ShipengWang / Adam-NSCLLinks
PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
☆66Updated 4 years ago
Alternatives and similar repositories for Adam-NSCL
Users that are interested in Adam-NSCL are comparing it to the libraries listed below
Sorting:
- ☆60Updated 3 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆76Updated 3 years ago
- ☆66Updated 3 years ago
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆64Updated 3 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆118Updated 2 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆145Updated 3 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆132Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- ☆60Updated 3 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆97Updated 4 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆71Updated last year
- [ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain☆79Updated 3 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆91Updated 2 years ago
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆51Updated 2 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆64Updated 3 years ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Updated 2 years ago
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆23Updated 3 years ago
- ☆33Updated 4 years ago
- [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization☆63Updated 2 years ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Updated 3 years ago
- [ICLR 2023 Spotlight] Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors☆39Updated 2 years ago
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆139Updated last year
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆104Updated 2 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Updated 4 years ago
- ☆53Updated 2 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- "Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Kh…☆38Updated 2 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 4 years ago