Batch Active Learning Using Determinantal Point Processes

Batch Active Learning Using Determinantal Point Processes

19 June 2019

Dorsa Sadigh

Papers citing "Batch Active Learning Using Determinantal Point Processes"

18 / 18 papers shown

Title
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 208 0 0 30 Dec 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 193 1 0 10 Nov 2024
Active Reward Learning from Online Preferences Vivek Myers Erdem Biyik Dorsa Sadigh OffRL 37 12 0 27 Feb 2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj AI4CE 29 7 0 03 Jan 2023
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 24 4 0 30 Nov 2022
Machine Learning for a Sustainable Energy Future Zhenpeng Yao Yanwei Lum Andrew K. Johnston L. M. Mejia-Mendoza Xiaoxia Zhou Yonggang Wen Alán Aspuru-Guzik E. Sargent Z. Seh 32 210 0 19 Oct 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios Xueying Zhan Zeyu Dai Qingzhong Wang Qing Li Haoyi Xiong Dejing Dou Antoni B. Chan OODD 11 3 0 04 Jul 2022
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels Mohamad Amin Mohamadi Wonho Bae Danica J. Sutherland 30 20 0 25 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
Learning Perceptual Concepts by Bootstrapping from Human Queries Andreea Bobu Chris Paxton Wei Yang Balakumar Sundaralingam Yu-Wei Chao Maya Cakmak Dieter Fox SSL 30 17 0 09 Nov 2021
Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes Naoto Ohsaka 22 4 0 02 Sep 2021
APReL: A Library for Active Preference-based Reward Learning Algorithms Erdem Biyik Aditi Talati Dorsa Sadigh 20 35 0 16 Aug 2021
Multi-Domain Active Learning: Literature Review and Comparative Study Ruidan He Shengcai Liu Shan He Ke Tang OOD 19 14 0 25 Jun 2021
Active Deep Learning on Entity Resolution by Risk Sampling Youcef Nafa Qun Chen Zhaoqiang Chen Xingyu Lu Haiyang He Tianyi Duan Zhanhuai Li 10 16 0 23 Dec 2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell Insu Han Elvis Dohmatob Jennifer Gillenwater Victor-Emmanuel Brunel 28 16 0 17 Jun 2020
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning Erdem Biyik Malayandi Palan Nicholas C. Landolfi Dylan P. Losey Dorsa Sadigh 18 112 0 10 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,124 0 25 Jul 2012