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Overfitting for Fun and Profit: Instance-Adaptive Data Compression

21 January 2021

Papers citing "Overfitting for Fun and Profit: Instance-Adaptive Data Compression"

27 / 27 papers shown

Title
Exploiting Latent Properties to Optimize Neural Codecs M. Balcilar B. Damodaran Karam Naser Franck Galpin Pierre Hellier 97 0 0 03 Jan 2025
Few-Shot Domain Adaptation for Learned Image Compression Tianyu Zhang Haotian Zhang Yuqi Li Li Li Dong Liu VLM 97 1 0 17 Sep 2024
Efficient Adaptation of Neural Network Filter for Video Compression Y. Lam Alireza Zare Francesco Cricri J. Lainema M. Hannuksela 83 29 0 28 Jul 2020
Improving Inference for Neural Image Compression Yibo Yang Robert Bamler Stephan Mandt 93 123 0 07 Jun 2020
Content Adaptive and Error Propagation Aware Deep Video Compression Guo Lu Chunlei Cai Xiaoyun Zhang Li Chen Wanli Ouyang Dong Xu Zhiyong Gao 59 146 0 25 Mar 2020
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks Andrey Kuzmin Markus Nagel Saurabh Pitre Sandeep Pendyam Tijmen Blankevoort Max Welling 61 27 0 20 Dec 2019
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration Haojie Liu Han shen Lichao Huang Ming Lu Tong Chen Zhan Ma 64 57 0 13 Dec 2019
Feedback Recurrent AutoEncoder Yang Yang Guillaume Sautière J. Jon Ryu Taco S. Cohen 94 21 0 11 Nov 2019
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding Jan P. Klopp Liang-Gee Chen Shao-Yi Chien 65 11 0 19 Oct 2019
Video Compression With Rate-Distortion Autoencoders A. Habibian T. V. Rozendaal Jakub M. Tomczak Taco S. Cohen VGen 79 202 0 14 Aug 2019
Content Adaptive Optimization for Neural Image Compression Joaquim Campos Simon Meierhans Abdelaziz Djelouah Christopher Schroers 70 65 0 04 Jun 2019
Compressing Weight-updates for Image Artifacts Removal Neural Networks Y. Lam Alireza Zare Çağlar Aytekin Francesco Cricri J. Lainema Emre B. Aksu M. Hannuksela 65 16 0 10 May 2019
DVC: An End-to-end Deep Video Compression Framework Guo Lu Wanli Ouyang Dong Xu Xiaoyun Zhang Chunlei Cai Zhiyong Gao VGen 90 660 0 30 Nov 2018
Learned Video Compression Oren Rippel Sanjay Nair Carissa Lew Steve Branson Alexander G. Anderson Lubomir D. Bourdev 80 233 0 16 Nov 2018
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters Marton Havasi Robert Peharz José Miguel Hernández-Lobato 78 82 0 30 Sep 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 84 1,282 0 08 Sep 2018
Block-optimized Variable Bit Rate Neural Image Compression Çağlar Aytekin Xingyang Ni Francesco Cricri J. Lainema Emre B. Aksu M. Hannuksela 54 15 0 28 May 2018
Video Compression through Image Interpolation Chao-Yuan Wu Nayan Singhal Philipp Krahenbuhl VGen 86 323 0 18 Apr 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 137 283 0 10 Jan 2018
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 195 481 0 24 May 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 69 1,056 0 01 Mar 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 412 17,615 0 17 Feb 2016
Density Modeling of Images using a Generalized Normalization Transformation Johannes Ballé Valero Laparra Eero P. Simoncelli 57 391 0 19 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,864 0 01 Oct 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 464 16,922 0 20 Dec 2013
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 398 3,158 0 15 Aug 2013