v1v2v3v4 (latest)

Active Learning with Partial Feedback

21 February 2018

Papers citing "Active Learning with Partial Feedback"

32 / 32 papers shown

Title
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal TransportInternational Conference on Learning Representations (ICLR), 2024 Siqi Zeng Sixian Du M. Yamada Han Zhao OT 347 1 0 04 Oct 2024
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models Christopher Schröder Gerhard Heyer VLM 176 1 0 13 Jun 2024
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More PracticalInternational Conference on Machine Learning (ICML), 2023 Wei Wang Takashi Ishida Yu Zhang Gang Niu Masashi Sugiyama 362 8 0 27 Nov 2023
FOCAL: A Cost-Aware Video Dataset for Active Learning Kiran Kokilepersaud Yash-yee Logan Ryan Benkert Chen Zhou Mohit Prabhushankar Ghassan AlRegib Enrique Corona Kunjan Singh Mostafa Parchami 157 7 0 17 Nov 2023
DADO -- Low-Cost Query Strategies for Deep Active Design OptimizationInternational Conference on Machine Learning and Applications (ICMLA), 2023 J. Decke Christian Gruhl Lukas Rauch Bernhard Sick 201 5 0 10 Jul 2023
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers Lukas Rauch Yi Men Denis Huseljic Moritz Wirth B. Bischl Bernhard Sick 196 15 0 16 Jun 2023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-informationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Jaehyung Kim Yekyung Kim Karin de Langis Jinwoo Shin Luan Tuyen Chau 133 1 0 30 May 2023
A Survey of Active Learning for Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 235 75 0 18 Oct 2022
Continual Learning with Evolving Class OntologiesNeural Information Processing Systems (NeurIPS), 2022 Zhiqiu Lin Deepak Pathak Yu-Xiong Wang Deva Ramanan Shu Kong CLL 219 11 0 10 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 203 15 0 07 Oct 2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active LearningWorkshop on Trolling, Aggression and Cyberbullying (TRAC), 2022 Hannah Rose Kirk Bertie Vidgen Scott A. Hale 126 9 0 21 Sep 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach Yue Yu Rongzhi Zhang Ran Xu Jieyu Zhang Jiaming Shen Chao Zhang 139 24 0 15 Sep 2022
Plex: Towards Reliability using Pretrained Large Model Extensions Dustin Tran J. Liu Michael W. Dusenberry Du Phan Mark Collier ... D. Sculley Y. Gal Zoubin Ghahramani Jasper Snoek Balaji Lakshminarayanan VLM 284 140 0 15 Jul 2022
Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs Stefano Teso Antonio Vergari TPM 140 2 0 17 Feb 2022
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models Yue Yu Lingkai Kong Jieyu Zhang Rongzhi Zhang Chao Zhang 136 2 0 16 Dec 2021
Bayesian Active SummarizationComputer Speech and Language (CSL), 2021 Alexios Gidiotis Grigorios Tsoumakas BDL 177 8 0 09 Oct 2021
Active Refinement for Multi-Label Learning: A Pseudo-Label Approach Cheng-Yu Hsieh Weiliang Lin Miao Xu Gang Niu Hsuan-Tien Lin Masashi Sugiyama LRM 110 1 0 29 Sep 2021
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in ClassificationIEEE Access (IEEE Access), 2021 M. Herde Denis Huseljic Bernhard Sick A. Calma 155 27 0 23 Sep 2021
Active learning for reducing labeling effort in text classification tasks Peter Jacobs Gideon Maillette de Buy Wenniger M. Wiering Lambert Schomaker VLM 148 15 0 10 Sep 2021
ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument AggregationCASE (CASE), 2021 Debanjana Kar S. Sarkar Pawan Goyal 142 3 0 21 Jun 2021
Multi-class Text Classification using BERT-based Active Learning Sumanth Prabhu Moosa Mohamed Hemant Misra 167 45 0 27 Apr 2021
On Statistical Bias In Active Learning: How and When To Fix ItInternational Conference on Learning Representations (ICLR), 2021 Sebastian Farquhar Y. Gal Tom Rainforth TDI HAI 144 91 0 27 Jan 2021
Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient Yekyung Kim UQCV BDL 133 10 0 27 Nov 2020
Deep Active Learning with Augmentation-based Consistency Estimation SeulGi Hong Heonjin Ha Junmo Kim Min-Kook Choi 116 11 0 05 Nov 2020
Active Class Incremental Learning for Imbalanced Datasets Eden Belouadah Adrian Daniel Popescu Umang Aggarwal Léo Saci CLL 126 14 0 25 Aug 2020
Importance of Self-Consistency in Active Learning for Semantic Segmentation S. Golestaneh Kris Kitani SSL 90 43 0 04 Aug 2020
MCAL: Minimum Cost Human-Machine Active LabelingInternational Conference on Learning Representations (ICLR), 2020 Hang Qiu Krishna Chintalapudi Ramesh Govindan 214 7 0 24 Jun 2020
Active Learning for Skewed Data Sets Abbas Kazerouni Qi Zhao Jing Xie Sandeep Tata Marc Najork 106 16 0 23 May 2020
Efficient Deep Representation Learning by Adaptive Latent Space Sampling Yuanhan Mo Shuo Wang Chengliang Dai Rui Zhou Z. Teng Wenjia Bai Wenhan Luo 104 0 0 19 Mar 2020
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Tingting Cai Zhiyuan Ma Hong Zheng Ping He 178 0 0 22 Aug 2019
Partial Or Complete, That's The QuestionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019 Qiang Ning Hangfeng He Chuchu Fan Dan Roth 107 15 0 12 Jun 2019
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study Aditya Siddhant Zachary Chase Lipton AI4CE BDL 229 219 0 16 Aug 2018