Probing Representation Forgetting in Supervised and Unsupervised
Continual Learning

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning

24 March 2022

Mohammad-Javad Davari

Eugene Belilovsky

Papers citing "Probing Representation Forgetting in Supervised and Unsupervised Continual Learning"

15 / 15 papers shown

Title
Prototype Augmented Hypernetworks for Continual Learning Neil De La Fuente Maria Pilligua Daniel Vidal Albin Soutiff Cecilia Curreli Daniel Cremers Andrey Barsky CLL 29 0 0 12 May 2025
Differentiable Prompt Learning for Vision Language Models Zhenhan Huang Tejaswini Pedapati Pin-Yu Chen Jianxi Gao VLM 28 0 0 03 Jan 2025
Can LLMs Learn New Concepts Incrementally without Forgetting? Junhao Zheng Shengjie Qiu Qianli Ma CLL 35 0 0 13 Feb 2024
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models Junhao Zheng Shengjie Qiu Qianli Ma 25 9 0 13 Dec 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi Hao Wang CLL 34 18 0 18 Oct 2023
Domain-Aware Augmentations for Unsupervised Online General Continual Learning Nicolas Michel Romain Negrel Giovanni Chierchia J. Bercher CLL 17 2 0 13 Sep 2023
A Comprehensive Empirical Evaluation on Online Continual Learning Albin Soutif--Cormerais Antonio Carta Andrea Cossu J. Hurtado Hamed Hemati Vincenzo Lomonaco Joost van de Weijer CLL 26 20 0 20 Aug 2023
Continual Pre-Training of Large Language Models: How to (re)warm your model? Kshitij Gupta Benjamin Thérien Adam Ibrahim Mats L. Richter Quentin G. Anthony Eugene Belilovsky Irina Rish Timothée Lesort KELM 24 99 0 08 Aug 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning Nader Asadi Mohammad Davar Sudhir Mudur Rahaf Aljundi Eugene Belilovsky CLL 34 35 0 26 Mar 2023
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering Yao Zhang Haokun Chen A. Frikha Yezi Yang Denis Krompass Gengyuan Zhang Jindong Gu Volker Tresp VLM LRM 16 7 0 19 Nov 2022
Contrastive Classification and Representation Learning with Probabilistic Interpretation Rahaf Aljundi Yash J. Patel Milan Šulc Daniel Olmeda N. Chumerin SSL 31 5 0 07 Nov 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery Xinwei Zhang Jianwen Jiang Yutong Feng Zhi-Fan Wu Xibin Zhao Hai Wan Mingqian Tang Rong Jin Yue Gao CLL 38 29 0 09 Oct 2022
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation Tobias Kalb Jürgen Beyerer CLL 25 8 0 16 Sep 2022
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective Sungmin Cha Jihwan Kwak Dongsub Shim Hyunwoo J. Kim Moontae Lee Honglak Lee Taesup Moon CLL 28 1 0 16 Jun 2022
Alleviating Representational Shift for Continual Fine-tuning Shibo Jie Zhi-Hong Deng Ziheng Li CLL 30 11 0 22 Apr 2022