k-gyuhak / WPTPLinks
☆14Updated 2 years ago
Alternatives and similar repositories for WPTP
Users that are interested in WPTP are comparing it to the libraries listed below
Sorting:
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆38Updated 2 years ago
- PyContinual (An Easy and Extendible Framework for Continual Learning)☆316Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆96Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated last year
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆44Updated 3 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- Continual Learning with Transformer☆26Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago
- A collection of model transferability estimation methods.☆28Updated 9 months ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆310Updated this week
- ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse☆51Updated last year
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆23Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 8 months ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆45Updated 5 months ago
- ☆19Updated 3 years ago
- ☆118Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- ☆108Updated 2 years ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆86Updated 8 months ago
- ☆20Updated 2 years ago
- Survey on Robust Weakly Supervised Learning☆13Updated 3 years ago
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…☆50Updated last year
- ☆35Updated 3 years ago
- ☆26Updated 3 years ago
- Source code for NeurIPS 2022 paper SoLar☆29Updated last year
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆61Updated 3 years ago
- Awesome coreset/core-set/subset/sample selection works.☆179Updated last year
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆18Updated 2 years ago