Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-aware Learning


Accurate Simulation of the Hubbard Model with Finite Fermionic Projected Entangled Pair States


Accurate Solution of the Nonlinear Schrödinger Equation via Conservative Multiple-Relaxation ImEx Methods


Accurate Spatial Gene Expression Prediction by integrating Multi-resolution features


Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs


Accurate Tracking of Arabidopsis Root Cortex Cell Nuclei in 3D Time-Lapse Microscopy Images Based on Genetic Algorithm


Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory


Accurate Unsupervised Photon Counting from Transition Edge Sensor Signals


Accurate Visual Localization for Automotive Applications


Accurate Word Alignment Induction from Neural Machine Translation


Accurate X-ray Timing in the Presence of Systematic Biases With Simulation-Based Inference


Accurate absolute photometric calibration by fitting the system transmission


Accurate and Efficient Estimation of Small P-values with the Cross-Entropy Method: Applications in Genomic Data Analysis


Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance


Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks


Accurate and Efficient Structural Ensemble Generation of Macrocyclic Peptides using Internal Coordinate Diffusion


Accurate and Efficient Waveform Model for Precessing Binary Black Holes


Accurate and Extensible Symbolic Execution of Binary Code based on Formal ISA Semantics


Accurate and Fast Compressed Video Captioning


Accurate and Fast Estimation of Temporal Motifs using Path Sampling


Accurate and Interactive Visual-Inertial Sensor Calibration with Next-Best-View and Next-Best-Trajectory Suggestion


Accurate and Nuanced Open-QA Evaluation Through Textual Entailment


Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network


Accurate and Regret-aware Numerical Problem Solver for Tabular Question Answering


Accurate and Robust Alignment of Variable-stained Histologic Images Using a General-purpose Greedy Diffeomorphic Registration Tool


Accurate and Robust Stellar Rotation Periods catalog for 82771 Kepler stars using deep learning


Accurate and Scalable Graph Neural Networks via Message Invariance


Accurate and Scalable Version Identification Using Musically-Motivated Embeddings


Accurate and Well-Calibrated ICD Code Assignment Through Attention Over Diverse Label Embeddings


Accurate and consistent calculation of the mean and variance in Monte-Carlo simulations


Accurate and efficient likelihood modeling for large-scale CMB data


Accurate and efficient numerical calculation of stable densities via optimized quadrature and asymptotics


Accurate and efficient protein embedding using multi-teacher distillation learning


Accurate and efficient protocols for high-throughput first-principles materials simulations


Accurate and efficient structure elucidation from routine one-dimensional NMR spectra using multitask machine learning


Accurate and efficient structure factors in ultrasoft pseudopotential and projector augmented wave DFT


Accurate and efficient surface reconstruction from volume fraction data on general meshes


Accurate and efficient video de-fencing using convolutional neural networks and temporal information


Accurate and fast matrix factorization for low-rank learning


Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning


Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks


Accurate and robust methods for direct background estimation in resonant anomaly detection


Accurate autocorrelation modeling substantially improves fMRI reliability


Accurate boundary-integral formulations for the calculation of electrostatic forces with an implicit-solvent model


Accurate calibration of multi-perspective cameras from a generalization of the hand-eye constraint


Accurate computation of conditional expectation for highly non-linear problems


Accurate confidence interval estimation for non-centrality parameters and effect size indices


Accurate energy bands calculated by the hybrid quasiparticle self-consistent GW method implemented in the ecalj package


Accurate estimation of the normalized mutual information of multidimensional data


Accurate identification of bacteriophages from metagenomic data using Transformer


Accurate machine learning force fields via experimental and simulation data fusion


Accurate mass and velocity functions of dark matter halos


Accurate neural-network-based fitting of full-dimensional two-body potential energy surfaces


Accurate nuclear quantum statistics on machine-learned classical effective potentials


Accurate polarization preparation and measurement using twisted nematic liquid crystals


Accurate quadrature of nearly singular line integrals in two and three dimensions by singularity swapping


Accurate quantification of lattice temperature dynamics from ultrafast electron diffraction of single-crystal films using dynamical scattering simulations


Accurate stochastic simulation algorithm for multiscale models of infectious diseases


Accurate, Fast and Lightweight Clustering of de novo Transcriptomes using Fragment Equivalence Classes


Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions


Accurate, Precise, and Physically Self-consistent Ages and Metallicities for 400,000 Solar Neighborhood Subgiant Branch Stars


Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approach


Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities


Accurately summarizing an outbreak using epidemiological models takes time


Accurator: Nichesourcing for Cultural Heritage


Ace-TN: GPU-Accelerated Corner-Transfer-Matrix Renormalization of Infinite Projected Entangled-Pair States


AceGPT, Localizing Large Language Models in Arabic


AceParse: A Comprehensive Dataset with Diverse Structured Texts for Academic Literature Parsing


AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation


Achievable Fairness on Your Data With Utility Guarantees


Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface


Achievable Rate Optimization for MIMO Systems with Reconfigurable Intelligent Surfaces


Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation


Achieve Fairness without Demographics for Dermatological Disease Diagnosis


Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems


Achieving Better Kinship Recognition Through Better Baseline


Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation


Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection


Achieving Counterfactual Fairness for Anomaly Detection


Achieving Counterfactual Fairness with Imperfect Structural Causal Model


Achieving Determinism in Adaptive AUTOSAR


Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization


Achieving Distributive Justice in Federated Learning via Uncertainty Quantification


Achieving Domain-Independent Certified Robustness via Knowledge Continuity


Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis


Achieving Fairness at No Utility Cost via Data Reweighing with Influence


Achieving Fairness in DareFightingICE Agents Evaluation Through a Delay Mechanism


Achieving Group Fairness through Independence in Predictive Process Monitoring


Achieving High Accuracy with PINNs via Energy Natural Gradients


Achieving High Throughput and Elasticity in a Larger-than-Memory Store


Achieving Linear Convergence in Distributed Asynchronous Multi-agent Optimization


Achieving Long-Term Fairness in Sequential Decision Making


Achieving Model Fairness in Vertical Federated Learning


Achieving Model Robustness through Discrete Adversarial Training


Achieving Occam's Razor: Deep Learning for Optimal Model Reduction


Achieving Optimal Locomotion using Self-Generated Waves


Achieving Reliable Human Assessment of Open-Domain Dialogue Systems


Achieving Robust Generalization for Wireless Channel Estimation Neural Networks by Designed Training Data


Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM


Achieving Sparse Activation in Small Language Models


Achieving Tokenizer Flexibility in Language Models through Heuristic Adaptation and Supertoken Learning


Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models


Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning


Achieving both High Energy Efficiency and High Performance in On-Chip Communication using Hierarchical Rings with Deflection Routing


Achieving metrological limits using ancilla-free quantum error-correcting codes


Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies


Achieving the Heisenberg limit with Dicke states in noisy quantum metrology


Achieving the time of $1$-NN, but the accuracy of $k$-NN


Achieving the ultimate end-to-end rates of lossy quantum communication networks


AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild


Acoustic Classification of Maritime Vessels using Learnable Filterbanks


Acoustic Field Reconstruction in Tubes via Physics-Informed Neural Networks


Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks


Acoustic Integrity Codes: Secure Device Pairing Using Short-Range Acoustic Communication


Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots


Acoustic Model Adaptation from Raw Waveforms with SincNet


Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities


Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events


Acoustic absement in detail: Quantifying acoustic differences across time-series representations of speech data


Acoustic detection potential of single minimum ionizing particles in viscous liquids


Acoustic echo cancellation with the dual-signal transformation LSTM network


Acoustic modeling for Overlapping Speech Recognition: JHU Chime-5 Challenge System


Acoustic scene classification using auditory datasets


Acoustic span embeddings for multilingual query-by-example search


Acoustics-specific Piano Velocity Estimation


AcoustoBots: A swarm of robots for acoustophoretic multimodal interactions


Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements


Acquiring Bidirectionality via Large and Small Language Models


Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space


Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates


Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation


Acquiring Submillimeter-Accurate Multi-Task Vision Datasets for Computer-Assisted Orthopedic Surgery


Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data


Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization


Acquiring the Lefschetz thimbles: efficient evaluation of the diffraction integral for lensing in wave optics


Acquisition of Localization Confidence for Accurate Object Detection


AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection


AcroMonk: A Minimalist Underactuated Brachiating Robot


Acronym Disambiguation: A Domain Independent Approach


Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning


Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding


Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data


Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes


Act, Perceive, and Plan in Belief Space for Robot Localization


Act-Aware Slot-Value Predicting in Multi-Domain Dialogue State Tracking


Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring


Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation


ActBERT: Learning Global-Local Video-Text Representations


ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos


ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models


Action Advising with Advice Imitation in Deep Reinforcement Learning


Action Anticipation with Goal Consistency


Action Completion: A Temporal Model for Moment Detection


Action Conditioned Tactile Prediction: case study on slip prediction


Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos


Action Flow Matching for Continual Robot Learning


Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games


Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models


Action Matching: Learning Stochastic Dynamics from Samples


Action Modifiers: Learning from Adverbs in Instructional Videos


Action Priors for Large Action Spaces in Robotics


Action Quality Assessment via Hierarchical Pose-guided Multi-stage Contrastive Regression


Action Recognition Using Temporal Shift Module and Ensemble Learning


Action Recognition Using Volumetric Motion Representations


Action Recognition based on Cross-Situational Action-object Statistics


Action Recognition for Depth Video using Multi-view Dynamic Images


Action Recognition from Single Timestamp Supervision in Untrimmed Videos


Action Recognition in Real-World Ambient Assisted Living Environment


Action Scene Graphs for Long-Form Understanding of Egocentric Videos


Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization


Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation


Action Selection Learning for Multi-label Multi-view Action Recognition


Action Semantics Network: Considering the Effects of Actions in Multiagent Systems


Action Sequence Augmentation for Early Graph-based Anomaly Detection


Action Space Shaping in Deep Reinforcement Learning


Action sequencing using visual permutations


Action-Agnostic Point-Level Supervision for Temporal Action Detection


Action-Angle Variables for Axisymmetric Potentials via Birkhoff Normalization


Action-Attentive Deep Reinforcement Learning for Autonomous Alignment of Beamlines


Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems


Action-Based Representation Learning for Autonomous Driving


Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning


Action-Item-Driven Summarization of Long Meeting Transcripts


Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional


Action-angle coordinates for black-hole geodesics I: Spherically symmetric and Schwarzschild


Action-based Early Autism Diagnosis Using Contrastive Feature Learning


Action-conditioned On-demand Motion Generation


Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes


Action2Motion: Conditioned Generation of 3D Human Motions


ActionCLIP: A New Paradigm for Video Action Recognition


ActionCOMET: A Zero-shot Approach to Learn Image-specific Commonsense Concepts about Actions


ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos


Actionable Entities Recognition Benchmark for Interactive Fiction


Actionable Neural Representations: Grid Cells from Minimal Constraints


Actionable Recourse in Linear Classification


Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition


Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment


Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience


Actions are weak stellar age indicators in the Milky Way disk


Actions, angles and frequencies for numerically integrated orbits


Actis: A Strictly Local Union-Find Decoder


Activated LoRA: Fine-tuned LLMs for Intrinsics


Activating Frequency and ViT for 3D Point Cloud Quality Assessment without Reference


Activating Self-Attention for Multi-Scene Absolute Pose Regression


Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization


Activation Function Optimization Scheme for Image Classification


Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark


Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance


Activation Map Compression through Tensor Decomposition for Deep Learning


Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation


Activation Patching for Interpretable Steering in Music Generation


Activation Regression for Continuous Domain Generalization with Applications to Crop Classification


Activation Space Interventions Can Be Transferred Between Large Language Models


Activation function design for deep networks: linearity and effective initialisation


Activation functions are not needed: the ratio net


Activation functions enabling the addition of neurons and layers without altering outcomes


Activation to Saliency: Forming High-Quality Labels for Completely Unsupervised Salient Object Detection


Activation-Informed Merging of Large Language Models


Activations and Gradients Compression for Model-Parallel Training


Activator: GLU Activation Function as the Core Component of a Vision Transformer


Active Advantage-Aligned Online Reinforcement Learning with Offline Data


Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications


Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations


Active Bayesian Assessment for Black-Box Classifiers


Active Boundary Loss for Semantic Segmentation


Active Class Selection for Few-Shot Class-Incremental Learning


Active Collaborative Sensing for Energy Breakdown


Active Contact Forces Drive Non-Equilibrium Fluctuations in Membrane Vesicles


Active Contrastive Learning of Audio-Visual Video Representations


Active Data Acquisition in Autonomous Driving Simulation


Active Decision Boundary Annotation with Deep Generative Models


Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings


Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding


Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons


Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space


Active Exploitation of Redundancies in Reconfigurable Multi-Robot Systems


Active Exploration for Inverse Reinforcement Learning


Active Extrinsic Contact Sensing: Application to General Peg-in-Hole Insertion


Active Feature Selection for the Mutual Information Criterion


Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm


Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Study


Active Flow Control for Bluff Body Drag Reduction Using Reinforcement Learning with Partial Measurements


Active Fuzzing for Testing and Securing Cyber-Physical Systems


Active Generation for Image Classification


Active Hierarchical Exploration with Stable Subgoal Representation Learning


Active Imitation Learning with Noisy Guidance


Active Implicit Object Reconstruction using Uncertainty-guided Next-Best-View Optimization


Active Implicit Reconstruction Using One-Shot View Planning


Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and Generalization


Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines


Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics


Active Inference for Integrated State-Estimation, Control, and Learning


Active Inference for Self-Organizing Multi-LLM Systems: A Bayesian Thermodynamic Approach to Adaptation


Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks


Active Keyword Selection to Track Evolving Topics on Twitter


Active Label Correction for Semantic Segmentation with Foundation Models


Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise


Active Labeling: Streaming Stochastic Gradients


Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators


Active Learning Framework for Cost-Effective TCR-Epitope Binding Affinity Prediction


Active Learning Helps Pretrained Models Learn the Intended Task


Active Learning Strategies for Weakly-supervised Object Detection


Active Learning amidst Logical Knowledge


Active Learning for Abstractive Text Summarization


Active Learning for Argument Strength Estimation


Active Learning for Bayesian 3D Hand Pose Estimation


Active Learning for Classifying 2D Grid-Based Level Completability


Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations


Active Learning for Coreference Resolution using Discrete Annotation


Active Learning for Deep Detection Neural Networks


Active Learning for Deep Object Detection via Probabilistic Modeling


Active Learning for Discovering Complex Phase Diagrams with Gaussian Processes


Active Learning for Domain Adaptation: An Energy-Based Approach


Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images


Active Learning for Manifold Gaussian Process Regression


Active Learning for Neural Machine Translation


Active Learning for Optimal Intervention Design in Causal Models


Active Learning for Regression Using Greedy Sampling


Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle


Active Learning in CNNs via Expected Improvement Maximization


Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression


Active Learning of Computer Experiment with both Quantitative and Qualitative Inputs


Active Learning of Discriminative Subgraph Patterns for API Misuse Detection


Active Learning of Molecular Data for Task-Specific Objectives


Active Learning of Non-semantic Speech Tasks with Pretrained Models


Active Learning of One-Clock Timed Automata using Constraint Solving


Active Learning of Points-To Specifications


Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation


Active Learning to Guide Labeling Efforts for Question Difficulty Estimation


Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval


Active Learning with Gaussian Processes for High Throughput Phenotyping


Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters


Active Listener: Continuous Generation of Listener's Head Motion Response in Dyadic Interactions


Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation


Active MR k-space Sampling with Reinforcement Learning


Active Manifolds: A non-linear analogue to Active Subspaces


Active Matter under Cyclic Stretch: Modeling Microtubule Alignment and Bundling


Active Membership Inference Attack under Local Differential Privacy in Federated Learning


Active Object Detection with Knowledge Aggregation and Distillation from Large Models


Active Ordinal Querying for Tuplewise Similarity Learning


Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps


Active Perception using Neural Radiance Fields


Active Perception with A Monocular Camera for Multiscopic Vision


Active Pointly-Supervised Instance Segmentation


Active Policy Improvement from Multiple Black-box Oracles


Active Preference Learning for Ordering Items In- and Out-of-sample


Active Preference Optimization for Sample Efficient RLHF


Active Preference-Based Gaussian Process Regression for Reward Learning


Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization


Active Prompt Learning in Vision Language Models


Active RIS Aided ISAC Systems: Beamforming Design and Performance Analysis


Active Reinforcement Learning for Robust Building Control


Active Robotic Mapping through Deep Reinforcement Learning


Active Sampling for MRI-based Sequential Decision Making


Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization


Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments


Active Selection of Classification Features


Active Semantic Mapping and Pose Graph Spectral Analysis for Robot Exploration


Active Semantic Mapping with Mobile Manipulator in Horticultural Environments


Active Sensing for Communications by Learning


Active Sensing for Reciprocal MIMO Channels


Active Sensing for Two-Sided Beam Alignment and Reflection Design Using Ping-Pong Pilots


Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference


Active Structure Learning of Bayesian Networks in an Observational Setting


Active Subspace of Neural Networks: Structural Analysis and Universal Attacks


Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation


Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching


Active TLS Stack Fingerprinting: Characterizing TLS Server Deployments at Scale


Active Teacher for Semi-Supervised Object Detection


Active Terahertz Imaging Dataset for Concealed Object Detection


Active Test-Time Adaptation: Theoretical Analyses and An Algorithm


Active Testing: Sample-Efficient Model Evaluation


Active Transfer Learning for Efficient Video-Specific Human Pose Estimation


Active Use of Latent Constituency Representation in both Humans and Large Language Models


Active View Planning for Visual SLAM in Outdoor Environments Based on Continuous Information Modeling


Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation


Active Visual Exploration Based on Attention-Map Entropy


Active Visual Information Gathering for Vision-Language Navigation


Active Visuo-Haptic Object Shape Completion


Active WeaSuL: Improving Weak Supervision with Active Learning


Active and Passive Collection of SSH key material for cyber threat intelligence


Active exploration in parameterized reinforcement learning


Active exterior cloaking for the 2D Helmholtz equation with complex wavenumbers and application to thermal cloaking


Active flow control of a turbulent separation bubble through deep reinforcement learning


Active galactic nuclei catalog from the AKARI NEP Wide field


Active inference: demystified and compared


Active learning for anti-disturbance dual control of unknown nonlinear systems


Active learning for efficient discovery of optimal gene combinations in the combinatorial perturbation space


Active learning for medical image segmentation with stochastic batches


Active learning for parameter-free multiscale modeling of boundary lubrication


Active learning for reducing labeling effort in text classification tasks


Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning


Active learning of reactive Bayesian force fields: Application to heterogeneous hydrogen-platinum catalysis dynamics


Active learning with MaskAL reduces annotation effort for training Mask R-CNN


Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients


Active morphogenesis of patterned epithelial shells


Active multi-fidelity Bayesian online changepoint detection


Active nematic fluids on Riemannian 2-manifolds


Active oversight and quality control in standard Bayesian optimization for autonomous experiments


Active propulsion noise shaping for multi-rotor aircraft localization


Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples


Active$^2$ Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation


Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts


Active, anytime-valid risk controlling prediction sets


Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs


Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees


ActiveAED: A Human in the Loop Improves Annotation Error Detection


ActiveEA: Active Learning for Neural Entity Alignment


ActiveGS: Active Scene Reconstruction Using Gaussian Splatting


ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture


ActiveNeRF: Learning Accurate 3D Geometry by Active Pattern Projection


ActiveNeRF: Learning where to See with Uncertainty Estimation


ActiveNet: A computer-vision based approach to determine lethargy


ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented Agents


ActiveSplat: High-Fidelity Scene Reconstruction through Active Gaussian Splatting


Actively Discovering New Slots for Task-oriented Conversation


Actively Learning Costly Reward Functions for Reinforcement Learning


Actively Learning Gaussian Process Dynamics


Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach


Activity Cliff Prediction: Dataset and Benchmark


Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach


Activity Detection in Distributed MIMO: Distributed AMP via Likelihood Ratio Fusion


Activity Grammars for Temporal Action Segmentation


Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor Data


Activity and telluric contamination in HARPS observations of Alpha Centauri B


Activity pulses induce spontaneous flow reversals in viscoelastic environments


Activity-Biometrics: Person Identification from Daily Activities


Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network


Activity-based contact network scaling and epidemic propagation in metropolitan areas


ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering


Actor and Observer: Joint Modeling of First and Third-Person Videos


Actor-Attention-Critic for Multi-Agent Reinforcement Learning


Actor-Critic Method for High Dimensional Static Hamilton--Jacobi--Bellman Partial Differential Equations based on Neural Networks


Actor-Critic Reinforcement Learning for Control with Stability Guarantee


Actor-Critic or Critic-Actor? A Tale of Two Time Scales


Actor-agnostic Multi-label Action Recognition with Multi-modal Query


Actor-critic versus direct policy search: a comparison based on sample complexity


Actor-identified Spatiotemporal Action Detection --- Detecting Who Is Doing What in Videos


Actually Sparse Variational Gaussian Processes


Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness


AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking


Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks


Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks


Ad-hoc Pulse Shape Simulation using Cyclic Positional U-Net


Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking


AdANNS: A Framework for Adaptive Semantic Search


AdCare-VLM: Leveraging Large Vision Language Model (LVLM) to Monitor Long-Term Medication Adherence and Care


AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries


AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization


AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery


AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation


AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+


AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts


AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness


AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising


AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation


Ada-Instruct: Adapting Instruction Generators for Complex Reasoning


Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks


Ada-LISTA: Learned Solvers Adaptive to Varying Models


Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting


Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation


Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations


Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior


AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation


AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution


AdaBoost and robust one-bit compressed sensing


AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge


AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis


AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification


AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection


AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment


AdaCS: Adaptive Normalization for Enhanced Code-Switching ASR


AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration


AdaCat: Adaptive Categorical Discretization for Autoregressive Models


AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation


AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation


AdaCompress: Adaptive Compression for Online Computer Vision Services


AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices


AdaContour: Adaptive Contour Descriptor with Hierarchical Representation


AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting


AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting


AdaDM: Enabling Normalization for Image Super-Resolution


AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism


AdaDistill: Adaptive Knowledge Distillation for Deep Face Recognition


AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolation


AdaFair: Cumulative Fairness Adaptive Boosting


AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds


AdaFocal: Calibration-aware Adaptive Focal Loss


AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition


AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation


AdaFuse: Adaptive Medical Image Fusion Based on Spatial-Frequential Cross Attention


AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models


AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation


AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter


AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale


AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression


AdaGrad stepsizes: Sharp convergence over nonconvex landscapes


AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy


AdaGrid: Adaptive Grid Search for Link Prediction Training Objective


AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation


AdaInject: Injection Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks


AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement


AdaLead: A simple and robust adaptive greedy search algorithm for sequence design


AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension


AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning


AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer


AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders


AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation


AdaMHF: Adaptive Multimodal Hierarchical Fusion for Survival Prediction


AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization


AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning


AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging


AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models


AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts


AdaMotif: Graph Simplification via Adaptive Motif Design


AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation


AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators


AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields


AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs


AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMs


AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch


AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting


AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine


AdaPlanner: Adaptive Planning from Feedback with Language Models


AdaPlus: Integrating Nesterov Momentum and Precise Stepsize Adjustment on AdamW Basis


AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling


AdaProj: Adaptively Scaled Angular Margin Subspace Projections for Anomalous Sound Detection with Auxiliary Classification Tasks


AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning


AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning


AdaRank: Disagreement Based Module Rank Prediction for Low-rank Adaptation


AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding


AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback


AdaResNet: Enhancing Residual Networks with Dynamic Weight Adjustment for Improved Feature Integration


AdaSCALE: Adaptive Scaling for OOD Detection


AdaSVD: Adaptive Singular Value Decomposition for Large Language Models


AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification


AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting


AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference


AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making


AdaSplash: Adaptive Sparse Flash Attention


AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents


AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces


AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations


AdaTerm: Adaptive T-Distribution Estimated Robust Moments for Noise-Robust Stochastic Gradient Optimization


AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image


AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain Adaptation


AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching


AdaTyper: Adaptive Semantic Column Type Detection


AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling


AdaVLN: Towards Visual Language Navigation in Continuous Indoor Environments with Moving Humans


AdaVis: Adaptive and Explainable Visualization Recommendation for Tabular Data


AdaWorld: Learning Adaptable World Models with Latent Actions


AdaX: Adaptive Gradient Descent with Exponential Long Term Memory


AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning


Adai: Separating the Effects of Adaptive Learning Rate and Momentum Inertia


Adam Exploits $\ell_\infty$-geometry of Loss Landscape via Coordinate-wise Adaptivity


Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models


AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation


AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training


AdamZ: An Enhanced Optimisation Method for Neural Network Training


Adap-$τ$: Adaptively Modulating Embedding Magnitude for Recommendation


AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing


AdapLeR: Speeding up Inference by Adaptive Length Reduction


AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference


Adapt & Align: Continual Learning with Generative Models Latent Space Alignment


Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation


Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation


Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning


Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models


AdaptAI: A Personalized Solution to Sense Your Stress, Fix Your Mess, and Boost Productivity


AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement


AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets


AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection


AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation


AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners


AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization


AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition


AdaptGuard: Defending Against Universal Attacks for Model Adaptation


AdaptKeyBERT: An Attention-Based approach towards Few-Shot & Zero-Shot Domain Adaptation of KeyBERT


AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation


AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty Minimization


AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking


AdaptSky: A DRL Based Resource Allocation Framework in NOMA-UAV Networks


AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization


AdaptThink: Reasoning Models Can Learn When to Think


AdaptVision: Dynamic Input Scaling in MLLMs for Versatile Scene Understanding


Adaptable Agent Populations via a Generative Model of Policies


Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration


Adaptable Logical Control for Large Language Models


Adaptation Procedure in Misinformation Games


Adaptation Strategies for Automated Machine Learning on Evolving Data


Adaptation for Validation of a Consolidated Control Barrier Function based Control Synthesis


Adaptation of Biomedical and Clinical Pretrained Models to French Long Documents: A Comparative Study


Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation


Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging


Adaptation of Whisper models to child speech recognition


Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines


Adaptation of olfactory receptor abundances for efficient coding


Adaptation of uncertainty-penalized Bayesian information criterion for parametric partial differential equation discovery


Adaptation through prediction: multisensory active inference torque control


Adaptation to DNA damage, an asymptotic approach for a cooperative non-local system


Adaptation to criticality through organizational invariance in embodied agents


Adaptations of AI models for querying the LandMatrix database in natural language


Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data


Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization


Adapted Topologies and Higher Rank Signatures


Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers


Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases


Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning


AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks


AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs


AdapterShadow: Adapting Segment Anything Model for Shadow Detection


Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?


Adapters for Enhanced Modeling of Multilingual Knowledge and Text


AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation


AdaptiX -- A Transitional XR Framework for Development and Evaluation of Shared Control Applications in Assistive Robotics


Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences


Adapting Behaviors via Reactive Synthesis


Adapting CLIP For Phrase Localization Without Further Training


Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text


Adapting Differential Molecular Representation with Hierarchical Prompts for Multi-label Property Prediction


Adapting Document-Grounded Dialog Systems to Spoken Conversations using Data Augmentation and a Noisy Channel Model


Adapting End-to-End Speech Recognition for Readable Subtitles


Adapting Fake News Detection to the Era of Large Language Models


Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration Strategy


Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data


Adapting Installation Instructions in Rapidly Evolving Software Ecosystems


Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning


Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair


Adapting Knowledge for Few-shot Table-to-Text Generation


Adapting LLaMA Decoder to Vision Transformer


Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections


Adapting Language Models to Compress Contexts


Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation


Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning


Adapting Learned Sparse Retrieval for Long Documents


Adapting Lightweight Vision Language Models for Radiological Visual Question Answering


Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience


Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications


Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations


Adapting Monolingual Models: Data can be Scarce when Language Similarity is High


Adapting Multi-objectivized Software Configuration Tuning


Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters


Adapting Newton's Method to Neural Networks through a Summary of Higher-Order Derivatives


Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference


Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics


Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation


Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning


Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting


Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation


Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning


Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record


Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range Displays


Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control


Adapting PromptORE for Modern History: Information Extraction from Hispanic Monarchy Documents of the XVIth Century


Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration


Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs


Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive Manufacturing


Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images


Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation


Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance


Adapting Sequence Models for Sentence Correction


Adapting Sequence to Sequence models for Text Normalization in Social Media


Adapting Short-Term Transformers for Action Detection in Untrimmed Videos


Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation


Adapting Video Diffusion Models for Time-Lapse Microscopy


Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images


Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis


Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning


Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms


Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images


Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations


Adapting Zeroth Order Algorithms for Comparison-Based Optimization


Adapting a ConvNeXt model to audio classification on AudioSet


Adapting a Kidney Exchange Algorithm to Align with Human Values


Adapting a Language Model While Preserving its General Knowledge


Adapting a Language Model for Controlled Affective Text Generation


Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees


Adapting pretrained speech model for Mandarin lyrics transcription and alignment


Adapting reservoir computing to solve the Schrödinger equation


Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts


Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization


Adapting the PyCBC pipeline to find and infer the properties of gravitational waves from massive black hole binaries in LISA


Adapting the Tesseract Open-Source OCR Engine for Tamil and Sinhala Legacy Fonts and Creating a Parallel Corpus for Tamil-Sinhala-English


Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes


Adapting to Distribution Shift by Visual Domain Prompt Generation


Adapting to Evolving Adversaries with Regularized Continual Robust Training


Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs


Adapting to Reward Progressivity via Spectral Reinforcement Learning


Adapting to game trees in zero-sum imperfect information games


Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks


Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds


Adaptive $k$-nearest neighbor classifier based on the local estimation of the shape operator


Adaptive 3D descattering with a dynamic synthesis network


Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments


Adaptive Activation Functions for Predictive Modeling with Sparse Experimental Data


Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning


Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning


Adaptive Address Family Selection for Latency-Sensitive Applications on Dual-stack Hosts


Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning


Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware Minimization


Adaptive Anchor Label Propagation for Transductive Few-Shot Learning


Adaptive Anomaly Detection in Chaotic Time Series with a Spatially Aware Echo State Network


Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrolling


Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search


Adaptive Approach For Sparse Representations Using The Locally Competitive Algorithm For Audio


Adaptive Aspect Ratios with Patch-Mixup-ViT-based Vehicle ReID


Adaptive Assignment for Geometry Aware Local Feature Matching


Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents


Adaptive Attentional Network for Few-Shot Knowledge Graph Completion


Adaptive Attribute and Structure Subspace Clustering Network


Adaptive BPE Tokenization for Enhanced Vocabulary Adaptation in Finetuning Pretrained Language Models


Adaptive Basis Function Selection for Computationally Efficient Predictions


Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach


Adaptive Bayesian Inference of Markov Transition Rates


Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity


Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning


Adaptive Behavioral Model Learning for Software Product Lines


Adaptive Belief Discretization for POMDP Planning


Adaptive Bernstein Change Detector for High-Dimensional Data Streams


Adaptive Blind All-in-One Image Restoration


Adaptive Body Area Networks Using Kinematics and Biosignals


Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation


Adaptive Bootstrap Tests for Composite Null Hypotheses in the Mediation Pathway Analysis


Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection


Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing


Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction


Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification


Adaptive Bregman-Kaczmarz: An Approach to Solve Linear Inverse Problems with Independent Noise Exactly


Adaptive Cache-Friendly Priority Queue: Enhancing Heap-Tree Efficiency for Modern Computing


Adaptive Camera Sensor for Vision Models


Adaptive Cascading Network for Continual Test-Time Adaptation


Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning


Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts


Adaptive Class Suppression Loss for Long-Tail Object Detection


Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking


Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback


Adaptive Client Selection with Personalization for Communication Efficient Federated Learning


Adaptive Cluster Expansion for Ising spin models


Adaptive Cluster Thresholding with Spatial Activation Guarantees Using All-resolutions Inference


Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution


Adaptive Compilation of Multi-Level Quantum Operations


Adaptive Compression in Federated Learning via Side Information


Adaptive Compression of the Latent Space in Variational Autoencoders


Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference


Adaptive Conditional Quantile Neural Processes


Adaptive Confidence Multi-View Hashing for Multimedia Retrieval


Adaptive Confidence Threshold for ByteTrack in Multi-Object Tracking


Adaptive Conformal Inference Under Distribution Shift


Adaptive Conformal Prediction by Reweighting Nonconformity Score


Adaptive Conformal Predictions for Time Series


Adaptive Consensus Gradients Aggregation for Scaled Distributed Training


Adaptive Consistency Regularization for Semi-Supervised Transfer Learning


Adaptive Constrained Kinematic Control using Partial or Complete Task-Space Measurements


Adaptive Contention Window Design using Deep Q-learning


Adaptive Context Selection for Polyp Segmentation


Adaptive Context-Aware Multi-Modal Network for Depth Completion


Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions


Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation


Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios


Adaptive Convolution Kernel for Artificial Neural Networks


Adaptive Convolution for CNN-based Speech Enhancement Models


Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction


Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation


Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking


Adaptive Covariate Acquisition for Minimizing Total Cost of Classification


Adaptive Cross Approximation with a Geometrical Pivot Choice: ACA-GP Method


Adaptive Cross-Layer Attention for Image Restoration


Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations


Adaptive Cut Selection in Mixed-Integer Linear Programming


Adaptive Data Augmentation for Aspect Sentiment Quad Prediction


Adaptive Data Debiasing through Bounded Exploration


Adaptive Data Depth via Multi-Armed Bandits


Adaptive Data Exploitation in Deep Reinforcement Learning


Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws


Adaptive Data-Driven Prediction in a Building Control Hierarchy: A Case Study of Demand Response in Switzerland


Adaptive Decision Boundary for Few-Shot Class-Incremental Learning


Adaptive Decision Forest: An Incremental Machine Learning Framework


Adaptive Decoding Mechanisms for UAV-enabled Double-Uplink Coordinated NOMA


Adaptive Deep Forest for Online Learning from Drifting Data Streams


Adaptive Deep Learning through Visual Domain Localization


Adaptive Deep Neural Network Inference Optimization with EENet


Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging


Adaptive Density Tracking by Quadrature for Stochastic Differential Equations


Adaptive Dependency Learning Graph Neural Networks


Adaptive Depth Networks with Skippable Sub-Paths


Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination


Adaptive Differential Denoising for Respiratory Sounds Classification


Adaptive Differential Evolution with Diversification: Addressing Optimization Challenges


Adaptive Diffusion Priors for Accelerated MRI Reconstruction


Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation


Adaptive Divergence for Rapid Adversarial Optimization


Adaptive Document Retrieval for Deep Question Answering


Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification


Adaptive Dual-domain Learning for Underwater Image Enhancement


Adaptive Dynamic Filtering Network for Image Denoising


Adaptive Early-Learning Correction for Segmentation from Noisy Annotations


Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems


Adaptive Edge Offloading for Image Classification Under Rate Limit


Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers


Adaptive Enhancement of Extreme Low-Light Images


Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis


Adaptive Environment Modeling Based Reinforcement Learning for Collision Avoidance in Complex Scenes


Adaptive Ergodic Search with Energy-Aware Scheduling for Persistent Multi-Robot Missions


Adaptive Estimation for Approximate k-Nearest-Neighbor Computations


Adaptive Estimator Selection for Off-Policy Evaluation


Adaptive Experiment Design with Synthetic Controls


Adaptive Experimentation with Delayed Binary Feedback


Adaptive Expert Models for Personalization in Federated Learning


Adaptive Exploration for Data-Efficient General Value Function Evaluations


Adaptive Exploration for Unsupervised Person Re-Identification


Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment


Adaptive Federated Learning in Resource Constrained Edge Computing Systems


Adaptive Federated Learning with Auto-Tuned Clients


Adaptive Feedforward Neural Network Control with an Optimized Hidden Node Distribution


Adaptive Fine-Grained Sketch-Based Image Retrieval


Adaptive Fine-tuning based Transfer Learning for the Identification of MGMT Promoter Methylation Status


Adaptive Flip Graph Algorithm for Matrix Multiplication


Adaptive Focus for Efficient Video Recognition


Adaptive Frequency Band Analysis for Functional Time Series


Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation


Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation


Adaptive Fusion for RGB-D Salient Object Detection


Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving


Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter Control


Adaptive Gaussian Markov Random Fields for Child Mortality Estimation


Adaptive Genetic Algorithms for Pulse-Level Quantum Error Mitigation


Adaptive Geo-Topological Independence Criterion


Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition


Adaptive Gradient Balancing for UndersampledMRI Reconstruction and Image-to-Image Translation


Adaptive Gradient Descent Methods for Computing Implied Volatility


Adaptive Gradient Descent for Convex and Non-Convex Stochastic Optimization


Adaptive Gradient Descent without Descent


Adaptive Gradient Quantization for Data-Parallel SGD


Adaptive Gradient-Based Meta-Learning Methods


Adaptive Graduated Non-Convexity for Pose Graph Optimization


Adaptive Graph Auto-Encoder for General Data Clustering


Adaptive Graph Convolution Networks for Traffic Flow Forecasting


Adaptive Graph Convolutional Subspace Clustering


Adaptive Graph Encoder for Attributed Graph Embedding


Adaptive Graph Representation Learning for Video Person Re-identification


Adaptive Graphical Model Network for 2D Handpose Estimation


Adaptive Growth: Real-time CNN Layer Expansion


Adaptive Guidance for Local Training in Heterogeneous Federated Learning


Adaptive H&E-IHC information fusion staining framework based on feature extra


Adaptive Habitability of Exoplanets: Thriving Under Extreme Environmental Change


Adaptive Hardness Negative Sampling for Collaborative Filtering


Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks


Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing


Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data


Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification


Adaptive High-Pass Kernel Prediction for Efficient Video Deblurring


Adaptive Human Matting for Dynamic Videos


Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction


Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation


Adaptive Hypergraph Network for Trust Prediction


Adaptive Illumination based Depth Sensing using Deep Superpixel and Soft Sampling Approximation


Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare


Adaptive Image Transformations for Transfer-based Adversarial Attack


Adaptive In-conversation Team Building for Language Model Agents


Adaptive Information Seeking for Open-Domain Question Answering


Adaptive Interaction Modeling via Graph Operations Search


Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine


Adaptive Interventions with User-Defined Goals for Health Behavior Change


Adaptive Just-in-time Value Class Optimization for Lowering Memory Consumption and Improving Execution Time Performance


Adaptive Koopman Embedding for Robust Control of Complex Nonlinear Dynamical Systems


Adaptive Koopman Model Predictive Control of Simple Serial Robots


Adaptive L2 Regularization in Person Re-Identification


Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective


Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study


Adaptive Learning Rate and Momentum for Training Deep Neural Networks


Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment


Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks


Adaptive Length Image Tokenization via Recurrent Allocation


Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance


Adaptive Linear Span Network for Object Skeleton Detection


Adaptive LoRA Merge with Parameter Pruning for Low-Resource Generation


Adaptive Local Basis Functions for Shape Completion


Adaptive Local Clustering over Attributed Graphs


Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution


Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation


Adaptive Loss-aware Quantization for Multi-bit Networks


Adaptive Low Rank Adaptation of Segment Anything to Salient Object Detection


Adaptive Low-Rank Kernel Subspace Clustering


Adaptive MPC-based quadrupedal robot control under periodic disturbances


Adaptive Machine Learning for Resource-Constrained Environments


Adaptive Machine Translation with Large Language Models


Adaptive Manipulation using Behavior Trees


Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding


Adaptive Matrix Completion for the Users and the Items in Tail


Adaptive Mean-Residue Loss for Robust Facial Age Estimation


Adaptive Mesh Refinement for Variational Inequalities


Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching


Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training


Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics


Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization


Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification


Adaptive Metamorphic Testing with Contextual Bandits


Adaptive Methods for Aggregated Domain Generalization


Adaptive Mixing of Auxiliary Losses in Supervised Learning


Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting


Adaptive Modality Balanced Online Knowledge Distillation for Brain-Eye-Computer based Dim Object Detection


Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream


Adaptive Model Prediction Control-Based Multi-Terrain Trajectory Tracking Framework for Mobile Spherical Robots


Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits


Adaptive Monte Carlo Search for Conjecture Refutation in Graph Theory


Adaptive Morphological Reconstruction for Seeded Image Segmentation


Adaptive Multi-Agent Continuous Learning System


Adaptive Multi-Modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle Loss


Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching


Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems


Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting


Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning


Adaptive Multi-Teacher Multi-level Knowledge Distillation


Adaptive Multi-head Contrastive Learning


Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation


Adaptive Multi-step Refinement Network for Robust Point Cloud Registration


Adaptive Multidimensional Integration: VEGAS Enhanced


Adaptive Multilevel Monte Carlo for Probabilities


Adaptive Multilevel Stochastic Approximation of the Value-at-Risk


Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector


Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning


Adaptive Nearest Neighbor Machine Translation


Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning


Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective


Adaptive Neural Signal Detection for Massive MIMO


Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE


Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network


Adaptive Node Positioning in Biological Transport Networks


Adaptive Non-linear Centroidal MPC with Stability Guarantees for Robust Locomotion of Legged Robots


Adaptive Nonlinear Latent Transformation for Conditional Face Editing


Adaptive Nonparametric Perturbations of Parametric Bayesian Models


Adaptive Object Detection Using Adjacency and Zoom Prediction


Adaptive Observation Cost Control for Variational Quantum Eigensolvers


Adaptive Offline Quintuplet Loss for Image-Text Matching


Adaptive Online Learning of Quantum States


Adaptive Online Planning for Continual Lifelong Learning


Adaptive Online Value Function Approximation with Wavelets


Adaptive Open-Loop Step-Sizes for Accelerated Convergence Rates of the Frank-Wolfe Algorithm


Adaptive Optimization with Examplewise Gradients


Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction


Adaptive Orchestration for Large-Scale Inference on Heterogeneous Accelerator Systems Balancing Cost, Performance, and Resilience


Adaptive Ordered Information Extraction with Deep Reinforcement Learning


Adaptive Parameterization for Neural Dialogue Generation


Adaptive Partitioning for Chance-Constrained Problems with Finite Support


Adaptive Patch Exiting for Scalable Single Image Super-Resolution


Adaptive Path Sampling in Metastable Posterior Distributions


Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning


Adaptive Performance Assessment For Drivers Through Behavioral Advantage


Adaptive Physics-Informed System Modeling with Control for Nonlinear Structural System Estimation


Adaptive Posterior Learning: few-shot learning with a surprise-based memory module


Adaptive Power System Emergency Control using Deep Reinforcement Learning


Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars


Adaptive Preconditioned Gradient Descent with Energy


Adaptive Prediction Timing for Electronic Health Records


Adaptive Primal-Dual Stochastic Gradient Method for Expectation-constrained Convex Stochastic Programs


Adaptive Principal Components Allocation with the $\ell_{2,g}$-regularized Gaussian Graphical Model for Efficient Fine-Tuning Large Models


Adaptive Prior Selection for Repertoire-based Online Adaptation in Robotics


Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements


Adaptive Probabilistic Planning for the Uncertain and Dynamic Orienteering Problem


Adaptive Probabilistic Tack Manoeuvre Decision for Sailing Vessels


Adaptive Procedures for Discrimination Between Arbitrary Tensor-Product Quantum States


Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations


Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition


Adaptive Prompt Learning-based Few-Shot Sentiment Analysis


Adaptive Propagation Graph Convolutional Network


Adaptive Prototype Learning for Multimodal Cancer Survival Analysis


Adaptive Prototype Replay for Class Incremental Semantic Segmentation


Adaptive Proximal Gradient Method for Convex Optimization


Adaptive Quantile Low-Rank Matrix Factorization


Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems


Adaptive Quantum Generative Training using an Unbounded Loss Function


Adaptive Quantum State Tomography with Active Learning


Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise


Adaptive REST API Testing with Reinforcement Learning


Adaptive RKHS Fourier Features for Compositional Gaussian Process Models


Adaptive Radial Basis Function-generated Finite Differences method for contact problems


Adaptive Random Testing with Q-grams: The Illusion Comes True


Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences


Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters


Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization


Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification


Adaptive Real-Time Multi-Loss Function Optimization Using Dynamic Memory Fusion Framework: A Case Study on Breast Cancer Segmentation


Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding


Adaptive Rectangular Convolution for Remote Sensing Pansharpening


Adaptive Rectification Sampling for Test-Time Compute Scaling


Adaptive Reduced Basis Trust Region Methods for Parameter Identification Problems


Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation


Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation


Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users


Adaptive Resource Allocation for Workflow Containerization on Kubernetes


Adaptive Reward Design for Reinforcement Learning


Adaptive Risk Minimization: Learning to Adapt to Domain Shift


Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising


Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning


Adaptive Robust Learning using Latent Bernoulli Variables


Adaptive Rotated Convolution for Rotated Object Detection


Adaptive Sample Selection for Robust Learning under Label Noise


Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications


Adaptive Sampling and Joint Semantic-Channel Coding under Dynamic Channel Environment


Adaptive Sampling for Stochastic Risk-Averse Learning


Adaptive Sampling of Algal Blooms Using Autonomous Underwater Vehicle and Satellite Imagery: Experimental Validation in the Baltic Sea


Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR)


Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification


Adaptive Sampling using POMDPs with Domain-Specific Considerations


Adaptive Sampling-based Particle Filter for Visual-inertial Gimbal in the Wild


Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes


Adaptive Score Alignment Learning for Continual Perceptual Quality Assessment of 360-Degree Videos in Virtual Reality


Adaptive Self-Interference Cancellation for Full-Duplex Wireless Communication Systems


Adaptive Self-Training for Object Detection


Adaptive Self-improvement LLM Agentic System for ML Library Development


Adaptive Self-supervision Algorithms for Physics-informed Neural Networks


Adaptive Semantic Consistency for Cross-domain Few-shot Classification


Adaptive Semantic Token Communication for Transformer-based Edge Inference


Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution


Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification


Adaptive Sensor Steering Strategy Using Deep Reinforcement Learning for Dynamic Data Acquisition in Digital Twins


Adaptive Shock Compensation in the Multi-layer Network of Global Food Production and Trade


Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain Trajectories


Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis


Adaptive Softassign via Hadamard-Equipped Sinkhorn


Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images


Adaptive Sparse Estimation with Side Information


Adaptive Sparse Polynomial Chaos Expansions via Leja Interpolation


Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention


Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers


Adaptive Spatio-Temporal Voxels Based Trajectory Planning for Autonomous Driving in Highway Traffic Flow


Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning


Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations


Adaptive Stabilization Based on Machine Learning for Column Generation


Adaptive Step Selection for a Filtered Implicit Method


Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search


Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems


Adaptive Super Resolution For One-Shot Talking-Head Generation


Adaptive Supergeo Design: A Scalable Framework for Geographic Marketing Experiments


Adaptive Superpixel for Active Learning in Semantic Segmentation


Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs


Adaptive Surface Normal Constraint for Depth Estimation


Adaptive Symmetric Reward Noising for Reinforcement Learning


Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification


Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios


Adaptive Teaching with Shared Classifier for Knowledge Distillation


Adaptive Temperature Based on Logits Correlation in Knowledge Distillation


Adaptive Temporal Encoding Network for Video Instance-level Human Parsing


Adaptive Test-Time Personalization for Federated Learning


Adaptive Testing of Computer Vision Models


Adaptive Text Watermark for Large Language Models


Adaptive Thinking via Mode Policy Optimization for Social Language Agents


Adaptive Threshold for Online Object Recognition and Re-identification Tasks


Adaptive Token Sampling For Efficient Vision Transformers


Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds


Adaptive Traffic Control with Deep Reinforcement Learning:Towards State-of-the-art and Beyond


Adaptive Trajectory Estimation with Power Limited Steering Model under Perturbation Compensation


Adaptive Transfer Clustering: A Unified Framework


Adaptive Transformer Modelling of Density Function for Nonparametric Survival Analysis


Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making


Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery


Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement


Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition


Adaptive Universal Generalized PageRank Graph Neural Network


Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning


Adaptive Video Highlight Detection by Learning from User History


Adaptive Visual Scene Understanding: Incremental Scene Graph Generation


Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images


Adaptive Warden Strategy for Countering Network Covert Storage Channels


Adaptive Weight Modified Riesz Mean Filter For High-Density Salt and Pepper Noise Removal


Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation


Adaptive XGBoost for Evolving Data Streams


Adaptive actuation of magnetic soft robots using deep reinforcement learning


Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network


Adaptive and Gamified Learning Paths with Polyglot and .NET Interactive


Adaptive and Personalized Exercise Generation for Online Language Learning


Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning


Adaptive and optimized COVID-19 vaccination strategies across geographical regions and age groups


Adaptive clinical trial designs with blinded selection of binary composite endpoints and sample size reassessment


Adaptive confidence thresholding for monocular depth estimation


Adaptive conformal classification with noisy labels


Adaptive continuity-preserving simplification of street networks


Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing


Adaptive control of reaction-diffusion PDEs via neural operator-approximated gain kernels


Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task


Adaptive data collection for intra-individual studies affected by adherence


Adaptive deep learning framework for robust unsupervised underwater image enhancement


Adaptive energy reference for machine-learning models of the electronic density of states


Adaptive estimation of irregular mean and covariance functions


Adaptive estimation of quantum observables


Adaptive grid-based decomposition for UAV-based coverage path planning in maritime search and rescue


Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization


Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems


Adaptive loose optimization for robust question answering


Adaptive measurement strategy for quantum subspace methods


Adaptive monotonicity testing in sublinear time


Adaptive multi-penalty regularization based on a generalized Lasso path


Adaptive multipliers for extrapolation in frequency


Adaptive nonequilibrium design of actin-based metamaterials: fundamental and practical limits of control


Adaptive novelty detection with false discovery rate guarantee


Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing


Adaptive observers for biophysical neuronal circuits


Adaptive occlusion sensitivity analysis for visually explaining video recognition networks


Adaptive particle refinement for compressible smoothed particle hydrodynamics


Adaptive path planning for efficient object search by UAVs in agricultural fields


Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions


Adaptive preferential sampling in phylodynamics


Adaptive procedures for directional false discovery rate control


Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient


Adaptive proximal gradient methods are universal without approximation


Adaptive quadratures for nonlinear approximation of low-dimensional PDEs using smooth neural networks


Adaptive ratchets and the evolution of molecular complexity


Adaptive rational Krylov methods for exponential Runge--Kutta integrators


Adaptive schemes for piecewise deterministic Monte Carlo algorithms


Adaptive semiparametric Bayesian differential equations via sequential Monte Carlo


Adaptive sequential Monte Carlo for automated cross validation in structural Bayesian hierarchical models


Adaptive sequential Monte Carlo for multiple changepoint analysis


Adaptive sequential Monte Carlo for posterior inference and model selection among complex geological priors


Adaptive spline fitting with particle swarm optimization


Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation


Adaptive teachers for amortized samplers


Adaptive time step control for multirate infinitesimal methods


Adaptive tracking MPC for nonlinear systems via online linear system identification


Adaptive trajectory-constrained exploration strategy for deep reinforcement learning


Adaptive variational simulation for open quantum systems


Adaptive wavelet distillation from neural networks through interpretations


Adaptive whitening in neural populations with gain-modulating interneurons


Adaptive whitening with fast gain modulation and slow synaptic plasticity


Adaptive, Continuous Entanglement Generation for Quantum Networks


Adaptive-LIO: Enhancing Robustness and Precision through Environmental Adaptation in LiDAR Inertial Odometry


Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy Features


Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity


Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning


AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation


AdaptiveCoPilot: Design and Testing of a NeuroAdaptive LLM Cockpit Guidance System in both Novice and Expert Pilots


AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image Editing


AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length


AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model


AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation


AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence


AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images


Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning


Adaptively Clustering Neighbor Elements for Image-Text Generation


Adaptively Customizing Activation Functions for Various Layers


Adaptively Exploiting d-Separators with Causal Bandits


Adaptively Perturbed Mirror Descent for Learning in Games


Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization


Adaptively Robust Geographically Weighted Regression


Adaptively Robust Small Area Estimation: Balancing Robustness and Efficiency of Empirical Bayes Confidence Intervals


Adaptively Robust and Sparse K-means Clustering


Adaptively Truncating Backpropagation Through Time to Control Gradient Bias


Adaptively switching between a particle marginal Metropolis-Hastings and a particle Gibbs kernel in SMC$^2$


Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization


AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI Researchers


Adaptor: Objective-Centric Adaptation Framework for Language Models


Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection


Add-SD: Rational Generation without Manual Reference


Addictive Auctions: using lucky-draw and gambling addiction to increase participation during auctioning


Adding A Filter Based on The Discriminator to Improve Unconditional Text Generation


Adding Cues to Binary Feature Descriptors for Visual Place Recognition


Adding Interactive Visual Syntax to Textual Code


Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent


Adding eccentricity to quasicircular binary-black-hole waveform models


Adding simple structure at inference improves Vision-Language Compositionality


Adding smoothing splines to the SAM model improves stock assessment


Adding species to chemical reaction networks: preserving rank preserves nondegenerate behaviours


Addition is almost all you need: Compressing neural networks with double binary factorization


Additive Adversarial Learning for Unbiased Authentication


Additive Causal Bandits with Unknown Graph


Additive Margin SincNet for Speaker Recognition


Additive Noise Annealing and Approximation Properties of Quantized Neural Networks


Additive Polynomial Time Integrators, Part I: Framework and Fully-Implicit-Explicit (FIMEX) Collocation Methods


Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks


Additive Tensor Decomposition Considering Structural Data Information


Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation


Additive function approximation in the brain


Additive interaction modelling using I-priors


Additive manifesto decomposition: A policy domain aware method for understanding party positioning


Additive manufacturing process design with differentiable simulations


Additive stacking for disaggregate electricity demand forecasting


AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization


Addressee and Response Selection for Multilingual Conversation


Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs


Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation


Addressing Both Statistical and Causal Gender Fairness in NLP Models


Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm


Addressing Catastrophic Forgetting in Few-Shot Problems


Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score


Addressing Compiler Errors: Stack Overflow or Large Language Models?


Addressing Confounding Feature Issue for Causal Recommendation


Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems


Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted Loss


Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, Methodologies and Practical Solutions for Wrist-worn Wearable Monitoring


Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection


Addressing Detection Limits with Semiparametric Cumulative Probability Models


Addressing Discrete Dynamic Optimization via a Logic-Based Discrete-Steepest Descent Algorithm


Addressing Discretization-Induced Bias in Demographic Prediction


Addressing Domain Discrepancy: A Dual-branch Collaborative Model to Unsupervised Dehazing


Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment


Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss


Addressing Gap between Training Data and Deployed Environment by On-Device Learning


Addressing Heterogeneity in Federated Learning via Distributional Transformation


Addressing Heterophily in Node Classification with Graph Echo State Networks


Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts


Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency


Addressing Label Leakage in Knowledge Tracing Models


Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning


Addressing Marketing Bias in Product Recommendations


Addressing Missing Data Issue for Diffusion-based Recommendation


Addressing Missing Sources with Adversarial Support-Matching


Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets


Addressing Multilabel Imbalance with an Efficiency-Focused Approach Using Diffusion Model-Generated Synthetic Samples


Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies


Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent


Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models


Addressing Out-of-Label Hazard Detection in Dashcam Videos: Insights from the COOOL Challenge


Addressing Outcome Reporting Bias in Meta-analysis: A Selection Model Perspective


Addressing Overprescribing Challenges: Fine-Tuning Large Language Models for Medication Recommendation Tasks


Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation


Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia


Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization


Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge


Addressing Relative Pose Impact on UWB Localization: Dataset Introduction and Analysis


Addressing Representation Collapse in Vector Quantized Models with One Linear Layer


Addressing Segmentation Ambiguity in Neural Linguistic Steganography


Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach


Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark


Addressing Small and Imbalanced Medical Image Datasets Using Generative Models: A Comparative Study of DDPM and PGGANs with Random and Greedy K Sampling


Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning


Addressing The Devastating Effects Of Single-Task Data Poisoning In Exemplar-Free Continual Learning


Addressing Token Uniformity in Transformers via Singular Value Transformation


Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling


Addressing Topic Leakage in Cross-Topic Evaluation for Authorship Verification


Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization


Addressing a fundamental limitation in deep vision models: lack of spatial attention


Addressing cognitive bias in medical language models


Addressing distributional shifts in operations management: The case of order fulfillment in customized production


Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic


Addressing multiple metrics of group fairness in data-driven decision making


Addressing researcher degrees of freedom through minP adjustment


Addressing target shift in zero-shot learning using grouped adversarial learning


Addressing the Challenges of Planning Language Generation


Addressing the Cold-Start Problem in Outfit Recommendation Using Visual Preference Modelling


Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature Alignment


Addressing the Fundamental Tension of PCGML with Discriminative Learning


Addressing the Impact of Localized Training Data in Graph Neural Networks


Addressing the Invisible: Street Address Generation for Developing Countries with Deep Learning


Addressing the Long-term Impact of ML Decisions via Policy Regret


Addressing the Mystery of Population Decline of the Rose-Crested Blue Pipit in a Nature Preserve using Data Visualization


Addressing the Scarcity of Benchmarks for Graph XAI


Addressing the Topological Defects of Disentanglement via Distributed Operators


Addressing the Vulnerability of NMT in Input Perturbations


Addressing the challenges of loop detection in agricultural environments


Addressing the confounds of accompaniments in singer identification


Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons


Addressing the sustainable AI trilemma: a case study on LLM agents and RAG


Addressing tokens dynamic generation, propagation, storage and renewal to secure the GlideinWMS pilot based jobs and system


Addressing type Ia supernova color variability with a linear spectral template


AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines


Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach


Adiabatic quantum computing with parameterized quantum circuits


Adinkra Height Yielding Matrix Numbers: Eigenvalue Equivalence Classes for Minimal Four-Color Adinkras


Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation


Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning


Adjacency Matrix Decomposition Clustering for Human Activity Data


Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images


Adjacent-Level Feature Cross-Fusion With 3-D CNN for Remote Sensing Image Change Detection


Adjoined Networks: A Training Paradigm with Applications to Network Compression


Adjoint Optimisation for Wind Farm Flow Control with a Free-Vortex Wake Model


Adjoint System in the Shooting Method to Solve Boundary Value Problems


Adjoint method and inverse design for nonlinear nanophotonic devices


Adjoint-Based Enforcement of State Constraints in PDE Optimization Problems


Adjoint-Based Projections for Uncertainty Quantification near Stochastically Perturbed Limit Cycles and Tori


Adjoint-based methods for optimization and goal-oriented error control applied to fluid-structure interaction: implementation of a partition-of-unity dual-weighted residual estimator for stationary forward FSI problems in deal.II