Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes

11 September 2023

Papers citing "Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes"

42 / 42 papers shown

Title
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li Peng Cao Yuan. Yuan Lijie Fan Yuzhe Yang Rogerio Feris Piotr Indyk Dina Katabi 113 183 0 27 Nov 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data Andrew Jesson P. Tigas Joost R. van Amersfoort Andreas Kirsch Uri Shalit Y. Gal CML 86 32 0 03 Nov 2021
Class-Balanced Active Learning for Image Classification Javad Zolfaghari Bengar Joost van de Weijer Laura Lopez-Fuentes Bogdan Raducanu 42 24 0 09 Oct 2021
Influence Selection for Active Learning Zhuoming Liu Hao Ding Huaping Zhong Weijia Li Jifeng Dai Conghui He TDI 82 96 0 20 Aug 2021
ImitAL: Learning Active Learning Strategies from Synthetic Data Julius Gonsior Maik Thiele Wolfgang Lehner 50 4 0 17 Aug 2021
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers Andreas Kirsch Tom Rainforth Y. Gal OOD TTA 72 22 0 22 Jun 2021
Visual Transformer for Task-aware Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim ViT 131 11 0 07 Jun 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 109 265 0 18 Feb 2021
Delving into Deep Imbalanced Regression Yuzhe Yang Kaiwen Zha Ying-Cong Chen Hongya Wang Dina Katabi 81 270 0 18 Feb 2021
PowerEvaluationBALD: Efficient Evaluation-Oriented Deep (Bayesian) Active Learning with Stochastic Acquisition Functions Andreas Kirsch Yarin Gal 44 4 0 10 Jan 2021
Learning active learning at the crossroads? evaluation and discussion L. Desreumaux V. Lemaire 58 12 0 16 Dec 2020
ALdataset: a benchmark for pool-based active learning Xueying Zhan Antoni B. Chan 27 3 0 16 Oct 2020
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 114 1,153 0 30 Aug 2020
Sequential Graph Convolutional Network for Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim GNN 122 122 0 18 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 131 413 0 13 Jun 2020
Active Learning for Skewed Data Sets Abbas Kazerouni Qi Zhao Jing Xie Sandeep Tata Marc Najork 40 14 0 23 May 2020
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning Jongwon Choi K. M. Yi Jihoon Kim Jincho Choo Byoungjip Kim Jin-Yeop Chang Youngjune Gwon H. Chang DRL 65 42 0 25 Mar 2020
Deep Active Learning: Unified and Principled Method for Query and Training Changjian Shui Fan Zhou Christian Gagné Boyu Wang FedML 86 153 0 20 Nov 2019
Bayesian Batch Active Learning as Sparse Subset Approximation Robert Pinsler Jonathan Gordon Eric T. Nalisnick José Miguel Hernández-Lobato UQCV 63 132 0 06 Aug 2019
Discriminative Active Learning Daniel Gissin Shai Shalev-Shwartz 65 178 0 15 Jul 2019
Deep Active Learning with Adaptive Acquisition Manuel Haussmann Fred Hamprecht M. Kandemir 79 41 0 27 Jun 2019
Batch Active Learning Using Determinantal Point Processes Erdem Biyik Kenneth Wang Nima Anari Dorsa Sadigh 85 62 0 19 Jun 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
Understanding Goal-Oriented Active Learning via Influence Functions Minjie Xu Gary Kazantsev TDI 55 7 0 30 May 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
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 151 1,164 0 10 Apr 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 140 579 0 31 Mar 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 106 442 0 17 Jan 2019
Discovering General-Purpose Active Learning Strategies Ksenia Konyushkova Raphael Sznitman Pascal Fua 91 35 0 09 Oct 2018
Adversarial Sampling for Active Learning Christoph Mayer Radu Timofte GAN 141 117 0 20 Aug 2018
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 99 515 0 04 Jul 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 88 706 0 04 Jul 2018
Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning Kunkun Pang Mingzhi Dong Yang Wu Timothy M. Hospedales OffRL 46 91 0 12 Jun 2018
Image Transformer Niki Parmar Ashish Vaswani Jakob Uszkoreit Lukasz Kaiser Noam M. Shazeer Alexander Ku Dustin Tran ViT 151 1,687 0 15 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Learning Active Learning from Data Ksenia Konyushkova Raphael Sznitman Pascal Fua 57 303 0 09 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 75 1,739 0 08 Mar 2017
Generative Adversarial Active Learning Jia Jie Zhu José Bento GAN 86 185 0 25 Feb 2017
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 313 451 0 28 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 130 915 0 24 Dec 2011