Papers

• Unveiling the Non-Monotonic Effect of Privacy on Generalization under Byzantine Robustness (2026)
  Thomas Boudou et al.
  5.01
• Express Language Modeling (2026)
  Albert Gong et al.
  4.95
• Is Randomness Necessary for Adaptive Data Analysis? (2026)
  Edith Cohen et al.
  4.39
• Publicly-Verifiable Certificates for Statistical Algorithms (2026)
  Michael Ngo et al.
  4.39
• Low-rank Distributional Matrix Completion (2026)
  Jiayi Wang et al.
  4.33
• Exact Unlearning in Reinforcement Learning (2026)
  Thanh Nguyen-Tang et al.
  4.33
• Rank Collapse, Fixed Points, and the Renormalization Group Structure of MLP Residual Networks (2026)
  Parviz Haggi-Mani et al.
  4.33
• The Power of Test-Time Training for Approximate Sampling (2026)
  Noah Golowich et al.
  4.33
• Beyond LoRA: Is Sparsity-Induced Adaptation Better? (2026)
  Elijah Cadenhead et al.
  3.45
• Neilson's Weak vs. Strong Loss Aversion: A Characterization and a Generalized CPT-Utility Function (2026)
  Symeon Vaidanis et al.
  2.00
• Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models (2026)
  Yebin Zheng et al.
  2.00
• Federated Learning With Hypergradient-based Online Update Of Aggregation Weights (2026)
  Ayano Nakai-Kasai, Tadashi Wadayama
  1.94
• Mathematical Foundations Of Poisoning Attacks On Linear Regression Over Cumulative Distribution Functions (2026)
  Atsuki Sato, Martin Aumüller, Yusuke Matsui
  1.78
• Bygars: Byzantine SGD With Arbitrary Number Of Attackers (2020)
  Jayanth Regatti, Hao Chen, Abhishek Gupta
  0.00
• SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities (2018)
  Zhen Li et al.
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