Confidence Self-Calibration for Multi-Label Class-Incremental Learning

19 March 2024

Papers citing "Confidence Self-Calibration for Multi-Label Class-Incremental Learning"

22 / 22 papers shown

Title
Long-Tailed Learning as Multi-Objective Optimization Weiqi Li Fan Lyu Fanhua Shang Liang Wan Wei Feng 78 4 0 31 Oct 2023
Centroid Distance Distillation for Effective Rehearsal in Continual Learning Daofeng Liu Fan Lyu Linyan Li Zhenping Xia Fuyuan Hu 56 5 0 06 Mar 2023
AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image Recognition Kaile Du Fan Lyu Fuyuan Hu Linyan Li Wei Feng Fenglei Xu Qiming Fu CLL 70 18 0 10 Mar 2022
Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning Sungmin Cha Sungjun Cho Dasol Hwang Sunwon Hong Moontae Lee Taesup Moon CLL 128 19 0 29 Jan 2022
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 105 796 0 16 Dec 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 239 4,004 0 28 Jul 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning Zheda Mai Ruiwen Li Hyunwoo J. Kim Scott Sanner CLL 87 186 0 22 Mar 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 320 521 0 15 Jan 2021
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition Jin Ye Junjun He Xiaojiang Peng Wenhao Wu Yu Qiao 49 189 0 05 Dec 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams Matthias De Lange Tinne Tuytelaars CLL 75 206 0 02 Sep 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 85 925 0 15 Apr 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 90 467 0 21 Feb 2020
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Tianshui Chen Muxi Xu X. Hui Hefeng Wu Liang Lin 78 289 0 20 Aug 2019
Multi-Label Image Recognition with Graph Convolutional Networks Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo 115 1,001 0 07 Apr 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 116 1,171 0 28 Nov 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 129 889 0 16 May 2018
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 165 1,141 0 23 Jan 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 374 7,572 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 162 3,782 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 308 4,432 0 29 Jun 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,342 0 14 Dec 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 434 43,832 0 01 May 2014