Geoffrey E. Hinton

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All published works

Action	Title	Year	Authors
+ PDF Chat	Managing extreme AI risks amid rapid progress	2024	Yoshua Bengio Geoffrey E. Hinton Andrew Chi-Chih Yao Dawn Song Pieter Abbeel Trevor Darrell Yuval Noah Harari Ya-Qin Zhang Xue Lan Shai Shalev‐Shwartz
+ PDF Chat	A Generalist Framework for Panoptic Segmentation of Images and Videos	2023	Ting Chen Lala Li Saurabh Saxena Geoffrey E. Hinton David J. Fleed
+	Managing AI Risks in an Era of Rapid Progress	2023	Yoshua Bengio Geoffrey E. Hinton Andrew Chi-Chih Yao Dawn Song Pieter Abbeel Yuval Noah Harari Ya-Qin Zhang Xue Lan Shai Shalev‐Shwartz Gillian K. Hadfield
+	How to Represent Part-Whole Hierarchies in a Neural Network	2022	Geoffrey E. Hinton
+	Robust and Efficient Medical Imaging with Self-Supervision	2022	Shekoofeh Azizi Laura Culp Jan Freyberg Basil Mustafa Sebastien Baur Simon Kornblith Ting Chen Patricia MacWilliams S. Sara Mahdavi Ellery Wulczyn
+	A Unified Sequence Interface for Vision Tasks	2022	Ting Chen Saurabh Saxena Lala Li Tsung-Yi Lin David J. Fleet Geoffrey E. Hinton
+	Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning	2022	Ting Chen Ruixiang Zhang Geoffrey E. Hinton
+	Scaling Forward Gradient With Local Losses	2022	Mengye Ren Simon Kornblith Renjie Liao Geoffrey E. Hinton
+	A Generalist Framework for Panoptic Segmentation of Images and Videos	2022	Ting Chen Lala Li Saurabh Saxena Geoffrey E. Hinton David J. Fleet
+	Gaussian-Bernoulli RBMs Without Tears	2022	Renjie Liao Simon Kornblith Mengye Ren David J. Fleet Geoffrey E. Hinton
+	Testing GLOM's ability to infer wholes from ambiguous parts	2022	Laura Culp Sara Sabour Geoffrey E. Hinton
+	Meta-Learning Fast Weight Language Models	2022	Kevin Clark Kelvin Guu Ming‐Wei Chang Panupong Pasupat Geoffrey E. Hinton Mohammad Norouzi
+	The Forward-Forward Algorithm: Some Preliminary Investigations	2022	Geoffrey E. Hinton
+ PDF Chat	Meta-Learning Fast Weight Language Models	2022	Kevin Clark Kelvin Guu Ming‐Wei Chang Panupong Pasupat Geoffrey E. Hinton Mohammad Norouzi
+	Pix2seq: A Language Modeling Framework for Object Detection	2021	Ting Chen Saurabh Saxena Lala Li David J. Fleet Geoffrey E. Hinton
+	How to represent part-whole hierarchies in a neural network	2021	Geoffrey E. Hinton
+	Canonical Capsules: Unsupervised Capsules in Canonical Pose	2020	Weiwei Sun Andrea Tagliasacchi Boyang Deng Sara Sabour Soroosh Yazdani Geoffrey E. Hinton Kwang Moo Yi
+	Teaching with Commentaries	2020	Aniruddh Raghu Maithra Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton
+ PDF Chat	CvxNet: Learnable Convex Decomposition	2020	Boyang Deng Kyle Genova Soroosh Yazdani Sofien Bouaziz Geoffrey E. Hinton Andrea Tagliasacchi
+	Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions	2020	Yao Qin Nicholas Frosst Sara Sabour Colin Raffel Garrison W. Cottrell Geoffrey E. Hinton
+	Imputer: Sequence Modelling via Imputation and Dynamic Programming	2020	William Chan Chitwan Saharia Geoffrey E. Hinton Mohammad Norouzi Navdeep Jaitly
+	Deflecting Adversarial Attacks	2020	Yao Qin Nicholas Frosst Colin Raffel Garrison W. Cottrell Geoffrey E. Hinton
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton
+	Subclass Distillation	2020	Rafael Müller Simon Kornblith Geoffrey E. Hinton
+	Imputer: Sequence Modelling via Imputation and Dynamic Programming	2020	William Chan Chitwan Saharia Geoffrey E. Hinton Mohammad Norouzi Navdeep Jaitly
+	Big Self-Supervised Models are Strong Semi-Supervised Learners	2020	Ting Chen Simon Kornblith Kevin Swersky Mohammad Norouzi Geoffrey E. Hinton
+ PDF Chat	NASA Neural Articulated Shape Approximation	2020	Boyang Deng John Lewis Timothy Jeruzalski Gerard Pons‐Moll Geoffrey E. Hinton Mohammad Norouzi Andrea Tagliasacchi
+	Unsupervised part representation by Flow Capsules	2020	Sara Sabour Andrea Tagliasacchi Soroosh Yazdani Geoffrey E. Hinton David J. Fleet
+	Canonical Capsules: Self-Supervised Capsules in Canonical Pose	2020	Weiwei Sun Andrea Tagliasacchi Boyang Deng Sara Sabour Soroosh Yazdani Geoffrey E. Hinton Kwang Moo Yi
+	Neural Additive Models: Interpretable Machine Learning with Neural Nets	2020	Rishabh Agarwal Levi Melnick Nicholas Frosst Xuezhou Zhang Ben Lengerich Rich Caruana Geoffrey E. Hinton
+	Teaching with Commentaries	2020	Aniruddh Raghu Maithra Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton
+	Stacked Capsule Autoencoders	2019	Adam R. Kosiorek Sara Sabour Yee Whye Teh Geoffrey E. Hinton
+	Similarity of Neural Network Representations Revisited	2019	Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton
+	Cerberus: A Multi-headed Derenderer	2019	Boyang Deng Simon Kornblith Geoffrey E. Hinton
+	Learning Sparse Networks Using Targeted Dropout	2019	Aidan N. Gomez Chunshun Zhang Siddhartha Rao Kamalakara Divyam Madaan Kevin Swersky Yarin Gal Geoffrey E. Hinton
+	Analyzing and Improving Representations with the Soft Nearest Neighbor Loss	2019	Nicholas Frosst Nicolas Papernot Geoffrey E. Hinton
+	Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions	2019	Yao Qin Nicholas Frosst Sara Sabour Colin Raffel Garrison W. Cottrell Geoffrey E. Hinton
+	Lookahead Optimizer: k steps forward, 1 step back	2019	Michael R. Zhang James Lucas Geoffrey E. Hinton Jimmy Ba
+	CvxNet: Learnable Convex Decomposition	2019	Boyang Deng Kyle Genova Soroosh Yazdani Sofien Bouaziz Geoffrey E. Hinton Andrea Tagliasacchi
+	NASA: Neural Articulated Shape Approximation	2019	Boyang Deng JP Lewis Timothy Jeruzalski Gerard Pons‐Moll Geoffrey E. Hinton Mohammad Norouzi Andrea Tagliasacchi
+	Stacked Capsule Autoencoders	2019	Adam R. Kosiorek Sara Sabour Yee Whye Teh Geoffrey E. Hinton
+ PDF Chat	Who Said What: Modeling Individual Labelers Improves Classification	2018	Melody Y. Guan Varun Gulshan Andrew M. Dai Geoffrey E. Hinton
+	Large scale distributed neural network training through online distillation	2018	Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton
+	DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules	2018	Nicholas Frosst Sara Sabour Geoffrey E. Hinton
+	Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures	2018	Sergey Bartunov Adam Santoro Blake A. Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap
+	Large scale distributed neural network training through online distillation	2018	Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton
+	Distilling a Neural Network Into a Soft Decision Tree	2017	Nicholas Frosst Geoffrey E. Hinton
+	Dynamic Routing Between Capsules	2017	Sara Sabour Nicholas Frosst Geoffrey E. Hinton
+	Who Said What: Modeling Individual Labelers Improves Classification	2017	Melody Y. Guan Varun Gulshan Andrew M. Dai Geoffrey E. Hinton
+	Regularizing Neural Networks by Penalizing Confident Output Distributions	2017	Gabriel Pereyra George Tucker Jan Chorowski Łukasz Kaiser Geoffrey E. Hinton
+	Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer	2017	Noam Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton Jeff Dean
+	Dynamic Routing Between Capsules	2017	Sara Sabour Nicholas Frosst Geoffrey E. Hinton
+	Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer	2017	Noam Shazeer Azalia Mirhoseini Krzysztof Maziarz Andrew R. Davis Quoc V. Le Geoffrey E. Hinton Jeff Dean
+	Regularizing Neural Networks by Penalizing Confident Output Distributions	2017	Gabriel Pereyra George Tucker Jan Chorowski Łukasz Kaiser Geoffrey E. Hinton
+	Distilling a Neural Network Into a Soft Decision Tree	2017	Nicholas Frosst Geoffrey E. Hinton
+	Who Said What: Modeling Individual Labelers Improves Classification	2017	Melody Y. Guan Varun Gulshan Andrew M. Dai Geoffrey E. Hinton
+	Using Fast Weights to Attend to the Recent Past	2016	Jimmy Ba Geoffrey E. Hinton Volodymyr Mnih Joel Z. Leibo Catalin Ionescu
+	Layer Normalization	2016	Jimmy Ba Jamie Kiros Geoffrey E. Hinton
+	Attend, Infer, Repeat: Fast Scene Understanding with Generative Models	2016	S. M. Ali Eslami Nicolas Heess Théophane Weber Yuval Tassa David Szepesvari Koray Kavukcuoglu Geoffrey E. Hinton
+	Using Fast Weights to Attend to the Recent Past	2016	Jimmy Ba Geoffrey E. Hinton Volodymyr Mnih Joel Z. Leibo Catalin Ionescu
+	Layer Normalization	2016	Jimmy Ba Jamie Kiros Geoffrey E. Hinton
+	A Simple Way to Initialize Recurrent Networks of Rectified Linear Units	2015	Quoc V. Le Navdeep Jaitly Geoffrey E. Hinton
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean
+	Grammar as a Foreign Language	2014	Oriol Vinyals Łukasz Kaiser Terry Koo Slav Petrov Ilya Sutskever Geoffrey E. Hinton
+	Grammar as a Foreign Language	2014	Oriol Vinyals Łukasz Kaiser Terry K. Koo Slav Petrov Ilya Sutskever Geoffrey E. Hinton
+	Modeling Documents with Deep Boltzmann Machines	2013	Nitish Srivastava Ruslan Salakhutdinov Geoffrey E. Hinton
+	Tensor Analyzers	2013	Yichuan Tang Ruslan Salakhutdinov Geoffrey E. Hinton
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton
+	Speech Recognition with Deep Recurrent Neural Networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton
+	Discovering Multiple Constraints that are Frequently Approximately Satisfied	2013	Geoffrey E. Hinton Yee Whye Teh
+	Speech Recognition with Deep Recurrent Neural Networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton
+	Modeling Documents with Deep Boltzmann Machines	2013	Nitish Srivastava Ruslan Salakhutdinov Geoffrey E. Hinton
+	Efficient Parametric Projection Pursuit Density Estimation	2012	Max Welling Richard S. Zemel Geoffrey E. Hinton
+	Deep Lambertian Networks	2012	Yichuan Tang Ruslan Salakhutdinov Geoffrey E. Hinton
+	Products of Hidden Markov Models: It Takes N>1 to Tango	2012	Graham W. Taylor Geoffrey E. Hinton
+	Deep Lambertian Networks	2012	Yichuan Tang Geoffrey E. Hinton Ruslan Salakhutdinov
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov
+	Conditional Restricted Boltzmann Machines for Structured Output Prediction	2012	Volodymyr Mnih Hugo Larochelle Geoffrey E. Hinton
+	Deep Mixtures of Factor Analysers	2012	Yichuan Tang Ruslan Salakhutdinov Geoffrey E. Hinton
+	Efficient Parametric Projection Pursuit Density Estimation	2012	Max Welling Richard S. Zemel Geoffrey E. Hinton
+	Products of Hidden Markov Models: It Takes N>1 to Tango	2012	Graham W. Taylor Geoffrey E. Hinton
+	Conditional restricted Boltzmann machines for structured output prediction	2011	Volodymyr Mnih Hugo Larochelle Geoffrey E. Hinton
+	Products of Hidden Markov Models: it takes N>1 to tango	2009	Graham W. Taylor Geoffrey E. Hinton
+	Using fast weights to improve persistent contrastive divergence	2009	Tijmen Tieleman Geoffrey E. Hinton
+	Boltzmann machine	2007	Geoffrey E. Hinton
+	A Mode-Hopping MCMC sampler	2003	Cristian Sminchisescu Max Welling Geoffrey E. Hinton
+	Efficient parametric projection pursuit density estimation	2002	Max Welling Richard S. Zemel Geoffrey E. Hinton
+ PDF Chat	Classical and Bayesian Inference in Neuroimaging: Theory	2002	Karl Friston W.D. Penny Christophe Phillips Stefan J. Kiebel Geoffrey E. Hinton John Ashburner
+ PDF Chat	A comparison of statistical learning methods on the GUSTO database	1998	Marguerite Ennis Geoffrey E. Hinton David Naylor Mike Revow Robert Tibshirani
+ PDF Chat	A comparison of statistical learning methods on the GUSTO database	1998	Marguerite Ennis Geoffrey E. Hinton David Naylor Mike Revow Robert Tibshirani
+	None	1998	Robert Tibshirani Geoffrey E. Hinton
+	A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants	1998	Radford M. Neal Geoffrey E. Hinton
+	Hierarchical Non-linear Factor Analysis and Topographic Maps	1997	Zoubin Ghahramani Geoffrey E. Hinton
+	Does the Wake-sleep Algorithm Produce Good Density Estimators?	1995	Brendan J. Frey Geoffrey E. Hinton Peter Dayan
+	Recognizing Handwritten Digits Using Mixtures of Linear Models	1994	Geoffrey E. Hinton Michael Revow Peter Dayan
+	A Learning Algorithm for Boltzmann Machines*	1985	David H. Ackley Geoffrey E. Hinton Terrence J. Sejnowski

Common Coauthors

Coauthor	Papers Together
Sara Sabour	11
Nicholas Frosst	10
Simon Kornblith	10
Mohammad Norouzi	8
Ruslan Salakhutdinov	7
Andrea Tagliasacchi	7
David J. Fleet	6
Boyang Deng	6
Jimmy Ba	5
Soroosh Yazdani	5
Yichuan Tang	4
Łukasz Kaiser	4
Volodymyr Mnih	4
Gabriel Pereyra	4
Max Welling	4
Lala Li	4
Saurabh Saxena	3
Alex Graves	3
Quoc V. Le	3
Garrison W. Cottrell	3
Ting Chen	3
Colin Raffel	3
Navdeep Jaitly	3
Varun Gulshan	3
Graham W. Taylor	3
Oriol Vinyals	3
Nitish Srivastava	3
Ilya Sutskever	3
Robert Tibshirani	3
Richard S. Zemel	3
Melody Y. Guan	3
Yee Whye Teh	3
Abdelrahman Mohamed	3
Philip H. S. Torr	2
Sheila A. McIlraith	2
Jan Chorowski	2
Sören Mindermann	2
Maithra Raghu	2
Kevin Swersky	2
Jeff Dean	2
Róbert Ormándi	2
Timothy Jeruzalski	2
Mike Revow	2
Alexandre Passos	2
Krzysztof Maziarz	2
Chitwan Saharia	2
Frank Hutter	2
Noam Shazeer	2
Ashwin Acharya	2
Gillian K. Hadfield	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	9
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	9
+	Dynamic Routing Between Capsules	2017	Sara Sabour Nicholas Frosst Geoffrey E. Hinton	7
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	6
+ PDF Chat	Learning Implicit Fields for Generative Shape Modeling	2019	Zhiqin Chen Hao Zhang	6
+ PDF Chat	A Point Set Generation Network for 3D Object Reconstruction from a Single Image	2017	Haoqiang Fan Hao Su Leonidas Guibas	6
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	6
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	5
+ PDF Chat	Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image	2016	Federica Bogo Angjoo Kanazawa Christoph Lassner Peter Gehler Javier Romero Michael J. Black	5
+	A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants	1998	Radford M. Neal Geoffrey E. Hinton	5
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	4
+ PDF Chat	Occupancy Networks: Learning 3D Reconstruction in Function Space	2019	Lars Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger	4
+ PDF Chat	Learning Shape Abstractions by Assembling Volumetric Primitives	2017	Shubham Tulsiani Hao Su Leonidas Guibas Alexei A. Efros Jitendra Malik	4
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	4
+ PDF Chat	ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning	2020	Weiwei Sun Wei Jiang Eduard Trulls Andrea Tagliasacchi Kwang Moo Yi	4
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	4
+ PDF Chat	What Do Single-View 3D Reconstruction Networks Learn?	2019	Maxim Tatarchenko Stephan R. Richter René Ranftl Zhuwen Li Vladlen Koltun Thomas Brox	4
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	4
+ PDF Chat	DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation	2019	Jeong Joon Park Pete Florence Julian Straub Richard Newcombe Steven Lovegrove	4
+ PDF Chat	Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images	2018	Nanyang Wang Yinda Zhang Zhuwen Li Yanwei Fu Wei Liu Yu–Gang Jiang	4
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	4
+ PDF Chat	BAE-NET: Branched Autoencoder for Shape Co-Segmentation	2019	Chen Zhiqin Kangxue Yin Matthew Fisher Siddhartha Chaudhuri Hao Zhang	4
+	None	2001	Radford M. Neal	4
+	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling	2016	Jiajun Wu Chengkai Zhang Tianfan Xue William T. Freeman Joshua B. Tenenbaum	3
+	Sequence Transduction with Recurrent Neural Networks	2012	Alex Graves	3
+	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	2016	Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey	3
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	3
+	Adversarial examples in the physical world	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	3
+ PDF Chat	Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation	2019	He Wang Srinath Sridhar Jingwei Huang Julien Valentin Shuran Song Leonidas Guibas	3
+ PDF Chat	End-to-End Recovery of Human Shape and Pose	2018	Angjoo Kanazawa Michael J. Black David W. Jacobs Jitendra Malik	3
+	Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples.	2019	Hossein Hosseini Sreeram Kannan Radha Poovendran	3
+ PDF Chat	3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction	2016	Christopher Choy Danfei Xu JunYoung Gwak Kai Chen Silvio Savarese	3
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	3
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling	2013	Ciprian Chelba Tomáš Mikolov Mike Schuster Qi Ge Thorsten Brants Phillipp Koehn Tony Robinson	3
+ PDF Chat	Adversarial Attacks and Defences Competition	2018	Alexey Kurakin Ian Goodfellow Samy Bengio Yinpeng Dong Fangzhou Liao Ming Liang Tianyu Pang Jun Zhu Xiaolin Hu Cihang Xie	3
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	3
+	Detecting Adversarial Samples from Artifacts.	2017	Reuben Feinman Ryan R. Curtin Saurabh Shintre Andrew B. Gardner	3
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	3
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	3
+	On the (Statistical) Detection of Adversarial Examples	2017	Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel	3
+ PDF Chat	Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs	2017	Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox	3
+ PDF Chat	Effective Approaches to Attention-based Neural Machine Translation	2015	Thang Luong Hieu Pham Christopher D. Manning	3
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	3
+	Exploring the Limits of Language Modeling	2016	Rafał Józefowicz Oriol Vinyals Mike Schuster Noam Shazeer Yonghui Wu	3
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	3
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	3
+	A Learning Algorithm for Boltzmann Machines*	1985	David H. Ackley Geoffrey E. Hinton Terrence J. Sejnowski	3
+ PDF Chat	Learning Category-Specific Mesh Reconstruction from Image Collections	2018	Angjoo Kanazawa Shubham Tulsiani Alexei A. Efros Jitendra Malik	3
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	3