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Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches

12 March 2018

Yeming Wen

Paul Vicol

Jimmy Ba

Papers citing "Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches"

28 / 28 papers shown

Title
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks Sabrina Herbst S. S. Cranganore Vincenzo De Maio Ivona Brandić 89 0 0 17 Feb 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 220 13 0 28 Jan 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 251 14 0 28 Jan 2025
An AI-powered Bayesian generative modeling approach for causal inference in observational studies Qiao Liu W. Wong CML 141 0 0 03 Jan 2025
Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring Filippo Fiocchi Domna Ladopoulou P. Dellaportas 76 1 0 25 Apr 2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks Mihir Mulye Matias Valdenegro-Toro UQCV FAtt 99 0 0 25 Mar 2024
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 550 10,591 0 17 Feb 2020
On the Convergence of Adam and Beyond Sashank J. Reddi Satyen Kale Surinder Kumar 109 2,506 0 19 Apr 2019
Regularizing and Optimizing LSTM Language Models Stephen Merity N. Keskar R. Socher 173 1,096 0 07 Aug 2017
Noisy Networks for Exploration Meire Fortunato M. G. Azar Bilal Piot Jacob Menick Ian Osband ... Rémi Munos Demis Hassabis Olivier Pietquin Charles Blundell Shane Legg 97 897 0 30 Jun 2017
Parameter Space Noise for Exploration Matthias Plappert Rein Houthooft Prafulla Dhariwal Szymon Sidor Richard Y. Chen Xi Chen Tamim Asfour Pieter Abbeel Marcin Andrychowicz 89 597 0 06 Jun 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 195 481 0 24 May 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 67 84 0 22 May 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 239 4,644 0 16 Apr 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 122 1,544 0 10 Mar 2017
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 172 1,633 0 27 Sep 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations David M. Krueger Tegan Maharaj János Kramár Mohammad Pezeshki Nicolas Ballas Nan Rosemary Ke Anirudh Goyal Yoshua Bengio Aaron Courville C. Pal 90 317 0 03 Jun 2016
Recurrent Batch Normalization Tim Cooijmans Nicolas Ballas César Laurent Çağlar Gülçehre Aaron Courville ODL 92 410 0 30 Mar 2016
Recurrent Dropout without Memory Loss Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 66 222 0 16 Mar 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 192 1,651 0 16 Dec 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 229 1,517 0 08 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 192 1,894 0 20 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 469 43,357 0 11 Feb 2015
Recurrent Neural Network Regularization Wojciech Zaremba Ilya Sutskever Oriol Vinyals ODL 160 2,778 0 08 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 95 445 0 13 Aug 2014
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 203 729 0 31 Jan 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 153 1,167 0 31 Dec 2013