hessian analysis

Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks AAAI 2026 Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression EMNLP 2025 From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications ICML 2025 What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis ICLR 2025 Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NeurIPS 2024 Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023 Convexity Certificates from Hessians NeurIPS 2022 Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data NeurIPS 2022 Vanishing Curvature in Randomly Initialized Deep ReLU Networks AISTATS 2022 Tilting the playing field: Dynamical loss functions for machine learning ICML 2021 Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020 Hessian-based Analysis of Large Batch Training and Robustness to Adversaries NeurIPS 2018