Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Machine Learning — 44 papers
• Computer Vision and Pattern Recognition — 11 papers
• Domain Adaptation and Few-Shot Learning — 6 papers
• Machine Learning — 6 papers
• Computation and Language — 4 papers
• Constraint Satisfaction and Optimization — 3 papers
• Embodied and Extended Cognition — 2 papers
• Adversarial Robustness in Machine Learning — 2 papers
• Signal Processing — 2 papers
• Homotopy and Cohomology in Algebraic Topology — 1 papers

Highest-Cited Papers

1. Model-Based Learning of Whittle indices (1 citations)
2. Null Dictionary Theory: Geometry, Groupoids, and Sparse Functorial Learning
3. Avoid wasted annotation costs in open-set active learning with pre-trained vision–language model
4. Stop-and-Go Distractions: Measuring the Effects of Fragmented Inputs on Recurrent Networks
5. Past, Future, All at Once: Mitigating Stability-Plasticity Dilemma via Post-hoc JANUS Rectification
6. LargeMonitor: Monitoring Online Task-Free Continual Learning via Large Pretrained Models
7. Leveraging Complementary Embeddings for Replay Selection in Continual Learning with Small Buffers
8. TabICLv2: A better, faster, scalable, and open tabular foundation model
9. VISTA: Validation-Informed Trajectory Adaptation via Self-Distillation
10. Colla-Q: Toward Collaborative Experts in MoE Quantization via Minimax Precision Balancing
11. Activation-Weighted Seeded Residual Coding for Low-Bit LLM Weight Repair
12. evMLP: An Efficient Event-Driven MLP Architecture for Vision
13. ICON Decomposition: Auditing deep neural networks for shortcuts by decomposing layer-wise representations using concepts
14. The Orthogonalized Read Is a Removable Training Scaffold for Recurrent Memory
15. Hardware-efficient satellite change detection via hybrid Mamba decoder with differentiable lookup table classifier and progressive knowledge distillation
16. Statistical Theory of Multi-stage Newton Iteration Algorithm for Online Continual Learning
17. Mini-batch Sampling Strategies for Long-Tailed Image Classification: An Empirical Study on CIFAR-100-LT
18. Pruning as Regularization: Sensitivity-Aware One-Shot Pruning in ASR
19. Realistic Continual Learning Approach using Pre-trained Models
20. Optimal Learning Rate Schedules under Functional Scaling Laws: Power Decay and Warmup-Stable-Decay