(CVPR 2022) Energy-based Latent Aligner for Incremental Learning
☆51Dec 19, 2022Updated 3 years ago
Alternatives and similar repositories for ELI
Users that are interested in ELI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Feb 27, 2024Updated 2 years ago
- Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"☆18Aug 14, 2022Updated 3 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆118May 13, 2023Updated 2 years ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆35Feb 10, 2023Updated 3 years ago
- (TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning☆137Dec 19, 2022Updated 3 years ago
- Code for "Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning"☆21Oct 26, 2022Updated 3 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆148Jun 30, 2022Updated 3 years ago
- ☆60Apr 1, 2022Updated 3 years ago
- source code for NAACL2022 main conference "Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs"☆10Sep 26, 2022Updated 3 years ago
- ☆37Oct 14, 2021Updated 4 years ago
- ☆12Dec 13, 2022Updated 3 years ago
- Code for the paper "Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning"☆11May 5, 2021Updated 4 years ago
- This is a public repository for:☆38Aug 11, 2021Updated 4 years ago
- The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.☆18May 25, 2023Updated 2 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆70Jul 24, 2021Updated 4 years ago
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆13Jul 24, 2022Updated 3 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Nov 14, 2023Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆126Sep 25, 2022Updated 3 years ago
- Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".☆30Jan 24, 2023Updated 3 years ago
- [CVPR 2024] Targeted Representation Alignment for Open-World Semi-Supervised Learning☆15Sep 23, 2024Updated last year
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆58Jun 9, 2025Updated 9 months ago
- Overcoming catastrophic forgetting with hard attention to the task☆220Jan 23, 2019Updated 7 years ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Jul 18, 2022Updated 3 years ago
- CVPR 2022 Continual Learning in Computer Vision Workshop Challenge☆27Dec 15, 2022Updated 3 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆138Oct 31, 2023Updated 2 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆120Aug 11, 2020Updated 5 years ago
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Oct 18, 2021Updated 4 years ago
- Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation. Bingchen Zhao and Kai Han. (NeurIPS 2021)☆12Aug 20, 2023Updated 2 years ago
- Official implementation of "Learning Proposals for Practical Energy-Based Regression", AISTATS 2022.☆13Feb 4, 2023Updated 3 years ago
- Official repository of the paper 'Essentials for Class Incremental Learning'☆42Sep 16, 2021Updated 4 years ago
- ☆13Apr 7, 2022Updated 3 years ago
- [CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer☆256Apr 4, 2023Updated 2 years ago
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆18Mar 15, 2024Updated 2 years ago
- Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and…☆38Nov 21, 2022Updated 3 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆44Sep 13, 2022Updated 3 years ago
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆129Nov 29, 2021Updated 4 years ago
- ☆11Oct 11, 2023Updated 2 years ago
- A method for evaluating the high-level coherence of machine-generated texts. Identifies high-level coherence issues in transformer-based …☆11Mar 18, 2023Updated 3 years ago
- ☆11Mar 12, 2024Updated 2 years ago