Accelerating Learned Image Compression Through Modeling Neural Training Dynamics

23 May 2025

Papers citing "Accelerating Learned Image Compression Through Modeling Neural Training Dynamics"

10 / 60 papers shown

Title
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 112 2,854 0 14 Mar 2017
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 503 11,540 0 06 Apr 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 373 27,231 0 02 Dec 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 105 18,534 0 06 Feb 2015
New insights and perspectives on the natural gradient method James Martens ODL 41 609 0 03 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 158 43,290 0 01 May 2014
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew M. Saxe James L. McClelland Surya Ganguli ODL 73 1,830 0 20 Dec 2013
No More Pesky Learning Rates Tom Schaul Sixin Zhang Yann LeCun 69 477 0 06 Jun 2012
Modern hierarchical, agglomerative clustering algorithms Daniel Müllner 76 661 0 12 Sep 2011
Asymmetric numeral systems J. Duda 72 129 0 02 Feb 2009