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Reconciling modern machine learning practice and the bias-variance trade-off

28 December 2018

Papers citing "Reconciling modern machine learning practice and the bias-variance trade-off"

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Title
LoRA-based methods on Unet for transfer learning in Subarachnoid Hematoma Segmentation Cristian Minoccheri Matthew Hodgman Haoyuan Ma Rameez Merchant Emily Wittrup Craig Williamson Kayvan Najarian 153 0 0 03 Aug 2025
Benefits of Feature Extraction and Temporal Sequence Analysis for Video Frame Prediction: An Evaluation of Hybrid Deep Learning Models Jose M. Sánchez Velázquez Mingbo Cai Andrew Coney Á. García-Tejedor Alberto Nogales 44 0 0 28 Jul 2025
Investigating the Effect of Spatial Context on Multi-Task Sea Ice Segmentation Behzad Vahedi Rafael Pires de Lima Sepideh Jalayer Walter N. Meier A. Barrett M. Karimzadeh SSeg 152 0 0 28 Jul 2025
Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Andrew Kiruluta Andreas Lemos Priscilla Burity 108 0 0 27 Jul 2025
What Can Grokking Teach Us About Learning Under Nonstationarity? Clare Lyle Gharda Sokar Razvan Pascanu András Gyorgy 80 2 0 26 Jul 2025
Understanding Generalization, Robustness, and Interpretability in Low-Capacity Neural Networks Yash Kumar 80 0 0 22 Jul 2025
Bayesian Double Descent Nick Polson Vadim Sokolov 87 0 0 09 Jul 2025
Pixel super-resolved virtual staining of label-free tissue using diffusion models Yijie Zhang Luzhe Huang N. Pillar Rui Wang Hanlong Chen Aydogan Ozcan 251 10 0 01 Jul 2025
Optimal Implicit Bias in Linear Regression K. N. Varma Babak Hassibi 165 1 0 20 Jun 2025
Black-Box Privacy Attacks on Shared Representations in Multitask Learning John Abascal Nicolás Berrios Alina Oprea Jonathan R. Ullman Adam D. Smith Matthew Jagielski MLAU 200 0 0 19 Jun 2025
Symmetry in Neural Network Parameter Spaces Bo Zhao Robin Walters Rose Yu 297 6 0 16 Jun 2025
Understanding Learning Invariance in Deep Linear Networks Hao Duan Guido Montúfar 208 0 0 16 Jun 2025
Generative or Discriminative? Revisiting Text Classification in the Era of Transformers Siva Rajesh Kasa Karan Gupta Sumegh Roychowdhury Ashutosh Kumar Yaswanth Biruduraju Santhosh Kumar Kasa Nikhil Pattisapu Arindam Bhattacharya Shailendra Agarwal Vijay huddar 148 2 0 13 Jun 2025
Model Organisms for Emergent Misalignment Edward Turner Anna Soligo Mia Taylor Senthooran Rajamanoharan Neel Nanda 143 17 0 13 Jun 2025
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel Yilan Chen Zhichao Wang Wei Huang Andi Han Taiji Suzuki Arya Mazumdar MLT 178 0 0 12 Jun 2025
Scaling Laws for Uncertainty in Deep Learning Mattia Rosso Simone Rossi Giulio Franzese Markus Heinonen Maurizio Filippone BDL UQCV 178 0 0 11 Jun 2025
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing Declan A. Norton Yuanzhao Zhang M. Girvan 242 2 0 05 Jun 2025
Towards Quantum Operator-Valued Kernels Hachem Kadri Joachim Tomasi Yuka Hashimoto S. Anthoine 204 0 0 04 Jun 2025
Models of Heavy-Tailed Mechanistic Universality Liam Hodgkinson Zhichao Wang Michael W. Mahoney 221 3 0 04 Jun 2025
Learning Smooth State-Dependent Traversability from Dense Point Clouds Zihao Dong Alan Papalia Leonard Jung Alenna Spiro Philip R. Osteen Christa S. Robison Michael Everett 93 1 0 04 Jun 2025
How much do language models memorize? John X. Morris Chawin Sitawarin Chuan Guo Narine Kokhlikyan G. E. Suh Alexander M. Rush Kamalika Chaudhuri Saeed Mahloujifar KELM ELM 354 21 0 30 May 2025
Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders Jonghyun Ham Maximilian Fleissner Debarghya Ghoshdastidar AI4CE 132 0 0 30 May 2025
On the Emergence of Weak-to-Strong Generalization: A Bias-Variance Perspective Gengze Xu Wei Yao Ziqiao Wang Yong Liu 214 1 0 30 May 2025
SGD as Free Energy Minimization: A Thermodynamic View on Neural Network Training Ildus Sadrtdinov Ivan Klimov E. Lobacheva Dmitry Vetrov 172 1 0 29 May 2025
Querying Kernel Methods Suffices for Reconstructing their Training Data Daniel Barzilai Yuval Margalit Eitan Gronich Gilad Yehudai Meirav Galun Ronen Basri 173 0 0 25 May 2025
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Behrad Moniri Hamed Hassani 217 2 0 23 May 2025
Unveiling the Basin-Like Loss Landscape in Large Language Models Huanran Chen Yinpeng Dong Zeming Wei Yao Huang Yichi Zhang Hang Su Jun Zhu MoMe 313 5 0 23 May 2025
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Alessandro Favero Antonio Sclocchi Matthieu Wyart DiffM 265 8 0 22 May 2025
Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks Ichiro Hashimoto MLT 232 0 0 22 May 2025
Certified Neural Approximations of Nonlinear Dynamics Frederik Baymler Mathiesen Nikolaus Vertovec Francesco Fabiano Luca Laurenti Alessandro Abate 217 1 0 21 May 2025
LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought Cheng Yan Felix Mohr Tom Viering 267 0 0 21 May 2025
An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models Jialin Mao Itay Griniasty Yan Sun Mark K. Transtrum James P. Sethna Pratik Chaudhari 237 0 0 13 May 2025
A dynamic view of some anomalous phenomena in SGD Vivek Shripad Borkar 311 0 0 03 May 2025
Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing Jiarui Xie Y. Zhao 193 0 0 30 Apr 2025
Sobolev norm inconsistency of kernel interpolationAnalysis and Applications (AA), 2025 Yunfei Yang 318 0 0 29 Apr 2025
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers Roman Abramov Felix Steinbauer Gjergji Kasneci 841 6 0 29 Apr 2025
The Double Descent Behavior in Two Layer Neural Network for Binary ClassificationJournal of Data Science (JDS), 2025 Chathurika S Abeykoon A. Beknazaryan Hailin Sang 224 1 0 27 Apr 2025
A Model Zoo on Phase Transitions in Neural Networks Konstantin Schurholt Léo Meynent Yefan Zhou Haiquan Lu Yaoqing Yang Damian Borth 298 2 0 25 Apr 2025
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learningSymposium on Advances in Approximate Bayesian Inference (AABI), 2025 Zhe Huang Simone Rossi Rui Yuan T. Hannagan 199 2 0 22 Apr 2025
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? Tom Jacobs Chao Zhou R. Burkholz OffRL AI4CE 261 3 0 17 Apr 2025
auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory Arjun Subramonian Elvis Dohmatob 167 0 0 14 Apr 2025
Gradient Descent Robustly Learns the Intrinsic Dimension of Data in Training Convolutional Neural Networks Chenyang Zhang Peifeng Gao Difan Zou Yuan Cao OOD MLT 335 0 0 11 Apr 2025
Architecture independent generalization bounds for overparametrized deep ReLU networks Thomas Chen Chun-Kai Kevin Chien Patrícia Muñoz Ewald Andrew G. Moore 482 1 0 08 Apr 2025
High-dimensional ridge regression with random features for non-identically distributed data with a variance profile Issa-Mbenard Dabo Jérémie Bigot 133 1 0 03 Apr 2025
A Theory of Machine Understanding via the Minimum Description Length Principle Canlin Zhang Xiuwen Liu 297 0 0 01 Apr 2025
ZeroLM: Data-Free Transformer Architecture Search for Language Models Zhen-Song Chen Hong-Wei Ding Xian-Jia Wang Witold Pedrycz 300 0 0 24 Mar 2025
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry Chi-Ning Chou Hang Le Yichen Wang SueYeon Chung 312 1 0 23 Mar 2025
Analyzing the Role of Permutation Invariance in Linear Mode ConnectivityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Keyao Zhan Puheng Li Lei Wu MoMe 269 1 0 13 Mar 2025
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models Khoat Than Dat Phan BDL AAML VLM 217 0 0 10 Mar 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 467 4 0 10 Mar 2025