Learning from others' mistakes: Avoiding dataset biases without modeling them

2 December 2020

Papers citing "Learning from others' mistakes: Avoiding dataset biases without modeling them"

25 / 75 papers shown

Title
Towards Explanation for Unsupervised Graph-Level Representation Learning Qinghua Zheng Jihong Wang Minnan Luo Yaoliang Yu Jundong Li L. Yao Xiao Chang 61 1 0 20 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 67 21 0 28 Apr 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 102 13 0 05 Apr 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 95 68 0 24 Mar 2022
ZIN: When and How to Learn Invariance Without Environment Partition? Yong Lin Shengyu Zhu Lu Tan Peng Cui OOD CML 88 69 0 11 Mar 2022
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective Shihan Dou Rui Zheng Ting Wu Songyang Gao Junjie Shan Qi Zhang Yueming Wu Xuanjing Huang 111 8 0 16 Feb 2022
General Greedy De-bias Learning Xinzhe Han Shuhui Wang Chi Su Qingming Huang Qi Tian 109 9 0 20 Dec 2021
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 66 9 0 25 Nov 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods Ruibin Xiong Yimeng Chen Liang Pang Xueqi Chen Yanyan Lan 50 21 0 07 Nov 2021
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding Mengnan Du Subhabrata Mukherjee Yu Cheng Milad Shokouhi Helen Zhou Ahmed Hassan Awadallah 101 13 0 16 Oct 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics Prajjwal Bhargava Aleksandr Drozd Anna Rogers 159 108 0 04 Oct 2021
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation Md. Akmal Haidar Nithin Anchuri Mehdi Rezagholizadeh Abbas Ghaddar Philippe Langlais Pascal Poupart 111 22 0 21 Sep 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 128 36 0 09 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible Michael J. Mendelson Yonatan Belinkov 93 23 0 09 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training Abbas Ghaddar Philippe Langlais Mehdi Rezagholizadeh Ahmad Rashid UQCV 74 38 0 05 Sep 2021
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques Hossein Amirkhani Mohammad Taher Pilehvar 52 5 0 01 Sep 2021
A Generative Approach for Mitigating Structural Biases in Natural Language Inference Dimion Asael Zachary M. Ziegler Yonatan Belinkov 46 8 0 31 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 124 44 0 24 Jul 2021
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets Irene Solaiman Christy Dennison 115 226 0 18 Jun 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 82 8 0 15 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers Yujia Bao Shiyu Chang Regina Barzilay 76 21 0 26 May 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 113 90 0 12 May 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 75 48 0 16 Apr 2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles Robik Shrestha Jinkyu Lee Kushal Kafle S. Hwang Il Yong Chun 79 1 0 01 Apr 2021
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance Nikolay Dagaev Brett D. Roads Xiaoliang Luo Daniel N. Barry Kaustubh R. Patil Bradley C. Love 66 9 0 12 Feb 2021