Shortcut Learning in Deep Neural Networks

16 April 2020

Wieland Brendel

Papers citing "Shortcut Learning in Deep Neural Networks"

50 / 332 papers shown

Title
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 52 0 0 15 Jun 2024
The 3D-PC: a benchmark for visual perspective taking in humans and machines Drew Linsley Peisen Zhou A. Ashok Akash Nagaraj Gaurav Gaonkar Francis E Lewis Zygmunt Pizlo Thomas Serre 48 6 0 06 Jun 2024
Harder or Different? Understanding Generalization of Audio Deepfake Detection Nicolas M. Muller Nicholas W. D. Evans Hemlata Tak Philip Sperl Konstantin Böttinger 27 3 0 05 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 77 3 0 05 Jun 2024
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation Junehyoung Kwon Eunju Lee Yunsung Cho Youngbin Kim 48 4 0 28 May 2024
Demystifying amortized causal discovery with transformers Francesco Montagna Max Cairney-Leeming Dhanya Sridhar Francesco Locatello CML 57 1 0 27 May 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 73 5 0 26 May 2024
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory Nikola Zubić Federico Soldá Aurelio Sulser Davide Scaramuzza LRM BDL 52 5 0 26 May 2024
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables James Hinns David Martens 43 2 0 24 May 2024
Eliciting Informative Text Evaluations with Large Language Models Yuxuan Lu Shengwei Xu Yichi Zhang Yuqing Kong Grant Schoenebeck 34 5 0 23 May 2024
Explaining Text Similarity in Transformer Models Alexandros Vasileiou Oliver Eberle 43 7 0 10 May 2024
Learned feature representations are biased by complexity, learning order, position, and more Andrew Kyle Lampinen Stephanie C. Y. Chan Katherine Hermann AI4CE FaML SSL OOD 34 6 0 09 May 2024
Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models Fares Abawi Di Fu Stefan Wermter 30 0 0 05 May 2024
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis Diogo J. Araújo M. R. Verdelho Alceu Bissoto Jacinto C. Nascimento Carlos Santiago Catarina Barata 32 1 0 02 May 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models Nishad Singhi Jae Myung Kim Karsten Roth Zeynep Akata 48 1 0 02 May 2024
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning? Shruthi Gowda Elahe Arani Bahram Zonooz 33 1 0 15 Apr 2024
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials Mael Jullien Marco Valentino André Freitas LM&MA 41 41 0 07 Apr 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 40 2 0 06 Apr 2024
Transfer Learning for T-Cell Response Prediction Josua Stadelmaier Brandon Malone Ralf Eggeling 26 0 0 18 Mar 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations GuanWen Qiu Da Kuang Surbhi Goel 27 8 0 05 Mar 2024
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 100 18 0 04 Mar 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 43 7 0 04 Feb 2024
Navigating the OverKill in Large Language Models Chenyu Shi Xiao Wang Qiming Ge Songyang Gao Xianjun Yang Tao Gui Qi Zhang Xuanjing Huang Xun Zhao Dahua Lin 19 11 0 31 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 34 78 0 25 Jan 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization Guanglin Zhou Zhongyi Han Shiming Chen Erdun Gao Liming Zhu Tongliang Liu Lina Yao Anton van den Hengel 32 3 0 18 Jan 2024
SENet: Visual Detection of Online Social Engineering Attack Campaigns Irfan Ozen Karthika Subramani Phani Vadrevu R. Perdisci 36 2 0 10 Jan 2024
End-to-End Anti-Backdoor Learning on Images and Time Series Yujing Jiang Xingjun Ma S. Erfani Yige Li James Bailey 40 1 0 06 Jan 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift Benjamin Eyre Elliot Creager David Madras Antonio Torralba Katherine Heller OOD OODD 34 1 0 29 Dec 2023
The Adaptive Arms Race: Redefining Robustness in AI Security Ilias Tsingenopoulos Vera Rimmer Davy Preuveneers Fabio Pierazzi Lorenzo Cavallaro Wouter Joosen AAML 72 0 0 20 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 78 5 0 13 Dec 2023
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning Cheng Liang Donghua Yang Zhiyu Liang Hongzhi Wang Zheng Liang Xiyang Zhang Jianfeng Huang AI4TS 152 1 0 09 Dec 2023
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 21 118 0 08 Dec 2023
Relational Deep Learning: Graph Representation Learning on Relational Databases Matthias Fey Weihua Hu Kexin Huang J. E. Lenssen Rishabh Ranjan Joshua Robinson Rex Ying Jiaxuan You J. Leskovec GNN 40 30 0 07 Dec 2023
Identifying Spurious Correlations using Counterfactual Alignment Joseph Paul Cohen Louis Blankemeier Akshay S. Chaudhari CML 55 1 0 01 Dec 2023
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding Wujian Peng Sicheng Xie Zuyao You Shiyi Lan Zuxuan Wu VLM CoGe MLLM 28 18 0 30 Nov 2023
Labeling Neural Representations with Inverse Recognition Kirill Bykov Laura Kopf Shinichi Nakajima Marius Kloft Marina M.-C. Höhne BDL 24 15 0 22 Nov 2023
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification Yunlong Zhang Honglin Li Yuxuan Sun Sunyi Zheng Chenglu Zhu Lin Yang 25 27 0 13 Nov 2023
Generalization in medical AI: a perspective on developing scalable models Joachim A. Behar Jeremy Levy Leo Anthony Celi OOD 27 6 0 09 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 31 4 0 08 Nov 2023
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection Mohammad Azizmalayeri Reza Abbasi Amir Hosein Haji Mohammad Rezaie Reihaneh Zohrabi Mahdi Amiri M. T. Manzuri M. Rohban 19 0 0 31 Oct 2023
Segue: Side-information Guided Generative Unlearnable Examples for Facial Privacy Protection in Real World Zhiling Zhang Jie Zhang Kui Zhang Wenbo Zhou Weiming Zhang Neng H. Yu 20 1 0 24 Oct 2023
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning Lucas Weber Elia Bruni Dieuwke Hupkes 30 24 0 20 Oct 2023
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs Chenyang Yang Rishabh Rustogi Rachel A. Brower-Sinning Grace A. Lewis Christian Kastner Tongshuang Wu KELM 32 11 0 14 Oct 2023
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations Alexa R. Tartaglini Sheridan Feucht Michael A. Lepori Wai Keen Vong Charles Lovering Brenden Lake Ellie Pavlick ViT OOD 33 3 0 14 Oct 2023
The benefits and costs of explainable artificial intelligence in visual quality control: Evidence from fault detection performance and eye movements Romy Müller David F. Reindel Yannick D. Stadtfeld 14 4 0 02 Oct 2023
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning Mustafa Shukor Alexandre Ramé Corentin Dancette Matthieu Cord LRM MLLM 38 20 0 01 Oct 2023
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 59 8 0 28 Sep 2023
Environment-biased Feature Ranking for Novelty Detection Robustness Stefan Smeu Elena Burceanu Emanuela Haller Andrei Liviu Nicolicioiu OOD 36 0 0 21 Sep 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 28 5 0 13 Sep 2023