AdjointDEIS: Efficient Gradients for Diffusion Models


Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence


Adjust Planning Strategies to Accommodate Reinforcement Learning Agents


Adjustable Privacy using Autoencoder-based Learning Structure


Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography


Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features


Adjusted chi-square test for degree-corrected block models


Adjusted least squares fitting of algebraic hypersurfaces


Adjusting Image Attributes of Localized Regions with Low-level Dialogue


Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?


Adjusting Neutrino Interaction Models and Evaluating Uncertainties using NOvA Near Detector Data


Adjusting PageRank parameters and Comparing results


Adjusting Pretrained Backbones for Performativity


Adjusting Regression Models for Conditional Uncertainty Calibration


Adjusting for Autocorrelated Errors in Neural Networks for Time Series


Adjusting for Dropout Variance in Batch Normalization and Weight Initialization


Adjusting for Selection Bias Due to Missing Eligibility Criteria in Emulated Target Trials


Adjusting for both sequential testing and systematic error in safety surveillance using observational data: Empirical calibration and MaxSPRT


Adjusting for misclassification of an exposure in an individual participant data meta-analysis


Adjusting inverse regression for predictors with clustered distribution


Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate


Adjustment Identification Distance: A gadjid for Causal Structure Learning


Adjustment for Biased Sampling Using NHANES Derived Propensity Weights


Adjustment for Confounding using Pre-Trained Representations


Adjustment for Unmeasured Spatial Confounding in Settings of Continuous Exposure Conditional on the Binary Exposure Status: Conditional Generalized Propensity Score-Based Spatial Matching


AdlerPy: A Python Package for the Perturbative Adler Function


Admissible Causal Structures and Correlations


Admissible online closed testing must employ e-values


Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach


Admix: Enhancing the Transferability of Adversarial Attacks


Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks


AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search


Adsorb-Agent: Autonomous Identification of Stable Adsorption Configurations via Large Language Model Agent


AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion


Adult content in Social Live Streaming Services: Characterizing deviant users and relationships


Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network


Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model


Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling


Adv-OLM: Generating Textual Adversaries via OLM


Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples


AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning


AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models


AdvDrop: Adversarial Attack to DNNs by Dropping Information


AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples


AdvFAS: A robust face anti-spoofing framework against adversarial examples


AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models


AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models


AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images


AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption


AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER


AdvPrefix: An Objective for Nuanced LLM Jailbreaks


AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs


AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning


AdvReal: Adversarial Patch Generation Framework with Application to Adversarial Safety Evaluation of Object Detection Systems


AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model


AdvST: Revisiting Data Augmentations for Single Domain Generalization


AdvSecureNet: A Python Toolkit for Adversarial Machine Learning


Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking


Advance Warning Methodologies for COVID-19 using Chest X-Ray Images


Advance quantum image representation and compression using DCTEFRQI approach


Advanced Attacks On Qubit-Ensemble Based Quantum Coins


Advanced Data Visualization in Astrophysics: the X3D Pathway


Advanced Deep Networks for 3D Mitochondria Instance Segmentation


Advanced Digital Signal Processing Techniques for High-Speed Optical Communications Links


Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization


Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery


Advanced Hough-based method for on-device document localization


Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing


Advanced Mathematical Modelling for Energy-Efficient Data Transmission and Fusion in Wireless Sensor Networks


Advanced Millimeter-Wave Radar System for Real-Time Multiple-Human Tracking and Fall Detection


Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies


Advanced Python Performance Monitoring with Score-P


Advanced Semantics for Commonsense Knowledge Extraction


Advanced Signal Analysis in Detecting Replay Attacks for Automatic Speaker Verification Systems


Advanced Smart City Monitoring: Real-Time Identification of Indian Citizen Attributes


Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera


Advanced analysis of single-molecule spectroscopic data


Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery


Advanced crack tip field characterization using conjugate work integrals


Advanced deep architecture pruning using single filter performance


Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality


Advanced modeling of materials with PAOFLOW 2.0: New features and software design


Advanced sleep spindle identification with neural networks


Advanced unembedding techniques for quantum annealers


Advanced-Step Real-time Iterations with Four Levels -- New Error Bounds and Fast Implementation in acados


Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development


Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models


Advancements in Traffic Processing Using Programmable Hardware Flow Offload


Advancements in Visual Language Models for Remote Sensing: Datasets, Capabilities, and Enhancement Techniques


Advancements in the GravAD Pipeline: Template Reduction and Testing Simulated Signals for Black Hole Detection


Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems


Advances in 3D Neural Stylization: A Survey


Advances in Deep Concealed Scene Understanding


Advances in Embodied Navigation Using Large Language Models: A Survey


Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators


Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review


Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models


Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field


Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms


Advances in Trajectory Optimization for Space Vehicle Control


Advances in integration of end-to-end neural and clustering-based diarization for real conversational speech


Advances in projection predictive inference


Advances of Transformer-Based Models for News Headline Generation


Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training


Advancing 3D finger knuckle recognition via deep feature learning


Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment


Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation


Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models


Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models


Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation


Advancing Automated Deception Detection: A Multimodal Approach to Feature Extraction and Analysis


Advancing Bayesian Optimization via Learning Correlated Latent Space


Advancing Behavior Generation in Mobile Robotics through High-Fidelity Procedural Simulations


Advancing Beyond Identification: Multi-bit Watermark for Large Language Models


Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning


Advancing Brainwave-Based Biometrics: A Large-Scale, Multi-Session Evaluation


Advancing CAN Network Security through RBM-Based Synthetic Attack Data Generation for Intrusion Detection Systems


Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence


Advancing Cell Detection in Anterior Segment Optical Coherence Tomography Images


Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion


Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation


Advancing Continuous Distribution Generation: An Exponentiated Odds Ratio Generator Approach


Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models


Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping


Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models


Advancing Employee Behavior Analysis through Synthetic Data: Leveraging ABMs, GANs, and Statistical Models for Enhanced Organizational Efficiency


Advancing Eurasia Fire Understanding Through Machine Learning Techniques


Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network


Advancing Face-to-Face Emotion Communication: A Multimodal Dataset (AFFEC)


Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms


Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation


Advancing Free-Space Optical Communication System Architecture: Performance Analysis of Varied Optical Ground Station Network Configurations


Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding


Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge


Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models


Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation


Advancing Glitch Classification in Gravity Spy: Multi-view Fusion with Attention-based Machine Learning for Advanced LIGO's Fourth Observing Run


Advancing Globular Cluster Constraints on the Axion-Photon Coupling


Advancing High Resolution Vision-Language Models in Biomedicine


Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback


Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling


Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations


Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration


Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer


Advancing Medical Representation Learning Through High-Quality Data


Advancing Multi-grained Alignment for Contrastive Language-Audio Pre-training


Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning


Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation


Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start


Advancing Music Therapy: Integrating Eastern Five-Element Music Theory and Western Techniques with AI in the Novel Five-Element Harmony System


Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets


Advancing Network Security: A Comprehensive Testbed and Dataset for Machine Learning-Based Intrusion Detection


Advancing Newborn Care: Precise Birth Time Detection Using AI-Driven Thermal Imaging with Adaptive Normalization


Advancing Object-Centric Process Mining with Multi-Dimensional Data Operations


Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler


Advancing Out-of-Distribution Detection via Local Neuroplasticity


Advancing PICO Element Detection in Biomedical Text via Deep Neural Networks


Advancing Parameter Efficiency in Fine-tuning via Representation Editing


Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model


Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models


Advancing Post-OCR Correction: A Comparative Study of Synthetic Data


Advancing Prompt-Based Methods for Replay-Independent General Continual Learning


Advancing RVFL networks: Robust classification with the HawkEye loss function


Advancing Radiograph Representation Learning with Masked Record Modeling


Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study


Advancing Regular Language Reasoning in Linear Recurrent Neural Networks


Advancing SQL Injection Detection for High-Speed Data Centers: A Novel Approach Using Cascaded NLP


Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers


Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss


Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning of Discrete Latent Variable Models


Advancing Sequential Numerical Prediction in Autoregressive Models


Advancing Set-Conditional Set Generation: Diffusion Models for Fast Simulation of Reconstructed Particles


Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays


Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models


Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions


Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark


Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation


Advancing Spiking Neural Networks towards Deep Residual Learning


Advancing State of the Art in Language Modeling


Advancing Stepped Wedge Cluster Randomized Trials Analysis: Bayesian Hierarchical Penalized Spline Models for Immediate and Time-Varying Intervention Effects


Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach


Advancing Sustainability via Recommender Systems: A Survey


Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented Generation


Advancing Talking Head Generation: A Comprehensive Survey of Multi-Modal Methodologies, Datasets, Evaluation Metrics, and Loss Functions


Advancing Test-Time Adaptation in Wild Acoustic Test Settings


Advancing Time Series Classification with Multimodal Language Modeling


Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning


Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmark


Advancing Topic Segmentation of Broadcasted Speech with Multilingual Semantic Embeddings


Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation


Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey


Advancing Transformer's Capabilities in Commonsense Reasoning


Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset


Advancing Unsupervised Low-light Image Enhancement: Noise Estimation, Illumination Interpolation, and Self-Regulation


Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language


Advancing Video Self-Supervised Learning via Image Foundation Models


Advancing Vietnamese Visual Question Answering with Transformer and Convolutional Integration


Advancing Vision Transformers with Group-Mix Attention


Advancing Visual Grounding with Scene Knowledge: Benchmark and Method


Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration Approach


Advancing Zero-Shot Digital Human Quality Assessment through Text-Prompted Evaluation


Advancing and Benchmarking Personalized Tool Invocation for LLMs


Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation


Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization


Advancing stable set problem solutions through quantum annealers


Advancing the Biological Plausibility and Efficacy of Hebbian Convolutional Neural Networks


Advancing the Understanding and Evaluation of AR-Generated Scenes: When Vision-Language Models Shine and Stumble


Advantage-Guided Distillation for Preference Alignment in Small Language Models


AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment


Advection improves homogenized models of continuum diffusion in one-dimensional heterogeneous media


AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing


Advening to Adynkrafields: Young Tableaux to Component Fields of the 10D, N = 1 Scalar Superfield


AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs


Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion


Adversarial $α$-divergence Minimization for Bayesian Approximate Inference


Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores


Adversarial Approximate Inference for Speech to Electroglottograph Conversion


Adversarial Attack Generation Empowered by Min-Max Optimization


Adversarial Attack On Yolov5 For Traffic And Road Sign Detection


Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors


Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems


Adversarial Attack and Defense for Non-Parametric Two-Sample Tests


Adversarial Attack and Defense of Structured Prediction Models


Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios


Adversarial Attack and Defense on Graph Data: A Survey


Adversarial Attack for RGB-Event based Visual Object Tracking


Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks


Adversarial Attack on Large Language Models using Exponentiated Gradient Descent


Adversarial Attack on Network Embeddings via Supervised Network Poisoning


Adversarial Attack via Dual-Stage Network Erosion


Adversarial Attacks Against Medical Deep Learning Systems


Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment


Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art


Adversarial Attacks and Defense Methods for Power Quality Recognition


Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process


Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey


Adversarial Attacks are Reversible with Natural Supervision


Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations


Adversarial Attacks on Combinatorial Multi-Armed Bandits


Adversarial Attacks on Deep Models for Financial Transaction Records


Adversarial Attacks on Deep Neural Networks for Time Series Classification


Adversarial Attacks on Fairness of Graph Neural Networks


Adversarial Attacks on Gaussian Process Bandits


Adversarial Attacks on Graph Neural Networks via Meta Learning


Adversarial Attacks on Leakage Detectors in Water Distribution Networks


Adversarial Attacks on ML Defense Models Competition


Adversarial Attacks on Monocular Pose Estimation


Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation


Adversarial Attacks on Probabilistic Autoregressive Forecasting Models


Adversarial Attacks on Robotic Vision Language Action Models


Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision


Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification


Adversarial Attacks on Transformers-Based Malware Detectors


Adversarial Attacks on Variational Autoencoders


Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts


Adversarial Augmentation for Enhancing Classification of Mammography Images


Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach


Adversarial Autoencoders with Constant-Curvature Latent Manifolds


Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization


Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data


Adversarial Bandits with Multi-User Delayed Feedback: Theory and Application


Adversarial Bayesian Augmentation for Single-Source Domain Generalization


Adversarial Bipartite Graph Learning for Video Domain Adaptation


Adversarial Bounding Boxes Generation (ABBG) Attack against Visual Object Trackers


Adversarial Branch Architecture Search for Unsupervised Domain Adaptation


Adversarial Camouflage for Node Injection Attack on Graphs


Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles


Adversarial Canonical Correlation Analysis


Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites


Adversarial Computation of Optimal Transport Maps


Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks


Adversarial Constraint Learning for Structured Prediction


Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks


Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation


Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets


Adversarial Correctness and Privacy for Probabilistic Data Structures


Adversarial Counterfactual Learning and Evaluation for Recommender System


Adversarial Counterfactual Visual Explanations


Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion


Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data


Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection


Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies


Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks


Adversarial Defense by Suppressing High-frequency Components


Adversarial Detection without Model Information


Adversarial Detection: Attacking Object Detection in Real Time


Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models


Adversarial Diffusion Compression for Real-World Image Super-Resolution


Adversarial Discriminative Sim-to-real Transfer of Visuo-motor Policies


Adversarial Disentanglement by Backpropagation with Physics-Informed Variational Autoencoder


Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation


Adversarial Disentanglement with Grouped Observations


Adversarial Distillation of Bayesian Neural Network Posteriors


Adversarial Distortion Learning for Medical Image Denoising


Adversarial Distributional Training for Robust Deep Learning


Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred Learning


Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation


Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models


Adversarial Environment Generation for Learning to Navigate the Web


Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket


Adversarial Examples Are Not Real Features


Adversarial Examples Detection with Bayesian Neural Network


Adversarial Examples Make Strong Poisons


Adversarial Examples as an Input-Fault Tolerance Problem


Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning


Adversarial Examples for $k$-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams


Adversarial Examples for Evaluating Math Word Problem Solvers


Adversarial Examples for Evaluating Reading Comprehension Systems


Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning


Adversarial Examples in Deep Learning for Multivariate Time Series Regression


Adversarial Examples in the Physical World: A Survey


Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness


Adversarial Extreme Multi-label Classification


Adversarial Feature Augmentation and Normalization for Visual Recognition


Adversarial Feature Augmentation for Cross-domain Few-shot Classification


Adversarial Filtering Based Evasion and Backdoor Attacks to EEG-Based Brain-Computer Interfaces


Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency


Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance


Adversarial Fisher Vectors for Unsupervised Representation Learning


Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features


Adversarial Framing for Image and Video Classification


Adversarial Generalized Method of Moments


Adversarial Generation of Continuous Images


Adversarial Generation of Time-Frequency Features with application in audio synthesis


Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks


Adversarial Hubness in Multi-Modal Retrieval


Adversarial Illusions in Multi-Modal Embeddings


Adversarial Images for Variational Autoencoders


Adversarial Imitation Learning from Incomplete Demonstrations


Adversarial Imitation Learning from Visual Observations using Latent Information


Adversarial Imitation Learning with Trajectorial Augmentation and Correction


Adversarial Infidelity Learning for Model Interpretation


Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks


Adversarial Intrinsic Motivation for Reinforcement Learning


Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start


Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink


Adversarial Learned Molecular Graph Inference and Generation


Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation


Adversarial Learning for Counterfactual Fairness


Adversarial Learning for Feature Shift Detection and Correction


Adversarial Learning for Personalized Tag Recommendation


Adversarial Learning for Zero-Shot Stance Detection on Social Media


Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes


Adversarial Learning on the Latent Space for Diverse Dialog Generation


Adversarial Learning with Margin-based Triplet Embedding Regularization


Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning


Adversarial Machine Learning in Latent Representations of Neural Networks


Adversarial Machine Learning: Bayesian Perspectives


Adversarial Magnification to Deceive Deepfake Detection through Super Resolution


Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation


Adversarial Manhole: Challenging Monocular Depth Estimation and Semantic Segmentation Models with Patch Attack


Adversarial Manipulation of Deep Representations


Adversarial Manipulation of Reasoning Models using Internal Representations


Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model


Adversarial Masking for Self-Supervised Learning


Adversarial Math Word Problem Generation


Adversarial Medical Image with Hierarchical Feature Hiding


Adversarial Metric Attack and Defense for Person Re-identification


Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup


Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data


Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint


Adversarial Moment-Matching Distillation of Large Language Models


Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures


Adversarial Motorial Prototype Framework for Open Set Recognition


Adversarial Multi-Task Deep Learning for Noise-Robust Voice Activity Detection with Low Algorithmic Delay


Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations


Adversarial Multi-task Learning for End-to-end Metaphor Detection


Adversarial Multiscale Feature Learning for Overlapping Chromosome Segmentation


Adversarial Mutual Information for Text Generation


Adversarial Network Traffic: Towards Evaluating the Robustness of Deep Learning-Based Network Traffic Classification


Adversarial Neural Pruning with Latent Vulnerability Suppression


Adversarial Neuron Pruning Purifies Backdoored Deep Models


Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation


Adversarial Noise Layer: Regularize Neural Network By Adding Noise


Adversarial Observations in Weather Forecasting


Adversarial Online Learning with Variable Plays in the Pursuit-Evasion Game: Theoretical Foundations and Application in Connected and Automated Vehicle Cybersecurity


Adversarial Online Multi-Task Reinforcement Learning


Adversarial Option-Aware Hierarchical Imitation Learning


Adversarial Out-domain Examples for Generative Models


Adversarial Patch for 3D Local Feature Extractor


Adversarial Path Planning for Optimal Camera Positioning


Adversarial Personalized Ranking for Recommendation


Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression


Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI


Adversarial Perturbations Fool Deepfake Detectors


Adversarial Policies: Attacking Deep Reinforcement Learning


Adversarial Policy Gradient for Deep Learning Image Augmentation


Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning


Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game


Adversarial Privacy Preserving Graph Embedding against Inference Attack


Adversarial Privacy Protection on Speech Enhancement


Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs


Adversarial Prompt Tuning for Vision-Language Models


Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization


Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness


Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation


Adversarial Purification of Information Masking


Adversarial Rademacher Complexity of Deep Neural Networks


Adversarial Reasoning at Jailbreaking Time


Adversarial Reciprocal Points Learning for Open Set Recognition


Adversarial Regression Learning for Bone Age Estimation


Adversarial Regression with Multiple Learners


Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach


Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation


Adversarial Removal of Demographic Attributes from Text Data


Adversarial Representation Active Learning


Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models


Adversarial Representation Learning With Closed-Form Solvers


Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection


Adversarial Representation Learning for Robust Privacy Preservation in Audio


Adversarial Reprogramming of Text Classification Neural Networks


Adversarial Reweighting with $α$-Power Maximization for Domain Adaptation


Adversarial Robust Memory-Based Continual Learner


Adversarial Robust Training of Deep Learning MRI Reconstruction Models


Adversarial Robustification via Text-to-Image Diffusion Models


Adversarial Robustness Assessment: Why both $L_0$ and $L_\infty$ Attacks Are Necessary


Adversarial Robustness Certification for Bayesian Neural Networks


Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs


Adversarial Robustness Guarantees for Random Deep Neural Networks


Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR images


Adversarial Robustness Verification and Attack Synthesis in Stochastic Systems


Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers


Adversarial Robustness by Design through Analog Computing and Synthetic Gradients


Adversarial Robustness for Visual Grounding of Multimodal Large Language Models


Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach


Adversarial Robustness of Deep Code Comment Generation


Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images


Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations


Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers


Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding


Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients


Adversarial Robustness of Supervised Sparse Coding


Adversarial Robustness of VAEs across Intersectional Subgroups


Adversarial Robustness on In- and Out-Distribution Improves Explainability


Adversarial Robustness through the Lens of Convolutional Filters


Adversarial Robustness under Long-Tailed Distribution


Adversarial Robustness with Non-uniform Perturbations


Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning


Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing


Adversarial Sample Detection for Speaker Verification by Neural Vocoders


Adversarial Score Distillation: When score distillation meets GAN


Adversarial Scratches: Deployable Attacks to CNN Classifiers


Adversarial Scrubbing of Demographic Information for Text Classification


Adversarial Self-Attention for Language Understanding


Adversarial Self-Defense for Cycle-Consistent GANs


Adversarial Self-Supervised Contrastive Learning


Adversarial Semantic Data Augmentation for Human Pose Estimation


Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation


Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images


Adversarial Sign-Corrupted Isotonic Regression


Adversarial Socialbots Modeling Based on Structural Information Principles


Adversarial Sticker: A Stealthy Attack Method in the Physical World


Adversarial Structure Matching for Structured Prediction Tasks


Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection


Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation


Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling


Adversarial Sub-sequence for Text Generation


Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data


Adversarial Subword Regularization for Robust Neural Machine Translation


Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive


Adversarial Text Rewriting for Text-aware Recommender Systems


Adversarial Texture Optimization from RGB-D Scans


Adversarial Texture for Fooling Person Detectors in the Physical World


Adversarial Training For Low-Resource Disfluency Correction


Adversarial Training Methods for Network Embedding


Adversarial Training Towards Robust Multimedia Recommender System


Adversarial Training against Location-Optimized Adversarial Patches


Adversarial Training and Provable Robustness: A Tale of Two Objectives


Adversarial Training and Robustness for Multiple Perturbations


Adversarial Training for Code Retrieval with Question-Description Relevance Regularization


Adversarial Training for Defense Against Label Poisoning Attacks


Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation


Adversarial Training for Physics-Informed Neural Networks


Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis


Adversarial Training of Two-Layer Polynomial and ReLU Activation Networks via Convex Optimization


Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning(A-CZSL)


Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization


Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks


Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks


Adversarial Training with OCR Modality Perturbation for Scene-Text Visual Question Answering


Adversarial Turing Patterns from Cellular Automata


Adversarial Uncertainty Quantification in Physics-Informed Neural Networks


Adversarial Unlearning of Backdoors via Implicit Hypergradient


Adversarial Variational Embedding for Robust Semi-supervised Learning


Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting


Adversarial Weight Perturbation Helps Robust Generalization


Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks


Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime


Adversarial and Clean Data Are Not Twins


Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation


Adversarial attacks and defenses in explainable artificial intelligence: A survey


Adversarial attacks on voter model dynamics in complex networks


Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations


Adversarial camera stickers: A physical camera-based attack on deep learning systems


Adversarial classification: An adversarial risk analysis approach


Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham


Adversarial control of synchronization in complex oscillator networks


Adversarial flows: A gradient flow characterization of adversarial attacks


Adversarial learning of cancer tissue representations


Adversarial random forests for density estimation and generative modeling


Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays


Adversarial representation learning for private speech generation


Adversarial robustness of VAEs through the lens of local geometry


Adversarial robustness of amortized Bayesian inference


Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition


Adversarial samples for deep monocular 6D object pose estimation


Adversarial sampling of unknown and high-dimensional conditional distributions


Adversarial shape perturbations on 3D point clouds


Adversarial symmetric GANs: bridging adversarial samples and adversarial networks


Adversarial-Learned Loss for Domain Adaptation


Adversarial-based neural networks for affect estimations in the wild


Adversarially Balanced Representation for Continuous Treatment Effect Estimation


Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning


Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning


Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark


Adversarially Pretrained Transformers may be Universally Robust In-Context Learners


Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge


Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs


Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics


Adversarially Robust Decision Transformer


Adversarially Robust Learning with Optimal Transport Regularized Divergences


Adversarially Robust One-class Novelty Detection


Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings


Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs


Adversarially Robust Spiking Neural Networks Through Conversion


Adversarially Robust Topological Inference


Adversarially-Aware Robust Object Detector


Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification


Adversarially-Trained Nonnegative Matrix Factorization


Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness


Adversaries with Limited Information in the Friedkin--Johnsen Model


Adversary Detection in Neural Networks via Persistent Homology


Adversary Resilient Learned Bloom Filters


Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN


Advice on describing Bayesian analysis of neutron and X-ray reflectometry


Advising OpenMP Parallelization via a Graph-Based Approach with Transformers


AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence


AeDet: Azimuth-invariant Multi-view 3D Object Detection


Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks


Aeolian sediment transport on Io from lava-frost interactions


Aeolus Ocean -- A simulation environment for the autonomous COLREG-compliant navigation of Unmanned Surface Vehicles using Deep Reinforcement Learning and Maritime Object Detection


AeonG: An Efficient Built-in Temporal Support in Graph Databases


AequeVox: Automated Fairness Testing of Speech Recognition Systems


Aergia: Leveraging Heterogeneity in Federated Learning Systems


Aerial Base Station Placement Leveraging Radio Tomographic Maps


Aerial Base Station Placement via Propagation Radio Maps


Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models


Aerial Height Prediction and Refinement Neural Networks with Semantic and Geometric Guidance


Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3


Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery


Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication Systems


Aerial Robots Persistent Monitoring and Target Detection: Deployment and Assessment in the Field


Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks


AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation


AerialVLN: Vision-and-Language Navigation for UAVs


Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations


AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation


AeroRIT: A New Scene for Hyperspectral Image Analysis


AeroReformer: Aerial Referring Transformer for UAV-based Referring Image Segmentation


Aerosols are not Spherical Cows: Using Discrete Dipole Approximation to Model the Properties of Fractal Particles


Aerostack2: A Software Framework for Developing Multi-robot Aerial Systems


AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception


AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception


AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer


AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks


AesUST: Towards Aesthetic-Enhanced Universal Style Transfer


Aesthetic Discrimination of Graph Layouts


Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization


Aesthetic Text Logo Synthesis via Content-aware Layout Inferring


Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka


Aethorix v1.0: AI-Driven Inverse Design of Inorganic Materials for Scalable Industrial Innovation


Affect Expression Behaviour Analysis in the Wild using Consensual Collaborative Training


Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information


Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning


Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality


Affective Behaviour Analysis Using Pretrained Model with Facial Priori


Affective Decoding for Empathetic Response Generation


Affective Faces for Goal-Driven Dyadic Communication


Affective Feedback Synthesis Towards Multimodal Text and Image Data


Affective Idiosyncratic Responses to Music


Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human


Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning


Affective Polarization Amongst Swedish Politicians


Affective and Dynamic Beam Search for Story Generation


Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation


Affine Correspondences between Multi-Camera Systems for Relative Pose Estimation


Affine EKF: Exploring and Utilizing Sufficient and Necessary Conditions for Observability Maintenance to Improve EKF Consistency


Affine Macdonald conjectures and special values of Felder-Varchenko functions


Affine Medical Image Registration with Coarse-to-Fine Vision Transformer


Affine Non-negative Collaborative Representation Based Pattern Classification


Affine equivalences of surfaces of translation and minimal surfaces, and applications to symmetry detection and design


Affine steerers for structured keypoint description


Affine transitions for involution Stanley symmetric functions


Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection


AffineQuant: Affine Transformation Quantization for Large Language Models


Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation


Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy


Affinity Derivation and Graph Merge for Instance Segmentation


Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation


Affinity LCFCN: Learning to Segment Fish with Weak Supervision


Affinity Space Adaptation for Semantic Segmentation Across Domains


Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning


Affinity-Aware Resource Provisioning for Long-Running Applications in Shared Clusters


Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans


AffinityNet: semi-supervised few-shot learning for disease type prediction


Affirmative Action's Cumulative Fractional Assignments


AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose


Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQs


Affordance Grounding from Demonstration Video to Target Image


Affordance Learning from Play for Sample-Efficient Policy Learning


Affordance detection with Dynamic-Tree Capsule Networks


Affordance segmentation of hand-occluded containers from exocentric images


Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion


Affordance-based Robot Manipulation with Flow Matching


AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection


AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages


AfriHuBERT: A self-supervised speech representation model for African languages


AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages


AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin


African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification


Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languages


AfroLID: A Neural Language Identification Tool for African Languages


AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages


AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages


Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations


AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents


AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning


AgMTR: Agent Mining Transformer for Few-shot Segmentation in Remote Sensing


Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks


Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification


Against The Achilles' Heel: A Survey on Red Teaming for Generative Models


Age Group Sensitivity Analysis of Epidemic Models: Investigating the Impact of Contact Matrix Structure


Age and market capitalization drive large price variations of cryptocurrencies


Age of Information Analysis for Multi-Priority Queue and NOMA Enabled C-V2X in IoV


Age of Information Analysis in Shared Edge Computing Servers


Age of Information in Energy Harvesting Aided Massive Multiple Access Networks


Age of Information in Prioritized Random Access


Age of View: A New Metric for Evaluating Heterogeneous Information Fusion in Vehicular Cyber-Physical Systems


Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach


Age-Dependent Analysis and Stochastic Generation of Child-Directed Speech


Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model


Age-specific transmission dynamics of SARS-CoV-2 during the first two years of the pandemic


Age-structured estimation of COVID-19 ICU demand from low quality data


AgeFlow: Conditional Age Progression and Regression with Normalizing Flows


Agent Attention: On the Integration of Softmax and Linear Attention


Agent Based Virus Model using NetLogo: Infection Propagation, Precaution, Recovery, Multi-site Mobility and (Un)Lockdown


Agent Coordination via Contextual Regression (AgentCONCUR) for Data Center Flexibility


Agent Instructs Large Language Models to be General Zero-Shot Reasoners


Agent Journey Beyond RGB: Unveiling Hybrid Semantic-Spatial Environmental Representations for Vision-and-Language Navigation


Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving


Agent Lumos: Unified and Modular Training for Open-Source Language Agents


Agent Modelling under Partial Observability for Deep Reinforcement Learning


Agent Performing Autonomous Stock Trading under Good and Bad Situations


Agent Planning with World Knowledge Model


Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents


Agent Skill Acquisition for Large Language Models via CycleQD


Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast


Agent models: Internalizing Chain-of-Action Generation into Reasoning models


Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving


Agent-Arena: A General Framework for Evaluating Control Algorithms


Agent-Based Simulation of UAV Battery Recharging for IoT Applications: Precision Agriculture, Disaster Recovery, and Dengue Vector Control


Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information


Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems


Agent-Enhanced Large Language Models for Researching Political Institutions


Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models


Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization


Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training


Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents


Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs


Agent-State Construction with Auxiliary Inputs


Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning


Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning


Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks


Agent-as-Judge for Factual Summarization of Long Narratives


Agent-as-a-Judge: Evaluate Agents with Agents


Agent-aware State Estimation in Autonomous Vehicles


Agent-based Learning of Materials Datasets from Scientific Literature


Agent-based simulations for protecting nursing homes with prevention and vaccination strategies


Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems


AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery


AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models


AgentBreeder: Mitigating the AI Safety Impact of Multi-Agent Scaffolds via Self-Improvement


AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations


AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning


AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation


AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents


AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents


AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration


AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design


AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting


AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation


AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need


AgentGroupChat: An Interactive Group Chat Simulacra For Better Eliciting Emergent Behavior


AgentGym: Evolving Large Language Model-based Agents across Diverse Environments


AgentKit: Structured LLM Reasoning with Dynamic Graphs


AgentMonitor: A Plug-and-Play Framework for Predictive and Secure Multi-Agent Systems


AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework


AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning


AgentOrchestra: A Hierarchical Multi-Agent Framework for General-Purpose Task Solving


AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases


AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents


AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation Extraction


AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback


AgentReview: Exploring Peer Review Dynamics with LLM Agents


AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios


AgentSims: An Open-Source Sandbox for Large Language Model Evaluation


AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation


AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms


AgentSquare: Automatic LLM Agent Search in Modular Design Space


AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text


AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents


Agentic AI for Intent-Based Industrial Automation


Agentic Feedback Loop Modeling Improves Recommendation and User Simulation


Agentic Keyframe Search for Video Question Answering


Agentic LLM Workflows for Generating Patient-Friendly Medical Reports


Agentic Predictor: Performance Prediction for Agentic Workflows via Multi-View Encoding


Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research


Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG


Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems


Agentic Search Engine for Real-Time IoT Data


Agentic Society: Merging skeleton from real world and texture from Large Language Model


Agentic-HLS: An agentic reasoning based high-level synthesis system using large language models (AI for EDA workshop 2024)


Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data


Agents in Software Engineering: Survey, Landscape, and Vision


Agents' Room: Narrative Generation through Multi-step Collaboration


AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation


AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation


Aggregate Hardware Impairments Over Mixed RF/FSO Relaying Systems With Outdated CSI


Aggregate Model of District Heating Network for Integrated Energy Dispatch: A Physically Informed Data-Driven Approach


Aggregate Processes as Distributed Adaptive Services for the Industrial Internet of Things


Aggregate, Decompose, and Fine-Tune: A Simple Yet Effective Factor-Tuning Method for Vision Transformer


Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models


Aggregated Contextual Transformations for High-Resolution Image Inpainting


Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers


Aggregated functional data model applied on clustering and disaggregation of UK electrical load profiles


Aggregating Dependent Signals with Heavy-Tailed Combination Tests


Aggregating Global Features into Local Vision Transformer


Aggregating Layers for Deepfake Detection


Aggregating Nearest Sharp Features via Hybrid Transformers for Video Deblurring


Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction


Aggregating distribution forecasts from deep ensembles


Aggregating multiple test results to improve medical decision-making


Aggregating the response in time series regression models, applied to weather-related cardiovascular mortality


Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors


Aggregation and Finetuning for Clothes Landmark Detection


Aggregation of Stack Trace Similarities for Crash Report Deduplication


Aggregation of evaluations without unanimity


Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation


Aggregation-Based Gossip for Certificate Transparency


Aggregation-diffusion in heterogeneous environments


Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning


Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification


Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning


Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification


Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion


Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Second Replication Study (GPT2SP Replication Report)


Agile Multi-Source-Free Domain Adaptation


Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing


Agile and Safe Trajectory Planning for Quadruped Navigation with Motion Anisotropy Awareness


Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge


AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodology


Aging and Reliability of Quantum Networks


Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors


Aging-Aware Battery Control via Convex Optimization


Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference


Agnostic Estimation of Mean and Covariance


Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms


Agnostic calculation of atomic free energies with the descriptor density of states


AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators


Agree to Disagree: Diversity through Disagreement for Better Transferability


Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations


Agree to Disagree? A Meta-Evaluation of LLM Misgendering


Agreeing and Disagreeing in Collaborative Knowledge Graph Construction: An Analysis of Wikidata


Agreement or Disagreement in Noise-tolerant Mutual Learning?


Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift


Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases


AgriBench: A Hierarchical Agriculture Benchmark for Multimodal Large Language Models


AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment


AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Crop Mapping


AgriSORT: A Simple Online Real-time Tracking-by-Detection framework for robotics in precision agriculture


Agricultural Field Boundary Detection through Integration of "Simple Non-Iterative Clustering (SNIC) Super Pixels" and "Canny Edge Detection Method"


Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision


Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy


AgroGPT: Efficient Agricultural Vision-Language Model with Expert Tuning


Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line Detection


Ahead of the Count: An Algorithm for Probabilistic Prediction of Instant Runoff (IRV) Elections


Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound


AiATrack: Attention in Attention for Transformer Visual Tracking


AiGet: Transforming Everyday Moments into Hidden Knowledge Discovery with AI Assistance on Smart Glasses


AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications


AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation


AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification


AidUI: Toward Automated Recognition of Dark Patterns in User Interfaces


Aided design of bridge aesthetics based on Stable Diffusion fine-tuning


AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance


AiiDA-defects: An automated and fully reproducible workflow for the complete characterization of defect chemistry in functional materials


AiluRus: A Scalable ViT Framework for Dense Prediction


Aioli: A Unified Optimization Framework for Language Model Data Mixing


Air Bumper: A Collision Detection and Reaction Framework for Autonomous MAV Navigation


Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation


Air Quality Forecasting Using Machine Learning: A Global perspective with Relevance to Low-Resource Settings


Air Quality in the New Delhi Metropolis under COVID-19 Lockdown


Air Resistance From the Acceleration of a Falling Smartphone


Air Signing and Privacy-Preserving Signature Verification for Digital Documents


Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning


Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data


Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation


Air-HOLP: Adaptive Regularized Feature Screening for High Dimensional Correlated Data


AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment


AirCode: A Robust Object Encoding Method


AirCompSim: A Discrete Event Simulator for Air Computing


AirDOS: Dynamic SLAM benefits from Articulated Objects


AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration


AirFogSim: A Light-Weight and Modular Simulator for UAV-Integrated Vehicular Fog Computing


AirFormer: Predicting Nationwide Air Quality in China with Transformers


AirGuard -- Protecting Android Users From Stalking Attacks By Apple Find My Devices


AirIMU: Learning Uncertainty Propagation for Inertial Odometry


AirLift: A Fast and Comprehensive Technique for Remapping Alignments between Reference Genomes


AirLine: Efficient Learnable Line Detection with Local Edge Voting


AirLoc: Object-based Indoor Relocalization


AirLoop: Lifelong Loop Closure Detection


AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis


AirObject: A Temporally Evolving Graph Embedding for Object Identification


AirPilot: Interpretable PPO-based DRL Auto-Tuned Nonlinear PID Drone Controller for Robust Autonomous Flights


AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation


AirSPEC: An IoT-empowered Air Quality Monitoring System integrated with a Machine Learning Framework to Detect and Predict defined Air Quality parameters


AirShot: Efficient Few-Shot Detection for Autonomous Exploration


AirSwarm: Enabling Cost-Effective Multi-UAV Research with COTS drones


Airalogy: AI-empowered universal data digitization for research automation


Airavata: Introducing Hindi Instruction-tuned LLM


Airbert: In-domain Pretraining for Vision-and-Language Navigation


Airbnb Price Prediction Using Machine Learning and Sentiment Analysis


Aircraft Conflict Resolution: A Benchmark Generator


Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks


Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation


Airfoil's Aerodynamic Coefficients Prediction using Artificial Neural Network


Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users


AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories


Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions


AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding


Alaska: A Flexible Benchmark for Data Integration Tasks


AlbMoRe: A Corpus of Movie Reviews for Sentiment Analysis in Albanian


Albatross: An optimistic consensus algorithm


AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation


Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery


Albumentations: fast and flexible image augmentations


Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents


Alchemy: Amplifying Theorem-Proving Capability through Symbolic Mutation


Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network


AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn


AlertTrap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platform


Alexa Arena: A User-Centric Interactive Platform for Embodied AI


Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants


Alfie: Democratising RGBA Image Generation With No $$$


AlgDiff: An open source toolbox for the design, analysis and discretisation of algebraic differentiators


Algebra Error Classification with Large Language Models


Algebra of Nonlocal Boxes and the Collapse of Communication Complexity


Algebraic Conditions for Stability in Runge-Kutta Methods and Their Certification via Semidefinite Programming


Algebraic Equivalence of Linear Structural Equation Models


Algebraic File Synchronization: Adequacy and Completeness


Algebraic Machine Learning: Learning as computing an algebraic decomposition of a task


Algebraic Proofs of Path Disconnectedness using Time-Dependent Barrier Functions


Algebraic Reconstruction of Piecewise-Smooth Functions of Two Variables from Fourier Data


Algebraic Representations for Faster Predictions in Convolutional Neural Networks


Algebraic Representations for Volumetric Frame Fields


Algebraic Theory of Patterns as Generalized Symmetries


Algebraic Tools for Computing Polynomial Loop Invariants


Algebraic and Combinatorial Stability of Independence Polynomials in Iterated Strong Products of Cycles


Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator


Algebraic and diagrammatic methods for the rule-based modeling of multi-particle complexes


Algebraic and symplectic curves of degree 8


Algebraic framework for determining laminar pattern bifurcations by lateral-inhibition in 2D and 3D bilayer geometries


Algebraic identifiability of partial differential equation models


Algebraic optimization of sequential decision problems


Algebraic proof of modular form inequalities for optimal sphere packings


Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures


Algebras with representable representations


Algorithm 979: Recursive Algorithms for Dense Linear Algebra -- The ReLAPACK Collection


Algorithm Performance Spaces for Strategic Dataset Selection


Algorithm Selection for Deep Active Learning with Imbalanced Datasets


Algorithm Selection in Short-Range Molecular Dynamics Simulations


Algorithm and VLSI Design for 1-bit Data Detection in Massive MIMO-OFDM


Algorithm for differential equations for Feynman integrals in general dimensions


Algorithm for finding local integrals of motion in quantum lattice models in the thermodynamic limit


Algorithm for monochromatic vertex-disconnection of graphs


Algorithm for motivic Hilbert zeta function of some curve singularities


Algorithm for spin symmetry operation search


Algorithm xxx: Faster Randomized SVD with Dynamic Shifts


Algorithm-Agnostic Explainability for Unsupervised Clustering


Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation


Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference


Algorithm-independent bounds on complex optimization through the statistics of marginal optima


Algorithmic Acceleration of Parallel ALS for Collaborative Filtering: Speeding up Distributed Big Data Recommendation in Spark


Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics


Algorithmic Averaging for Studying Periodic Orbits of Planar Differential Systems


Algorithmic Bayesian Group Gibbs Selection


Algorithmic Bias in Machine Learning Based Delirium Prediction


Algorithmic Capabilities of Random Transformers


Algorithmic Causal Effect Identification with causaleffect


Algorithmic Changes Are Not Enough: Evaluating the Removal of Race Adjustment from the eGFR Equation


Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists


Algorithmic Complexity Attacks on Dynamic Learned Indexes


Algorithmic Concept-based Explainable Reasoning


Algorithmic Decision Making with Conditional Fairness


Algorithmic Decision-Making under Agents with Persistent Improvement


Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields


Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously


Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study


Algorithmic Foundations for the Diffraction Limit


Algorithmic Frameworks for the Detection of High Density Anomalies


Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality


Algorithmic Stability and Generalization of an Unsupervised Feature Selection Algorithm


Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults


Algorithmic canonical stratifications of simplicial complexes


Algorithmic counting of nonequivalent compact Huffman codes


Algorithmic decision making and the cost of fairness


Algorithmic improvements for the CIECAM02 and CAM16 color appearance models


Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy


Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations


Algorithms And Programs For Strong Gravitational Lensing In Kerr Space-time Including Polarization


Algorithms Clearly Beat Gamers at Quantum Moves. A Verification


Algorithms and Complexity on Indexing Founder Graphs


Algorithms and Learning for Fair Portfolio Design


Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs


Algorithms for Big Data: Graphs and PageRank


Algorithms for Boolean Matrix Factorization using Integer Programming


Algorithms for Computing the Free Distance of Convolutional Codes


Algorithms for Euclidean-regularised Optimal Transport


Algorithms for Fairness in Sequential Decision Making


Algorithms for Fitting the Constrained Lasso


Algorithms for Graph-Constrained Coalition Formation in the Real World


Algorithms for Learning Graphs in Financial Markets


Algorithms for Lipschitz Learning on Graphs


Algorithms for Non-Negative Matrix Factorization on Noisy Data With Negative Values


Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence


Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations


Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning


Algorithms for Tensor Network Contraction Ordering


Algorithms for Verifying Deep Neural Networks


Algorithms for Weighted Pushdown Automata


Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization


Algorithms for magnetic symmetry operation search and identification of magnetic space group from magnetic crystal structure


Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space


Algorithms for robust production scheduling with energy consumption limits


Algorithms for the Construction of Incoherent Frames Under Various Design Constraints


Algorithms for the Euclidean Bipartite Edge Cover Problem


Algorithms for the Maximum Eulerian Cycle Decomposition Problem


Algorithms for the uniqueness of the longest common subsequence


Algorithms to compute the Burrows-Wheeler Similarity Distribution


Algorithms to generate saturated random sequential adsorption packings built of rounded polygons


AliFuse: Aligning and Fusing Multi-modal Medical Data for Computer-Aided Diagnosis


AliTok: Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model


Alias-Free Latent Diffusion Models:Improving Fractional Shift Equivariance of Diffusion Latent Space


Alias4SBML: A Python Package for Generating Alias Nodes in SBML Models


Alice and the Caterpillar: A more descriptive null model for assessing data mining results


Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models


Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization


Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback


Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation


Align Deep Features for Oriented Object Detection


Align and Attend: Multimodal Summarization with Dual Contrastive Losses


Align and Distill: Unifying and Improving Domain Adaptive Object Detection


Align and Prompt: Video-and-Language Pre-training with Entity Prompts


Align and Surpass Human Camouflaged Perception: Visual Refocus Reinforcement Fine-Tuning


Align before Search: Aligning Ads Image to Text for Accurate Cross-Modal Sponsored Search


Align on the Fly: Adapting Chatbot Behavior to Established Norms


Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences


Align$^2$LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation


Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection


Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge


Align, then memorise: the dynamics of learning with feedback alignment


Align-DETR: Enhancing End-to-end Object Detection with Aligned Loss


Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution


Align-gram : Rethinking the Skip-gram Model for Protein Sequence Analysis


Align-then-Unlearn: Embedding Alignment for LLM Unlearning


Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation


AlignDet: Aligning Pre-training and Fine-tuning in Object Detection


AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation


AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization


AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis


AlignMixup: Improving Representations By Interpolating Aligned Features


AlignOT: An optimal transport based algorithm for fast 3D alignment with applications to cryogenic electron microscopy density maps


AlignRAG: Leveraging Critique Learning for Evidence-Sensitive Retrieval-Augmented Reasoning


AlignRec: Aligning and Training in Multimodal Recommendations


AlignScore: Evaluating Factual Consistency with a Unified Alignment Function


AlignSeg: Feature-Aligned Segmentation Networks


AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference


AlignVSR: Audio-Visual Cross-Modal Alignment for Visual Speech Recognition


Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks


Aligned Music Notation and Lyrics Transcription


Aligned and oblique dynamics in recurrent neural networks


Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race


AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations


AlignedKV: Reducing Memory Access of KV-Cache with Precision-Aligned Quantization


Aligning (Medical) LLMs for (Counterfactual) Fairness


Aligning Actions and Walking to LLM-Generated Textual Descriptions


Aligning Bag of Regions for Open-Vocabulary Object Detection


Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene Flow


Aligning Brain Activity with Advanced Transformer Models: Exploring the Role of Punctuation in Semantic Processing


Aligning Cross-Lingual Entities with Multi-Aspect Information


Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI


Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control


Aligning Diffusion Models by Optimizing Human Utility


Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information


Aligning Explanations with Human Communication


Aligning First, Then Fusing: A Novel Weakly Supervised Multimodal Violence Detection Method


Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning


Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception


Aligning Human Intent from Imperfect Demonstrations with Confidence-based Inverse soft-Q Learning


Aligning Hyperbolic Representations: an Optimal Transport-based approach


Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching


Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors


Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis


Aligning Knowledge Graph with Visual Perception for Object-goal Navigation


Aligning Knowledge Graphs Provided by Humans and Generated from Neural Networks in Specific Tasks


Aligning LLM Agents by Learning Latent Preference from User Edits


Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning


Aligning LLMs with Domain Invariant Reward Models


Aligning LLMs with Individual Preferences via Interaction


Aligning Language Models Using Follow-up Likelihood as Reward Signal


Aligning Language Models to Explicitly Handle Ambiguity


Aligning Language Models with Demonstrated Feedback


Aligning Language Models with Human Preferences via a Bayesian Approach


Aligning Large Language Models and Geometric Deep Models for Protein Representation


Aligning Large Language Models by On-Policy Self-Judgment


Aligning Large Language Models for Clinical Tasks


Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and Summarization


Aligning Large Language Models for Faithful Integrity Against Opposing Argument


Aligning Large Language Models from Self-Reference AI Feedback with one General Principle


Aligning Large Language Models through Synthetic Feedback


Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering


Aligning Large Language Models via Self-Steering Optimization


Aligning Large Language Models with Diverse Political Viewpoints


Aligning Large Language Models with Human Opinions through Persona Selection and Value--Belief--Norm Reasoning


Aligning Large Language Models with Human Preferences through Representation Engineering


Aligning Large Language Models with Human: A Survey


Aligning Large Language Models with Representation Editing: A Control Perspective


Aligning Linguistic Words and Visual Semantic Units for Image Captioning


Aligning Logits Generatively for Principled Black-Box Knowledge Distillation


Aligning Medical Images with General Knowledge from Large Language Models


Aligning Modalities in Vision Large Language Models via Preference Fine-tuning


Aligning Motion-Blurred Images Using Contrastive Learning on Overcomplete Pixels


Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task


Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models


Aligning Object Detector Bounding Boxes with Human Preference


Aligning Pretraining for Detection via Object-Level Contrastive Learning


Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization


Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search


Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition


Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment


Aligning Step-by-Step Instructional Diagrams to Video Demonstrations


Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization


Aligning Text to Image in Diffusion Models is Easier Than You Think


Aligning Text-to-Image Diffusion Models with Reward Backpropagation


Aligning Text-to-Music Evaluation with Human Preferences


Aligning Time Series on Incomparable Spaces


Aligning Translation-Specific Understanding to General Understanding in Large Language Models


Aligning Visual Contrastive learning models via Preference Optimization


Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations


Aligning Visual and Semantic Interpretability through Visually Grounded Concept Bottleneck Models


Aligning an optical interferometer with beam divergence control and continuous action space


Aligning and Prompting Everything All at Once for Universal Visual Perception


Aligning coding sequences with frameshift extension penalties


Aligning individual brains with Fused Unbalanced Gromov-Wasserstein


Aligning random graphs with a sub-tree similarity message-passing algorithm


Aligning the Norwegian UD Treebank with Entity and Coreference Information


Aligning the Objective of LLM-based Program Repair


Aligning the Western Balkans power sectors with the European Green Deal


Aligning to Thousands of Preferences via System Message Generalization


Aligning to What? Limits to RLHF Based Alignment


Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences


Alignment Analysis of Sequential Segmentation of Lexicons to Improve Automatic Cognate Detection


Alignment Attention by Matching Key and Query Distributions


Alignment Parameters: Quantifying Dense Core Alignment in Star-forming Regions


Alignment Scores: Robust Metrics for Multiview Pose Accuracy Evaluation


Alignment Solution for CT Image Reconstruction by Fixed Point and Virtual Rotation Axis


Alignment Under Pressure: The Case for Informed Adversaries When Evaluating LLM Defenses


Alignment at Pre-training! Towards Native Alignment for Arabic LLMs


Alignment faking in large language models


Alignment of Density Maps in Wasserstein Distance


Alignment of Diffusion Models: Fundamentals, Challenges, and Future


Alignment of the Virtual Scene to the Tracking Space of a Mixed Reality Head-Mounted Display


Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs


Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability Distributions


Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models


Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network


Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmark


Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification


Alignment-based compositional semantics for instruction following


Alignment-based conformance checking over probabilistic events


Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud


Alirector: Alignment-Enhanced Chinese Grammatical Error Corrector


All 2-neighborly d-polytopes with at most d + 9 facets


All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality


All It Takes is 20 Questions!: A Knowledge Graph Based Approach


All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes


All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training


All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages


All Languages Matter: On the Multilingual Safety of Large Language Models


All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey


All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models


All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations


All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation


All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian Splatting


All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees


All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal Transformers


All You May Need for VQA are Image Captions


All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL


All You Need is "Leet": Evading Hate-speech Detection AI


All You Need to Know About Training Image Retrieval Models


All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation


All entangled states can demonstrate non-classical teleportation


All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks


All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining


All in One: Exploring Unified Video-Language Pre-training


All in Tokens: Unifying Output Space of Visual Tasks via Soft Token


All in an Aggregated Image for In-Image Learning


All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference


All is Not Lost: LLM Recovery without Checkpoints


All models are wrong, some are useful: Model Selection with Limited Labels


All states are universal catalysts in quantum thermodynamics


All you need are a few pixels: semantic segmentation with PixelPick


All you need for horizontal slicing in 5G network


All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks


All-Day Object Tracking for Unmanned Aerial Vehicle


All-In-One Medical Image Restoration via Task-Adaptive Routing


All-In-One Metrical And Functional Structure Analysis With Neighborhood Attentions on Demixed Audio


All-atom Diffusion Transformers: Unified generative modelling of molecules and materials


All-fiber microendoscopic polarization sensing at single-photon level aided by deep-learning


All-frequency Full-body Human Image Relighting


All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation


All-in-One Image Compression and Restoration


All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction


All-in-one foundational models learning across quantum chemical levels


All-microwave leakage reduction units for quantum error correction with superconducting transmon qubits


All-order Feynman rules for leading-twist gauge-invariant operators in QCD


All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation


All-to-all reconfigurability with sparse and higher-order Ising machines


All-weather Multi-Modality Image Fusion: Unified Framework and 100k Benchmark


All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction


AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery


AllConcur: Leaderless Concurrent Atomic Broadcast (Extended Version)


AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning


AllSight: A Low-Cost and High-Resolution Round Tactile Sensor with Zero-Shot Learning Capability


AllSpark: A Multimodal Spatio-Temporal General Intelligence Model with Ten Modalities via Language as a Reference Framework


AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation


AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditions


AlleNoise: large-scale text classification benchmark dataset with real-world label noise


Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization


Allegro: Open the Black Box of Commercial-Level Video Generation Model


AllenNLP: A Deep Semantic Natural Language Processing Platform


Allesfitter: Flexible Star and Exoplanet Inference From Photometry and Radial Velocity


Alleviating Adversarial Attacks on Variational Autoencoders with MCMC


Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation


Alleviating Distortion Accumulation in Multi-Hop Semantic Communication


Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization


Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization


Alleviating Feature Confusion for Generative Zero-shot Learning


Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization


Alleviating Hallucinations of Large Language Models through Induced Hallucinations


Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation


Alleviating Label Switching with Optimal Transport


Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation


Alleviating Over-Smoothing via Aggregation over Compact Manifolds


Alleviating Over-segmentation Errors by Detecting Action Boundaries


Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System


Alleviating Representational Shift for Continual Fine-tuning


Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning


Alleviating Structural Distribution Shift in Graph Anomaly Detection


Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation


Alleviating the Effect of Data Imbalance on Adversarial Training


Alleviating the Fear of Losing Alignment in LLM Fine-tuning


Alleviating the Long-Tail Problem in Conversational Recommender Systems


Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid


AlloST: Low-resource Speech Translation without Source Transcription


Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training


Allocating Stimulus Checks in Times of Crisis


Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented?


Allocation of COVID-19 Testing Budget on a Commute Network of Counties


Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method


Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes


Alloprof: a new French question-answer education dataset and its use in an information retrieval case study


Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy


Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing


Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression


Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits


Almost Optimal Variance-Constrained Best Arm Identification


Almost Orthogonal Arrays: Theory and Search Three Ways


Almost Surely Asymptotically Constant Graph Neural Networks


Almost all classical theorems are intuitionistic


Almost exact recovery in noisy semi-supervised learning


Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction


Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks


AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs


AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving


Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs


Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization


Alpha Entropy Search for New Information-based Bayesian Optimization


Alpha shapes and optimal transport on the sphere


AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay


AlphaCrystal: Contact map based crystal structure prediction using deep learning


AlphaDDA: Strategies for Adjusting the Playing Strength of a Fully Trained AlphaZero System to a Suitable Human Training Partner


AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB


AlphaDou: High-Performance End-to-End Doudizhu AI Integrating Bidding


AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning


AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework


AlphaFold Distillation for Protein Design


AlphaFold Meets Flow Matching for Generating Protein Ensembles


AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors


AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings


AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks


AlphaGarden: Learning to Autonomously Tend a Polyculture Garden


AlphaGomoku: An AlphaGo-based Gomoku Artificial Intelligence using Curriculum Learning


AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality


AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations


AlphaNet: Improving Long-Tail Classification By Combining Classifiers


AlphaNet: Scaling Up Local-frame-based Atomistic Interatomic Potential


AlphaPIG: The Nicest Way to Prolong Interactive Gestures in Extended Reality


AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation


AlphaTwirl: A Python library for summarizing event data into multivariate categorical data


AlphaViT: A Flexible Game-Playing AI for Multiple Games and Variable Board Sizes


AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws


AlphaZero-Edu: Making AlphaZero Accessible to Everyone


AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time


AlphaZip: Neural Network-Enhanced Lossless Text Compression


Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training


AltDiffusion: A Multilingual Text-to-Image Diffusion Model


AltFreezing for More General Video Face Forgery Detection


AltGeoViz: Facilitating Accessible Geovisualization


Altered Topological Properties of Functional Brain Network Associated with Alzheimer's Disease