Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models

2 March 2024

Papers citing "Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models"

7 / 7 papers shown

Title
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 70 655 0 21 Feb 2022
Active Learning at the ImageNet Scale Z. Emam Hong-Min Chu Ping Yeh-Chiang W. Czaja R. Leapman Micah Goldblum Tom Goldstein 50 34 0 25 Nov 2021
Batch Active Learning at Scale Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar 42 153 0 29 Jul 2021
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering Siddharth Karamcheti Ranjay Krishna Li Fei-Fei Christopher D. Manning 39 90 0 06 Jul 2021
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 68 1,129 0 30 Aug 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 245 6,718 0 13 Jun 2020
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation Ling Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Chen MedIm 50 503 0 15 Jun 2017