Active Learning by Acquiring Contrastive Examples

Active Learning by Acquiring Contrastive Examples

8 September 2021

Katerina Margatina

Giorgos Vernikos

Nikolaos Aletras

Papers citing "Active Learning by Acquiring Contrastive Examples"

18 / 18 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 109 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 97 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 320 0 0 28 Jan 2025
Efficient Biological Data Acquisition through Inference Set Design Ihor Neporozhnii Julien Roy Emmanuel Bengio Jason Hartford 59 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 95 8 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 48 10 0 18 Jun 2024
Online Bandit Learning with Offline Preference Data for Improved RLHF Akhil Agnihotri Rahul Jain Deepak Ramachandran Zheng Wen OffRL 97 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 100 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 58 24 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 39 90 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 31 53 0 20 Jan 2021
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 40 502 0 03 Nov 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan D. Song OOD 114 430 0 13 Apr 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 266 295 0 17 Mar 2020
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 55 567 0 26 Sep 2019
Diverse mini-batch Active Learning Fedor Zhdanov 49 153 0 17 Jan 2019
Adversarial Active Learning for Deep Networks: a Margin Based Approach Mélanie Ducoffe F. Precioso GAN AAML 73 272 0 27 Feb 2018
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 273 33,445 0 16 Oct 2013