FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning

23 November 2022

Grégoire Petit

Adrian Daniel Popescu

Papers citing "FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning"

50 / 77 papers shown

Title
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer Zhenrong Liu Janne M. J. Huttunen Mikko Honkala CLL 49 0 0 13 May 2025
Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Meng Cui Xianghu Yue Xinyuan Qian Jinzheng Zhao Haohe Liu Xubo Liu Daoliang Li Wenwu Wang 29 0 0 21 Apr 2025
Harmony: A Unified Framework for Modality Incremental Learning Y. Song Xiaoshan Yang D. Jiang Yaowei Wang Changsheng Xu CLL 50 0 0 17 Apr 2025
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training Chao Qi Jianqin Yin Meng Chen Yingchun Niu Yuan Sun 3DPC CLL 48 0 0 11 Apr 2025
Gradient-free Continual Learning Grzegorz Rypeść CLL 38 0 0 01 Apr 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning Lu Yu Haoyu Han Zhe Tao Hantao Yao Changsheng Xu CLL 60 0 0 30 Mar 2025
Continual learning via probabilistic exchangeable sequence modelling Hanwen Xing Christopher Yau CLL BDL 91 0 0 26 Mar 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning Xuan Liu Xiaobin Chang CLL 182 0 0 23 Mar 2025
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution Haori Lu Xusheng Cao Linlan Huang Enguang Wang Fei Yang Xialei Liu CLL 47 0 0 21 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu Wenjie Zhao Yunhui Guo OODD 72 0 0 19 Mar 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification Kamil Książek Hubert Jastrzębski Bartosz Trojan Krzysztof Pniaczek Michał Karp Jacek Tabor CLL 79 0 0 18 Mar 2025
Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model Kai Tong Kang Pan Xiao Zhang Erli Meng Run He Yawen Cui Nuoyan Guo Huiping Zhuang KELM CLL 59 0 0 17 Mar 2025
Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings Yanis Basso-Bert Anca Molnos Romain Lemaire William Guicquero Antoine Dupret BDL 56 0 0 13 Mar 2025
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning Simone Magistri Tomaso Trinci Albin Soutif--Cormerais J. Weijer Andrew D. Bagdanov 45 0 0 13 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing Xiang Xiang Zhuo Xu Yao Deng Qinhao Zhou Yifan Liang Ke Chen Qingfang Zheng Yaowei Wang Xilin Chen Wen Gao VLM 48 0 0 28 Feb 2025
Incremental Learning with Repetition via Pseudo-Feature Projection Benedikt Tscheschner Eduardo Veas Marc Masana CLL 44 0 0 27 Feb 2025
Position: Continual Learning Benefits from An Evolving Population over An Unified Model Aojun Lu Junchao Ke Chunhui Ding Jiahao Fan Yanan Sun CLL 69 0 0 10 Feb 2025
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models Chiyuan He Zihuan Qiu Fanman Meng Linfeng Xu Q. Wu Hao Li VLM CLL KELM 63 0 0 02 Feb 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition George Karantaidis Athanasios Pantsios Y. Kompatsiaris Symeon Papadopoulos CLL 60 0 0 20 Jan 2025
Reducing catastrophic forgetting of incremental learning in the absence of rehearsal memory with task-specific token Young Jo Choi Min Kyoon Yoo Yu Rang Park 24 0 0 06 Nov 2024
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis Liang Bai Hong Song Yucong Lin Tianyu Fu Deqiang Xiao Danni Ai Jingfan Fan Jian Yang CLL 36 0 0 03 Nov 2024
Causal Inference Tools for a Better Evaluation of Machine Learning Michaël Soumm CML 29 1 0 02 Oct 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning Grzegorz Rype'sć Sebastian Cygert Tomasz Trzciñski Bartłomiej Twardowski 37 4 0 26 Sep 2024
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning Zhongren Yao Xiaobin Chang 29 0 0 20 Sep 2024
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning Jayateja Kalla Soma Biswas SSL 31 0 0 08 Aug 2024
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond Jichuan Zhang Yali Li Xin Liu Shengjin Wang DiffM 41 0 0 06 Aug 2024
Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion Shaoxu Cheng Kanglei Geng Chiyuan He Zihuan Qiu Linfeng Xu Heqian Qiu Lanxiao Wang Qingbo Wu Fanman Meng Hongliang Li CLL 24 0 0 04 Aug 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning Tom Fischer Yaoyao Liu Artur Jesslen Noor Ahmed Prakhar Kaushik Angtian Wang Alan L. Yuille Adam Kortylewski Eddy Ilg CLL AI4CE 37 1 0 12 Jul 2024
Exemplar-free Continual Representation Learning via Learnable Drift Compensation Alex Gomez-Villa Dipam Goswami Kai Wang Andrew D. Bagdanov Bartlomiej Twardowski Joost van de Weijer CLL SSL 36 9 0 11 Jul 2024
MagMax: Leveraging Model Merging for Seamless Continual Learning Daniel Marczak Bartłomiej Twardowski Tomasz Trzciñski Sebastian Cygert MoMe CLL 50 17 0 08 Jul 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning Dipam Goswami Albin Soutif--Cormerais Yuyang Liu Sandesh Kamath Bartlomiej Twardowski J. Weijer AAML 30 12 0 29 May 2024
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates Albin Soutif--Cormerais Simone Magistri J. Weijer Andew D. Bagdanov 32 1 0 28 May 2024
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task Huiping Zhuang Di Fang Kai Tong Yuchen Liu Ziqian Zeng Xu Zhou Cen Chen CLL 36 1 0 28 May 2024
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective Leyuan Wang Liuyu Xiang Yunlong Wang Huijia Wu Zhaofeng He CLL 22 0 0 24 May 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning Hikmat Khan Ghulam Rasool N. Bouaynaya AAML 25 0 0 20 May 2024
Continual Learning in the Presence of Repetition Hamed Hemati Lorenzo Pellegrini Xiaotian Duan Zixuan Zhao Fangfang Xia ... Shiji Zhao Shao-Yuan Li Sheng-Jun Huang Vincenzo Lomonaco Gido M. van de Ven CLL 36 2 0 07 May 2024
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer Xin Gao Xin Yang Hao Yu Yan Kang Tianrui Li CLL 47 1 0 04 May 2024
Towards Incremental Learning in Large Language Models: A Critical Review M. Jovanovic Peter Voss ELM CLL KELM 37 5 0 28 Apr 2024
Remembering Transformer for Continual Learning Yuwei Sun Ippei Fujisawa Arthur Juliani Jun Sakuma Ryota Kanai CLL 25 1 0 11 Apr 2024
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers Dipam Goswami Bartlomiej Twardowski J. Weijer 50 4 0 09 Apr 2024
Future-Proofing Class-Incremental Learning Quentin Jodelet Xin Liu Yin Jun Phua Tsuyoshi Murata VLM 41 2 0 04 Apr 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning Wenzhuo Liu Fei Zhu Cheng-Lin Liu CLL 37 2 0 27 Mar 2024
Recommendation of data-free class-incremental learning algorithms by simulating future data Eva Feillet Adrian Daniel Popescu C´eline Hudelot 46 0 0 26 Mar 2024
AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption Huiping Zhuang Yuchen Liu Run He Kai Tong Ziqian Zeng Cen Chen Yi Wang Lap-Pui Chau CLL 35 1 0 23 Mar 2024
G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning Huiping Zhuang Yizhu Chen Di Fang Run He Kai Tong Hongxin Wei Ziqian Zeng Cen Chen CLL 37 5 0 23 Mar 2024
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning Run He Huiping Zhuang Di Fang Yizhu Chen Kai Tong Cen Chen 35 1 0 20 Mar 2024
Semantic Prompting with Image-Token for Continual Learning Jisu Han Jaemin Na Wonjun Hwang CLL VLM 45 1 0 18 Mar 2024
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts Murat Onur Yildirim Elif Ceren Gok Yildirim D. Mocanu Joaquin Vanschoren CLL 44 0 0 13 Mar 2024
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing Eduard Hogea Adrian Daniel Popescu Darian M. Onchis Grégoire Petit CLL 29 6 0 12 Mar 2024
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning Mark D Mcdonnell Dong Gong Ehsan Abbasnejad Anton Van Den Hengel VLM DiffM 80 3 0 12 Mar 2024