Papers
Fri 4 Apr 2025
265 papers
- How Social is It? A Benchmark for LLMs' Capabilities in Multi-user Multi-turn Social Agent TasksLLM agents and tool use → Social simulation and multi-agent debate
- ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer UseMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Improving Mixed-Criticality Scheduling with Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- I Can Hear You Coming: RF Sensing for Uncooperative Satellite EvasionDeep reinforcement learning methods → RL for robot navigation and UAV control
- VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Optimizing UAV Aerial Base Station Flights Using DRL-based Proximal Policy OptimizationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Practical Poisoning Attacks against Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature LearningLLM reasoning → Multimodal reasoning
- Distillation and Refinement of Reasoning in Small Language Models for Document Re-rankingLLM reasoning → Knowledge- and tool-augmented reasoning +1
- YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA SummarizationLLM agents and tool use → Medical and scientific domain agents
- Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase TransitionLLM reasoning → Reasoning benchmarks and evaluation
- Concept-based Rubrics Improve LLM Formative Assessment and Data SynthesisSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUsMixture-of-experts → Efficient MoE training and inference systems
- Improving World Models using Deep Supervision with Linear ProbesWorld models → World models for language agents +1
- Detection Limits and Statistical Separability of Tree Ring Watermarks in Rectified Flow-based Text-to-Image Generation ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Do LLM Evaluators Prefer Themselves for a Reason?LLM reasoning → Reasoning benchmarks and evaluation +1
- A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Hierarchically Encapsulated Representation for Protocol Design in Self-Driving LabsEnd-to-end autonomous driving → Large language models for driving
- Decision SpikeFormer: Spike-Driven Transformer for Decision MakingOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Sample, Don't Search: Rethinking Test-Time Alignment for Language ModelsLLM reasoning → Reinforcement learning for reasoning +1
- MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation ModelsLLM reasoning → Multimodal reasoning
- Finding the Minimal Parameter Budget for Implicit Reasoning: A Data Complexity Driven Scaling Law for Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Align to Structure: Aligning Large Language Models with Structural InformationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Multilingual Retrieval-Augmented Generation for Knowledge-Intensive TaskRetrieval-augmented generation → Generation and context integration
- AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference DatasetLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Multimodal Diffusion Bridge with Attention-Based SAR Fusion for Satellite Image Cloud RemovalDiffusion models → Inverse problems and image restoration
- APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human InterplayLLM agents and tool use → General LLM agent frameworks and benchmarks
- SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge RefinementLLM agents and tool use → General LLM agent frameworks and benchmarks
- Agentic Knowledgeable Self-awarenessLLM agents and tool use → General LLM agent frameworks and benchmarks
- RANa: Retrieval-Augmented NavigationRetrieval-augmented generation → Multimodal RAG
- Dexterous Manipulation through Imitation Learning: A SurveyOffline RL and imitation learning from data → Robot manipulation imitation learning
- Learning Dual-Arm Coordination for Grasping Large Flat ObjectsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed TomographyDiffusion models → Medical imaging and segmentation
- BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Dynamic Importance in Diffusion U-Net for Enhanced Image SynthesisDiffusion models → Diffusion foundations and sampling
- D-Garment: Physically Grounded Latent Diffusion for Dynamic Garment DeformationsDiffusion models → 3D, point cloud and scene generation
- Generating ensembles of spatially-coherent in-situ forecasts using flow matchingDiffusion models → Flow matching, time series and science
- Pyramid-based Mamba Multi-class Unsupervised Anomaly DetectionState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural NetworksDeep reinforcement learning methods → Quantum reinforcement learning
- The AI Cosmologist I: An Agentic System for Automated Data AnalysisLLM agents and tool use → Web, search, and research agents
- Autonomous state-space segmentation for Deep-RL sparse reward scenariosDeep reinforcement learning methods → Deep RL algorithms and representations
- Online Difficulty Filtering for Reasoning Oriented Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Decentralized Collective World Model for Emergent Communication and CoordinationWorld models → World models for language agents
- FaR: Enhancing Multi-Concept Text-to-Image Diffusion via Concept Fusion and Localized RefinementDiffusion models → Image generation, text-to-image and editing
- Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social SimulationsLLM agents and tool use → Social simulation and multi-agent debate
- Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspectiveLLM agents and tool use → Agent threats, guardrails and governance
- SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Think When You Need: Self-Adaptive Chain-of-Thought LearningLLM reasoning → Prompting and chain-of-thought reasoning
- Enhancing Personalized Multi-Turn Dialogue with Curiosity RewardLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Explain with Visual Keypoints Like a Real Mentor! A Benchmark for Multimodal Solution ExplanationLLM reasoning → Multimodal reasoning
- Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- On the Connection Between Diffusion Models and Molecular DynamicsDiffusion models → Flow matching, time series and science
- Learning Natural Language Constraints for Safe Reinforcement Learning of Language AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Multi-lingual Multi-turn Automated Red Teaming for LLMsLLM safety and security → Prompt injection and agent security
- PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning AttacksLLM safety and security → Federated unlearning and poisoning
- RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image InterpretationMixture-of-experts → Vision mixture-of-experts
- Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-GenerationRetrieval-augmented generation → Generation and context integration
- NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- Enhanced Penalty-based Bidirectional Reinforcement Learning AlgorithmsDeep reinforcement learning methods → Deep RL algorithms and representations
- DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsLLM reasoning → Knowledge- and tool-augmented reasoning
- TokenFLEX: Unified VLM Training for Flexible Visual Tokens InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous LaboratoriesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)LLM reasoning → Multimodal reasoning
- Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion ModelsDiffusion models → Video generation
- LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge GraphLLM reasoning → Knowledge- and tool-augmented reasoning
- Les Dissonances: Cross-Tool Harvesting and Polluting in Pool-of-Tools Empowered LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Toward a digital twin of U.S. Congress
- Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches
- Maestoso: An Intelligent Educational Sketching Tool for Learning Music Theory
- Kanji Workbook: A Writing-Based Intelligent Tutoring System for Learning Proper Japanese Kanji Writing Technique with Instructor-Emulated Assessment
- AI as a deliberative partner fosters intercultural empathy for Americans but fails for Latin American participants
- Towards a Multimodal Document-grounded Conversational AI System for Education
- Can AI Master Construction Management (CM)? Benchmarking State-of-the-Art Large Language Models on CM Certification Exams
- From Tokens to Lattices: Emergent Lattice Structures in Language Models
- The Lyme Disease Controversy: An AI-Driven Discourse Analysis of a Quarter Century of Academic Debate and Divides
- Metamorphic Testing for Fairness Evaluation in Large Language Models: Identifying Intersectional Bias in LLaMA and GPT
- Generative AI Enhanced Financial Risk Management Information Retrieval
- Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction
- Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images
- Level Generation with Constrained Expressive Range
- When is using AI the rational choice? The importance of counterfactuals in AI deployment decisions
- Not someone, but something: Rethinking trust in the age of medical AI
- Regression Discontinuity Design with Distribution-Valued Outcomes
- Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models
- CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Development
- Structured Extraction of Process Structure Properties Relationships in Materials Science
- V-CEM: Bridging Performance and Intervenability in Concept-based Models
- OLAF: An Open Life Science Analysis Framework for Conversational Bioinformatics Powered by Large Language Models
- GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization
- Bridging LMS and generative AI: dynamic course content integration (DCCI) for enhancing student satisfaction and engagement via the ask ME assistant
- Clinical ModernBERT: An efficient and long context encoder for biomedical text
- DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design
- A New Approach to Controlling Linear Dynamical Systems
- Understanding EFX Allocations: Counting and Variants
- ProbRes: Probabilistic Jump Diffusion for Open-World Egocentric Activity Recognition
- Multi-Variable Batch Bayesian Optimization in Materials Research: Synthetic Data Analysis of Noise Sensitivity and Problem Landscape Effects
- Analysis of Robustness of a Large Game Corpus
- Language Models Are Implicitly Continuous
All 265
- NAACL2025 Tutorial: Adaptation of Large Language Models
- Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces
- An Exploration-free Method for a Linear Stochastic Bandit Driven by a Linear Gaussian Dynamical System
- Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks
- RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex Scenarios
- Opening the Black-Box: Symbolic Regression with Kolmogorov-Arnold Networks for Energy Applications
- CliME: Evaluating Multimodal Climate Discourse on Social Media and the Climate Alignment Quotient (CAQ)
- Stochastic Variational Inference with Tuneable Stochastic Annealing
- Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification
- Efficient FPGA-accelerated Convolutional Neural Networks for Cloud Detection on CubeSats
- Identifying and Evaluating Inactive Heads in Pretrained LLMs
- Investigating Affective Use and Emotional Well-being on ChatGPT
- Accurate GPU Memory Prediction for Deep Learning Jobs through Dynamic Analysis
- WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments
- 3D Scene Understanding Through Local Random Access Sequence Modeling
- CREASE-2D Analysis of Small Angle X-ray Scattering Data from Supramolecular Dipeptide Systems
- Control Map Distribution using Map Query Bank for Online Map Generation
- Can ChatGPT Learn My Life From a Week of First-Person Video?
- Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
- Arti-"fickle" Intelligence: Using LLMs as a Tool for Inference in the Political and Social Sciences
- Exploring Various Sequential Learning Methods for Deformation History Modeling
- Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
- Drawing a Map of Elections
- From Keypoints to Realism: A Realistic and Accurate Virtual Try-on Network from 2D Images
- Offline and Distributional Reinforcement Learning for Wireless Communications
- What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
- Semantic-guided Representation Learning for Multi-Label Recognition
- Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
- An Intelligent and Privacy-Preserving Digital Twin Model for Aging-in-Place
- CSF: Fixed-outline Floorplanning Based on the Conjugate Subgradient Algorithm Assisted by Q-Learning
- Entropy-Based Block Pruning for Efficient Large Language Models
- Outlook Towards Deployable Continual Learning for Particle Accelerators
- DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework
- Bonsai: Interpretable Tree-Adaptive Grounded Reasoning
- Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions
- An Algebraic Geometry Approach to Viewing Graph Solvability
- Quantum Speedups for Sampling and Non-convex Optimization with Stochastic Oracles
- Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction
- Quantifying the uncertainty of model-based synthetic image quality metrics
- PILOT: A Promptable Interleaved Layout-aware OCR Transformer
- Trading off Relevance and Revenue in the Jobs Marketplace: Estimation, Optimization and Auction Design
- Autonomous and Self-Adapting System for Synthetic Media Detection and Attribution
- Towards deployment-centric multimodal AI beyond vision and language
- Robust Human Registration with Body Part Segmentation on Noisy Point Clouds
- MedSAM2: Segment Anything in 3D Medical Images and Videos
- EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline
- Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin
- Extending the SAREF4ENER Ontology with Flexibility Based on FlexOffers
- Optimistic Online Learning in Symmetric Cone Games
- AdaViT: Adaptive Vision Transformer for Flexible Pretrain and Finetune with Variable 3D Medical Image Modalities
- AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
- Scalable Hypergraph Structure Learning with Diverse Smoothness Priors
- Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy
- PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector
- Stochastic Optimization with Optimal Importance Sampling
- MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation
- Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing
- HumanDreamer-X: Photorealistic Single-image Human Avatars Reconstruction via Gaussian Restoration
- Dense Neural Network Based Arrhythmia Classification on Low-cost and Low-compute Micro-controller
- Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles
- FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation
- Hierarchical Knowledge Structuring for Effective Federated Learning in Heterogeneous Environments
- Operator Learning: A Statistical Perspective
- LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders
- Optimistic Learning for Communication Networks
- Hybrid Real- and Complex-valued Neural Network Architecture
- Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
- Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej
- Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching
- Discovering Partially Known Ordinary Differential Equations: a Case Study on the Chemical Kinetics of Cellulose Degradation
- Online Traffic Density Estimation using Physics-Informed Neural Networks
- Probabilistic Machine Learning for Noisy Labels in Earth Observation
- Anatomy-Aware Text-Visual Fusion with Dual-Perspective Prompts for Fine-Grained Lumbar Spine Segmentation
- Multi-encoder nnU-Net outperforms transformer models with self-supervised pretraining
- Physics-informed 4D X-ray image reconstruction from ultra-sparse spatiotemporal data
- Conditioning Diffusions Using Malliavin Calculus
- SpectR: Dynamically Composing LM Experts with Spectral Routing
- Optimizing Specific and Shared Parameters for Efficient Parameter Tuning
- Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms
- ZFusion: An Effective Fuser of Camera and 4D Radar for 3D Object Perception in Autonomous Driving
- Locations of Characters in Narratives: Andersen and Persuasion Datasets
- A Polynomial-Time Algorithm for Variational Inequalities under the Minty Condition
- DML-RAM: Deep Multimodal Learning Framework for Robotic Arm Manipulation using Pre-trained Models
- NeRFlex: Resource-aware Real-time High-quality Rendering of Complex Scenes on Mobile Devices
- BitHEP -- The Limits of Low-Precision ML in HEP
- FLAIRBrainSeg: Fine-grained brain segmentation using FLAIR MRI only
- Point Cloud-based Grasping for Soft Hand Exoskeleton
- Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
- A metrological framework for uncertainty evaluation in machine learning classification models
- StereoDetect: Detecting Stereotypes and Anti-stereotypes the Correct Way Using Social Psychological Underpinnings
- Partially stochastic deep learning with uncertainty quantification for model predictive heating control
- Meta-DAN: towards an efficient prediction strategy for page-level handwritten text recognition
- Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web
- EOOD: Entropy-based Out-of-distribution Detection
- BabyLM's First Words: Word Segmentation as a Phonological Probing Task
- QIRL: Optimized Question-Image Relation Learning for Bias-Robust Visual Question Answering
- Data Augmentation of Time-Series Data in Human Movement Biomechanics: A Scoping Review
- Mind the Prompt: Prompting Strategies in Audio Generations for Improving Sound Classification
- Policy Optimization Algorithms in a Unified Framework
- Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
- Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting
- Adaptive sparse variational approximations for Gaussian process regression
- Adaptive Classification of Interval-Valued Time Series
- Detecting underdetermination in parameterized quantum circuits
- Steerable Anatomical Shape Synthesis with Implicit Neural Representations
- Evaluating Compact LLMs for Zero-Shot Iberian Language Tasks on End-User Devices
- Roto-Translation Invariant Metrics on Position-Orientation Space
- Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection
- Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
- Universal Collection of Euclidean Invariants between Pairs of Position-Orientations
- Stance-Driven Multimodal Controlled Statement Generation: New Dataset and Task
- RWKVTTS: Yet another TTS based on RWKV-7
- Towards Effective E-Participation of Citizens in the European Union: The Development of AskThePublic
- JanusDDG: A Thermodynamics-Compliant Model for Sequence-Based Protein Stability via Two-Fronts Multi-Head Attention
- Monte Carlo Graph Coloring
- Verification of Autonomous Neural Car Control with KeYmaera X
- An Extended Symbolic-Arithmetic Model for Teaching Double-Black Removal with Rotation in Red-Black Trees
- TQD-Track: Temporal Query Denoising for 3D Multi-Object Tracking
- Robot Localization Using a Learned Keypoint Detector and Descriptor with a Floor Camera and a Feature Rich Industrial Floor
- Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators
- Rotation Invariance in Floor Plan Digitization using Zernike Moments
- Malware Detection in Docker Containers: An Image is Worth a Thousand Logs
- Enhancing Traffic Incident Response through Sub-Second Temporal Localization with HybridMamba
- Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection
- Weak instrumental variables due to ignored nonlinearities in panel data: A Super Learner Control Function estimator
- Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics
- Learning Lie Group Generators from Trajectories
- From ChatGPT to DeepSeek AI: A Comprehensive Analysis of Evolution, Deviation, and Future Implications in AI-Language Models
- Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning
- Persuasive Calibration
- PIONM: A Generalized Approach to Solving Density-Constrained Mean-Field Games Equilibrium under Modified Boundary Conditions
- Augmenting Human Cognition With Generative AI: Lessons From AI-Assisted Decision-Making
- BondMatcher: H-Bond Stability Analysis in Molecular Systems
- Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video
- Three Forensic Cues for JPEG AI Images
- The Ground Cost for Optimal Transport of Angular Velocity
- Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
- MIMRS: A Survey on Masked Image Modeling in Remote Sensing
- Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
- Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework
- Bayesian Optimization of Robustness Measures under Input Uncertainty: A Randomized Gaussian Process Upper Confidence Bound Approach
- Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion
- Water Mapping and Change Detection Using Time Series Derived from the Continuous Monitoring of Land Disturbance Algorithm
- REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
- Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning
- Beyond Progress Measures: Theoretical Insights into the Mechanism of Grokking
- Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction
- Accelerating Particle-based Energetic Variational Inference
- Safe Screening Rules for Group OWL Models
- A Human Digital Twin Architecture for Knowledge-based Interactions and Context-Aware Conversations
- Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images
- Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable
- Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion
- Joint Retrieval of Cloud properties using Attention-based Deep Learning Models
- GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction
- FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge
- From Observation to Orientation: an Adaptive Integer Programming Approach to Intervention Design
- Graph Network Modeling Techniques for Visualizing Human Mobility Patterns
- NuWa: Deriving Lightweight Class-Specific Vision Transformers for Edge Devices
- Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation
- Single-Pass Document Scanning for Question Answering
- A Computational Transition for Detecting Multivariate Shuffled Linear Regression by Low-Degree Polynomials
- Scaling Open-Vocabulary Action Detection
- Post-processing for Fair Regression via Explainable SVD
- Machine Learning-Based Detection and Analysis of Suspicious Activities in Bitcoin Wallet Transactions in the USA