotics of $\ell_2$ Regularized Network Embeddings


Asymptotics of Cointegration Tests for High-Dimensional VAR($k$)


Asymptotics of Learning with Deep Structured (Random) Features


Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models


Asymptotics of feature learning in two-layer networks after one gradient-step


Asymptotics of multivariate sequences IV: generating functions with poles on a hyperplane arrangement


Asymptotics of representation learning in finite Bayesian neural networks


Asymptotics of the Sketched Pseudoinverse


Asymptotics of the discrete log-concave maximum likelihood estimator and related applications


Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks


AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising


AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation


Asynchronous BFT Consensus Made Wireless


Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation


Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource$\unicode{x2013}$constrained Conditions


Asynchronous Bidirectional Decoding for Neural Machine Translation


Asynchronous Byzantine Machine Learning (the case of SGD)


Asynchronous Deterministic Leader Election in Three-Dimensional Programmable Matter


Asynchronous Distributed Bilevel Optimization


Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network


Asynchronous Federated Clustering with Unknown Number of Clusters


Asynchronous Federated Continual Learning


Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing


Asynchronous Federated Learning for Edge-assisted Vehicular Networks


Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine Learning


Asynchronous Heterogeneous Linear Quadratic Regulator Design


Asynchronous Large Language Model Enhanced Planner for Autonomous Driving


Asynchronous Local-SGD Training for Language Modeling


Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration


Asynchronous Multi-Object Tracking with an Event Camera


Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation


Asynchronous Online Testing of Multiple Hypotheses


Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control


Asynchronous Perception Machine For Efficient Test-Time-Training


Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models


Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots


Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays


Asynchronous Spatial-Temporal Allocation for Trajectory Planning of Heterogeneous Multi-Agent Systems


Asynchronous Training of Word Embeddings for Large Text Corpora


Asynchronous and Distributed Data Augmentation for Massive Data Settings


Asynchronous and Error-prone Longitudinal Data Analysis via Functional Calibration


Asynchronous stochastic convex optimization


Asynchronous ε-Greedy Bayesian Optimisation


Asynchronous, Photometric Feature Tracking using Events and Frames


Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow


Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training


At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?


At Which Training Stage Does Code Data Help LLMs Reasoning?


At least two of $ζ(5),ζ(7),\ldots,ζ(35)$ are irrational


At-Most-One Constraints in Efficient Representations of Mutex Networks


At-Scale Sparse Deep Neural Network Inference with Efficient GPU Implementation


AtLoc: Attention Guided Camera Localization


AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation


Atari-5: Distilling the Arcade Learning Environment down to Five Games


Athanor: Local Search over Abstract Constraint Specifications


Athlete rating in multi-competitor games with scored outcomes via monotone transformations


AthletePose3D: A Benchmark Dataset for 3D Human Pose Estimation and Kinematic Validation in Athletic Movements


Athletic Mobile Manipulator System for Robotic Wheelchair Tennis


Atla Selene Mini: A General Purpose Evaluation Model


Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion


Atlas Fusion -- Modern Framework for Autonomous Agent Sensor Data Fusion


Atlas-Based Interpretable Age Prediction In Whole-Body MR Images


Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization


Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices


Atlas: Multi-Scale Attention Improves Long Context Image Modeling


AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation


AtmosMJ: Revisiting Gating Mechanism for AI Weather Forecasting Beyond the Year Scale


Atmospheric Newtonian noise modeling for third-generation gravitational wave detectors


Atmospheric Response for MeV Gamma Rays Observed with Balloon-Borne Detectors


Atmospheric convection plays a key role in the climate of tidally-locked terrestrial exoplanets: insights from high-resolution simulations


Atmospheric loss during giant impacts: mechanisms and scaling of near- and far-field loss


Atmospheric loss in giant impacts depends on pre-impact surface conditions


Atom Interferometer Tests of Dark Matter


Atom-Level Optical Chemical Structure Recognition with Limited Supervision


Atom-by-atom design of metal oxide catalysts for the oxygen evolution reaction with machine learning


Atom: Low-bit Quantization for Efficient and Accurate LLM Serving


Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks


AtomECS: Simulate laser cooling and magneto-optical traps


AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field


AtomNAS: Fine-Grained End-to-End Neural Architecture Search


AtomProNet: Data flow to and from machine learning interatomic potentials in materials science


AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning


AtomVision: A machine vision library for atomistic images


Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation


Atomic Consistency Preference Optimization for Long-Form Question Answering


Atomic Defect-Aware Physical Design of Silicon Dangling Bond Logic on the H-Si(100)2x1 Surface


Atomic Inference for NLI with Generated Facts as Atoms


Atomic effective potentials for starting molecular electronic structure calculations


Atomic motifs govern the decoration of grain boundaries by interstitial solutes


Atomic structure generation from reconstructing structural fingerprints


Atomistic Descriptor Optimization Using Complementary Euclidean and Geodesic Distance Information


Atomistic Graph Neural Networks for metals: Application to bcc iron


Atomistic insights into ultrafast SiGe nanoprocessing


Atomistic mechanism of graphene growth on SiC substrate: Large-scale molecular dynamics simulation based on a new charge-transfer bond-order type potential


Atomistic theory of twist-angle dependent intralayer and interlayer exciton properties in twisted bilayer materials


Atomistically-informed continuum modeling and isogeometric analysis of 2D materials over holey substrates


Atrapos: Real-time Evaluation of Metapath Query Workloads


Atrial Fibrillation Detection and ECG Classification based on CNN-BiLSTM


Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds


AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition


AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units


AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains


AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net


AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism


AttaCut: A Fast and Accurate Neural Thai Word Segmenter


Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection


Attack Prompt Generation for Red Teaming and Defending Large Language Models


Attack Transferability Characterization for Adversarially Robust Multi-label Classification


Attack as Defense: Characterizing Adversarial Examples using Robustness


Attack as Defense: Run-time Backdoor Implantation for Image Content Protection


Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack


Attack of the Tails: Yes, You Really Can Backdoor Federated Learning


Attack on practical speaker verification system using universal adversarial perturbations


Attack-Augmentation Mixing-Contrastive Skeletal Representation Learning


Attack-Resilient Image Watermarking Using Stable Diffusion


Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning


Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models


AttackSeqBench: Benchmarking Large Language Models' Understanding of Sequential Patterns in Cyber Attacks


Attacking (EC)DSA scheme with ephemeral keys sharing specific bits


Attacking Adversarial Defences by Smoothing the Loss Landscape


Attacking Attention of Foundation Models Disrupts Downstream Tasks


Attacking Compressed Vision Transformers


Attacking Open-domain Question Answering by Injecting Misinformation


Attacking Vision-Language Computer Agents via Pop-ups


Attacking Vision-based Perception in End-to-End Autonomous Driving Models


Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection


Attacking deep networks with surrogate-based adversarial black-box methods is easy


Attacking with Something That Does Not Exist: 'Proof of Non-Existence' Can Exhaust DNS Resolver CPU


Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples


Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks


Attacks on Node Attributes in Graph Neural Networks


Attacks on Online Learners: a Teacher-Student Analysis


Attacks on Third-Party APIs of Large Language Models


Attacks on fairness in Federated Learning


Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey


Attainability of Two-Point Testing Rates for Finite-Sample Location Estimation


Attaining Real-Time Super-Resolution for Microscopic Images Using GAN


Attaining entropy production and dissipation maps from Brownian movies via neural networks


Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation


Attamba: Attending To Multi-Token States


Attempted Blind Constrained Descent Experiments


Attempting the impossible: enumerating extremal submodular functions for n=6


AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization


AttenST: A Training-Free Attention-Driven Style Transfer Framework with Pre-Trained Diffusion Models


AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking


Attend Before you Act: Leveraging human visual attention for continual learning


Attend First, Consolidate Later: On the Importance of Attention in Different LLM Layers


Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization


Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin


Attend and select: A segment selective transformer for microblog hashtag generation


Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association


Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization


Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots


Attending to Future Tokens For Bidirectional Sequence Generation


Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning


Attention Approximates Sparse Distributed Memory


Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention


Attention Augmented ConvLSTM for Environment Prediction


Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction


Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances


Attention Based Glaucoma Detection: A Large-scale Database and CNN Model


Attention Based Natural Language Grounding by Navigating Virtual Environment


Attention Based Neural Networks for Wireless Channel Estimation


Attention Based Simple Primitives for Open World Compositional Zero-Shot Learning


Attention Beats Linear for Fast Implicit Neural Representation Generation


Attention Bottlenecks for Multimodal Fusion


Attention Calibration for Disentangled Text-to-Image Personalization


Attention Calibration for Transformer-based Sequential Recommendation


Attention Consistency Refined Masked Frequency Forgery Representation for Generalizing Face Forgery Detection


Attention Consistency on Visual Corruptions for Single-Source Domain Generalization


Attention Cube Network for Image Restoration


Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial Patches


Attention Distillation: A Unified Approach to Visual Characteristics Transfer


Attention Diversification for Domain Generalization


Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality Assessment


Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images


Attention Forcing for Machine Translation


Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT Images


Attention Guided Network for Retinal Image Segmentation


Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images


Attention Heads of Large Language Models: A Survey


Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging


Attention Instruction: Amplifying Attention in the Middle via Prompting