Shortcut Learning in Deep Neural Networks

16 April 2020

Wieland Brendel

Papers citing "Shortcut Learning in Deep Neural Networks"

50 / 310 papers shown

Title
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety Zihan Guan Mengxuan Hu Ronghang Zhu Sheng R. Li Anil Vullikanti AAML 26 0 0 11 May 2025
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection Moritz Vandenhirtz Julia E. Vogt 35 0 0 09 May 2025
OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging Sifan Song Siyeop Yoon Pengfei Jin Sekeun Kim Matthew Tivnan ... Zhiliang Lyu Dufan Wu Ning Guo Xiang Li Quanzheng Li OOD ViT 64 0 0 08 May 2025
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Shashank Agnihotri Amaan Ansari Annika Dackermann Fabian Rösch M. Keuper 50 0 0 08 May 2025
No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves D. Jiang Mengmeng Wang Liuzhuozheng Li Lei Zhang Haoyu Wang Wei Wei Guang Dai Yanning Zhang Jingdong Wang DiffM 51 0 0 05 May 2025
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective Taoyu Su Jiawei Sheng Duohe Ma Xiaodong Li Juwei Yue Mengxiao Song Yingkai Tang Tingwen Liu 33 0 0 28 Apr 2025
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models X. Wang Haoyang Li Zeyang Zhang H. Chen Wenwu Zhu LRM 84 0 0 28 Apr 2025
Learning to Drive from a World Model Mitchell Goff Greg Hogan George Hotz Armand du Parc Locmaria Kacper Raczy Harald Schäfer Adeeb Shihadeh Weixing Zhang Yassine Yousfi 36 0 0 27 Apr 2025
Revisiting Data Auditing in Large Vision-Language Models Hongyu Zhu Sichu Liang W. Wang Boheng Li Tongxin Yuan Fangqi Li Shilin Wang Zhuosheng Zhang VLM 167 0 0 25 Apr 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 64 1 0 24 Apr 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 136 0 0 24 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui H. Zhang Chi Zhang 83 0 0 12 Mar 2025
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization Shunxin Wang Raymond N. J. Veldhuis N. Strisciuglio VLM 71 0 0 05 Mar 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data Haoxin Li Boyang Li CoGe 73 0 0 03 Mar 2025
The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition Otto Brookes Maksim Kukushkin Majid Mirmehdi Colleen Stephens Paula Dieguez ... Lukas Boesch Thomas Schmid M. Arandjelovic H. Kühl T. Burghardt 46 0 0 28 Feb 2025
Testing the limits of fine-tuning to improve reasoning in vision language models Luca M. Schulze Buschoff Konstantinos Voudouris Elif Akata Matthias Bethge Joshua B. Tenenbaum Eric Schulz LRM VLM Presented at ResearchTrend Connect \| VLM on 14 Mar 2025 122 0 1 24 Feb 2025
CR-CTC: Consistency regularization on CTC for improved speech recognition Zengwei Yao Wei Kang Xiaoyu Yang Fangjun Kuang Liyong Guo Han Zhu Zengrui Jin Zhaoqing Li Long Lin Daniel Povey 51 0 0 17 Feb 2025
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions Sujan Sai Gannamaneni Rohil Prakash Rao Michael Mock Maram Akila Stefan Wrobel AAML 136 0 0 17 Feb 2025
LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning Tianshi Zheng Jiayang Cheng Chunyang Li Haochen Shi Z. Wang Jiaxin Bai Y. Song Ginny Y. Wong Simon See LRM 46 2 0 16 Feb 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 61 2 0 16 Feb 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 56 0 0 10 Feb 2025
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free Gian Mario Favero Parham Saremi Emily Kaczmarek Brennan Nichyporuk Tal Arbel DiffM MedIm 65 0 0 06 Feb 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 43 4 0 28 Jan 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 59 2 0 28 Jan 2025
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment Chaoqi Wang Zhuokai Zhao Yibo Jiang Zhaorun Chen Chen Zhu ... Jiayi Liu Lizhu Zhang Xiangjun Fan Hao Ma Sinong Wang 77 3 0 17 Jan 2025
Refining Skewed Perceptions in Vision-Language Models through Visual Representations Haocheng Dai Sarang Joshi VLM 68 0 0 03 Jan 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations Chenyu You Haocheng Dai Yifei Min Jasjeet Sekhon S. Joshi James S. Duncan 60 2 0 01 Jan 2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Hashmath Shaik Alex Doboli OffRL ELM 146 0 0 31 Dec 2024
ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty Qing Zong Z. Wang Tianshi Zheng Xiyu Ren Y. Song 62 1 0 31 Dec 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 143 0 0 01 Dec 2024
Explaining the Impact of Training on Vision Models via Activation Clustering Ahcène Boubekki Samuel G. Fadel Sebastian Mair 89 0 0 29 Nov 2024
Benchmarking LLMs' Judgments with No Gold Standard Shengwei Xu Yuxuan Lu Grant Schoenebeck Yuqing Kong 34 1 0 11 Nov 2024
Learning from Convolution-based Unlearnable Datasets Dohyun Kim Pedro Sandoval-Segura MU 91 1 0 04 Nov 2024
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 136 2 0 30 Oct 2024
InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models H. Li Xiaogeng Liu SILM 42 4 0 30 Oct 2024
AAAR-1.0: Assessing AI's Potential to Assist Research Renze Lou Hanzi Xu Sijia Wang Jiangshu Du Ryo Kamoi ... Xi Li K. Zhang Congying Xia Lifu Huang Wenpeng Yin 35 5 0 29 Oct 2024
Cross-Entropy Is All You Need To Invert the Data Generating Process Patrik Reizinger Alice Bizeul Attila Juhos Julia E. Vogt Randall Balestriero Wieland Brendel David Klindt SSL OOD BDL DRL 102 3 0 29 Oct 2024
Study on the Helpfulness of Explainable Artificial Intelligence Tobias Labarta Elizaveta Kulicheva Ronja Froelian Christian Geißler Xenia Melman Julian von Klitzing ELM 31 0 0 14 Oct 2024
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 34 3 0 08 Oct 2024
Organizing Unstructured Image Collections using Natural Language Mingxuan Liu Zhun Zhong Jun Li Gianni Franchi Subhankar Roy Elisa Ricci VLM 39 3 0 07 Oct 2024
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 46 1 0 04 Oct 2024
Co-occurrence is not Factual Association in Language Models Xiao Zhang Miao Li Ji Wu KELM 66 2 0 21 Sep 2024
From Lists to Emojis: How Format Bias Affects Model Alignment Xuanchang Zhang Wei Xiong Lichang Chen Tianyi Zhou Heng Huang Tong Zhang ALM 33 10 0 18 Sep 2024
MePT: Multi-Representation Guided Prompt Tuning for Vision-Language Model Xinyang Wang Yi Yang Minfeng Zhu Kecheng Zheng Shi Liu Wei Chen VPVLM MLLM VLM 47 1 0 19 Aug 2024
On the Evaluation Consistency of Attribution-based Explanations Jiarui Duan Haoling Li Haofei Zhang Hao Jiang Mengqi Xue Li Sun Mingli Song Jie Song XAI 46 0 0 28 Jul 2024
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences Soroush Mehraban Mohammad Javad Rajabi Babak Taati 3DPC 29 0 0 15 Jul 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding Mang Ning A. A. Salah Itir Onal Ertugrul CVBM 75 4 0 15 Jul 2024
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation Zhilin Zhu Xiaopeng Hong Zhiheng Ma Weijun Zhuang Yaohui Ma Yong Dai Yaowei Wang CLL TTA 35 2 0 12 Jul 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 40 0 0 15 Jun 2024