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Learning Active Learning from Data

9 March 2017

Papers citing "Learning Active Learning from Data"

50 / 66 papers shown

Title
Generalization Analysis for Bayesian Optimal Experiment Design under Model Misspecification Roubing Tang Sabina J. Sloman Samuel Kaski CML 17 0 0 09 Jun 2025
Survey of Active Learning Hyperparameters: Insights from a Large-Scale Experimental Grid Julius Gonsior Tim Rieß Anja Reusch Claudio Hartmann Maik Thiele Wolfgang Lehner 91 0 0 04 Jun 2025
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation Shuzhou Sun Li Liu Tianpeng Liu Shuaifeng Zhi Ming-Ming Cheng J. Heikkilä Yongxiang Liu CML 234 0 0 29 May 2025
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 156 0 0 24 Feb 2025
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE) Daniel Sonntag Michael Barz Thiago S. Gouvêa VLM 110 4 0 27 Jun 2024
AI-Guided Defect Detection Techniques to Model Single Crystal Diamond Growth R. Mekala Elias Garratt Matthias Muehle Arjun Srinivasan Adam A. Porter Mikael Lindvall 62 1 0 10 Apr 2024
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes Tim Bakker H. V. Hoof Max Welling 79 2 0 11 Sep 2023
An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets Po-Yi Lu Yi-Jie Cheng Chun-Liang Li Hsuan-Tien Lin 78 8 0 15 Jun 2023
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 82 11 0 21 May 2023
Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition M. Valancius M. Lennon Junier Oliva 74 1 0 27 Feb 2023
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection H. Sahbi Sebastien Deschamps 50 0 0 28 Dec 2022
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 62 0 0 09 Dec 2022
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering R. Fajri A. Saxena Yulong Pei Mykola Pechenizkiy FaML 51 3 0 21 Sep 2022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan Salman Khan Fahad Shahbaz Khan M. Shah 117 51 0 05 Jul 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 56 3 0 04 Jul 2022
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning Yuzhong Chen Zhe Xiao Lin Zhao Lu Zhang Haixing Dai ... Tuo Zhang Changying Li Dajiang Zhu Tianming Liu Xi Jiang 112 18 0 20 May 2022
One Size Does Not Fit All: The Case for Personalised Word Complexity Models Sian Gooding Manuel Tragut 67 17 0 05 May 2022
Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach Meisin Lee Lay-Ki Soon Eu-Gene Siew 64 0 0 01 May 2022
Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification Jing Gao T. Burghardt Neill D. F. Campbell 117 5 0 22 Apr 2022
Onception: Active Learning with Expert Advice for Real World Machine Translation Vania Mendoncca Ricardo Rei Luísa Coheur Alberto Sardinha INESC-ID Lisboa 97 7 0 09 Mar 2022
Competition over data: how does data purchase affect users? Yongchan Kwon Antonio A. Ginart James Zou 55 5 0 26 Jan 2022
Budget-aware Few-shot Learning via Graph Convolutional Network Shipeng Yan Songyang Zhang Xuming He 46 6 0 07 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 126 27 0 16 Dec 2021
Boosting Active Learning via Improving Test Performance Tianyang Wang Xingjian Li Pengkun Yang Guosheng Hu Xiangrui Zeng Siyu Huang Chengzhong Xu Min Xu 77 33 0 10 Dec 2021
Multi-View Active Learning for Short Text Classification in User-Generated Data Payam Karisani Negin Karisani Li Xiong VLM 71 4 0 05 Dec 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency Devendra Singh Chaplot Murtaza Dalal Saurabh Gupta Jitendra Malik Ruslan Salakhutdinov 71 75 0 02 Dec 2021
TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors Yuelin Zhang Jia Yan Zehuan Wang Xiaoyan Peng Yutong Tian Shukai Duan Jia Yan 63 42 0 14 Oct 2021
ImitAL: Learning Active Learning Strategies from Synthetic Data Julius Gonsior Maik Thiele Wolfgang Lehner 56 4 0 17 Aug 2021
On Training Instance Selection for Few-Shot Neural Text Generation Ernie Chang Xiaoyu Shen Hui-Syuan Yeh Vera Demberg 88 42 0 07 Jul 2021
Active Learning for Network Traffic Classification: A Technical Study A. Shahraki Mahmoud Abbasi Amirhosein Taherkordi A. Jurcut 63 42 0 13 Jun 2021
Stopping Criterion for Active Learning Based on Error Stability Hideaki Ishibashi H. Hino 66 12 0 05 Apr 2021
Interpret-able feedback for AutoML systems Behnaz Arzani Kevin Hsieh Haoxian Chen 33 3 0 22 Feb 2021
From Weakly Supervised Learning to Biquality Learning: an Introduction Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols A. Ouorou 105 22 0 16 Dec 2020
Learning to Sample the Most Useful Training Patches from Images Shuyang Sun Liang Chen Greg Slabaugh Philip Torr 72 8 0 24 Nov 2020
ALdataset: a benchmark for pool-based active learning Xueying Zhan Antoni B. Chan 39 3 0 16 Oct 2020
Meta-Active Learning for Node Response Prediction in Graphs Tomoharu Iwata 25 0 0 12 Oct 2020
Adaptive Self-training for Few-shot Neural Sequence Labeling Yaqing Wang Subhabrata Mukherjee Haoda Chu Yuancheng Tu Ming Wu Jing Gao Ahmed Hassan Awadallah VLM 54 34 0 07 Oct 2020
Active Feature Acquisition with Generative Surrogate Models Yang Li Junier B. Oliva RALM TPM 65 38 0 06 Oct 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 142 153 0 03 Sep 2020
A Survey of Active Learning for Text Classification using Deep Neural Networks Christopher Schröder A. Niekler 83 101 0 17 Aug 2020
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty Wonyoung Shin Jung-Woo Ha Shengzhe Li Yongwoo Cho Hoyean Song Sunyoung Kwon NoLa 51 9 0 14 Aug 2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning Yawen Wu Zhepeng Wang Yiyu Shi Jiaxi Hu 74 46 0 07 Jul 2020
Batch Decorrelation for Active Metric Learning Priyadarshini Kumari Ritesh Goru Siddhartha Chaudhuri Subhasis Chaudhuri 53 7 0 20 May 2020
SoQal: Selective Oracle Questioning in Active Learning Dani Kiyasseh T. Zhu David Clifton 50 0 0 22 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 418 1,998 0 11 Apr 2020
Reinforced active learning for image segmentation Arantxa Casanova Pedro H. O. Pinheiro Negar Rostamzadeh C. Pal 85 109 0 16 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 147 155 0 13 Feb 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data F. Such Aditya Rawal Joel Lehman Kenneth O. Stanley Jeff Clune DD 72 158 0 17 Dec 2019
Using Error Decay Prediction to Overcome Practical Issues of Deep Active Learning for Named Entity Recognition Haw-Shiuan Chang Shankar Vembu Sunil Mohan Rheeya Uppaal Andrew McCallum 31 3 0 17 Nov 2019
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan O. Arik L. Davis Tomas Pfister 236 200 0 16 Oct 2019