Incremental Learning Through Deep Adaptation

11 May 2017

Papers citing "Incremental Learning Through Deep Adaptation"

48 / 48 papers shown

Title
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts Pradip Kunwar Minh Vu Maanak Gupta Mahmoud Abdelsalam Manish Bhattarai MoE MoMe 175 0 0 29 Apr 2025
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models Fanghua Yu Jinjin Gu Jinfan Hu Zheyuan Li Chao Dong DiffM 55 0 0 21 Mar 2025
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 41 0 0 03 Nov 2024
Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search Yingying Gao Shilei Zhang Zihao Cui Chao Deng Junlan Feng 23 0 0 23 Oct 2023
Continual Named Entity Recognition without Catastrophic Forgetting Duzhen Zhang Wei Cong Jiahua Dong Yahan Yu Xiuyi Chen Yonggang Zhang Zhen Fang 28 10 0 23 Oct 2023
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis Ece Ozkan Xavier Boix OOD 28 0 0 10 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation Zekang Zhang Guangyu Gao Jianbo Jiao C. Liu Yunchao Wei 48 21 0 10 Oct 2023
Evolving Knowledge Mining for Class Incremental Segmentation Zhihe Lu Shuicheng Yan Xinchao Wang CLL 41 0 0 03 Jun 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning Mustafa Burak Gurbuz J. M. Moorman Constantinos Dovrolis CLL 34 0 0 29 May 2023
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime Chuhan Zhang Antoine Miech Jiajun Shen Jean-Baptiste Alayrac Pauline Luc VLM VPVLM 47 2 0 03 May 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning Nader Asadi Mohammad Davar Sudhir Mudur Rahaf Aljundi Eugene Belilovsky CLL 37 35 0 26 Mar 2023
Multipath agents for modular multitask ML systems Andrea Gesmundo 28 1 0 06 Feb 2023
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation Zekang Zhang Guangyu Gao Zhiyuan Fang Jianbo Jiao Yunchao Wei CLL 26 31 0 13 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 23 2 0 09 Nov 2022
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets Yuqing Zhao Divya Saxena Jiannong Cao CLL 22 12 0 22 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Fei Wu CLL 23 2 0 14 Jul 2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang CLL 26 4 0 15 Jun 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection Karim Guirguis Ahmed Hendawy George Eskandar Mohamed Abdelsamad Matthias Kayser Jürgen Beyerer 27 15 0 11 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches A. Bhunia Viswanatha Reddy Gajjala Subhadeep Koley Rohit Kundu Aneeshan Sain Tao Xiang Yi-Zhe Song CLL 25 30 0 28 Mar 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs Mehreen Sirshar Taimur Hassan M. Akram S. Khan 27 33 0 07 Jan 2022
Safe Distillation Box Jingwen Ye Yining Mao Mingli Song Xinchao Wang Cheng Jin Xiuming Zhang AAML 24 13 0 05 Dec 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay Peng Bao Zonghai Chen Ji-kai Wang Deyun Dai Hao Zhao 33 9 0 15 Nov 2021
Multi-Domain Incremental Learning for Semantic Segmentation Prachi Garg Rohit Saluja V. Balasubramanian Chetan Arora A. Subramanian C. V. Jawahar CLL 25 32 0 23 Oct 2021
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning Taimur Hassan Bilal Hassan M. Akram Shahrukh K Hashmi A. Taguri Naoufel Werghi OOD 44 17 0 18 Oct 2021
Controllable Semantic Parsing via Retrieval Augmentation Panupong Pasupat Yuan Zhang Kelvin Guu 132 47 0 16 Oct 2021
GROWN: GRow Only When Necessary for Continual Learning Li Yang Sen Lin Junshan Zhang Deliang Fan CLL 36 11 0 03 Oct 2021
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System Michael Karnes Shehan Perera S. Adhikari Alper Yilmaz 20 7 0 08 Sep 2021
DIODE: Dilatable Incremental Object Detection Can Peng Kun-li Zhao Sam Maksoud Tianren Wang Brian C. Lovell CLL ObjD 27 9 0 12 Aug 2021
Rethinking Hard-Parameter Sharing in Multi-Domain Learning Lijun Zhang Qizheng Yang Xiao Liu Hui Guan OOD 31 14 0 23 Jul 2021
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets R. Gong Dengxin Dai Yuhua Chen Wen Li Luc Van Gool 24 22 0 15 Dec 2020
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix T. Doan Mehdi Abbana Bennani Bogdan Mazoure Guillaume Rabusseau Pierre Alquier CLL 20 80 0 07 Oct 2020
Scalable Transfer Learning with Expert Models J. Puigcerver C. Riquelme Basil Mustafa Cédric Renggli André Susano Pinto Sylvain Gelly Daniel Keysers N. Houlsby 34 62 0 28 Sep 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 30 72 0 24 Jul 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting Sanyuan Chen Yutai Hou Yiming Cui Wanxiang Che Ting Liu Xiangzhan Yu KELM CLL 21 212 0 27 Apr 2020
Object landmark discovery through unsupervised adaptation Enrique Sanchez Georgios Tzimiropoulos 21 22 0 21 Oct 2019
Feature Partitioning for Efficient Multi-Task Architectures Alejandro Newell Lu Jiang Chong-Jun Wang Li-Jia Li Jia Deng 30 17 0 12 Aug 2019
Efficient Multi-Domain Network Learning by Covariance Normalization Yunsheng Li Nuno Vasconcelos OOD 22 32 0 24 Jun 2019
Budget-Aware Adapters for Multi-Domain Learning Rodrigo Berriel Stéphane Lathuilière Moin Nabi T. Klein Thiago Oliveira-Santos N. Sebe Elisa Ricci OOD 22 41 0 15 May 2019
Attentive Single-Tasking of Multiple Tasks Kevis-Kokitsi Maninis Ilija Radosavovic Iasonas Kokkinos 77 245 0 18 Apr 2019
Towards Universal Object Detection by Domain Attention Xudong Wang Zhaowei Cai Dashan Gao Nuno Vasconcelos OOD 25 193 0 09 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O. Ostapenko M. Puscas T. Klein P. Jähnichen Moin Nabi CLL 60 297 0 05 Apr 2019
Depthwise Convolution is All You Need for Learning Multiple Visual Domains Yunhui Guo Yandong Li Rogerio Feris Liqiang Wang Tajana Simunic OOD 26 145 0 03 Feb 2019
SpotTune: Transfer Learning through Adaptive Fine-tuning Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 36 445 0 21 Nov 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 25 51 0 28 May 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 32 51 0 02 Feb 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights Arun Mallya Dillon Davis Svetlana Lazebnik CLL 15 35 0 19 Jan 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 334 10,621 0 19 Feb 2017