RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit
Neural Representations

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RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations

29 September 2023

Carlos Rombaldo Junior

Zongyu Guo

ArXiv (abs)PDF HTML Github (11★)

Papers citing "RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations"

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Title
Towards Lossless Implicit Neural Representation via Bit Plane Decomposition Woo Kyoung Han Byeonghun Lee Hyunmin Cho Sunghoon Im Kyong Hwan Jin MQ 451 0 0 28 Feb 2025
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion Jona Ballé Luca Versari Emilien Dupont Hyunjik Kim Matthias Bauer DiffM 171 1 0 30 Nov 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 108 13 0 26 Mar 2024
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 330 4,037 0 16 Jan 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 474 10,367 0 17 Jun 2021
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 72 385 0 29 Apr 2021
Causal Contextual Prediction for Learned Image Compression Zongyu Guo Zhizheng Zhang Runsen Feng Zhibo Chen CML 54 141 0 19 Nov 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 124 2,421 0 18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 153 2,556 0 17 Jun 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael W. Dusenberry Ghassen Jerfel Yeming Wen Yi-An Ma Jasper Snoek Katherine A. Heller Balaji Lakshminarayanan Dustin Tran UQCV BDL 57 215 0 14 May 2020
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters Marton Havasi Robert Peharz José Miguel Hernández-Lobato 63 82 0 30 Sep 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 226 1,514 0 08 Jun 2015
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild K. Soomro Amir Zamir M. Shah CLIP VGen 152 6,162 0 03 Dec 2012