mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 30 Oct 2024

355 papers

  1. NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network SimulationDeep reinforcement learning methods → RL for energy, networks and operations
  2. Mechanistic Interpretability of Reinforcement Learning AgentsMechanistic interpretability → Circuits and mechanistic analysis +1
  3. Vision-Language Models Can Self-Improve Reasoning via ReflectionLLM reasoning → Multimodal reasoning +2
  4. Accelerated AI Inference via Dynamic Execution MethodsDiffusion models → Diffusion foundations and sampling +1
  5. A Theoretical Perspective for Speculative Decoding AlgorithmEfficient LLM inference and serving → Speculative decoding
  6. ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
  7. Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillationKnowledge distillation → Knowledge distillation for LLMs
  8. Neural spell-checker: Beyond words with synthetic data generationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  9. Dynamic Strategy Planning for Efficient Question Answering with Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
  10. Efficient and Interpretable Grammatical Error Correction with Mixture of ExpertsMixture-of-experts → MoE large language models
  11. Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret AlgorithmDeep reinforcement learning methods → RL theory and sample complexity
  12. Smaller Large Language Models Can Do Moral Self-CorrectionLLM safety and security → Safety alignment, refusal and guardrails
  13. Return Augmented Decision Transformer for Off-Dynamics Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
  14. Mind the Gap: A Generalized Approach for Cross-Modal Embedding AlignmentRetrieval-augmented generation → Generation and context integration
  15. Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix EstimationDeep reinforcement learning methods → RL theory and sample complexity
  16. Stepping Out of the Shadows: Reinforcement Learning in Shadow ModeDeep reinforcement learning methods → RL for robot locomotion and manipulation
  17. FlowLLM: Flow Matching for Material Generation with Large Language Models as Base DistributionsDiffusion models → Flow matching, time series and science
  18. VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought ReasoningLLM reasoning → Reasoning for agents, planning and code
  19. Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning ApproachDeep reinforcement learning methods → RL for games and combinatorial optimization
  20. Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  21. Multilingual Vision-Language Pre-training for the Remote Sensing DomainMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  22. Sequential Order-Robust Mamba for Time Series ForecastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
  23. MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank ExpertsDiffusion models → Image generation, text-to-image and editing
  24. CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIPLLM safety and security → Machine unlearning
  25. Provable Acceleration for Diffusion Models under Minimal AssumptionsDiffusion models → Diffusion foundations and sampling
  26. DreamRelation: Bridging Customization and Relation GenerationDiffusion models → Image generation, text-to-image and editing
  27. Multi-student Diffusion Distillation for Better One-step GeneratorsDiffusion models → Diffusion foundations and sampling
  28. TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation ModelsLLM reasoning → Multimodal reasoning
  29. EMMA: End-to-End Multimodal Model for Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
  30. Keypoint Abstraction using Large Models for Object-Relative Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  31. Evaluating Cultural and Social Awareness of LLM Web AgentsLLM agents and tool use → Social simulation and multi-agent debate
  32. A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environmentLLM reasoning → Spatial and embodied reasoning
  33. Attribute-to-Delete: Machine Unlearning via Datamodel MatchingLLM safety and security → Machine unlearning
  34. COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  35. OS-ATLAS: A Foundation Action Model for Generalist GUI AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  36. ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM ReasoningLLM reasoning → LLM reasoning for recommendation
  37. VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot PlanningWorld models → Embodied and robot world models
  38. On Memorization of Large Language Models in Logical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  39. Unified Triplet-Level Hallucination Evaluation for Large Vision-Language ModelsLLM reasoning → Hallucination detection and mitigation +1
  40. CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial DefenseDiffusion models → Robustness, privacy and adversarial aspects
  41. CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation GenerationRetrieval-augmented generation → Conversational and speech RAG
  42. PIP-MM: Pre-Integrating Prompt Information into Visual Encoding via Existing MLLM StructuresMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  43. Towards Practical Operation of Deep Reinforcement Learning Agents in Real-World Network Management at Open RAN EdgesDeep reinforcement learning methods → RL for energy, networks and operations
  44. BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
  45. Controlling Language and Diffusion Models by Transporting ActivationsDiffusion models → Discrete and text diffusion
  46. Emotional RAG: Enhancing Role-Playing Agents through Emotional RetrievalRetrieval-augmented generation → Agentic RAG, agents and memory +1
  47. Offline Reinforcement Learning and Sequence Modeling for Downlink Link AdaptationOffline RL and imitation learning from data → Offline multi-agent RL
  48. Online Intrinsic Rewards for Decision Making Agents from Large Language Model FeedbackLLM agents and tool use → Reinforcement learning for LLM agents +1
  49. Improving Musical Accompaniment Co-creation via Diffusion TransformersDiffusion models → Audio, speech and music
  50. Long2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point RecallRetrieval-augmented generation → RAG pipeline design and evaluation
  51. VisAidMath: Benchmarking Visual-Aided Mathematical ReasoningLLM reasoning → Multimodal reasoning
  52. Private Synthetic Text Generation with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  53. Retrieval-Augmented Generation with Estimation of Source ReliabilityRetrieval-augmented generation → RAG robustness and adaptive retrieval
  54. DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing DataDiffusion models → Diffusion and flow policies for robotics +1
  55. Multi-Agent Large Language Models for Conversational Task-SolvingLLM agents and tool use → General LLM agent frameworks and benchmarks
  56. Simulation-Free Training of Neural ODEs on Paired DataDiffusion models → Flow matching, time series and science
  57. Explainable Behavior Cloning: Teaching Large Language Model Agents through Learning by DemonstrationLLM agents and tool use → GUI and mobile agents
  58. HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  59. VPO: Leveraging the Number of Votes in Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  60. Effective and Efficient Adversarial Detection for Vision-Language Models via A Single VectorMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  61. Stealing User Prompts from Mixture of ExpertsMixture-of-experts → Expert routing strategies
  62. Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive ExplanationsLLM reasoning → Knowledge- and tool-augmented reasoning +1
  63. HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG
  64. Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing ImagesDiffusion models → Inverse problems and image restoration
  65. Adaptive Multi Scale Document Binarisation Using Vision MambaState-space sequence models (S4, Mamba) → Mamba for image restoration
  66. Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
  67. InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail ModelsLLM safety and security → Prompt injection and agent security
  68. Self-Driving Car Racing: Application of Deep Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving +1
  69. SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
  70. Constructing Multimodal Datasets from Scratch for Rapid Development of a Japanese Visual Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  71. st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image PredictionDiffusion models → Medical imaging and segmentation
  72. Offline Behavior DistillationDeep reinforcement learning methods → Deep RL algorithms and representations
  73. One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial AttacksDiffusion models → Robustness, privacy and adversarial aspects
  74. Robotic State Recognition with Image-to-Text Retrieval Task of Pre-Trained Vision-Language Model and Black-Box OptimizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  75. Multi-Task Interactive Robot Fleet Learning with Visual World ModelsWorld models → Embodied and robot world models
  76. Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image ErosionLLM safety and security → Backdoor and data poisoning attacks
  77. Calibrating Practical Privacy Risks for Differentially Private Machine LearningLLM safety and security → Membership inference attacks
  78. EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM AgentsLLM agents and tool use → Multimodal and embodied agents
  79. Incremental Learning of Retrievable Skills For Efficient Continual Task AdaptationOffline RL and imitation learning from data → Robot manipulation imitation learning
  80. Consistency Diffusion Bridge ModelsDiffusion models → Diffusion foundations and sampling
  81. Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks
  82. AI-Driven Feedback Loops in Digital Technologies: Psychological Impacts on User Behaviour and Well-Being
  83. Residual Multi-Task Learner for Applied Ranking
  84. Two pathways to resolve relational inconsistencies
  85. Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application
  86. LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions
  87. A Comprehensive Study on Quantization Techniques for Large Language Models
  88. NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication
  89. Federated Learning for Diabetic Retinopathy Diagnosis: Enhancing Accuracy and Generalizability in Under-Resourced Regions
  90. Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy
  91. Emory Knee Radiograph (MRKR) Dataset
  92. Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models
  93. Advancing Crime Linkage Analysis with Machine Learning: A Comprehensive Review and Framework for Data-Driven Approaches
  94. Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation
  95. A Simple and Effective Temporal Grounding Pipeline for Basketball Broadcast Footage
  96. Survey of Cultural Awareness in Language Models: Text and Beyond
  97. Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems
  98. DiabML: AI-assisted diabetes diagnosis method with meta-heuristic-based feature selection
  99. Deep Learning for 3D Point Cloud Enhancement: A Survey
  100. AI in Investment Analysis: LLMs for Equity Stock Ratings
All 355
  1. EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection
  2. Automatic feature selection and weighting in molecular systems using Differentiable Information Imbalance
  3. GWQ: Gradient-Aware Weight Quantization for Large Language Models
  4. Evaluating Evidential Reliability In Pattern Recognition Based On Intuitionistic Fuzzy Sets
  5. Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity
  6. End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial
  7. Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
  8. The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation
  9. Video prediction using score-based conditional density estimation
  10. Generating Diverse Negations from Affirmative Sentences
  11. eDOC: Explainable Decoding Out-of-domain Cell Types with Evidential Learning
  12. Rule by Rule: Learning with Confidence through Vocabulary Expansion
  13. IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking
  14. NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery
  15. Generative forecasting of brain activity enhances Alzheimer's classification and interpretation
  16. Tiny Transformers Excel at Sentence Compression
  17. The Belief State Transformer
  18. Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices
  19. All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
  20. Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems
  21. DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
  22. Causality-Driven Audits of Model Robustness
  23. PACER: Preference-conditioned All-terrain Costmap Generation
  24. Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System
  25. Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization
  26. Collage: Decomposable Rapid Prototyping for Information Extraction on Scientific PDFs
  27. Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
  28. Koopman-informed recurrent neural networks
  29. MDCure: A Scalable Pipeline for Multi-Document Instruction-Following
  30. Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
  31. Graph-Augmented Relation Extraction Model with LLMs-Generated Support Document
  32. Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints
  33. Venire: A Machine Learning-Guided Panel Review System for Community Content Moderation
  34. The Sample Complexity of Learning Lipschitz Operators with respect to Gaussian Measures
  35. Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
  36. Assessing Concordance between RNA-Seq and NanoString Technologies in Ebola-Infected Nonhuman Primates Using Machine Learning
  37. Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?
  38. Communication-Efficient Federated Learning over Wireless Channels via Gradient Sketching
  39. Dynamic Information Sub-Selection for Decision Support
  40. EchoFM: Foundation Model for Generalizable Echocardiogram Analysis
  41. BAMITA: Bayesian Multiple Imputation for Tensor Arrays
  42. TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes
  43. On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
  44. Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
  45. Ensemble learning of the atrial fiber orientation with physics-informed neural networks
  46. STIED: A deep learning model for the SpatioTemporal detection of focal Interictal Epileptiform Discharges with MEG
  47. Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
  48. Non-binary artificial neuron with phase variation implemented on a quantum computer
  49. Leveraging Language Models and Bandit Algorithms to Drive Adoption of Battery-Electric Vehicles
  50. NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation
  51. Tightening convex relaxations of trained neural networks: a unified approach for convex and S-shaped activations
  52. Domain-decomposed image classification algorithms using linear discriminant analysis and convolutional neural networks
  53. Random Heterogeneous Neurochaos Learning Architecture for Data Classification
  54. ASURA-FDPS-ML: Star-by-star Galaxy Simulations Accelerated by Surrogate Modeling for Supernova Feedback
  55. Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists
  56. Variable Resolution Sampling and Deep Learning Image Recovery for Accelerated Multi-Spectral MRI Near Metal Implants
  57. Deep learning meets tree phenology modeling: PhenoFormer vs. process-based models
  58. MassSpecGym: A benchmark for the discovery and identification of molecules
  59. Transfer Learning in Vocal Education: Technical Evaluation of Limited Samples Describing Mezzo-soprano
  60. Phonology-Guided Speech-to-Speech Translation for African Languages
  61. Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps
  62. Lina-Speech: Gated Linear Attention and Initial-State Tuning for Multi-Sample Prompting Text-To-Speech Synthesis
  63. Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards
  64. ReferEverything: Towards Segmenting Everything We Can Speak of in Videos
  65. Learning Marmoset Vocal Patterns with a Masked Autoencoder for Robust Call Segmentation, Classification, and Caller Identification
  66. OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction
  67. SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation
  68. Conditional Forecasting of Margin Calls using Dynamic Graph Neural Networks
  69. Proportional Fairness in Non-Centroid Clustering
  70. A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction
  71. 100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
  72. bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction
  73. Progression: an extrapolation principle for regression
  74. PointRecon: Online Point-based 3D Reconstruction via Ray-based 2D-3D Matching
  75. Very fast Bayesian Additive Regression Trees on GPU
  76. Full-waveform earthquake source inversion using simulation-based inference
  77. EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning
  78. LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAM
  79. Aligning Audio-Visual Joint Representations with an Agentic Workflow
  80. Emergence of meta-stable clustering in mean-field transformer models
  81. (FL)2: Overcoming Few Labels in Federated Semi-Supervised Learning
  82. Dataset-Driven Channel Masks in Transformers for Multivariate Time Series
  83. DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET
  84. Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
  85. ELMGS: Enhancing memory and computation scaLability through coMpression for 3D Gaussian Splatting
  86. Improved convergence rate of kNN graph Laplacians: differentiable self-tuned affinity
  87. Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
  88. HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
  89. Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
  90. Reliability of Topic Modeling
  91. ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
  92. Does equivariance matter at scale?
  93. Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry
  94. Functional Gradient Flows for Constrained Sampling
  95. The Persistence of Neural Collapse Despite Low-Rank Bias
  96. TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
  97. SciPIP: An LLM-based Scientific Paper Idea Proposer
  98. FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
  99. Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
  100. Monotonic anomaly detection
  101. QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
  102. Nested ResNet: A Vision-Based Method for Detecting the Sensing Area of a Drop-in Gamma Probe
  103. When can classical neural networks represent quantum states?
  104. Navigating in High-Dimensional Search Space: A Hierarchical Bayesian Optimization Approach
  105. FoLDTree: A ULDA-Based Decision Tree Framework for Efficient Oblique Splits and Feature Selection
  106. Public Domain 12M: A Highly Aesthetic Image-Text Dataset with Novel Governance Mechanisms
  107. The Good, the Bad, and the Ugly: The Role of AI Quality Disclosure in Lie Detection
  108. FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
  109. Fair Division with Market Values
  110. Crowdsourcing Lexical Diversity
  111. Revisiting MAE pre-training for 3D medical image segmentation
  112. Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
  113. Compositional Segmentation of Cardiac Images Leveraging Metadata
  114. Why Fine-grained Labels in Pretraining Benefit Generalization?
  115. Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
  116. Teaching a Language Model to Distinguish Between Similar Details using a Small Adversarial Training Set
  117. Exploring Gradient Subspaces: Addressing and Overcoming LoRA's Limitations in Federated Fine-Tuning of Large Language Models
  118. NASM: Neural Anisotropic Surface Meshing
  119. Controllable Game Level Generation: Assessing the Effect of Negative Examples in GAN Models
  120. Decoupling Semantic Similarity from Spatial Alignment for Neural Networks
  121. Automated Image-Based Identification and Consistent Classification of Fire Patterns with Quantitative Shape Analysis and Spatial Location Identification
  122. Guided Game Level Repair via Explainable AI
  123. Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning
  124. First Place Solution to the ECCV 2024 ROAD++ Challenge @ ROAD++ Atomic Activity Recognition 2024
  125. Statistical-Computational Trade-offs for Density Estimation
  126. S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
  127. AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives
  128. An Event-Based Digital Compute-In-Memory Accelerator with Flexible Operand Resolution and Layer-Wise Weight/Output Stationarity
  129. First Place Solution to the ECCV 2024 ROAD++ Challenge @ ROAD++ Spatiotemporal Agent Detection 2024
  130. Multi-Programming Language Sandbox for LLMs
  131. RSNet: A Light Framework for The Detection of SAR Ship Detection
  132. CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models
  133. LLMs Integration in Software Engineering Team Projects: Roles, Impact, and a Pedagogical Design Space for AI Tools in Computing Education
  134. Don't Pay Attention, PLANT It: Pretraining Attention via Learning-to-Rank
  135. Legitimate ground-truth-free metrics for deep uncertainty classification scoring
  136. Toward Understanding In-context vs. In-weight Learning
  137. Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping
  138. Risk-Aware Decision Making in Restless Bandits: Theory and Algorithms for Planning and Learning
  139. DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes
  140. Scoring Rules and Calibration for Imprecise Probabilities
  141. A Comparison of Prompt Engineering Techniques for Task Planning and Execution in Service Robotics
  142. Semantic Enrichment of the Quantum Cascade Laser Properties in Text- A Knowledge Graph Generation Approach
  143. Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement
  144. V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario
  145. Higher-order Cross-structural Embedding Model for Time Series Analysis
  146. Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering
  147. PDSR: Efficient UAV Deployment for Swift and Accurate Post-Disaster Search and Rescue
  148. DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
  149. LumiSculpt: Enabling Consistent Portrait Lighting in Video Generation
  150. Graph Integration for Diffusion-Based Manifold Alignment
  151. Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and Resolution
  152. Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector
  153. Scalable Sampling for High Utility Patterns
  154. A Study of Secure Algorithms for Vertical Federated Learning: Take Secure Logistic Regression as an Example
  155. EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
  156. Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
  157. SpiroActive: Active Learning for Efficient Data Acquisition for Spirometry
  158. MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
  159. ELBOing Stein: Variational Bayes with Stein Mixture Inference
  160. KALAM: toolKit for Automating high-Level synthesis of Analog computing systeMs
  161. Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
  162. AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection
  163. Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers
  164. Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder
  165. An Individual Identity-Driven Framework for Animal Re-Identification
  166. BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios
  167. High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer
  168. Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games
  169. CopRA: A Progressive LoRA Training Strategy
  170. UniRiT: Towards Few-Shot Non-Rigid Point Cloud Registration
  171. Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents
  172. From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes
  173. Wormhole Loss for Partial Shape Matching
  174. YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems
  175. Combining psychoanalysis and computer science: an empirical study of the relationship between emotions and the Lacanian discourses
  176. Generalization Bounds via Conditional f-Information
  177. Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies
  178. Dataset Awareness is not Enough: Implementing Sample-level Tail Encouragement in Long-tailed Self-supervised Learning
  179. SFA-UNet: More Attention to Multi-Scale Contrast and Contextual Information in Infrared Small Object Segmentation
  180. Data subsampling for Poisson regression with pth-root-link
  181. Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions
  182. Towards Population Scale Testis Volume Segmentation in DIXON MRI
  183. Prune and Repaint: Content-Aware Image Retargeting for any Ratio
  184. AtGCN: A Graph Convolutional Network For Ataxic Gait Detection
  185. DAVINCI: A Single-Stage Architecture for Constrained CAD Sketch Inference
  186. Hyperparameter Optimization in Machine Learning
  187. Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear array
  188. Danoliteracy of Generative Large Language Models
  189. SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network for Infrared and Visible Image Fusion
  190. Situational Scene Graph for Structured Human-centric Situation Understanding
  191. How Well Do Large Language Models Disambiguate Swedish Words?
  192. EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
  193. Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis
  194. Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients
  195. Universality of the π2/6 Pathway in Avoiding Model Collapse
  196. Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
  197. MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
  198. Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising
  199. DOA-Aware Audio-Visual Self-Supervised Learning for Sound Event Localization and Detection
  200. Wavelet Burst Accumulation for turbulence mitigation
  201. Machine Learning Nonadiabatic Dynamics: Eliminating Phase Freedom of Nonadiabatic Couplings with the State-Intraction State-Averaged Spin-Restricted Ensemble-Referenced Kohn-Sham Approach
  202. Solving Differential Equations with Constrained Learning
  203. Open Turbulent Image Set (OTIS)
  204. Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation
  205. Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
  206. Contrastive Learning and Adversarial Disentanglement for Privacy-Aware Task-Oriented Semantic Communication
  207. MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning
  208. Bregman implementation of Meyer's G-norm for cartoon + textures decomposition
  209. Unfolding Target Detection with State Space Model
  210. Reliability Assessment of Information Sources Based on Random Permutation Set
  211. FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
  212. Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
  213. An Overview of Causal Inference using Kernel Embeddings
  214. Understanding Aggregations of Proper Learners in Multiclass Classification
  215. Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets
  216. Designing AI Personalities: Enhancing Human-Agent Interaction Through Thoughtful Persona Design
  217. MIXAD: Memory-Induced Explainable Time Series Anomaly Detection
  218. ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
  219. Extensional Properties of Recurrent Neural Networks
  220. Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
  221. Enhancing binary classification: A new stacking method via leveraging computational geometry
  222. Community search signatures as foundation features for human-centered geospatial modeling
  223. SCRREAM : SCan, Register, REnder And Map:A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark
  224. LoFLAT: Local Feature Matching using Focused Linear Attention Transformer
  225. FilterViT and DropoutViT
  226. Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images
  227. Exactly Minimax-Optimal Locally Differentially Private Sampling
  228. An Iterative Algorithm for Regularized Non-negative Matrix Factorizations
  229. MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs
  230. Permutation Invariant Learning with High-Dimensional Particle Filters
  231. Choice Between Partial Trajectories: Disentangling Goals from Beliefs
  232. Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
  233. Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations
  234. Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols
  235. Practical and Accurate Reconstruction of an Illuminant's Spectral Power Distribution for Inverse Rendering Pipelines
  236. Is Function Similarity Over-Engineered? Building a Benchmark
  237. Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules
  238. A Walsh Hadamard Derived Linear Vector Symbolic Architecture
  239. Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers
  240. Linguistics Theory Meets LLM: Code-Switched Text Generation via Equivalence Constrained Large Language Models
  241. Tilted Sharpness-Aware Minimization
  242. FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution
  243. FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation
  244. WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting
  245. SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset
  246. SleepNetZero: Zero-Burden Zero-Shot Reliable Sleep Staging With Neural Networks Based on Ballistocardiograms
  247. Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
  248. Unbiased Regression Loss for DETRs
  249. DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
  250. CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation
  251. Symbolic Graph Inference for Compound Scene Understanding
  252. PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation
  253. PARDON: Privacy-Aware and Robust Federated Domain Generalization
  254. Efficient Feature Extraction and Classification Architecture for MRI-Based Brain Tumor Detection and Localization
  255. CoGS: Model Agnostic Causality Constrained Counterfactual Explanations using goal-directed ASP