Batch Active Learning at Scale

29 July 2021

Sanjiv Kumar

Papers citing "Batch Active Learning at Scale"

29 / 29 papers shown

Title
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions Cen Li Marc Toussaint Barbara Rakitsch Christoph Zimmer OffRL 142 0 0 26 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 90 12 0 31 Dec 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 143 1 0 10 Nov 2024
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition O. Kundacina V. Vincan D. Mišković BDL 101 0 0 03 May 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 33 2 0 08 Apr 2024
Reinforcement Learning from Human Feedback with Active Queries Kaixuan Ji Jiafan He Quanquan Gu 18 17 0 14 Feb 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models Gantavya Bhatt Yifang Chen Arnav M. Das Jifan Zhang Sang T. Truong ... Jeff Bilmes S. Du Kevin G. Jamieson Jordan T. Ash Robert D. Nowak 39 14 0 12 Jan 2024
Pareto Optimization to Accelerate Multi-Objective Virtual Screening Jenna C. Fromer David E. Graff Connor W. Coley 23 7 0 16 Oct 2023
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling Ke Yu Yuanmin Tang Giulia DeSalvo Suraj Kothawade Abdullah Rashwan S. Tavakkol Kayhan Batmanghelich Xiaoqi Yin ISeg 21 0 0 28 Sep 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 31 0 0 07 Jul 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang Yifang Chen Gregory H. Canal Stephen Mussmann Arnav M. Das ... Yinglun Zhu Jeffrey Bilmes S. Du Kevin G. Jamieson Robert D. Nowak VLM 33 10 0 16 Jun 2023
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge Vasudha Varadarajan Swanie Juhng Syeda Mahwish Xiaoran Liu Jonah Luby C. Luhmann H. A. Schwartz 31 3 0 03 May 2023
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report] Maureen Daum Enhao Zhang Dong He Stephen Mussmann Brandon Haynes Ranjay Krishna Magdalena Balazinska 27 4 0 07 Mar 2023
Active learning for data streams: a survey Davide Cacciarelli M. Kulahci 25 40 0 17 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 32 13 0 15 Feb 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang Shuai Shao Saurabh Verma Robert D. Nowak 18 20 0 14 Feb 2023
Leveraging Importance Weights in Subset Selection Gui Citovsky Giulia DeSalvo Sanjiv Kumar Srikumar Ramalingam Afshin Rostamizadeh Yunjuan Wang 32 3 0 28 Jan 2023
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 31 26 0 23 Jan 2023
Scalable Batch Acquisition for Deep Bayesian Active Learning Aleksandr Rubashevskii Daria A. Kotova Maxim Panov BDL 19 3 0 13 Jan 2023
Evaluating Zero-cost Active Learning for Object Detection Dominik Probst Hasnain Raza E. Rodner VLM ObjD 29 1 0 08 Dec 2022
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification Yu Li Mu-Hwa Chen Yannan Liu Daojing He Qiang Xu 31 9 0 30 Nov 2022
Promises and Pitfalls of Threshold-based Auto-labeling Harit Vishwakarma Heguang Lin Frederic Sala Ramya Korlakai Vinayak 26 9 0 22 Nov 2022
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 30 65 0 18 Oct 2022
Is margin all you need? An extensive empirical study of active learning on tabular data Dara Bahri Heinrich Jiang Tal Schuster Afshin Rostamizadeh LMTD 43 10 0 07 Oct 2022
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning Zhenwei Dai Vasileios Ioannidis Soji Adeshina Zak Jost Christos Faloutsos George Karypis UQCV 15 1 0 09 Jun 2022
A Comparative Survey of Deep Active Learning Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan FedML HAI 24 105 0 25 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy Yuanhan Zhang Qi Sun Yichun Zhou Zexin He Zhen-fei Yin Kunze Wang Lu Sheng Yu Qiao Jing Shao Ziwei Liu ObjD VLM 21 19 0 15 Mar 2022
GALAXY: Graph-based Active Learning at the Extreme Jifan Zhang Julian Katz-Samuels Robert D. Nowak 19 31 0 03 Feb 2022
Multi-Domain Active Learning: Literature Review and Comparative Study Ruidan He Shengcai Liu Shan He Ke Tang OOD 19 14 0 25 Jun 2021