sahagobinda / SGP
Official [AAAI] Code Repository for "Continual Learning with Scaled Gradient Projection".
☆11Updated last year
Alternatives and similar repositories for SGP:
Users that are interested in SGP are comparing it to the libraries listed below
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated last year
- SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22☆29Updated last year
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆24Updated 3 years ago
- ☆22Updated last year
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 2 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆15Updated last year
- A generic code base for neural network pruning, especially for pruning at initialization.☆30Updated 2 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆44Updated last year
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆88Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆110Updated last year
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Updated 7 months ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated last year
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆25Updated 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
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆22Updated 2 years ago
- Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020☆17Updated 2 years ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- ZSKD with PyTorch☆30Updated last year
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆31Updated 2 years ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 3 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆42Updated 2 years ago
- ☆20Updated 2 years ago
- ☆29Updated last year
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆81Updated 3 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆29Updated 3 years ago
- Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint☆28Updated 2 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆57Updated 3 years ago
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Updated 2 years ago