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Cold Case: The Lost MNIST Digits

25 May 2019

Papers citing "Cold Case: The Lost MNIST Digits"

50 / 68 papers shown

Title
The Sample Complexity of Parameter-Free Stochastic Convex Optimization Jared Lawrence Ari Kalinsky Hannah Bradfield Y. Carmon Oliver Hinder 26 0 0 12 Jun 2025
How Can I Publish My LLM Benchmark Without Giving the True Answers Away? Takashi Ishida Thanawat Lodkaew Ikko Yamane 214 0 0 23 May 2025
Mitigating covariate shift in non-colocated data with learned parameter priors Behraj Khan Behroz Mirza Nouman Durrani T. Syed 35 0 0 10 Nov 2024
Benchmark Data Repositories for Better Benchmarking Rachel Longjohn Markelle Kelly Sameer Singh Padhraic Smyth 85 2 0 31 Oct 2024
SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets Toby Dylan Hocking Gabrielle Thibault Cameron Scott Bodine Paul Nelson Arellano Alexander F Shenkin Olivia Jasmine Lindly OOD 31 0 0 11 Oct 2024
Tensor tree learns hidden relational structures in data to construct generative models Kenji Harada Tsuyoshi Okubo Naoki Kawashima 104 4 0 20 Aug 2024
Multiple Instance Verification Xin Xu Eibe Frank G. Holmes 52 0 0 09 Jul 2024
Tree-based Ensemble Learning for Out-of-distribution Detection Zhaiming Shen Menglun Wang Guang Cheng Ming-Jun Lai Lin Mu Ruihao Huang Qi Liu Hao Zhu OODD 38 0 0 05 May 2024
Predicting the Performance of Foundation Models via Agreement-on-the-Line Aman Mehra Rahul Saxena Taeyoun Kim Christina Baek Zico Kolter Aditi Raghunathan UQCV 84 2 0 02 Apr 2024
Academic competitions H. J. Escalante Aleksandra Kruchinina AI4CE 75 0 0 01 Dec 2023
DMLR: Data-centric Machine Learning Research -- Past, Present and Future Luis Oala M. Maskey Lilith Bat-Leah Alicia Parrish Nezihe Merve Gürel ... Lora Aroyo Ce Zhang Joaquin Vanschoren Isabelle Guyon Peter Mattson AI4CE 83 13 0 21 Nov 2023
Computing Marginal and Conditional Divergences between Decomposable Models with Applications Loong Kuan Lee Geoffrey I. Webb Daniel F. Schmidt Nico Piatkowski 43 0 0 13 Oct 2023
Mechanism of feature learning in convolutional neural networks Daniel Beaglehole Adityanarayanan Radhakrishnan Parthe Pandit Misha Belkin FAtt MLT 105 14 0 01 Sep 2023
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations Weixin Liang Yining Mao Yongchan Kwon Xinyu Yang James Zou OODD 88 3 0 04 May 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 90 1 0 21 Apr 2023
A Domain-Region Based Evaluation of ML Performance Robustness to Covariate Shift Firas Bayram Bestoun S. Ahmed OOD 53 4 0 18 Apr 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model Yi-xiao Liu Suyun Zhao Li Xiong Yuhan Liu Hong Chen FedML 64 9 0 11 Apr 2023
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data Zhouxing Shi Nicholas Carlini Ananth Balashankar Ludwig Schmidt Cho-Jui Hsieh Alex Beutel Yao Qin OOD 64 10 0 02 Feb 2023
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization Daniel LeJeune Jiayu Liu Reinhard Heckel 63 1 0 20 Oct 2022
A Measure of the Complexity of Neural Representations based on Partial Information Decomposition David A. Ehrlich Andreas C. Schneider V. Priesemann Michael Wibral Abdullah Makkeh 87 18 0 21 Sep 2022
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data Zhe Huang Mary-Joy Sidhom B. Wessler M. C. Hughes 87 10 0 25 Aug 2022
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift Christina Baek Yiding Jiang Aditi Raghunathan Zico Kolter 108 88 0 27 Jun 2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt Sören Mindermann J. Brauner Muhammed Razzak Mrinank Sharma Andreas Kirsch ... Benedikt Höltgen Aidan Gomez Adrien Morisot Sebastian Farquhar Y. Gal 128 165 0 14 Jun 2022
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning Chengcheng Guo B. Zhao Yanbing Bai OOD 139 143 0 18 Apr 2022
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning Jessica Hullman Sayash Kapoor Priyanka Nanayakkara Andrew Gelman Arvind Narayanan 147 39 0 12 Mar 2022
End-to-end Multiple Instance Learning with Gradient Accumulation Axel Andersson N. Koriakina Natavsa Sladoje Joakim Lindblad 40 6 0 08 Mar 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence Boyan Gao Henry Gouk Haebeom Lee Timothy M. Hospedales 99 6 0 05 Mar 2022
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images Roozbeh Yousefzadeh FAtt 74 5 0 05 Feb 2022
Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning N. Koriakina Natavsa Sladoje Vladimir Bavsić Joakim Lindblad 32 4 0 03 Feb 2022
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification Takashi Ishida Ikko Yamane Nontawat Charoenphakdee Gang Niu Masashi Sugiyama BDL UQCV 62 18 0 01 Feb 2022
OmniPrint: A Configurable Printed Character Synthesizer Haozhe Sun Wei-Wei Tu Isabelle M Guyon SyDa 88 7 0 17 Jan 2022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 97 131 0 11 Jan 2022
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse Junyi Li Bin Gu Heng-Chiao Huang 100 74 0 09 Dec 2021
Tensor network to learn the wavefunction of data A. Dymarsky K. Pavlenko 60 6 0 15 Nov 2021
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search Pengfei Xia Ziqiang Li Bin Li AAML 121 3 0 09 Nov 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 213 741 0 04 Sep 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 114 92 0 14 Jul 2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Percy Liang Y. Carmon Ludwig Schmidt OODD OOD 129 278 0 09 Jul 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 122 123 0 07 Jul 2021
Prioritized training on points that are learnable, worth learning, and not yet learned (workshop version) Sören Mindermann Muhammed Razzak Winnie Xu Andreas Kirsch Mrinank Sharma Adrien Morisot Aidan Gomez Sebastian Farquhar J. Brauner Y. Gal 87 7 0 06 Jul 2021
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning Anders Andreassen Yasaman Bahri Behnam Neyshabur Rebecca Roelofs OOD OODD 112 82 0 30 Jun 2021
Extending Contrastive Learning to Unsupervised Coreset Selection Jeongwoo Ju Heechul Jung Yoonju Oh Junmo Kim SSL 34 12 0 05 Mar 2021
Do Question Answering Modeling Improvements Hold Across Benchmarks? Nelson F. Liu Tony Lee Robin Jia Percy Liang 86 13 0 01 Feb 2021
Why do classifier accuracies show linear trends under distribution shift? Horia Mania S. Sra OOD 110 20 0 31 Dec 2020
Iterative VAE as a predictive brain model for out-of-distribution generalization Victor Boutin Aimen Zerroug Minju Jung Thomas Serre OOD 25 8 0 01 Dec 2020
Prune Responsibly Michela Paganini VLM 73 21 0 10 Sep 2020
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee Junyi Li Bin Gu Heng-Chiao Huang 68 41 0 01 Sep 2020
Robust Validation: Confident Predictions Even When Distributions Shift Maxime Cauchois Suyash Gupta Alnur Ali John C. Duchi OOD 138 98 0 10 Aug 2020
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation Xingchao Peng Yichen Li Kate Saenko 69 35 0 17 Jul 2020
SpinalNet: Deep Neural Network with Gradual Input H. M. D. Kabir Moloud Abdar S. M. Jalali Abbas Khosravi A. Atiya S. Nahavandi D. Srinivasan AI4CE 77 138 0 07 Jul 2020