What Do Neural Networks Learn When Trained With Random Labels?

What Do Neural Networks Learn When Trained With Random Labels?

18 June 2020

Hartmut Maennel

Ibrahim M. Alabdulmohsin

Ilya O. Tolstikhin

Olivier Bousquet

Papers citing "What Do Neural Networks Learn When Trained With Random Labels?"

18 / 18 papers shown

Title
Partitioned Neural Network Training via Synthetic Intermediate Labels C. V. Karadag Nezih Topaloglu 34 0 0 17 Mar 2024
In Search of a Data Transformation That Accelerates Neural Field Training Junwon Seo Sangyoon Lee Kwang In Kim Jaeho Lee 33 3 0 28 Nov 2023
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 30 3 0 08 Dec 2022
On Robust Learning from Noisy Labels: A Permutation Layer Approach Salman Alsubaihi Mohammed Alkhrashi Raied Aljadaany Fahad Albalawi Bernard Ghanem NoLa 13 0 0 29 Nov 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 75 2 0 18 Nov 2022
The Curious Case of Benign Memorization Sotiris Anagnostidis Gregor Bachmann Lorenzo Noci Thomas Hofmann AAML 43 8 0 25 Oct 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 36 0 03 Jul 2022
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective Rhea Chowers Yair Weiss 31 2 0 06 Jun 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 19 122 0 26 May 2022
Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model Daisuke Niizumi Daiki Takeuchi Yasunori Ohishi N. Harada K. Kashino 16 5 0 17 May 2022
Regularization by Misclassification in ReLU Neural Networks Elisabetta Cornacchia Jan Hązła Ido Nachum Amir Yehudayoff NoLa 20 2 0 03 Nov 2021
On the Impact of Stable Ranks in Deep Nets B. Georgiev L. Franken Mayukh Mukherjee Georgios Arvanitidis 13 3 0 05 Oct 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering Nairouz Mrabah Mohamed Bouguessa M. Touati Riadh Ksantini 28 62 0 19 Jul 2021
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective Akhilan Boopathy Ila Fiete 16 9 0 15 Jun 2021
What can linearized neural networks actually say about generalization? Guillermo Ortiz-Jiménez Seyed-Mohsen Moosavi-Dezfooli P. Frossard 21 43 0 12 Jun 2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search Changlin Li Tao Tang Guangrun Wang Jiefeng Peng Bing Wang Xiaodan Liang Xiaojun Chang ViT 46 105 0 23 Mar 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015