Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Machine Learning — 13 papers
• Computer Vision and Pattern Recognition — 4 papers
• Optimization and Control — 2 papers
• Machine Learning — 2 papers
• Methodology — 2 papers
• Advanced Image and Video Retrieval Techniques — 1 papers
• Image and Video Processing — 1 papers
• Domain Adaptation and Few-Shot Learning — 1 papers
• Advanced Neural Network Applications — 1 papers
• Signal Processing — 1 papers

Highest-Cited Papers

1. Computation of Strong Solutions to Stochastic Variational Inequalities
2. Automatic Generation of Deep Learning Models Based on Heterogeneous Pre-Trained Model Stitching
3. A Finite-Sample Analysis of Quantile Temporal-Difference Learning
4. Pre-train to Gain: Robust Learning Without Clean Labels
5. OASIS: Online Adaptive Video Compression via Closed-loop Feedback Control
6. Skeletal Prototypes on Iterative Nerve Expansions
7. Machine Learning under Imperfect Data: Challenges and Methods
8. The General Theory of Localization Methods
9. SIMS: Scale-Invariant Merit-Function-Based Scalarization for Multi-Task Learning
10. The Anatomy and Boundary of Adaptation under Temporal Tabular Shift
11. APIMatch: A Semi-Supervised Learning Framework with Average Pseudo Integrated Margin
12. Selective Live Training Architecture (SLTA): Capability-Selective Continual Adaptation for Deployed Large Neural Networks
13. Exact-Form Regret for Gradient Descent, Mirror Descent and Follow-the-Regularized-Leader
14. Token-Oriented Semantic Communication with Pretrained Vision Transformers
15. Transfer Learning with Heterogeneous Feature Spaces in Linear Regression
16. A Theoretical Analysis of Provable Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition
17. Bi-ZOL: Bilevel Zeroth-Order Learning with Nonsmooth Responses
18. An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
19. Evolving Layer-Specific Scalar Functions for Hardware-Aware Transformer Adaptation
20. GaLe: memory-efficient Global Approximate and Local Exact features