A Survey of Deep Active Learning

30 August 2020

Pengzhen Ren

Yun Xiao

Xiaojun Chang

Po-Yao (Bernie) Huang

Papers citing "A Survey of Deep Active Learning"

41 / 141 papers shown

Title
A Chit-Chats Enhanced Task-Oriented Dialogue Corpora for Fuse-Motive Conversation Systems Changhong Yu Chunhong Zhang Qibo Sun 37 1 0 12 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 37 84 0 13 Apr 2022
Discovering and forecasting extreme events via active learning in neural operators Ethan Pickering Stephen Guth George Karniadakis T. Sapsis AI4CE 19 57 0 05 Apr 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
Was that so hard? Estimating human classification difficulty Morten Rieger Hannemose Josefine Vilsbøll Sundgaard N. K. Ternov Rasmus Paulsen Anders Christensen 20 4 0 22 Mar 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation Bing-Quan Liu Sahisnu Mazumder Eric Robertson Scott Grigsby CLL AI4CE 38 21 0 17 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 34 19 0 15 Mar 2022
Informative Path Planning for Active Learning in Aerial Semantic Mapping Julius Ruckin Liren Jin Federico Magistri C. Stachniss Marija Popović 33 11 0 03 Mar 2022
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation Biao Gao Xijun Zhao Huijing Zhao 44 12 0 18 Feb 2022
A Survey on Programmatic Weak Supervision Jieyu Zhang Cheng-Yu Hsieh Yue Yu Chao Zhang Alexander Ratner 32 91 0 11 Feb 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning J. Ahn Yeeun Ma Seoyun Park Cheolwoo You FedML 45 22 0 01 Feb 2022
Partition-Based Active Learning for Graph Neural Networks Jiaqi Ma Ziqiao Ma Joyce Chai Qiaozhu Mei 24 15 0 23 Jan 2022
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems Tianyu Zhao Xiang Pan Minghua Chen S. Low 27 10 0 15 Dec 2021
Towards General and Efficient Active Learning Yichen Xie Masayoshi Tomizuka Wei Zhan VLM 35 10 0 15 Dec 2021
CoNeRF: Controllable Neural Radiance Fields Kacper Kania K. M. Yi Marek Kowalski Tomasz Trzciñski Andrea Tagliasacchi AI4CE 33 77 0 03 Dec 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency Devendra Singh Chaplot Murtaza Dalal Saurabh Gupta Jitendra Malik Ruslan Salakhutdinov 27 74 0 02 Dec 2021
ILabel: Interactive Neural Scene Labelling Shuaifeng Zhi Edgar Sucar A. Mouton I. Haughton Tristan Laidlow Andrew J. Davison 3DV 21 35 0 29 Nov 2021
Active Learning for Event Extraction with Memory-based Loss Prediction Model Shirong Shen Zhen Li Guilin Qi 24 1 0 26 Nov 2021
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks Oliver Neumann Nicole Ludwig Marian Turowski Benedikt Heidrich V. Hagenmeyer Ralf Mikut AI4TS 42 1 0 17 Nov 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules Wei Tan Lan Du Wray Buntine 16 30 0 27 Oct 2021
A Survey on Machine Learning Techniques for Source Code Analysis Tushar Sharma M. Kechagia Stefanos Georgiou Rohit Tiwari Indira Vats Hadi Moazen Federica Sarro 25 61 0 18 Oct 2021
ActiveEA: Active Learning for Neural Entity Alignment Bing Liu Harrisen Scells Guido Zuccon Wenlan Hua Genghong Zhao 32 24 0 13 Oct 2021
Improving Question Answering Performance Using Knowledge Distillation and Active Learning Yasaman Boreshban Seyed Morteza Mirbostani Gholamreza Ghassem-Sani Seyed Abolghasem Mirroshandel Shahin Amiriparian 32 15 0 26 Sep 2021
Robust Contrastive Active Learning with Feature-guided Query Strategies R. Krishnan Nilesh A. Ahuja Alok Sinha Mahesh Subedar Omesh Tickoo Ravi Iyer 26 1 0 13 Sep 2021
Backdoor Attack and Defense for Deep Regression Xi Li G. Kesidis David J. Miller V. Lucic AAML 19 6 0 06 Sep 2021
ImitAL: Learning Active Learning Strategies from Synthetic Data Julius Gonsior Maik Thiele Wolfgang Lehner 23 4 0 17 Aug 2021
Robust and Active Learning for Deep Neural Network Regression Xi Li G. Kesidis David J. Miller Maxime Bergeron Ryan Ferguson V. Lucic 24 1 0 28 Jul 2021
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation Agnieszka Słowik Léon Bottou FaML 45 19 0 17 Jun 2021
Active Learning for Network Traffic Classification: A Technical Study A. Shahraki Mahmoud Abbasi Amirhosein Taherkordi A. Jurcut 35 42 0 13 Jun 2021
Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains Hamidreza Kasaei Sha Luo Remo Sasso Mohammadreza Kasaei 22 12 0 03 Jun 2021
All you need are a few pixels: semantic segmentation with PixelPick Gyungin Shin Weidi Xie Samuel Albanie VLM 27 42 0 13 Apr 2021
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations Arjit Jain Sunita Sarawagi Prithviraj Sen 27 24 0 08 Apr 2021
Low-Regret Active learning Cenk Baykal Lucas Liebenwein Dan Feldman Daniela Rus UQCV 41 3 0 06 Apr 2021
A Comprehensive Survey of Scene Graphs: Generation and Application Xiaojun Chang Pengzhen Ren Pengfei Xu Zhihui Li Xiaojiang Chen Alexander G. Hauptmann 3DV 33 222 0 17 Mar 2021
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation Mingjie Li Fuyu Wang Xiaojun Chang Xiaodan Liang MedIm 34 101 0 06 Jun 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 224 1,400 0 04 Dec 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,330 0 05 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 250 3,192 0 30 Oct 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 207 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012