Subspace Regularizers for Few-Shot Class Incremental Learning

13 October 2021

Papers citing "Subspace Regularizers for Few-Shot Class Incremental Learning"

32 / 32 papers shown

Title
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 70 4 0 12 Jan 2024
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning Kai Zhu Yang Cao Wei Zhai Jie Cheng Zhengjun Zha CLL 109 145 0 19 Jul 2021
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 36 23 0 21 May 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 86 294 0 07 Apr 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning A. Cheraghian Shafin Rahman Pengfei Fang S. Roy L. Petersson Mehrtash Harandi CLL 128 184 0 06 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 903 29,372 0 26 Feb 2021
A Review of Generalized Zero-Shot Learning Methods Farhad Pourpanah Moloud Abdar Yuxuan Luo Xinlei Zhou Ran Wang C. P. Lim Xizhao Wang Q. M. Jonathan Wu VLM 56 354 0 17 Nov 2020
Class-incremental learning: survey and performance evaluation on image classification Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 79 686 0 28 Oct 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 88 410 0 23 Apr 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon Do-Yeon Kim Jun Seo Jaekyun Moon CLL 217 46 0 19 Mar 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,193 0 27 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 179 2,223 0 05 Jul 2019
Baby steps towards few-shot learning with multiple semantics Eli Schwartz Leonid Karlinsky Rogerio Feris Raja Giryes A. Bronstein VLM 93 106 0 05 Jun 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning Sung Whan Yoon Jun Seo Jaekyun Moon 64 275 0 16 May 2019
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration Debasmit Das C. S. George Lee VLM 58 30 0 27 Mar 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 116 1,160 0 28 Nov 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 89 181 0 16 Oct 2018
Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis Albert Reuther J. Kepner Chansup Byun S. Samsi William Arcand ... J. Mullen Andrew Prout Antonio Rosa Charles Yee Peter Michaleas LRM ReLM 395 282 0 20 Jul 2018
Distributed Weight Consolidation: A Brain Segmentation Case Study Patrick McClure C. Zheng Jakub R. Kaczmarzyk John Rogers-Lee Satrajit S. Ghosh D. Nielson P. Bandettini Francisco Pereira 49 28 0 28 May 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 59 1,130 0 25 Apr 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 65 1,283 0 02 Mar 2018
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 295 8,130 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 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 354 7,504 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 145 3,755 0 23 Nov 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 365 7,321 0 13 Jun 2016
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 199 841 0 17 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,525 0 01 Sep 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 149 1,442 0 21 Dec 2013
Zero-Shot Learning Through Cross-Modal Transfer R. Socher M. Ganjoo Hamsa Sridhar Osbert Bastani Christopher D. Manning A. Ng BDL VLM 119 1,469 0 16 Jan 2013
Clustered Multi-Task Learning: A Convex Formulation Laurent Jacob Francis R. Bach Jean-Philippe Vert 117 509 0 11 Sep 2008