mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 2 Jul 2023

86 papers

  1. Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic ModelDiffusion models → Flow matching, time series and science
  2. Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion ModelsDiffusion models → Inverse problems and image restoration
  3. Bidirectional Temporal Diffusion Model for Temporally Consistent Human AnimationDiffusion models → Video generation
  4. Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge DistillationKnowledge distillation → Graph neural network distillation
  5. LEDITS: Real Image Editing with DDPM Inversion and Semantic GuidanceDiffusion models → Image generation, text-to-image and editing
  6. MissDiff: Training Diffusion Models on Tabular Data with Missing ValuesDiffusion models → Flow matching, time series and science
  7. 3D-IDS: Doubly Disentangled Dynamic Intrusion Detection
  8. Enhancing Super-Resolution Networks through Realistic Thick-Slice CT Simulation
  9. FedDefender: Backdoor Attack Defense in Federated Learning
  10. Deep Cross-Modal Steganography Using Neural Representations
  11. Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling
  12. Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review
  13. ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance
  14. Camera Calibration from a Single Imaged Ellipsoid: A Moon Calibration Algorithm
  15. A Proximal Algorithm for Network Slimming
  16. Tools for Verifying Neural Models' Training Data
  17. CLIMAX: An exploration of Classifier-Based Contrastive Explanations
  18. SDC-HSDD-NDSA: Structure Detecting Cluster by Hierarchical Secondary Directed Differential with Normalized Density and Self-Adaption
  19. Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
  20. ENN: A Neural Network with DCT Adaptive Activation Functions
  21. Automatic MILP Solver Configuration By Learning Problem Similarities
  22. Active Sensing with Predictive Coding and Uncertainty Minimization
  23. Morse Neural Networks for Uncertainty Quantification
  24. Real-time Vision-based Navigation for a Robot in an Indoor Environment
  25. CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset
  26. Solving Multi-Agent Target Assignment and Path Finding with a Single Constraint Tree
  27. Numerical Association Rule Mining: A Systematic Literature Review
  28. Minimum Levels of Interpretability for Artificial Moral Agents
  29. Neuro-Symbolic Sudoku Solver
  30. More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning
  31. Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
  32. Multiclass Boosting: Simple and Intuitive Weak Learning Criteria
  33. Effects of Explanation Specificity on Passengers in Autonomous Driving
  34. Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
  35. Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
  36. The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study
  37. Fraunhofer SIT at CheckThat! 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets
  38. RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
  39. X-MLP: A Patch Embedding-Free MLP Architecture for Vision
  40. MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
  41. ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition
  42. A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification
  43. IoT-Based Air Quality Monitoring System with Machine Learning for Accurate and Real-time Data Analysis
  44. TinySiamese Network for Biometric Analysis
  45. Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
  46. SSP: Self-Supervised Post-training for Conversational Search
  47. A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views
  48. Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity
  49. Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples
  50. Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms
  51. Is Risk-Sensitive Reinforcement Learning Properly Resolved?
  52. Defending Against Poisoning Attacks in Federated Learning with Blockchain
  53. Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning
  54. Bidirectional Correlation-Driven Inter-Frame Interaction Transformer for Referring Video Object Segmentation
  55. New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata
  56. Graph Neural Networks based Log Anomaly Detection and Explanation
  57. TensorGPT: Efficient Compression of Large Language Models based on Tensor-Train Decomposition
  58. Large Language Models Enable Few-Shot Clustering
  59. Image Background Serves as Good Proxy for Out-of-distribution Data
  60. DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting
  61. SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration
  62. HeGeL: A Novel Dataset for Geo-Location from Hebrew Text
  63. Cloud Ensemble Learning for Fault Diagnosis of Rolling Bearings with Stochastic Configuration Networks
  64. On efficient computation in active inference
  65. Classifying World War II Era Ciphers with Machine Learning
  66. Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
  67. Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory
  68. STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
  69. Improving Protein Optimization with Smoothed Fitness Landscapes
  70. Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting
  71. TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching
  72. Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection
  73. Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
  74. Query-Efficient Decision-based Black-Box Patch Attack
  75. Pricing European Options with Google AutoML, TensorFlow, and XGBoost
  76. Moments, Random Walks, and Limits for Spectrum Approximation
  77. Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems
  78. PatternGPT :A Pattern-Driven Framework for Large Language Model Text Generation
  79. Data-Driven Probabilistic Energy Consumption Estimation for Battery Electric Vehicles with Model Uncertainty
  80. Towards Unbiased Exploration in Partial Label Learning
  81. Human-to-Human Interaction Detection
  82. Conformer LLMs -- Convolution Augmented Large Language Models
  83. GenRec: Large Language Model for Generative Recommendation
  84. Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data
  85. Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters
  86. A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog