Contrastive Learning for Prompt-Based Few-Shot Language Learners

3 May 2022

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Papers citing "Contrastive Learning for Prompt-Based Few-Shot Language Learners"

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Title
Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language Jesus Alvarez C Daua D. Karajeanes Ashley Celeste Prado John Ruttan Ivory Yang Sean O'Brien Vasu Sharma Kevin Zhu SyDa 56 0 0 10 May 2025
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction Xinmeng Hou Lingyue Fu Chenhao Meng Hai Hu Wuqi Wang Hai Hu 149 0 0 29 Nov 2024
Prompt-enhanced Network for Hateful Meme Classification Junxi Liu Yanyan Feng Jiehai Chen Yun Xue Fenghuan Li VLM 111 0 0 12 Nov 2024
Label Hallucination for Few-Shot Classification Yiren Jian Lorenzo Torresani 76 40 0 06 Dec 2021
MetaPix: Domain Transfer for Semantic Segmentation by Meta Pixel Weighting Yiren Jian Chongyang Gao 76 4 0 05 Oct 2021
Semi-Supervised Few-Shot Intent Classification and Slot Filling S. Basu Karine lp Kiun Chong Amr Sharaf Alex Fischer Vishal Rohra Michael Amoake Hazem El-Hammamy Ehimwenma Nosakhare Vijay Ramani Benjamin Han VLM 97 6 0 17 Sep 2021
AEDA: An Easier Data Augmentation Technique for Text Classification Akbar Karimi L. Rossi Andrea Prati 83 157 0 30 Aug 2021
Towards Understanding and Mitigating Social Biases in Language Models Paul Pu Liang Chiyu Wu Louis-Philippe Morency Ruslan Salakhutdinov 102 397 0 24 Jun 2021
Bootstrapping Semantic Segmentation with Regional Contrast Shikun Liu Shuaifeng Zhi Edward Johns Andrew J. Davison ISeg 68 124 0 09 Apr 2021
Few-shot learning through contextual data augmentation Farid Arthaud Rachel Bawden Alexandra Birch 45 12 0 31 Mar 2021
Improving and Simplifying Pattern Exploiting Training Derek Tam Rakesh R Menon Joey Tianyi Zhou Shashank Srivastava Colin Raffel 78 151 0 22 Mar 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 409 1,981 0 31 Dec 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Tsendsuren Munkhdalai Andrew McCallum SSL VLM 106 88 0 17 Sep 2020
LoCo: Local Contrastive Representation Learning Yuwen Xiong Mengye Ren R. Urtasun SSL DRL 84 70 0 04 Aug 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 120 1,338 0 20 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 184 4,587 0 23 Apr 2020
Meta-Learning for Few-Shot NMT Adaptation Amr Sharaf Hany Hassan Hal Daumé 59 35 0 06 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 402 18,913 0 13 Feb 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 359 1,622 0 21 Jan 2020
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 184 1,056 0 23 Oct 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 80 85 0 09 Oct 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 186 2,412 0 13 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 629 4,814 0 13 May 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Jason W. Wei Kai Zou 119 1,964 0 31 Jan 2019
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 318 9,815 0 25 Oct 2017