Information-Ordered Bottlenecks for Adaptive Semantic Compression

18 May 2023

Papers citing "Information-Ordered Bottlenecks for Adaptive Semantic Compression"

19 / 19 papers shown

Title
Triangular Dropout: Variable Network Width without Retraining Edward W. Staley Jared Markowitz 43 2 0 02 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 282 6,768 0 13 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 261 15,081 0 20 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 368 7,600 0 11 Nov 2021
Scikit-dimension: a Python package for intrinsic dimension estimation Jonathan Bac Evgeny M. Mirkes Alexander N. Gorban I. Tyukin A. Zinovyev 61 82 0 06 Sep 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 673 28,659 0 26 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 327 4,873 0 24 Feb 2021
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks Ziquan Liu Wuguannan Yao Qiao Li Antoni B. Chan MQ 120 9 0 26 Dec 2020
Ordering Dimensions with Nested Dropout Normalizing Flows Artur Bekasov Iain Murray DRL 38 5 0 15 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 50 31 0 14 Jun 2020
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 261 42,038 0 03 Dec 2019
Estimating the intrinsic dimension of datasets by a minimal neighborhood information Elena Facco M. d’Errico Alex Rodriguez Alessandro Laio 36 320 0 19 Mar 2018
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 80 1,697 0 01 Dec 2016
Medical image denoising using convolutional denoising autoencoders Lovedeep Gondara MedIm 30 563 0 16 Aug 2016
Learning Compact Convolutional Neural Networks with Nested Dropout Chelsea Finn Lisa Anne Hendricks Trevor Darrell SSL 33 4 0 22 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 813 149,474 0 22 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 255 43,290 0 01 May 2014
Learning Ordered Representations with Nested Dropout Oren Rippel M. Gelbart Ryan P. Adams SSL 68 89 0 05 Feb 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 362 16,962 0 20 Dec 2013