mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 26 Oct 2024

140 papers

  1. NeoPhysIx: An Ultra Fast 3D Physical Simulator as Development Tool for AI AlgorithmsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  2. MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image GenerationDiffusion models → Inverse problems and image restoration
  3. SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative RefinementLLM agents and tool use → Software engineering coding agents
  4. MarDini: Masked Autoregressive Diffusion for Video Generation at ScaleDiffusion models → Video generation
  5. Library Learning Doesn't: The Curious Case of the Single-Use "Library"LLM reasoning → Mathematical reasoning
  6. You Never Know: Quantization Induces Inconsistent Biases in Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  7. Equivariant Blurring Diffusion for Hierarchical Molecular Conformer GenerationDiffusion models → Flow matching, time series and science
  8. Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RLDeep reinforcement learning methods → RL for robot locomotion and manipulation
  9. Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoningLLM reasoning → Multimodal reasoning +1
  10. An Efficient Watermarking Method for Latent Diffusion Models via Low-Rank Adaptation and Dynamic Loss WeightingDiffusion models → Robustness, privacy and adversarial aspects +1
  11. Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
  12. Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  13. Uncertainty-Penalized Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  14. Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement LearningDiffusion models → Robustness, privacy and adversarial aspects +1
  15. LLMs Can Evolve Continually on Modality for X-Modal ReasoningLLM reasoning → Multimodal reasoning +1
  16. Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  17. Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced diffusion modelDiffusion models → Medical imaging and segmentation
  18. Prompt Diffusion Robustifies Any-Modality Prompt LearningDiffusion models → Image generation, text-to-image and editing
  19. Your Image is Secretly the Last Frame of a Pseudo VideoDiffusion models → Video generation
  20. Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion ModelsDiffusion models → Video generation
  21. AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  22. GFlowNet Fine-tuning for Diverse Correct Solutions in Mathematical Reasoning TasksLLM reasoning → Mathematical reasoning
  23. Mask-based Membership Inference Attacks for Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG +1
  24. MAD-Sherlock: Multi-Agent Debate for Visual Misinformation DetectionLLM agents and tool use → Web, search, and research agents
  25. CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based PurificationLLM safety and security → Backdoor and data poisoning attacks
  26. GiVE: Guiding Visual Encoder to Perceive Overlooked InformationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  27. Velocity-History-Based Soft Actor-Critic Tackling IROS'24 Competition "AI Olympics with RealAIGym"Deep reinforcement learning methods → RL theory and sample complexity
  28. OGBench: Benchmarking Offline Goal-Conditioned RLOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
  29. RARe: Retrieval Augmented Retrieval with In-Context ExamplesRetrieval-augmented generation → Generation and context integration
  30. UniVST: A Unified Framework for Training-free Localized Video Style TransferDiffusion models → Image generation, text-to-image and editing
  31. Almost Sure Convergence of Networked Policy Gradient over Time-Varying Networks in Markov Potential GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
  32. Pixel super-resolved virtual staining of label-free tissue using diffusion modelsDiffusion models → Medical imaging and segmentation
  33. Multi-Field Adaptive RetrievalRetrieval-augmented generation → RAG pipeline design and evaluation
  34. SCube: Instant Large-Scale Scene Reconstruction using VoxSplatsDiffusion models → 3D, point cloud and scene generation
  35. Agentic Feedback Loop Modeling Improves Recommendation and User SimulationLLM agents and tool use → Agentic recommender systems
  36. Dynamic layer selection in decoder-only transformersEfficient LLM inference and serving → Early exit and edge inference
  37. Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual SummarizationLLM reasoning → Reasoning benchmarks and evaluation
  38. Attacks against Abstractive Text Summarization Models through Lead Bias and Influence FunctionsLLM safety and security → Backdoor and data poisoning attacks
  39. GHIL-Glue: Hierarchical Control with Filtered Subgoal ImagesDeep reinforcement learning methods → RL for robot locomotion and manipulation
  40. Enhancing Lie Detection Accuracy: A Comparative Study of Classic ML, CNN, and GCN Models using Audio-Visual Features
  41. Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play
  42. KisanQRS: A Deep Learning-based Automated Query-Response System for Agricultural Decision-Making
  43. A Novel Multimodal System to Predict Agitation in People with Dementia Within Clinical Settings: A Proof of Concept
  44. SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
  45. A Genetic Algorithm for Multi-Capacity Fixed-Charge Flow Network Design
  46. Towards Probabilistic Planning of Explanations for Robot Navigation
  47. Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation
  48. Securing Healthcare with Deep Learning: A CNN-Based Model for medical IoT Threat Detection
  49. Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction
  50. Mathematical Derivation Graphs: A Relation Extraction Task in STEM Manuscripts
  51. Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection
  52. User-Aware Multilingual Abusive Content Detection in Social Media
  53. Towards Continuous Skin Sympathetic Nerve Activity Monitoring: Removing Muscle Noise
  54. Multi-path Exploration and Feedback Adjustment for Text-to-Image Person Retrieval
  55. MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
  56. Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading
  57. A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases
  58. Fast Best-of-N Decoding via Speculative Rejection
  59. On the Gaussian process limit of Bayesian Additive Regression Trees
  60. AI-Driven Cyber Threat Intelligence Automation
  61. Classification under strategic adversary manipulation using pessimistic bilevel optimisation
  62. Proactive Fraud Defense: Machine Learning's Evolving Role in Protecting Against Online Fraud
  63. Centaur: a foundation model of human cognition
  64. Learning Maximal Safe Sets Using Hypernetworks for MPC-based Local Trajectory Planning in Unknown Environments
  65. EfficientEQA: An Efficient Approach to Open-Vocabulary Embodied Question Answering
  66. Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
  67. Convergence Guarantees for the DeepWalk Embedding on Block Models
  68. Model Equality Testing: Which Model Is This API Serving?
  69. Improving Model Evaluation using SMART Filtering of Benchmark Datasets
  70. Hoeffding adaptive trees for multi-label classification on data streams
  71. A Survey of Large Language Models for Arabic Language and its Dialects
  72. Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search
  73. SAFE setup for generative molecular design
  74. CAVE-Net: Classifying Abnormalities in Video Capsule Endoscopy
  75. Modelling of Economic Implications of Bias in AI-Powered Health Emergency Response Systems
  76. Recursive Function Definitions in Static Dataflow Graphs and their Implementation in TensorFlow
  77. Ambiguity is the last thing you need
  78. Generative linguistics contribution to artificial intelligence: Where this contribution lies?
  79. Neural Fields in Robotics: A Survey
  80. Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
  81. DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
  82. Looking Beyond The Top-1: Transformers Determine Top Tokens In Order
  83. Revisiting Differential Verification: Equivalence Verification with Confidence
  84. Generative AI in Health Economics and Outcomes Research: A Taxonomy of Key Definitions and Emerging Applications, an ISPOR Working Group Report
  85. Physics-informed Shadowgraph Network: An End-to-end Density Field Reconstruction Method
  86. Enhancing Inflation Nowcasting with LLM: Sentiment Analysis on News
  87. Transferable Adversarial Attacks on SAM and Its Downstream Models
  88. Chemical Language Model Linker: blending text and molecules with modular adapters
  89. A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation
  90. Alternatives of Unsupervised Representations of Variables on the Latent Space
  91. Image Generation from Image Captioning -- Invertible Approach
  92. Cyberbullying or just Sarcasm? Unmasking Coordinated Networks on Reddit
  93. Infectious Disease Forecasting in India using LLM's and Deep Learning
  94. DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting
  95. UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers
  96. Causal Abstraction in Model Interpretability: A Compact Survey
  97. Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation
  98. The inexact power augmented Lagrangian method for constrained nonconvex optimization
  99. Exploring Welfare Maximization and Fairness in Participatory Budgeting
  100. FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation
All 140
  1. Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
  2. On-Site Precise Screening of SARS-CoV-2 Systems Using a Channel-Wise Attention-Based PLS-1D-CNN Model with Limited Infrared Signatures
  3. Semantic Feature Decomposition based Semantic Communication System of Images with Large-scale Visual Generation Models
  4. On Multi-Stage Loss Dynamics in Neural Networks: Mechanisms of Plateau and Descent Stages
  5. GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction
  6. Estuary: A Framework For Building Multimodal Low-Latency Real-Time Socially Interactive Agents
  7. ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems
  8. Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations
  9. FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
  10. Hybrid Deep Learning for Legal Text Analysis: Predicting Punishment Durations in Indonesian Court Rulings
  11. Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs
  12. Latent Neural Operator Pretraining for Solving Time-Dependent PDEs
  13. Self-Normalized Resets for Plasticity in Continual Learning
  14. Generative Adversarial Patches for Physical Attacks on Cross-Modal Pedestrian Re-Identification
  15. Sample Efficient Bayesian Learning of Causal Graphs from Interventions
  16. emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
  17. Optimizing Keyphrase Ranking for Relevance and Diversity Using Submodular Function Optimization (SFO)
  18. SFTrack: A Robust Scale and Motion Adaptive Algorithm for Tracking Small and Fast Moving Objects
  19. CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
  20. Understanding the Effect of GCN Convolutions in Regression Tasks
  21. A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures
  22. Transforming Precision: A Comparative Analysis of Vision Transformers, CNNs, and Traditional ML for Knee Osteoarthritis Severity Diagnosis
  23. Deep Concept Identification for Generative Design
  24. Mechanism Learning: reverse causal inference in the presence of multiple unknown confounding through causally weighted Gaussian mixture models
  25. 3D Distance-color-coded Assessment of PCI Stent Apposition via Deep-learning-based Three-dimensional Multi-object Segmentation
  26. Evaluating Neural Networks for Early Maritime Threat Detection
  27. LinBridge: A Learnable Framework for Interpreting Nonlinear Neural Encoding Models
  28. AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
  29. ResAD: A Simple Framework for Class Generalizable Anomaly Detection
  30. DQRM: Deep Quantized Recommendation Models
  31. Sparse Linear Bandits with Blocking Constraints
  32. Revisiting PlayeRank
  33. Roles of LLMs in the Overall Mental Architecture
  34. Architectural Flaw Detection in Civil Engineering Using GPT-4
  35. Training the Untrainable: Introducing Inductive Bias via Representational Alignment
  36. Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors
  37. Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin Representation
  38. Beyond Fine-Tuning: Effective Strategies for Mitigating Hallucinations in Large Language Models for Data Analytics
  39. Off-Policy Selection for Initiating Human-Centric Experimental Design
  40. Vulnerability of LLMs to Vertically Aligned Text Manipulations