nsfzyzz / loss_landscape_taxonomy
[NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
☆18Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for loss_landscape_taxonomy
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Updated 2 years ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆27Updated last year
- ☆38Updated 3 months ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆18Updated 3 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆90Updated last year
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆22Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆34Updated last year
- ☆53Updated 4 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆44Updated 5 months ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆10Updated last year
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆46Updated last year
- Federated posterior averaging implemented in JAX☆49Updated last year
- A repository for LotteryFL re-implementation and experiments☆12Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆43Updated 2 years ago
- ☆14Updated last year
- ☆10Updated 2 years ago
- Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features☆14Updated 2 years ago
- ☆12Updated 3 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆63Updated 8 months ago
- Certified Removal from Machine Learning Models☆63Updated 3 years ago
- ☆81Updated last year
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 2 years ago
- [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.☆41Updated 2 years ago
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆23Updated last year
- Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020☆26Updated 2 years ago
- [ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies☆22Updated 2 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆17Updated last month
- Data-efficient Training of Machine Learning Models☆61Updated 3 years ago