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ActiveDC: Distribution Calibration for Active Finetuning

13 November 2023

Qingjie Liu

Yunhong Wang

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Papers citing "ActiveDC: Distribution Calibration for Active Finetuning"

25 / 25 papers shown

Title
Towards Free Data Selection with General-Purpose Models Alessandro Mutti Mingyu Ding Patrizia Semeraro Wei Zhan 79 10 0 29 Sep 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning Thomas Stegmüller Tim Lebailly Behzad Bozorgtabar Tinne Tuytelaars Jean-Philippe Thiran 85 17 0 23 Mar 2023
Improving Visual Representation Learning through Perceptual Understanding Samyakh Tukra Frederick Hoffman Ken Chatfield 80 5 0 30 Dec 2022
Active Learning by Feature Mixing Amin Parvaneh Ehsan Abbasnejad Damien Teney Reza Haffari Anton Van Den Hengel Javen Qinfeng Shi 81 94 0 14 Mar 2022
iBOT: Image BERT Pre-Training with Online Tokenizer Jinghao Zhou Chen Wei Huiyu Wang Wei Shen Cihang Xie Alan Yuille Tao Kong 88 743 0 15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 480 7,837 0 11 Nov 2021
Reducing Label Effort: Self-Supervised meets Active Learning Javad Zolfaghari Bengar Joost van de Weijer Bartlomiej Twardowski Bogdan Raducanu VLM 86 60 0 25 Aug 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
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 297 2,845 0 15 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 735 6,139 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 161 1,873 0 05 Apr 2021
On Statistical Bias In Active Learning: How and When To Fix It Sebastian Farquhar Y. Gal Tom Rainforth TDI HAI 54 85 0 27 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,813 0 23 Dec 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,076 0 20 Nov 2020
Contextual Diversity for Active Learning Sharat Agarwal H. Arora Saket Anand Chetan Arora 159 171 0 13 Aug 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 281 4,101 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 417 6,849 0 13 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 395 18,897 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,136 0 13 Nov 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 105 777 0 09 Jun 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 85 663 0 09 May 2019
Bayesian Generative Active Deep Learning Toan M. Tran Thanh-Toan Do Ian Reid G. Carneiro 101 137 0 26 Apr 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 140 579 0 31 Mar 2019
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 102 853 0 17 Jul 2018
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 39,637 0 01 Sep 2014