SaynaEbrahimi / Remembering-for-the-Right-Reasons
Official Implementation of Remembering for the Right Reasons (ICLR 2021)
☆30Updated 3 years ago
Alternatives and similar repositories for Remembering-for-the-Right-Reasons
Users that are interested in Remembering-for-the-Right-Reasons are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2020, Spotlight] Improved Schemes for Episodic Memory-based Lifelong Learning☆18Updated 4 years ago
- ☆22Updated last year
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆30Updated 2 years ago
- IIRC: Incremental Implicitly Refined Classification☆30Updated 2 years ago
- A repository to keep track of literature on catastrophic forgetting☆37Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆46Updated 4 years ago
- Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".☆30Updated 2 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆44Updated 3 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 3 years ago
- Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020☆17Updated 2 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- The original code for the paper "Benchmarks for Continual Few-Shot Learning".☆35Updated 4 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆41Updated 2 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 4 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆45Updated 2 years ago
- 1'st Place approach for CVPR 2020 Continual Learning Challenge☆46Updated 4 years ago
- Implementation for the paper "Learning Invariant Representation for Continual Learning" in PyTorch.☆12Updated 4 years ago
- ☆29Updated 3 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆36Updated last year
- Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.☆27Updated 3 years ago
- ☆26Updated 4 years ago