Shortcut Learning in Deep Neural Networks

16 April 2020

Wieland Brendel

Papers citing "Shortcut Learning in Deep Neural Networks"

50 / 310 papers shown

Title
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 18 3 0 14 Dec 2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations Raghav Mehta Vítor Albiero Li Chen Ivan Evtimov Tamar Glaser Zhiheng Li Tal Hassner 26 17 0 12 Dec 2022
Feature-Level Debiased Natural Language Understanding Yougang Lyu Piji Li Yechang Yang Maarten de Rijke Pengjie Ren Yukun Zhao Dawei Yin Z. Ren 26 10 0 11 Dec 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 24 35 0 28 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 22 10 0 28 Nov 2022
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data Inha Cha Juhyun Oh Cheul Young Park Jiyoon Han Hwalsuk Lee 21 2 0 28 Nov 2022
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation Liang Zeng A. Lengyel Nergis Tomen J. C. V. Gemert AI4TS 19 0 0 25 Nov 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 32 77 0 21 Nov 2022
Online Distribution Shift Detection via Recency Prediction Rachel Luo Rohan Sinha Yixiao Sun Ali Hindy Shengjia Zhao Silvio Savarese Edward Schmerling Marco Pavone 15 9 0 17 Nov 2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations Linlin Liu Xingxuan Li Megh Thakkar Xin Li Shafiq R. Joty Luo Si Lidong Bing 27 2 0 16 Nov 2022
Harmonizing the object recognition strategies of deep neural networks with humans Thomas Fel Ivan Felipe Drew Linsley Thomas Serre 30 71 0 08 Nov 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? Saadia Gabriel Hamid Palangi Yejin Choi AAML 37 1 0 08 Nov 2022
Fair Visual Recognition via Intervention with Proxy Features Yi Zhang Jitao Sang Junyan Wang 21 1 0 02 Nov 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models Dong-Ho Lee Akshen Kadakia Brihi Joshi Aaron Chan Ziyi Liu ... Takashi Shibuya Ryosuke Mitani Toshiyuki Sekiya Jay Pujara Xiang Ren LRM 40 9 0 30 Oct 2022
Universal Evasion Attacks on Summarization Scoring Wenchuan Mu Kwan Hui Lim AAML 30 1 0 25 Oct 2022
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts Santosh T.Y.S.S Shanshan Xu O. Ichim Matthias Grabmair 23 26 0 25 Oct 2022
Robust Self-Supervised Learning with Lie Groups Mark Ibrahim Diane Bouchacourt Ari S. Morcos SSL OOD 35 6 0 24 Oct 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation Phillip Howard Gadi Singer Vasudev Lal Yejin Choi Swabha Swayamdipta CML 52 25 0 22 Oct 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification Dora Zhao Jerone T. A. Andrews Alice Xiang FaML 28 20 0 21 Oct 2022
Finding Dataset Shortcuts with Grammar Induction Dan Friedman Alexander Wettig Danqi Chen 25 14 0 20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 34 116 0 20 Oct 2022
DOT-VAE: Disentangling One Factor at a Time Vaishnavi Patil Matthew Evanusa J. JáJá CoGe DRL CML 13 1 0 19 Oct 2022
Transformers Learn Shortcuts to Automata Bingbin Liu Jordan T. Ash Surbhi Goel A. Krishnamurthy Cyril Zhang OffRL LRM 32 155 0 19 Oct 2022
Transferable Unlearnable Examples J. Ren Han Xu Yuxuan Wan Xingjun Ma Lichao Sun Jiliang Tang 28 36 0 18 Oct 2022
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh V. Chawla 24 39 0 17 Oct 2022
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage Sami U Hamdan Bradley C. Love G. V. Polier Susanne Weis H. Schwender Simon B. Eickhoff K. Patil 16 8 0 17 Oct 2022
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation Thomas Duboudin Emmanuel Dellandréa Corentin Abgrall Gilles Hénaff Limin Chen TTA 19 1 0 17 Oct 2022
The Debate Over Understanding in AI's Large Language Models Melanie Mitchell D. Krakauer ELM 74 202 0 14 Oct 2022
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning J. Dominic Nandita Bhaskhar Arjun D Desai Andrew M Schmidt E. Rubin ... G. Gold B. Hargreaves L. Lenchik R. Boutin Akshay S. Chaudhari 13 0 0 14 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content! Stefan Smeu Elena Burceanu Andrei Liviu Nicolicioiu Emanuela Haller 27 4 0 06 Oct 2022
ChemAlgebra: Algebraic Reasoning on Chemical Reactions Andrea Valenti D. Bacciu Antonio Vergari OOD LRM 32 0 0 05 Oct 2022
Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia K. Nguyen Ali Furkan Biten Andrés Mafla Lluís Gómez Dimosthenis Karatzas 28 10 0 21 Sep 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 29 6 0 20 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 29 10 0 20 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 37 7 0 19 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Y. Qian Yanfang Ye Chuxu Zhang SSL 17 6 0 16 Sep 2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System Xin Li Yao Qiang Chengyin Li Sijia Liu D. Zhu OOD MedIm 29 4 0 09 Sep 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 30 46 0 18 Aug 2022
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset Zhihua Jin Xingbo Wang Furui Cheng Chunhui Sun Qun Liu Huamin Qu 32 9 0 17 Aug 2022
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning Haoyuan He Wang-Zhou Dai Ming Li AI4CE 29 2 0 14 Aug 2022
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning Trenton Chang Michael Sjoding Jenna Wiens 22 11 0 01 Aug 2022
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization Haolin Pan Yong Guo Qinyi Deng Hao-Fan Yang Yiqun Chen Jian Chen SSL 18 19 0 30 Jul 2022
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis Teng Sun Wenjie Wang Liqiang Jing Yiran Cui Xuemeng Song Liqiang Nie OODD 24 35 0 24 Jul 2022
Leakage and the Reproducibility Crisis in ML-based Science Sayash Kapoor Arvind Narayanan 25 177 0 14 Jul 2022
Tutorial on the development of AI models for medical image analysis Thijs Kooi MedIm 14 0 0 14 Jul 2022
Can Language Models perform Abductive Commonsense Reasoning? Seung-Kyum Kim ReLM LRM 21 1 0 07 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 18 89 0 29 Jun 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 16 20 0 29 Jun 2022
Evaluating Understanding on Conceptual Abstraction Benchmarks Victor Vikram Odouard Melanie Mitchell ELM 16 15 0 28 Jun 2022
Guiding Visual Attention in Deep Convolutional Neural Networks Based on Human Eye Movements Leonard E. van Dyck Sebastian J. Denzler W. Gruber 7 9 0 21 Jun 2022