Active Learning by Acquiring Contrastive Examples

8 September 2021

Papers citing "Active Learning by Acquiring Contrastive Examples"

41 / 41 papers shown

Title
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 232 0 0 23 May 2025
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning Jiaxin Guo Cheng Chen Shuzhen Li Tianze Zhang 119 0 0 01 Feb 2025
Hands-On Tutorial: Labeling with LLM and Human-in-the-Loop Ekaterina Artemova Akim Tsvigun Dominik Schlechtweg Natalia Fedorova Konstantin Chernyshev Sergei Tilga Boris Obmoroshev SyDa VLM 364 0 0 28 Jan 2025
Efficient Biological Data Acquisition through Inference Set Design Ihor Neporozhnii Julien Roy Emmanuel Bengio Jason Hartford 80 1 0 25 Oct 2024
Can Unconfident LLM Annotations Be Used for Confident Conclusions? Kristina Gligorić Tijana Zrnic Cinoo Lee Emmanuel J. Candès Dan Jurafsky 128 11 0 27 Aug 2024
The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions Stefan Sylvius Wagner Maike Behrendt Marc Ziegele Stefan Harmeling 64 11 0 18 Jun 2024
Online Bandit Learning with Offline Preference Data for Improved RLHF Akhil Agnihotri Rahul Jain Deepak Ramachandran Zheng Wen OffRL 168 2 0 13 Jun 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 109 3 0 02 May 2024
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning Rongzhi Zhang Yue Yu Pranav Shetty Le Song Chao Zhang 99 25 0 18 Mar 2022
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering Siddharth Karamcheti Ranjay Krishna Li Fei-Fei Christopher D. Manning 81 92 0 06 Jul 2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates Artem Shelmanov Dmitri Puzyrev L. Kupriyanova D. Belyakov Daniil Larionov Nikita Khromov Olga Kozlova Ekaterina Artemova Dmitry V. Dylov Alexander Panchenko BDL UQLM UQCV 59 54 0 20 Jan 2021
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 60 505 0 03 Nov 2020
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 174 184 0 19 Oct 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics Swabha Swayamdipta Roy Schwartz Nicholas Lourie Yizhong Wang Hannaneh Hajishirzi Noah A. Smith Yejin Choi 95 448 0 22 Sep 2020
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space Dongyu Ru Yating Luo Lin Qiu Hao Zhou Mingxuan Wang Weinan Zhang Yong Yu Lei Li 57 29 0 17 Apr 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan D. Song OOD 188 434 0 13 Apr 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 288 300 0 17 Mar 2020
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping Jesse Dodge Gabriel Ilharco Roy Schwartz Ali Farhadi Hannaneh Hajishirzi Noah A. Smith 97 595 0 15 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 364 18,752 0 13 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 86 569 0 26 Sep 2019
Discriminative Active Learning Daniel Gissin Shai Shalev-Shwartz 50 178 0 15 Jul 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Andreas Kirsch Joost R. van Amersfoort Y. Gal FedML 87 627 0 19 Jun 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 85 773 0 09 Jun 2019
Diverse mini-batch Active Learning Fedor Zhdanov 57 155 0 17 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,770 0 11 Oct 2018
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study Aditya Siddhant Zachary Chase Lipton AI4CE BDL 61 206 0 16 Aug 2018
Practical Obstacles to Deploying Active Learning David Lowell Zachary Chase Lipton Byron C. Wallace 82 111 0 12 Jul 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 318 10,284 0 10 Jul 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,154 0 20 Apr 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach Mélanie Ducoffe F. Precioso GAN AAML 138 274 0 27 Feb 2018
Deep Active Learning over the Long Tail Yonatan Geifman Ran El-Yaniv 3DPC 65 143 0 02 Nov 2017
PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts Franck Dernoncourt Ji Young Lee 62 228 0 17 Oct 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach Meng Fang Yuan Li Trevor Cohn 52 285 0 08 Aug 2017
A Continuously Growing Dataset of Sentential Paraphrases Wuwei Lan Siyu Qiu Hua He Wei Xu LRM 68 167 0 01 Aug 2017
Deep Active Learning for Named Entity Recognition Yanyao Shen Hyokun Yun Zachary Chase Lipton Y. Kronrod Anima Anandkumar HAI 83 457 0 19 Jul 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 70 1,735 0 08 Mar 2017
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 266 6,107 0 04 Sep 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,306 0 06 Jun 2015
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 394 33,521 0 16 Oct 2013
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 112 912 0 24 Dec 2011