The Tree Loss: Improving Generalization with Many Classes

16 April 2022

Papers citing "The Tree Loss: Improving Generalization with Many Classes"

17 / 17 papers shown

Title
Language-agnostic BERT Sentence Embedding Fangxiaoyu Feng Yinfei Yang Daniel Cer N. Arivazhagan Wei Wang 102 896 0 03 Jul 2020
SimLoss: Class Similarities in Cross Entropy Konstantin Kobs M. Steininger Albin Zehe Florian Lautenschlager Andreas Hotho 35 9 0 06 Mar 2020
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks Luca Bertinetto Romain Mueller Konstantinos Tertikas Sina Samangooei Nicholas A. Lord OOD 111 134 0 19 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 282 42,038 0 03 Dec 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 123 17,950 0 28 May 2019
Effectiveness of Hierarchical Softmax in Large Scale Classification Tasks Abdul Arfat Mohammed Venkatesh Umaashankar 35 31 0 13 Dec 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 60 2,580 0 20 May 2018
A hierarchical loss and its problems when classifying non-hierarchically C. Wu M. Tygert Yann LeCun 25 29 0 01 Sep 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,747 0 17 Apr 2017
emoji2vec: Learning Emoji Representations from their Description Ben Eisner Tim Rocktaschel Isabelle Augenstein Matko Bosnjak Sebastian Riedel SSL 44 290 0 27 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 639 36,599 0 25 Aug 2016
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 195 9,944 0 15 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Loss Functions for Top-k Error: Analysis and Insights Maksim Lapin Matthias Hein Bernt Schiele 125 95 0 01 Dec 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 562 31,406 0 16 Jan 2013
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization Alexander Rakhlin Ohad Shamir Karthik Sridharan 104 764 0 26 Sep 2011