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One-Shot Domain Incremental Learning

25 March 2024

Papers citing "One-Shot Domain Incremental Learning"

25 / 25 papers shown

Title
5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor LocalizationInternational Conference on Localization and Global Navigation Satellite System (ICL-GNSS), 2025 Nisha Lakshmana Raichur Lucas Heublein Christopher Mutschler Felix Ott 183 0 0 23 May 2025
Constrained Few-shot Class-incremental LearningComputer Vision and Pattern Recognition (CVPR), 2022 Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 249 173 0 30 Mar 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual LearningInternational Conference on Learning Representations (ICLR), 2022 Quang Pham Chenghao Liu Guosheng Lin BDL OnRL 164 66 0 30 Mar 2022
Continual Learning for Multivariate Time Series Tasks with Variable Input DimensionsIndustrial Conference on Data Mining (IDM), 2021 Vibhor Gupta Jyoti Narwariya Pankaj Malhotra Lovekesh Vig Gautam M. Shroff AI4TS 98 26 0 14 Mar 2022
Few-Shot Incremental Learning with Continually Evolved ClassifiersComputer Vision and Pattern Recognition (CVPR), 2021 Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 286 372 0 07 Apr 2021
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learningInternational Conference on Medical Imaging with Deep Learning (MIDL), 2021 F. Kanavati M. Tsuneki MedIm 167 40 0 10 Feb 2021
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 228 491 0 23 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple BaselineNeural Information Processing Systems (NeurIPS), 2020 Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 355 1,113 0 15 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning Antreas Antoniou Massimiliano Patacchiola Mateusz Ochal Amos Storkey 181 41 0 15 Apr 2020
Arachne: Search Based Repair of Deep Neural NetworksACM Transactions on Software Engineering and Methodology (TOSEM), 2019 Jeongju Sohn Sungmin Kang S. Yoo KELM 198 60 0 28 Dec 2019
Domain-Specific Batch Normalization for Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2019 Woonggi Chang Tackgeun You Seonguk Seo Suha Kwak Bohyung Han OOD 214 410 0 27 May 2019
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition Domen Tabernik D. Skočaj 141 279 0 01 Apr 2019
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines Yen-Chang Hsu Yen-Cheng Liu Anita Ramasamy Z. Kira CLL ELM 342 381 0 30 Oct 2018
Generative replay with feedback connections as a general strategy for continual learning Gido M. van de Ven A. Tolias CLL KELM 214 245 0 27 Sep 2018
Overcoming catastrophic forgetting with hard attention to the task Joan Serrà Dídac Surís M. Miron Alexandros Karatzoglou CLL 578 1,201 0 04 Jan 2018
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 899 3,092 0 26 Jun 2017
Remote Sensing Image Scene Classification: Benchmark and State of the Art Gong Cheng Junwei Han Xiaoqiang Lu 457 2,550 0 01 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 1.0K 8,717 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 598 4,305 0 23 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Katharina Eggensperger ODL 924 9,469 0 13 Aug 2016
Revisiting Batch Normalization For Practical Domain Adaptation Yanghao Li Naiyan Wang Jianping Shi Jiaying Liu Xiaodi Hou OOD 300 643 0 15 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.6K 215,422 0 10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 1.4K 45,561 0 11 Feb 2015
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba ODL 4.6K 160,730 0 22 Dec 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural NetworksInternational Conference on Learning Representations (ICLR), 2013 Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 433 1,569 0 21 Dec 2013