mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 24 Apr 2021

50 papers

  1. Influence Based Defense Against Data Poisoning Attacks in Online LearningLLM safety and security → Backdoor and data poisoning attacks
  2. Extract then Distill: Efficient and Effective Task-Agnostic BERT DistillationKnowledge distillation → Knowledge distillation for LLMs
  3. Modeling Coverage for Non-Autoregressive Neural Machine TranslationEfficient LLM inference and serving → Speculative decoding
  4. Highly Efficient Memory Failure Prediction using Mcelog-based Data Mining and Machine Learning
  5. A Multi-Size Neural Network with Attention Mechanism for Answer Selection
  6. Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends
  7. Learning Hamiltonian dynamics by reservoir computer
  8. Tracking Peaceful Tractors on Social Media -- XAI-enabled analysis of Red Fort Riots 2021
  9. Width Transfer: On the (In)variance of Width Optimization
  10. Quantum causal inference in the presence of hidden common causes: An entropic approach
  11. Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability
  12. A Class of Dimension-free Metrics for the Convergence of Empirical Measures
  13. Deep Convolutional Neural Network for Non-rigid Image Registration
  14. Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence
  15. Calibrating LiDAR and Camera using Semantic Mutual information
  16. Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer
  17. Wireless Federated Learning (WFL) for 6G Networks -- Part II: The Compute-then-Transmit NOMA Paradigm
  18. Predicting the Number of Reported Bugs in a Software Repository
  19. A Deep Reinforcement Learning Approach for the Meal Delivery Problem
  20. Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions
  21. MusCaps: Generating Captions for Music Audio
  22. DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training
  23. baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents
  24. Generalized moduli of continuity under irregular or random deformations via multiscale analysis
  25. Measuring Novelty in Autonomous Vehicles Motion Using Local Outlier Factor Algorithm
  26. Vietnamese Complaint Detection on E-Commerce Websites
  27. Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning
  28. Improving the filtering of Branch-And-Bound MDD solver (extended)
  29. Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning
  30. Aligned Contrastive Predictive Coding
  31. Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
  32. RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition
  33. Adaptive Appearance Rendering
  34. Anomaly Detection for Solder Joints Using β-VAE
  35. Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction
  36. EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
  37. Spatial-Spectral Clustering with Anchor Graph for Hyperspectral Image
  38. Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration
  39. M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
  40. Achieving Small Test Error in Mildly Overparameterized Neural Networks
  41. LGD-GCN: Local and Global Disentangled Graph Convolutional Networks
  42. A Survey of Modern Deep Learning based Object Detection Models
  43. Carrying out CNN Channel Pruning in a White Box
  44. Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
  45. Music Embedding: A Tool for Incorporating Music Theory into Computational Music Applications
  46. Exploring Multi-dimensional Data via Subset Embedding
  47. Class-Incremental Experience Replay for Continual Learning under Concept Drift
  48. Oriented Bounding Boxes for Small and Freely Rotated Objects
  49. Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics
  50. Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks