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Bayesian Compression for Deep Learning

24 May 2017

Papers citing "Bayesian Compression for Deep Learning"

50 / 269 papers shown

Title
Structured Pruning of Large Language Models Ziheng Wang Jeremy Wohlwend Tao Lei 98 293 0 10 Oct 2019
Continual Learning in Neural Networks Rahaf Aljundi CLL 94 34 0 07 Oct 2019
What Happens on the Edge, Stays on the Edge: Toward Compressive Deep Learning Yongqian Li Thomas Strohmer 31 2 0 04 Sep 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures Huanrui Yang W. Wen H. Li 96 99 0 27 Aug 2019
Neural Plasticity Networks Yongqian Li Shihao Ji 30 1 0 13 Aug 2019
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Chaithanya Kumar Mummadi Tim Genewein Dan Zhang Thomas Brox Volker Fischer 53 3 0 09 Aug 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 111 98 0 27 Jul 2019
Learning Multimodal Fixed-Point Weights using Gradient Descent Lukas Enderich Fabian Timm Lars Rosenbaum Wolfram Burgard MQ 53 9 0 16 Jul 2019
Batch-Shaping for Learning Conditional Channel Gated Networks B. Bejnordi Tijmen Blankevoort Max Welling AI4CE 103 77 0 15 Jul 2019
Sparse Networks from Scratch: Faster Training without Losing Performance Tim Dettmers Luke Zettlemoyer 170 342 0 10 Jul 2019
Neuron ranking -- an informed way to condense convolutional neural networks architecture Kamil Adamczewski Mijung Park FAtt 32 2 0 03 Jul 2019
Deep Active Learning with Adaptive Acquisition Manuel Haussmann Fred Hamprecht M. Kandemir 90 41 0 27 Jun 2019
The Difficulty of Training Sparse Neural Networks Utku Evci Fabian Pedregosa Aidan Gomez Erich Elsen 90 101 0 25 Jun 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 84 77 0 19 Jun 2019
Scalable Model Compression by Entropy Penalized Reparameterization Deniz Oktay Johannes Ballé Saurabh Singh Abhinav Shrivastava 84 43 0 15 Jun 2019
The Generalization-Stability Tradeoff In Neural Network Pruning Brian Bartoldson Ari S. Morcos Adrian Barbu G. Erlebacher 111 76 0 09 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 255 2,385 0 06 Jun 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers Igor Fedorov Ryan P. Adams Matthew Mattina P. Whatmough 99 168 0 28 May 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi Sébastien Marmin Maurizio Filippone BDL 110 16 0 27 May 2019
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization Bingchen Liu Yizhe Zhu Zuohui Fu Gerard de Melo Ahmed Elgammal CML 128 43 0 26 May 2019
Bayesian Tensorized Neural Networks with Automatic Rank Selection Cole Hawkins Zheng Zhang BDL 63 54 0 24 May 2019
Revisiting hard thresholding for DNN pruning Konstantinos Pitas Mike Davies P. Vandergheynst AAML 52 2 0 21 May 2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek MQ 76 21 0 15 May 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search Hongpeng Zhou Minghao Yang Jun Wang Wei Pan BDL 109 202 0 13 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 115 15 0 11 May 2019
Importance Weighted Hierarchical Variational Inference Artem Sobolev Dmitry Vetrov BDL 79 29 0 08 May 2019
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care H. Overweg Anna-Lena Popkes A. Ercole Yingzhen Li José Miguel Hernández-Lobato Yordan Zaykov Cheng Zhang 83 25 0 07 May 2019
Improving and Understanding Variational Continual Learning S. Swaroop Cuong V Nguyen T. Bui Richard Turner CLL 73 50 0 06 May 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask Hattie Zhou Janice Lan Rosanne Liu J. Yosinski UQCV 103 389 0 03 May 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 83 172 0 28 Apr 2019
Horseshoe Regularization for Machine Learning in Complex and Deep Models A. Bhadra J. Datta Yunfan Li Nicholas G. Polson 87 15 0 24 Apr 2019
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks Jaedeok Kim Chi-youn Park Hyungsik Jung Yoonsuck Choe 64 18 0 24 Apr 2019
Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients Yu Chen Tom Diethe Neil D. Lawrence CLL BDL 57 13 0 24 Apr 2019
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks Y. Zur Chaim Baskin Evgenii Zheltonozhskii Brian Chmiel Itay Evron A. Bronstein A. Mendelson MQ 85 7 0 22 Apr 2019
Copula-like Variational Inference Marcel Hirt P. Dellaportas Alain Durmus 51 5 0 15 Apr 2019
$L_0$ -ARM: Network Sparsification via Stochastic Binary Optimization Yang Li Shihao Ji MQ 51 15 0 09 Apr 2019
Combining Model and Parameter Uncertainty in Bayesian Neural Networks A. Hubin G. Storvik UQCV BDL 61 11 0 18 Mar 2019
Functional Variational Bayesian Neural Networks Shengyang Sun Guodong Zhang Jiaxin Shi Roger C. Grosse BDL 88 240 0 14 Mar 2019
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri 95 98 0 11 Mar 2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection Wenhu Chen Yu-Chuan Su Yilin Shen Zhiyu Zoey Chen Xifeng Yan Wenjie Wang VLM 57 31 0 27 Feb 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 207 765 0 25 Feb 2019
Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains Yoojin Choi Mostafa El-Khamy Jungwon Lee 46 6 0 21 Feb 2019
Where Do Human Heuristics Come From? Marcel Binz Dominik M. Endres 23 0 0 20 Feb 2019
Emulating Human Developmental Stages with Bayesian Neural Networks Marcel Binz Dominik M. Endres 72 3 0 20 Feb 2019
Structured Bayesian Compression for Deep models in mobile enabled devices for connected healthcare Sijia Chen Bin Song Xiaojiang Du Nadra Guizani HAI MedIm 21 2 0 13 Feb 2019
Radial and Directional Posteriors for Bayesian Neural Networks Changyong Oh Kamil Adamczewski Mijung Park BDL 115 20 0 07 Feb 2019
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression Jie Zhang Xiaolong Wang Dawei Li Shalini Ghosh Abhishek Kolagunda Yalin Wang 38 0 0 03 Feb 2019
Information-Theoretic Understanding of Population Risk Improvement with Model Compression Yuheng Bu Weihao Gao Shaofeng Zou Venugopal V. Veeravalli MedIm 56 15 0 27 Jan 2019
GASL: Guided Attention for Sparsity Learning in Deep Neural Networks A. Torfi Rouzbeh A. Shirvani Sobhan Soleymani Nasser M. Nasrabadi 94 8 0 07 Jan 2019
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 84 29 0 18 Dec 2018