Towards Conceptual Compression

29 April 2016

Karol Gregor

F. Besse

Danilo Jimenez Rezende

Ivo Danihelka

Papers citing "Towards Conceptual Compression"

50 / 55 papers shown

Title
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks A. Hojjat Janek Haberer Tayyaba Zainab Olaf Landsiedel 44 3 0 18 Apr 2025
Efficient Progressive Image Compression with Variance-aware Masking Alberto Presta Enzo Tartaglione Attilio Fiandrotti Marco Grangetto Pamela Cosman 34 0 0 15 Nov 2024
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jun Liu 78 31 0 27 Aug 2023
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression Ahmed Ghorbel W. Hamidouche L. Morin 36 0 0 05 Jul 2023
Compression of GPS Trajectories using Autoencoders Michael Kölle Steffen Illium Carsten Hahn Lorenz Schauer Johannes Hutter Claudia Linnhoff-Popien 31 1 0 18 Jan 2023
Character Generation through Self-Supervised Vectorization Gokcen Gokceoglu Emre Akbas 25 0 0 03 Aug 2022
Reducing Redundancy in the Bottleneck Representation of the Autoencoders Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 33 10 0 09 Feb 2022
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder A. Mali Alexander Ororbia Daniel Kifer C. Lee Giles 30 9 0 27 Jan 2022
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems A. Mali Alexander Ororbia Daniel Kifer L. Giles 19 4 0 27 Jan 2022
Learning-Driven Lossy Image Compression; A Comprehensive Survey Sonain Jamil Md. Jalil Piran Muhibur Rahman 34 36 0 23 Jan 2022
DPICT: Deep Progressive Image Compression Using Trit-Planes Jae-Han Lee S. Jeon K. Choi Youngo Park Chang-Su Kim 29 29 0 12 Dec 2021
STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routing Wen-Cheng Chen Min-Chun Hu Chu-Song Chen 22 6 0 06 Aug 2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making S. Reddy Anca Dragan Sergey Levine OffRL 44 13 0 07 Jul 2021
What Is Considered Complete for Visual Recognition? Lingxi Xie Xiaopeng Zhang Longhui Wei Jianlong Chang Qi Tian VLM 23 4 0 28 May 2021
Slimmable Compressive Autoencoders for Practical Neural Image Compression Feiyu Yang Luis Herranz Yongmei Cheng M. Mozerov 31 65 0 29 Mar 2021
Thousand to One: Semantic Prior Modeling for Conceptual Coding Jianhui Chang Zhenghui Zhao Lingbo Yang Chuanmin Jia Jian Zhang Siwei Ma 27 21 0 12 Mar 2021
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 225 68 0 23 Oct 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 27 25 0 14 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 118 17,042 0 19 Jun 2020
Feedback Recurrent Autoencoder for Video Compression Adam Goliñski Reza Pourreza Yang Yang Guillaume Sautière Taco S. Cohen VGen 41 48 0 09 Apr 2020
Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach Yueyu Hu Shuai Yang Wenhan Yang Ling-yu Duan Jiaying Liu VGen 21 66 0 09 Jan 2020
Deep Automodulators Ari Heljakka Wenshuai Zhao Arno Solin Arno Solin 31 5 0 21 Dec 2019
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 45 34 0 07 Oct 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 21 33 0 26 Aug 2019
Sequential Neural Processes Gautam Singh Jaesik Yoon Youngsung Son Sungjin Ahn BDL AI4TS 40 81 0 24 Jun 2019
Shaping Belief States with Generative Environment Models for RL Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 16 117 0 21 Jun 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 27 88 0 30 May 2019
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 14 138 0 15 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 23 39 0 06 Jan 2019
Unsupervised Image Decomposition in Vector Layers Othman Sbai Camille Couprie Mathieu Aubry 41 8 0 13 Dec 2018
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 10 165 0 24 Jul 2018
The Variational Homoencoder: Learning to learn high capacity generative models from few examples Luke B. Hewitt Maxwell Nye Andreea Gane Tommi Jaakkola J. Tenenbaum BDL DRL GAN 31 68 0 24 Jul 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 24 126 0 08 Jun 2018
Deep Generative Models for Distribution-Preserving Lossy Compression Michael Tschannen E. Agustsson Mario Lucic 16 130 0 28 May 2018
Learned Neural Iterative Decoding for Lossy Image Compression Systems Alexander Ororbia A. Mali Jian Wu Scott O'Connell David J. Miller C. Lee Giles 27 27 0 15 Mar 2018
Autoencoder based image compression: can the learning be quantization independent? Thierry Dumas A. Roumy C. Guillemot OOD SSL MQ 13 57 0 23 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
DeepSIC: Deep Semantic Image Compression Sihui Luo Yezhou Yang Xiuming Zhang 33 46 0 29 Jan 2018
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 55 4,840 0 02 Nov 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions Scott E. Reed Yutian Chen T. Paine Aaron van den Oord S. M. Ali Eslami Danilo Jimenez Rezende Oriol Vinyals Nando de Freitas 41 88 0 27 Oct 2017
Recurrent Inference Machines for Solving Inverse Problems P. Putzky Max Welling AI4CE 16 127 0 13 Jun 2017
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks Michele Covell Nick Johnston David C. Minnen S. Hwang Joel Shor Saurabh Singh Damien Vincent G. Toderici 22 18 0 18 May 2017
Comparison of Maximum Likelihood and GAN-based training of Real NVPs Ivo Danihelka Balaji Lakshminarayanan Benigno Uria Daan Wierstra Peter Dayan GAN 24 53 0 15 May 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang Zhiting Hu Ruslan Salakhutdinov Taylor Berg-Kirkpatrick 24 383 0 27 Feb 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 19 931 0 19 Jan 2017
An Architecture for Deep, Hierarchical Generative Models Philip Bachman AI4CE BDL 33 53 0 08 Dec 2016
Deep Variational Inference Without Pixel-Wise Reconstruction Siddharth Agrawal Ambedkar Dukkipati DRL 3DV BDL 30 13 0 16 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 48 760 0 15 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 47 671 0 08 Nov 2016