Deep Learning Through the Lens of Example Difficulty

17 June 2021

Hartmut Maennel

Papers citing "Deep Learning Through the Lens of Example Difficulty"

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Title
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds Michael-Andrei Panaitescu-Liess Yigitcan Kaya Sicheng Zhu Furong Huang Tudor Dumitras AAML 37 0 0 02 Apr 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 45 0 0 10 Mar 2025
QE4PE: Word-level Quality Estimation for Human Post-Editing Gabriele Sarti Vilém Zouhar Grzegorz Chrupała Ana Guerberof Arenas Malvina Nissim Arianna Bisazza 41 0 0 04 Mar 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves Timothee Mickus Aman Sinha Raúl Vázquez 53 0 0 03 Mar 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 54 0 0 25 Feb 2025
On Memorization in Diffusion Models Xiangming Gu Chao Du Tianyu Pang Chongxuan Li Min-Bin Lin Ye Wang DiffM TDI 166 43 0 21 Feb 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 59 0 0 10 Feb 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
Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution Maohua Yan Ruicheng Wang Ke Liu 64 1 0 15 Dec 2024
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 88 5 0 05 Dec 2024
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning Simon Rampp M. Milling Andreas Triantafyllopoulos Björn Schuller 31 1 0 01 Nov 2024
On the Role of Depth and Looping for In-Context Learning with Task Diversity Khashayar Gatmiry Nikunj Saunshi Sashank J. Reddi Stefanie Jegelka Sanjiv Kumar 29 2 0 29 Oct 2024
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark Thomas George Pierre Nodet A. Bondu Vincent Lemaire VLM 32 0 0 21 Oct 2024
On the Regularization of Learnable Embeddings for Time Series Forecasting L. Butera G. Felice Andrea Cini C. Alippi AI4TS 29 0 0 18 Oct 2024
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws Yiding Jiang Allan Zhou Zhili Feng Sadhika Malladi J. Zico Kolter 39 15 0 15 Oct 2024
Mitigating Memorization In Language Models Mansi Sakarvadia Aswathy Ajith Arham Khan Nathaniel Hudson Caleb Geniesse Kyle Chard Yaoqing Yang Ian Foster Michael W. Mahoney KELM MU 58 0 0 03 Oct 2024
Speculative Coreset Selection for Task-Specific Fine-tuning Xiaoyu Zhang Juan Zhai Shiqing Ma Chao Shen Tianlin Li Weipeng Jiang Yang Liu 30 1 0 02 Oct 2024
Localizing Memorization in SSL Vision Encoders Wenhao Wang Adam Dziedzic Michael Backes Franziska Boenisch 34 2 0 27 Sep 2024
Are Sparse Neural Networks Better Hard Sample Learners? Q. Xiao Boqian Wu Lu Yin Christopher Neil Gadzinski Tianjin Huang Mykola Pechenizkiy D. Mocanu 37 1 0 13 Sep 2024
Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks Verna Dankers Ivan Titov 40 5 0 09 Aug 2024
Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models Mohammadreza Tayaranian S. H. Mozafari Brett H. Meyer J. Clark Warren J. Gross 27 1 0 11 Jul 2024
Integrated feature analysis for deep learning interpretation and class activation maps Yanli Li Tahereh Hassanzadeh D. Shamonin Monique Reijnierse A. H. V. D. H. Mil B. Stoel 38 0 0 01 Jul 2024
Dynamic Data Pruning for Automatic Speech Recognition Q. Xiao Pingchuan Ma Adriana Fernandez-Lopez Boqian Wu Lu Yin Stavros Petridis Mykola Pechenizkiy Maja Pantic D. Mocanu Shiwei Liu 23 1 0 26 Jun 2024
Forgetting Order of Continual Learning: Examples That are Learned First are Forgotten Last Guy Hacohen Tinne Tuytelaars 27 2 0 14 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models Dominik Hintersdorf Lukas Struppek Kristian Kersting Adam Dziedzic Franziska Boenisch 31 11 0 04 Jun 2024
Cascade-Aware Training of Language Models Congchao Wang Sean Augenstein Keith Rush Wittawat Jitkrittum Harikrishna Narasimhan A. S. Rawat A. Menon Alec Go 33 4 0 29 May 2024
Exploring the Evolution of Hidden Activations with Live-Update Visualization Xianglin Yang Jin Song Dong 30 0 0 24 May 2024
Learnable Privacy Neurons Localization in Language Models Ruizhe Chen Tianxiang Hu Yang Feng Zuo-Qiang Liu 41 12 0 16 May 2024
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version David Campos Bin Yang Tung Kieu Miao Zhang Chenjuan Guo Christian S. Jensen 39 7 0 22 Apr 2024
Simultaneous linear connectivity of neural networks modulo permutation Ekansh Sharma Devin Kwok Tom Denton Daniel M. Roy David Rolnick Gintare Karolina Dziugaite 189 7 0 09 Apr 2024
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation Kudaibergen Abutalip Numan Saeed I. Sobirov Vincent Andrearczyk A. Depeursinge Mohammad Yaqub UQCV 32 0 0 25 Mar 2024
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress Ameya Prabhu Vishaal Udandarao Philip H. S. Torr Matthias Bethge Adel Bibi Samuel Albanie 34 3 0 29 Feb 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Mengnan Du XAI 40 8 0 09 Jan 2024
Dataset Difficulty and the Role of Inductive Bias Devin Kwok Nikhil Anand Jonathan Frankle Gintare Karolina Dziugaite David Rolnick 40 5 0 03 Jan 2024
Influence Scores at Scale for Efficient Language Data Sampling Nikhil Anand Joshua Tan Maria Minakova TDI 32 3 0 27 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 17 1 0 06 Nov 2023
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision Jiaxin Zhang Zhuohang Li Kamalika Das Kumar Sricharan 23 2 0 31 Oct 2023
Adaptivity and Modularity for Efficient Generalization Over Task Complexity Samira Abnar Omid Saremi Laurent Dinh Shantel Wilson Miguel Angel Bautista ... Vimal Thilak Etai Littwin Jiatao Gu Josh Susskind Samy Bengio 34 5 0 13 Oct 2023
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning A. Maharana Prateek Yadav Mohit Bansal 21 28 0 11 Oct 2023
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels Ke Wang Guillermo Ortiz-Jimenez Rodolphe Jenatton Mark Collier Efi Kokiopoulou Pascal Frossard AAML 26 2 0 10 Oct 2023
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics Yupei Du Albert Gatt Dong Nguyen 24 1 0 10 Oct 2023
What do larger image classifiers memorise? Michal Lukasik Vaishnavh Nagarajan A. S. Rawat A. Menon Sanjiv Kumar 30 5 0 09 Oct 2023
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation Yizhe Xiong Hui Chen Zijia Lin Sicheng Zhao Guiguang Ding 30 8 0 27 Sep 2023
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing Jinwen He Kai Chen Guozhu Meng Jiangshan Zhang Congyi Li FAtt AAML 27 2 0 09 Sep 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples Suqin Yuan Lei Feng Tongliang Liu NoLa 32 11 0 26 Aug 2023
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers Haomin Zhuang Mingxian Yu Hao Wang Yang Hua Jian Li Xu Yuan FedML 24 9 0 08 Aug 2023
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation Yongkang He Mingjin Chen Zhi-Yi Yang Yongyi Lu 34 2 0 02 Aug 2023
Can Neural Network Memorization Be Localized? Pratyush Maini Michael C. Mozer Hanie Sedghi Zachary Chase Lipton J. Zico Kolter Chiyuan Zhang TDI 38 46 0 18 Jul 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 25 20 0 18 Jul 2023