baekrok / DASH-Direction-Aware-SHrinking
☆10Updated 4 months ago
Alternatives and similar repositories for DASH-Direction-Aware-SHrinking:
Users that are interested in DASH-Direction-Aware-SHrinking are comparing it to the libraries listed below
- ☆13Updated last month
- ☆67Updated 4 months ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated last year
- ☆40Updated 2 years ago
- ☆34Updated last year
- ☆35Updated 2 years ago
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆35Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning☆20Updated 2 years ago
- Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.☆16Updated 5 months ago
- Codebase for the ECCV 2024 paper: Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance☆9Updated 9 months ago
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆14Updated 9 months ago
- ☆16Updated 7 months ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆48Updated 10 months ago
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆18Updated 4 months ago
- Official Code of Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers (AAAI 2024)☆15Updated 5 months ago
- Pytorch implementation of neural processes and variants☆28Updated 9 months ago
- ☆38Updated 5 months ago
- [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting☆15Updated last year
- ☆10Updated 2 months ago
- ☆24Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆57Updated last month
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024☆20Updated 9 months ago
- Winning SubNetwork (WSN)☆29Updated last year
- ☆16Updated 2 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆27Updated 11 months ago
- ☆11Updated 2 years ago