mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 2 Apr 2023

79 papers

  1. Better Language Models of Code through Self-ImprovementSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  2. Textile Pattern Generation Using Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  3. Parents and Children: Distinguishing Multimodal DeepFakes from Natural ImagesDiffusion models → Image generation, text-to-image and editing
  4. MWaste: A Deep Learning Approach to Manage Household Waste
  5. altiro3D: Scene representation from single image and novel view synthesis
  6. Bayesian neural networks via MCMC: a Python-based tutorial
  7. Personalized Federated Learning with Local Attention
  8. SEENN: Towards Temporal Spiking Early-Exit Neural Networks
  9. Resolution-Invariant Image Classification based on Fourier Neural Operators
  10. Abnormal Event Detection via Hypergraph Contrastive Learning
  11. Optimizing Data Shapley Interaction Calculation from O(2^n) to O(t n^2) for KNN models
  12. Enhancing Cluster Quality of Numerical Datasets with Domain Ontology
  13. Multilingual Word Error Rate Estimation: e-WER3
  14. Classifying COVID-19 Related Tweets for Fake News Detection and Sentiment Analysis with BERT-based Models
  15. MMT: A Multilingual and Multi-Topic Indian Social Media Dataset
  16. A principled approach to model validation in domain generalization
  17. MalIoT: Scalable and Real-time Malware Traffic Detection for IoT Networks
  18. Automatic Detection of Natural Disaster Effect on Paddy Field from Satellite Images using Deep Learning Techniques
  19. Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning
  20. Eight Things to Know about Large Language Models
  21. Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
  22. Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models
  23. Optimal Mass Transport over the Euler Equation
  24. PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
  25. SPAN: Learning Similarity between Scene Graphs and Images with Transformers
  26. Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints
  27. Sequence-aware item recommendations for multiply repeated user-item interactions
  28. Modelling customer churn for the retail industry in a deep learning based sequential framework
  29. Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning
  30. DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Tasks
  31. FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising
  32. Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints
  33. Semi-supervised Neural Machine Translation with Consistency Regularization for Low-Resource Languages
  34. From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding
  35. Variational Denoising for Variational Quantum Eigensolver
  36. Video Pretraining Advances 3D Deep Learning on Chest CT Tasks
  37. Copula-Based Density Estimation Models for Multivariate Zero-Inflated Continuous Data
  38. LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising
  39. One Training for Multiple Deployments: Polar-based Adaptive BEV Perception for Autonomous Driving
  40. A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions
  41. Large Language Models are Few-shot Publication Scoopers
  42. Robust Ellipsoid Fitting Using Axial Distance and Combination
  43. The impact of individual information exchange strategies on the distribution of social wealth
  44. TSCI: two stage curvature identification for causal inference with invalid instruments
  45. CNNs with Multi-Level Attention for Domain Generalization
  46. A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
  47. Adversary-Aware Partial label learning with Label distillation
  48. Multimodal Hyperspectral Image Classification via Interconnected Fusion
  49. Infinite-dimensional reservoir computing
  50. Saddle-to-Saddle Dynamics in Diagonal Linear Networks
  51. The Effect of Counterfactuals on Reading Chest X-rays
  52. Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy
  53. Graph Mining for Cybersecurity: A Survey
  54. A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets
  55. Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System
  56. On the Optimal Recovery of Graph Signals
  57. Querying Large Language Models with SQL
  58. A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation
  59. Words that Matter: The Impact of Negative Words on News Sentiment and Stock Market Index
  60. Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
  61. Learning Robust Medical Image Segmentation from Multi-source Annotations
  62. UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning
  63. Fast Convergence of Random Reshuffling under Over-Parameterization and the Polyak-L ojasiewicz Condition
  64. LLMMaps -- A Visual Metaphor for Stratified Evaluation of Large Language Models
  65. Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
  66. Sketch-based Video Object Localization
  67. Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
  68. AMC-Net: An Effective Network for Automatic Modulation Classification
  69. SoftED: Metrics for Soft Evaluation of Time Series Event Detection
  70. Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space
  71. Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks
  72. Information Recovery-Driven Deep Incomplete Multiview Clustering Network
  73. Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
  74. Progressive Random Convolutions for Single Domain Generalization
  75. Geometric constraints improve inference of sparsely observed stochastic dynamics
  76. Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring
  77. Mini-batch k-means terminates within O(d/ε) iterations
  78. Towards Healthy AI: Large Language Models Need Therapists Too
  79. Learning Dynamic Style Kernels for Artistic Style Transfer