Multi-scale Feature Learning Dynamics: Insights for Double Descent

Multi-scale Feature Learning Dynamics: Insights for Double Descent

6 December 2021

Mohammad Pezeshki

Guillaume Lajoie

Papers citing "Multi-scale Feature Learning Dynamics: Insights for Double Descent"

19 / 19 papers shown

Title
A dynamic view of the double descent Vivek Shripad Borkar 58 0 0 03 May 2025
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers Roman Abramov Felix Steinbauer Gjergji Kasneci 138 0 0 29 Apr 2025
On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process Shun Iwase Shuya Takahashi Nakamasa Inoue Rio Yokota Ryo Nakamura Hirokatsu Kataoka 74 0 0 04 Mar 2025
The Fair Language Model Paradox Andrea Pinto Tomer Galanti Randall Balestriero 25 0 0 15 Oct 2024
Unified Neural Network Scaling Laws and Scale-time Equivalence Akhilan Boopathy Ila Fiete 35 0 0 09 Sep 2024
Towards understanding epoch-wise double descent in two-layer linear neural networks Amanda Olmin Fredrik Lindsten MLT 27 3 0 13 Jul 2024
Grokfast: Accelerated Grokking by Amplifying Slow Gradients Jaerin Lee Bong Gyun Kang Kihoon Kim Kyoung Mu Lee 35 11 0 30 May 2024
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets Lorenzo Brigato S. Mougiakakou 27 3 0 04 Sep 2023
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy A. Puli Lily H. Zhang Yoav Wald Rajesh Ranganath 15 19 0 24 Aug 2023
Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok Pascal Junior Tikeng Notsawo Hattie Zhou Mohammad Pezeshki Irina Rish G. Dumas 19 23 0 23 Jun 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 18 0 0 14 Mar 2023
Unifying Grokking and Double Descent Peter W. Battaglia David Raposo Kelsey 34 31 0 10 Mar 2023
Over-training with Mixup May Hurt Generalization Zixuan Liu Ziqiao Wang Hongyu Guo Yongyi Mao NoLa 21 11 0 02 Mar 2023
Grokking phase transitions in learning local rules with gradient descent Bojan Žunkovič E. Ilievski 63 16 0 26 Oct 2022
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks Charles Edison Tripp J. Perr-Sauer L. Hayne M. Lunacek Jamil Gafur AI4CE 21 0 0 25 Jul 2022
Towards Understanding Grokking: An Effective Theory of Representation Learning Ziming Liu O. Kitouni Niklas Nolte Eric J. Michaud Max Tegmark Mike Williams AI4CE 17 143 0 20 May 2022
Generalizing similarity in noisy setups: the DIBS phenomenon Nayara Fonseca V. Guidetti 13 0 0 30 Jan 2022
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics D. Kunin Javier Sagastuy-Breña Surya Ganguli Daniel L. K. Yamins Hidenori Tanaka 101 77 0 08 Dec 2020
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 93 152 0 02 Mar 2020