stony-hub / learning_without_memorizingLinks
A pytorch implementation of CVPR 2019 paper Learning without Memorizing.
☆17Updated last year
Alternatives and similar repositories for learning_without_memorizing
Users that are interested in learning_without_memorizing are comparing it to the libraries listed below
Sorting:
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆169Updated 4 years ago
- ☆60Updated 3 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆118Updated 2 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆138Updated 2 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆247Updated 5 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
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆40Updated 3 years ago
- ☆37Updated 4 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆166Updated 4 years ago
- (AAAI 2021) Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network☆24Updated 4 years ago
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆64Updated 3 years ago
- Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)☆96Updated 4 years ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆26Updated 2 years ago
- PyTorch Implementation of Robust Classification with Convolutional Prototype Learning☆70Updated 6 years ago
- Official repository of the paper 'Essentials for Class Incremental Learning'☆42Updated 4 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆99Updated 3 years ago
- Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"☆24Updated 3 years ago
- ☆35Updated 4 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆126Updated 3 years ago
- ☆59Updated 3 years ago
- PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (…☆79Updated 2 years ago
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆51Updated 3 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆147Updated 3 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Updated last year
- Implementation of Learning without Forgetting paper☆131Updated 4 years ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆27Updated 3 years ago
- ICCV2021 - training a post-hoc lightweight GAN-discriminator for open-set recognition☆141Updated 3 years ago
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆45Updated 3 years ago
- pytorch implementation of Large Scale Incremental Learning☆66Updated 5 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆278Updated last year