Bringing the Discussion of Minima Sharpness to the Audio Domain: a
Filter-Normalised Evaluation for Acoustic Scene Classification

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Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classification

28 September 2023

Andreas Triantafyllopoulos

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Papers citing "Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classification"

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Title
Visualizing high-dimensional loss landscapes with Hessian directions Lucas Böttcher Gregory R. Wheeler 68 14 0 28 Aug 2022
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations Andreas Triantafyllopoulos M. Milling Konstantinos Drossos Björn W. Schuller 58 7 0 04 Oct 2021
An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning Xinhao Mei Qiushi Huang Xubo Liu Gengyun Chen Jingqian Wu ... Tom Ko H. Tang Xingkun Shao Mark D. Plumbley Wenwu Wang 75 54 0 05 Aug 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 87 67 0 09 Apr 2021
Why flatness does and does not correlate with generalization for deep neural networks Shuo Zhang Isaac Reid Guillermo Valle Pérez A. Louis 50 8 0 10 Mar 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 301 458 0 17 Feb 2021
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning Pan Zhou Jiashi Feng Chao Ma Caiming Xiong Guosheng Lin E. Weinan 84 234 0 12 Oct 2020
Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima Enzo Tartaglione Andrea Bragagnolo Marco Grangetto 63 12 0 30 Apr 2020
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition Qiuqiang Kong Yin Cao Turab Iqbal Yuxuan Wang Wenwu Wang Mark D. Plumbley VLM SSL 192 1,084 0 21 Dec 2019
PyHessian: Neural Networks Through the Lens of the Hessian Z. Yao A. Gholami Kurt Keutzer Michael W. Mahoney ODL 63 303 0 16 Dec 2019
Asymmetric Valleys: Beyond Sharp and Flat Local Minima Haowei He Gao Huang Yang Yuan ODL MLT 69 150 0 02 Feb 2019
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 258 1,898 0 28 Dec 2017
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys Pratik Chaudhari A. Choromańska Stefano Soatto Yann LeCun Carlo Baldassi C. Borgs J. Chayes Levent Sagun R. Zecchina ODL 96 774 0 06 Nov 2016
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 429 2,945 0 15 Sep 2016
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 104 1,023 0 19 Mar 2015
Qualitatively characterizing neural network optimization problems Ian Goodfellow Oriol Vinyals Andrew M. Saxe ODL 112 523 0 19 Dec 2014