Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Machine Learning — 20 papers
• Ethics and Social Impacts of AI — 4 papers
• Artificial Intelligence — 3 papers
• Computer Vision and Pattern Recognition — 2 papers
• Information Theory — 2 papers
• Computation and Language — 1 papers
• Machine Learning — 1 papers
• Space Science and Extraterrestrial Life — 1 papers
• Signal Processing — 1 papers
• Distributed, Parallel, and Cluster Computing — 1 papers

Highest-Cited Papers

1. When fairness metrics fail: A utility-based perspective on $\varepsilon$-fairness
2. Curvature Cryptanalysis of Smooth Transformer Feed-Forward Networks
3. Stiefel Attention: When the Geometry of Transformer Projection Matrices Dominates Optimizer Choice---and When It Does Not
4. Average Fairness Gains Do Not Imply Directionally Consistent Intervention Effects in Tabular In-Context Learning: A Reliability Audit of Fair-TabICL
5. Average Fairness Gains Do Not Imply Directionally Consistent Intervention Effects in Tabular In-Context Learning: A Reliability Audit of Fair-TabICL
6. One Example Is Enough to Pass Fairness Benchmarks: Rethinking Fairness Evaluation for Aligned LLMs
7. Sparsity-Adaptive Sharpness-Aware Minimization
8. From matrix inversion to constraints: provably tighter confidence regions for importance weights in label shift
9. E8 Geodesic Danger Arithmetic for Cosmic Transposition Learning — E8 Intelligence Research
10. Markov-Enforced Discrete Diffusion Model for Digital Semantic Symbol Error Correction
11. Software Fairness Analysis and Repair via Causal Model-Guided Data Mutation
12. On the Societal Impact of Machine Learning
13. CEDD-optimizer: Enabling Cost-Efficient Dataset Distillation on Geographically Distributed Edge Systems
14. Training Trajectories Determine Circuit Removability in Annealable Soft-Prior Transformers
15. Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates
16. PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset
17. Guided Adversarial Robust Transfer Learning with Source Mixing
18. Low-Rank Plus Sparse Matrix Transfer Learning under Growing Representations and Ambient Dimensions
19. Selective Posterior Margin Regularization for Forward-Corrected Classification
20. Multi-User Dueling Bandits: A Fair Approach using Nash Social Welfare