mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 29 Oct 2024

359 papers

  1. Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection LayersState-space sequence models (S4, Mamba) → Core SSM architectures for language
  2. FinVision: A Multi-Agent Framework for Stock Market PredictionLLM agents and tool use → Financial trading and forecasting agents
  3. GraphAide: Advanced Graph-Assisted Query and Reasoning SystemLLM reasoning → Knowledge- and tool-augmented reasoning
  4. DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language ModelsLLM reasoning → Multimodal reasoning +1
  5. Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible DataMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  6. IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using ThemselvesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  7. Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  8. Harnessing the Synergy between LLM Agents and Knowledge Graphs for Urban Socioeconomic PredictionLLM agents and tool use → Web, search, and research agents
  9. Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI imagesDiffusion models → Medical imaging and segmentation
  10. Denoising Diffusion Probabilistic Models for Magnetic Resonance FingerprintingDiffusion models → Medical imaging and segmentation
  11. VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference AccelerationMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  12. Solving Minimum-Cost Reach Avoid using Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  13. Are Large-Language Models Graph Algorithmic Reasoners?LLM reasoning → Knowledge- and tool-augmented reasoning
  14. Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
  15. BenchAgents: Multi-Agent Systems for Structured Benchmark CreationLLM agents and tool use → General LLM agent frameworks and benchmarks
  16. Flow Matching for Posterior Inference with Simulator FeedbackDiffusion models → Flow matching, time series and science
  17. Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web AgentsLLM agents and tool use → Web, search, and research agents
  18. Hindsight Experience Replay Accelerates Proximal Policy OptimizationDeep reinforcement learning methods → Deep RL algorithms and representations
  19. RealCQA-V2: A Diagnostic Benchmark for Structured Visual Entailment over Scientific ChartsLLM reasoning → Multimodal reasoning
  20. Scaling LLM Inference with Optimized Sample Compute AllocationLLM reasoning → Test-time compute and efficient thinking
  21. Predicting Future Actions of Reinforcement Learning AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
  22. Advancing Agentic Systems: Dynamic Task Decomposition, Tool Integration and Evaluation using Novel Metrics and DatasetLLM agents and tool use → General LLM agent frameworks and benchmarks
  23. Image2Struct: Benchmarking Structure Extraction for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  24. Embedding Watermarks in Diffusion Process for Model Intellectual Property ProtectionDiffusion models → Robustness, privacy and adversarial aspects +1
  25. A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics TasksDeep reinforcement learning methods → Deep RL algorithms and representations
  26. Discrete Modeling via Boundary Conditional Diffusion ProcessesDiffusion models → Discrete and text diffusion
  27. Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM GuidanceDiffusion models → Image generation, text-to-image and editing
  28. Rethinking Code Refinement: Learning to Judge Code EfficiencyLLM reasoning → Reasoning for agents, planning and code
  29. Machine Unlearning using Forgetting Neural NetworksLLM safety and security → Machine unlearning
  30. A Hierarchical Language Model For Interpretable Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  31. Vision-Language Models Create Cross-Modal Task RepresentationsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  32. Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic ClassifierMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  33. Understanding Synthetic Context Extension via Retrieval HeadsRetrieval-augmented generation → Generation and context integration
  34. Natural Language Inference Improves Compositionality in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  35. Senna: Bridging Large Vision-Language Models and End-to-End Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  36. Environment as Policy: Learning to Race in Unseen TracksDeep reinforcement learning methods → RL for robot navigation and UAV control
  37. Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent LearningLLM reasoning → Reasoning for agents, planning and code +2
  38. Embedding-based classifiers can detect prompt injection attacksLLM safety and security → Prompt injection and agent security
  39. Fourier Head: Helping Large Language Models Learn Complex Probability DistributionsOffline RL and imitation learning from data → Decision transformers and sequence modeling
  40. Democratizing Reward Design for Personal and Representative Value-AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  41. ADAM: An Embodied Causal Agent in Open-World EnvironmentsLLM agents and tool use → Reinforcement learning for LLM agents
  42. Active Learning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  43. Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image DatasetsKnowledge distillation → General knowledge distillation methods
  44. Synthetic Data Generation with Large Language Models for Personalized Community Question AnsweringSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  45. EconoJax: A Fast & Scalable Economic Simulation in JaxDeep reinforcement learning methods → Adversarial robustness and RL in finance
  46. Benchmarking LLM Guardrails in Handling Multilingual ToxicityLLM safety and security → Safety alignment, refusal and guardrails
  47. Standardization Trends on Safety and Trustworthiness Technology for Advanced AILLM reasoning → Reasoning for agents, planning and code
  48. Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  49. AmpleGCG-Plus: A Strong Generative Model of Adversarial Suffixes to Jailbreak LLMs with Higher Success Rates in Fewer AttemptsLLM safety and security → Jailbreaking
  50. ProMoE: Fast MoE-based LLM Serving using Proactive CachingMixture-of-experts → Efficient MoE training and inference systems +1
  51. Learning Successor Features the Simple WayDeep reinforcement learning methods → Deep RL algorithms and representations
  52. Improving Performance of Commercially Available AI Products in a Multi-Agent ConfigurationLLM agents and tool use → Software engineering coding agents
  53. The Impact of Inference Acceleration on Bias of LLMsEfficient LLM inference and serving → Serving systems and request scheduling
  54. Policy Gradient for Robust Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
  55. Protecting Privacy in Multimodal Large Language Models with MLLMU-BenchMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  56. PC-Gym: Benchmark Environments For Process Control ProblemsDeep reinforcement learning methods → RL for energy, networks and operations
  57. Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rateLLM safety and security → Machine unlearning
  58. Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  59. Variational inference for pile-up removal at hadron colliders with diffusion modelsDiffusion models → Flow matching, time series and science
  60. PACA: Perspective-Aware Cross-Attention Representation for Zero-Shot Scene RearrangementDiffusion models → 3D, point cloud and scene generation
  61. An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological CounselingLLM agents and tool use → Medical and scientific domain agents
  62. Are VLMs Really BlindLLM reasoning → Multimodal reasoning +1
  63. Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
  64. BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-RaysMultimodal LLMs / vision-language models → Medical vision-language models
  65. Dual Conditional Diffusion Models for Sequential RecommendationDiffusion models → Diffusion recommenders
  66. PrefPaint: Aligning Image Inpainting Diffusion Model with Human PreferenceDiffusion models → Diffusion and flow policies for robotics +1
  67. SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt TypesLLM safety and security → Safety alignment, refusal and guardrails
  68. Fast and High-Quality Auto-Regressive Speech Synthesis via Speculative DecodingEfficient LLM inference and serving → Speculative decoding
  69. Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsRetrieval-augmented generation → Multimodal RAG
  70. Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated EvolutionDeep reinforcement learning methods → Interpretable and logic-guided RL
  71. CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion ApproachDiffusion models → Medical imaging and segmentation
  72. SceneGenAgent: Precise Industrial Scene Generation with Coding AgentLLM agents and tool use → Multimodal and embodied agents
  73. Guided Diffusion-based Counterfactual Augmentation for Robust Session-based RecommendationDiffusion models → Diffusion recommenders
  74. Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer LearningState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  75. Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  76. Diffusion as Reasoning: Enhancing Object Navigation via Diffusion Model Conditioned on LLM-based Object-Room KnowledgeLLM reasoning → Spatial and embodied reasoning +1
  77. Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical ImagesDiffusion models → Medical imaging and segmentation
  78. Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box TransformersMechanistic interpretability → Circuits and mechanistic analysis
  79. Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model MergingMixture-of-experts → Mixture of LoRA experts
  80. Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  81. PerSRV: Personalized Sticker Retrieval with Vision-Language ModelMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  82. Robot Policy Learning with Temporal Optimal Transport RewardDeep reinforcement learning methods → RL for robot locomotion and manipulation
  83. Enhancing Adversarial Attacks through Chain of ThoughtLLM reasoning → Reasoning for agents, planning and code
  84. HairDiffusion: Vivid Multi-Colored Hair Editing via Latent DiffusionDiffusion models → 3D, point cloud and scene generation
  85. MARCO: Multi-Agent Real-time Chat OrchestrationLLM agents and tool use → General LLM agent frameworks and benchmarks +1
  86. Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic ApproachLLM reasoning → Reasoning benchmarks and evaluation
  87. IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  88. Learning and Unlearning of Fabricated Knowledge in Language ModelsLLM safety and security → Machine unlearning
  89. Enhancing Financial Question Answering with a Multi-Agent Reflection FrameworkLLM agents and tool use → Financial trading and forecasting agents
  90. Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
  91. DiffSTR: Controlled Diffusion Models for Scene Text RemovalDiffusion models → Inverse problems and image restoration
  92. Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic SegmentationDiffusion models → Medical imaging and segmentation
  93. Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose TheoremDeep reinforcement learning methods → RL theory and sample complexity
  94. Investigating Memorization in Video Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  95. Exploring Local Memorization in Diffusion Models via Bright Ending AttentionDiffusion models → Diffusion foundations and sampling
  96. f-PO: Generalizing Preference Optimization with f-divergence MinimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  97. Neural Experts: Mixture of Experts for Implicit Neural RepresentationsMixture-of-experts → Vision mixture-of-experts
  98. RDSinger: Reference-based Diffusion Network for Singing Voice SynthesisDiffusion models → Audio, speech and music
  99. Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image SynthesisDiffusion models → Image generation, text-to-image and editing
  100. Robust Graph Neural Networks for Stability Analysis in Dynamic Networks
All 359
  1. A Message Passing Neural Network Surrogate Model for Bond-Associated Peridynamic Material Correspondence Formulation
  2. Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses
  3. Assessing the Auditability of AI-integrating Systems: A Framework and Learning Analytics Case Study
  4. Turkey's Earthquakes: Damage Prediction and Feature Significance Using A Multivariate Analysis
  5. SoccerGuard: Investigating Injury Risk Factors for Professional Soccer Players with Machine Learning
  6. RNA-GPT: Multimodal Generative System for RNA Sequence Understanding
  7. Comment on Is Complexity an Illusion?
  8. Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin empowered LEO Satellite Networks
  9. SkipSNN: Efficiently Classifying Spike Trains with Event-attention
  10. Variational Bayes Decomposition for Inverse Estimation with Superimposed Multispectral Intensity
  11. Multimodal Quantum Natural Language Processing: A Novel Framework for using Quantum Methods to Analyse Real Data
  12. Generative AI Enabled Matching for 6G Multiple Access
  13. Towards evaluations-based safety cases for AI scheming
  14. Decoupled Data Augmentation for Improving Image Classification
  15. A Big Data-empowered System for Real-time Detection of Regional Discriminatory Comments on Vietnamese Social Media
  16. Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes
  17. CausAdv: A Causal-based Framework for Detecting Adversarial Examples
  18. Task-Oriented Real-time Visual Inference for IoVT Systems: A Co-design Framework of Neural Networks and Edge Deployment
  19. Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks
  20. Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
  21. Yoga Pose Classification Using Transfer Learning
  22. Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images
  23. Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity
  24. Unsupervised Training of a Dynamic Context-Aware Deep Denoising Framework for Low-Dose Fluoroscopic Imaging
  25. Uncertainty Quantification via H"older Divergence for Multi-View Representation Learning
  26. Leaving Some Facial Features Behind
  27. Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models
  28. EEG-based Multimodal Representation Learning for Emotion Recognition
  29. CurateGPT: A flexible language-model assisted biocuration tool
  30. A Novel Psychometrics-Based Approach to Developing Professional Competency Benchmark for Large Language Models
  31. MIMIC-IV-Ext-PE: Using a large language model to predict pulmonary embolism phenotype in the MIMIC-IV dataset
  32. Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoring
  33. NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering
  34. P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
  35. Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models
  36. Topic-Conversation Relevance (TCR) Dataset and Benchmarks
  37. Coupling quantum-like cognition with the neuronal networks within generalized probability theory
  38. Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot
  39. A Theoretical Review on Solving Algebra Problems
  40. WikiNER-fr-gold: A Gold-Standard NER Corpus
  41. Personalization of Large Language Models: A Survey
  42. Hybrid model of the kernel method for quantum computers
  43. Improving Image Data Leakage Detection in Automotive Software
  44. Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
  45. Gaussian Derivative Change-point Detection for Early Warnings of Industrial System Failures
  46. GRADE: Quantifying Sample Diversity in Text-to-Image Models
  47. FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness
  48. Characterizing the Role of Similarity in the Property Inferences of Language Models
  49. Toxicity of the Commons: Curating Open-Source Pre-Training Data
  50. Energy-Aware Multi-Agent Reinforcement Learning for Collaborative Execution in Mission-Oriented Drone Networks
  51. Inference in Partially Linear Models under Dependent Data with Deep Neural Networks
  52. Orb: A Fast, Scalable Neural Network Potential
  53. Fast Deep Hedging with Second-Order Optimization
  54. Deep Priors for Video Quality Prediction
  55. Vertical Federated Learning with Missing Features During Training and Inference
  56. Disentanglement as Identifiable Pushforward Factorisation
  57. Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced Manufacturing Process Monitoring
  58. Remote Sensing for Weed Detection and Control
  59. ML Research Benchmark
  60. FairSkin: Fair Diffusion for Skin Disease Image Generation
  61. Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI
  62. Towards Neural-Network-based optical temperature sensing of Semiconductor Membrane External Cavity Laser
  63. From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems
  64. Multimodal Structure Preservation Learning
  65. Evaluating utility in synthetic banking microdata applications
  66. Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
  67. AffectNet+: A Database for Enhancing Facial Expression Recognition with Soft-Labels
  68. Anticipating Future with Large Language Model for Simultaneous Machine Translation
  69. Unlocking Point Processes through Point Set Diffusion
  70. The PV-ALE Dataset: Enhancing Apple Leaf Disease Classification Through Transfer Learning with Convolutional Neural Networks
  71. Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
  72. Privacy-Preserving Dynamic Assortment Selection
  73. Bayesian Counterfactual Prediction Models for HIV Care Retention with Incomplete Outcome and Covariate Information
  74. A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
  75. Ethical Statistical Practice and Ethical AI
  76. Learning Identifiable Factorized Causal Representations of Cellular Responses
  77. Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
  78. Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease
  79. Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2
  80. Addressing Issues with Working Memory in Video Object Segmentation
  81. A Closer Look at Neural Codec Resynthesis: Bridging the Gap between Codec and Waveform Generation
  82. Do Large Language Models Align with Core Mental Health Counseling Competencies?
  83. Power side-channel leakage localization through adversarial training of deep neural networks
  84. Gradient Distance Function
  85. AAAR-1.0: Assessing AI's Potential to Assist Research
  86. Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning
  87. FNDEX: Fake News and Doxxing Detection with Explainable AI
  88. ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
  89. Exploiting Semantic Scene Reconstruction for Estimating Building Envelope Characteristics
  90. Debiasing Alternative Data for Credit Underwriting Using Causal Inference
  91. Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss
  92. A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification
  93. Analytic Continual Test-Time Adaptation for Multi-Modality Corruption
  94. Efficient Machine Translation with a BiLSTM-Attention Approach
  95. Local Policies Enable Zero-shot Long-horizon Manipulation
  96. Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets
  97. Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
  98. Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
  99. An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap Fusion
  100. Effective Guidance for Model Attention with Simple Yes-no Annotations
  101. Convex Formulations for Training Two-Layer ReLU Neural Networks
  102. SVIP: Towards Verifiable Inference of Open-source Large Language Models
  103. Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention
  104. mathsfOPA: One-shot Private Aggregation with Single Client Interaction and its Applications to Federated Learning
  105. Emotion-Guided Image to Music Generation
  106. Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
  107. Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks
  108. Batch, match, and patch: low-rank approximations for score-based variational inference
  109. Motion Graph Unleashed: A Novel Approach to Video Prediction
  110. From melodic note sequences to pitches using word2vec
  111. Leveraging Recurrent Neural Networks for Predicting Motor Movements from Primate Motor Cortex Neural Recordings
  112. Active Event Alignment for Monocular Distance Estimation
  113. Leveraging Reverberation and Visual Depth Cues for Sound Event Localization and Detection with Distance Estimation
  114. NCA-Morph: Medical Image Registration with Neural Cellular Automata
  115. Provable Meta-Learning with Low-Rank Adaptations
  116. LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers
  117. FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation
  118. Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detection
  119. Pushing the Performance Envelope of DNN-based Recommendation Systems Inference on GPUs
  120. Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
  121. Abrupt Learning in Transformers: A Case Study on Matrix Completion
  122. DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers
  123. Auditing f-Differential Privacy in One Run
  124. ContextIQ: A Multimodal Expert-Based Video Retrieval System for Contextual Advertising
  125. Accelerating Stateful Network Applications with Performance Prediction on SoC SmartNICs
  126. Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
  127. Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction
  128. MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation
  129. Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective
  130. LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues
  131. ProMQA: Question Answering Dataset for Multimodal Procedural Activity Understanding
  132. A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphs
  133. Drone Acoustic Analysis for Predicting Psychoacoustic Annoyance via Artificial Neural Networks
  134. Class-Aware Contrastive Optimization for Imbalanced Text Classification
  135. GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws
  136. rAge-k: Communication-Efficient Federated Learning Using Age Factor
  137. Natural Language Processing for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review
  138. Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech
  139. Analyzing Multimodal Interaction Strategies for LLM-Assisted Manipulation of 3D Scenes
  140. Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-processing Matters
  141. Lighten CARAFE: Dynamic Lightweight Upsampling with Guided Reassemble Kernels
  142. Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
  143. Solving Epistemic Logic Programs using Generate-and-Test with Propagation
  144. PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting
  145. RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
  146. Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act
  147. Deep Q-Exponential Processes
  148. Where Do Large Learning Rates Lead Us?
  149. Data Generation for Hardware-Friendly Post-Training Quantization
  150. DAGE: DAG Query Answering via Relational Combinator with Logical Constraints
  151. Joint Extraction and Classification of Danish Competences for Job Matching
  152. Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation Models
  153. TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds
  154. Hierarchical Structure Sharing Empowers Multi-task Heterogeneous GNNs for Customer Expansion
  155. 4D-based Robot Navigation Using Relativistic Image Processing
  156. Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence
  157. HRPVT: High-Resolution Pyramid Vision Transformer for medium and small-scale human pose estimation
  158. DINeuro: Distilling Knowledge from 2D Natural Images via Deformable Tubular Transferring Strategy for 3D Neuron Reconstruction
  159. Distinguishing Ignorance from Error in LLM Hallucinations
  160. FreeGaussian: Annotation-free Control of Articulated Objects via 3D Gaussian Splats with Flow Derivatives
  161. Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
  162. Sing it, Narrate it: Quality Musical Lyrics Translation
  163. Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
  164. FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation
  165. Benchmarking Human and Automated Prompting in the Segment Anything Model
  166. CHORDONOMICON: A Dataset of 666,000 Songs and their Chord Progressions
  167. Enhance Hyperbolic Representation Learning via Second-order Pooling
  168. Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation Network
  169. Path-based summary explanations for graph recommenders (extended version)
  170. Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
  171. On uniqueness in structured model learning
  172. A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillance
  173. A Lightweight Dual-Branch System for Weakly-Supervised Video Anomaly Detection on Consumer Edge Devices
  174. Node Regression on Latent Position Random Graphs via Local Averaging
  175. Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs
  176. A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Image Anomaly Detection
  177. Automated Vulnerability Detection Using Deep Learning Technique
  178. FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection
  179. Spatio-temporal Transformers for Action Unit Classification with Event Cameras
  180. ActiveSplat: High-Fidelity Scene Reconstruction through Active Gaussian Splatting
  181. On the Robustness of Adversarial Training Against Uncertainty Attacks
  182. Analyzing Noise Models and Advanced Filtering Algorithms for Image Enhancement
  183. HonestCyberEval: An AI Cyber Risk Benchmark for Automated Software Exploitation
  184. ReMix: Training Generalized Person Re-identification on a Mixture of Data
  185. LogSHIELD: A Graph-based Real-time Anomaly Detection Framework using Frequency Analysis
  186. Differentiable Inductive Logic Programming for Fraud Detection
  187. Reliable Semantic Understanding for Real World Zero-shot Object Goal Navigation
  188. Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1
  189. Identifiability Analysis of Linear ODE Systems with Hidden Confounders
  190. Structured Analysis and Comparison of Alphabets in Historical Handwritten Ciphers
  191. Multi-step feature fusion for natural disaster damage assessment on satellite images
  192. A Longitudinal Analysis of Racial and Gender Bias in New York Times and Fox News Images and Articles
  193. Semi-Supervised Self-Learning Enhanced Music Emotion Recognition
  194. Evaluating K-Fold Cross Validation for Transformer Based Symbolic Regression Models
  195. Bayesian Optimization for Hyperparameters Tuning in Neural Networks
  196. Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels
  197. Building Altruistic and Moral AI Agent with Brain-inspired Emotional Empathy Mechanisms
  198. SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification
  199. Cross-Entropy Is All You Need To Invert the Data Generating Process
  200. Improving In-Context Learning with Small Language Model Ensembles
  201. Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors
  202. HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning
  203. Conditional Moment Kernels: Joint Modeling of Expected Returns and Covariances in Unbalanced Panels
  204. Micro-Structures Graph-Based Point Cloud Registration for Balancing Efficiency and Accuracy
  205. Learning Infinitesimal Generators of Continuous Symmetries from Data
  206. Joint Beamforming and Speaker-Attributed ASR for Real Distant-Microphone Meeting Transcription
  207. Multi-aspect Depression Severity Assessment via Inductive Dialogue System
  208. Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion
  209. PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices
  210. Self-Preference Bias in LLM-as-a-Judge
  211. SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor Detection
  212. A Fresh Look at Generalized Category Discovery through Non-negative Matrix Factorization
  213. SimSiam Naming Game: A Unified Approach for Emergent Communication and Representation Learning
  214. Exponentially Consistent Statistical Classification of Continuous Sequences with Distribution Uncertainty
  215. Inverse Attention Agents for Multi-Agent Systems
  216. RELATE: A Modern Processing Platform for Romanian Language
  217. Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning
  218. Fast-OMRA: Fast Online Motion Resolution Adaptation for Neural B-Frame Coding
  219. DOFS: A Real-world 3D Deformable Object Dataset with Full Spatial Information for Dynamics Model Learning
  220. Memory-Efficient Point Cloud Registration via Overlapping Region Sampling
  221. Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
  222. MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding
  223. RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment
  224. EI-Nexus: Towards Unmediated and Flexible Inter-Modality Local Feature Extraction and Matching for Event-Image Data
  225. SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset
  226. Efficient Reprogramming of Memristive Crossbars for DNNs: Weight Sorting and Bit Stucking
  227. Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees
  228. Generating Realistic Tabular Data with Large Language Models
  229. A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution
  230. Sliced-Wasserstein-based Anomaly Detection and Open Dataset for Localized Critical Peak Rebates
  231. Multi-view clustering integrating anchor attribute and structural information
  232. AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
  233. Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds
  234. On the Role of Depth and Looping for In-Context Learning with Task Diversity
  235. The Effects of Multi-Task Learning on ReLU Neural Network Functions
  236. CFSafety: Comprehensive Fine-grained Safety Assessment for LLMs
  237. Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer
  238. Revisiting Reliability in Large-Scale Machine Learning Research Clusters
  239. How Does Critical Batch Size Scale in Pre-training?
  240. BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse
  241. Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review
  242. Sequential choice in ordered bundles
  243. Revisiting Multi-Granularity Representation via Group Contrastive Learning for Unsupervised Vehicle Re-identification
  244. Minimum Entropy Coupling with Bottleneck
  245. Discriminative Pedestrian Features and Gated Channel Attention for Clothes-Changing Person Re-Identification
  246. A-UTE: Advection Informed, Uncertainty Aware Temperature Emulator
  247. Dimensionality-induced information loss of outliers in deep neural networks
  248. Fingerprints of Super Resolution Networks
  249. Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'
  250. Predicting the Encoding Error of SIRENs
  251. On filter design in deep convolutional neural network
  252. A Tutorial on Clinical Speech AI Development: From Data Collection to Model Validation
  253. Investigation of moving objects through atmospheric turbulence from a non-stationary platform
  254. Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversion
  255. Learning the structure of any Hamiltonian from minimal assumptions
  256. Faster Local Solvers for Graph Diffusion Equations
  257. OFER: Occluded Face Expression Reconstruction
  258. MCPDial: A Minecraft Persona-driven Dialogue Dataset
  259. Refined Risk Bounds for Unbounded Losses via Transductive Priors