mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 29 Jul 2023

85 papers

  1. Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  2. Towards Codable Watermarking for Injecting Multi-bits Information to LLMsLLM safety and security → Watermarking generated content and models
  3. Ultrasound Image Reconstruction with Denoising Diffusion Restoration ModelsDiffusion models → Medical imaging and segmentation
  4. RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid SubjectsDiffusion models → 3D, point cloud and scene generation
  5. Instance-Wise Adaptive Tuning and Caching for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  6. Initial State Interventions for Deconfounded Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  7. Human-Like Implicit Intention Expression for Autonomous Driving Motion Planning: A Method Based on Learning Human Intention PriorsEnd-to-end autonomous driving → Cooperative and V2X driving
  8. UniBriVL: Robust Universal Representation and Generation of Audio Driven Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  9. Transport Equation based Physics Informed Neural Network to predict the Yield Strength of Architected Materials
  10. Feature Reweighting for EEG-based Motor Imagery Classification
  11. Language models as master equation solvers
  12. Evaluating the Robustness of Test Selection Methods for Deep Neural Networks
  13. Analysing the Resourcefulness of the Paragraph for Precedence Retrieval
  14. Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features
  15. Discrete neural nets and polymorphic learning
  16. Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map
  17. Monaural Multi-Speaker Speech Separation Using Efficient Transformer Model
  18. A 3D deep learning classifier and its explainability when assessing coronary artery disease
  19. Interpolation-Split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
  20. Feature Transportation Improves Graph Neural Networks
  21. Rapid Flood Inundation Forecast Using Fourier Neural Operator
  22. PD-SEG: Population Disaggregation Using Deep Segmentation Networks For Improved Built Settlement Mask
  23. EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extraction
  24. Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
  25. Iterative Graph Filtering Network for 3D Human Pose Estimation
  26. `Ir`oy`inSpeech: A multi-purpose Yor`ub'a Speech Corpus
  27. Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning
  28. HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation
  29. Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce
  30. Unveiling Exotic Magnetic Phases in Fibonacci Quasicrystalline Stacking of Ferromagnetic Layers through Machine Learning
  31. Structural restrictions in local causal discovery: identifying direct causes of a target variable
  32. Automatic Extraction of the Romanian Academic Word List: Data and Methods
  33. Developing novel ligands with enhanced binding affinity for the sphingosine 1-phosphate receptor 1 using machine learning
  34. Binary classification based Monte Carlo simulation
  35. CoVid-19 Detection leveraging Vision Transformers and Explainable AI
  36. MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
  37. LOTUS: Learning to Optimize Task-based US representations
  38. Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching
  39. Marrying Dialogue Systems with Data Visualization: Interactive Data Visualization Generation from Natural Language Conversations
  40. Enhancing Object Detection in Ancient Documents with Synthetic Data Generation and Transformer-Based Models
  41. Automated Hit-frame Detection for Badminton Match Analysis
  42. RoCar: A Relationship Network-based Evaluation Method for Large Language Models
  43. UPFL: Unsupervised Personalized Federated Learning towards New Clients
  44. Separate Scene Text Detector for Unseen Scripts is Not All You Need
  45. Freespace Optical Flow Modeling for Automated Driving
  46. Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
  47. Vehicle Price Prediction By Aggregating decision tree model With Boosting Model
  48. GaitASMS: Gait Recognition by Adaptive Structured Spatial Representation and Multi-Scale Temporal Aggregation
  49. Model Synthesis for Zero-Shot Model Attribution
  50. Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness
  51. You Can Backdoor Personalized Federated Learning
  52. Graph Condensation for Inductive Node Representation Learning
  53. Recommendation Unlearning via Matrix Correction
  54. XMem++: Production-level Video Segmentation From Few Annotated Frames
  55. The effect of network topologies on fully decentralized learning: a preliminary investigation
  56. PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas
  57. CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation
  58. Continual Learning in Predictive Autoscaling
  59. A Theory for Emergence of Complex Skills in Language Models
  60. A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
  61. GeneMask: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning
  62. Robust Recurrent Reinforcement Learning under Evolving Hidden Disturbances with Application to Rover Wheel Slip
  63. ATESA-BAERT: A Heterogeneous Ensemble Learning Model for Aspect-Based Sentiment Analysis
  64. Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks
  65. Moisesdb: A dataset for source separation beyond 4-stems
  66. Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time Windows
  67. An Automata-Theoretic Approach to Synthesizing Binarized Neural Networks
  68. Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection
  69. Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
  70. Online Matching: A Real-time Bandit System for Large-scale Recommendations
  71. A new Gradient TD Algorithm with only One Step-size: Convergence Rate Analysis using L-λ Smoothness
  72. First-order Policy Optimization for Robust Policy Evaluation
  73. Effective Whole-body Pose Estimation with Two-stages Distillation
  74. Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods
  75. GraphDAC: A Graph-Analytic Approach to Dynamic Airspace Configuration
  76. Cross-dimensional transfer learning in medical image segmentation with deep learning
  77. SemiSFL: Split Federated Learning on Unlabeled and Non-IID Data
  78. Faster Stochastic Algorithms for Minimax Optimization under Polyak--Lojasiewicz Conditions
  79. Catching Elusive Depression via Facial Micro-Expression Recognition
  80. What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network
  81. Multi-output Headed Ensembles for Product Item Classification
  82. Recent neutrino oscillation result with the IceCube experiment
  83. Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise
  84. Dimensionless Policies based on the Buckingham π Theorem: Is This a Good Way to Generalize Numerical Results?
  85. Comprehensive Algorithm Portfolio Evaluation using Item Response Theory