Dimitry Fisher

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All published works

Action	Title	Year	Authors
+	Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features	2018	Naveen Sai Madiraju Seid M. Sadat Dimitry Fisher H. Karimabadi
+	Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network	2016	Filip Piȩkniewski Patryk A. Laurent Csaba Petre Micah Richert Dimitry Fisher Todd Hylton
+	Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback	2016	Micah Richert Dimitry Fisher Filip Piȩkniewski Eugene M. Izhikevich Todd Hylton

Common Coauthors

Coauthor	Papers Together
Micah Richert	2
Todd Hylton	2
Filip Piȩkniewski	2
Naveen Sai Madiraju	1
Eugene M. Izhikevich	1
Csaba Petre	1
Seid M. Sadat	1
Patryk A. Laurent	1
H. Karimabadi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	2
+	Efficient Visual Coding: From Retina To V2	2013	Honghao Shan Garrison W. Cottrell	1
+ PDF Chat	Deep neural networks are easily fooled: High confidence predictions for unrecognizable images	2015	Anh‐Tu Nguyen Jason Yosinski Jeff Clune	1
+	A Learning Algorithm for Boltzmann Machines*	1985	David H. Ackley Geoffrey E. Hinton Terrence J. Sejnowski	1
+	Learning Longer Memory in Recurrent Neural Networks	2014	Tomáš Mikolov Armand Joulin Sumit Chopra Michaël Mathieu Marc ' Aurelio Ranzato	1
+ PDF Chat	Time Series: Theory and Methods	1992	Eric R. Ziegel Peter J. Brockwell Richard A. Davis	1
+	Unsupervised Learning of Visual Structure using Predictive Generative Networks	2015	William Lotter Gabriel Kreiman David Cox	1
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	1
+	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	1
+	Dynamic Memory Networks for Visual and Textual Question Answering	2016	Caiming Xiong Stephen Merity Richard Socher	1
+	Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection	2016	Sergey Levine Peter Pástor Alex Krizhevsky Deirdre Quillen	1
+	Cross-stitch Networks for Multi-task Learning	2016	Ishan Misra Abhinav Shrivastava Abhinav Gupta Martial Hebert	1
+	Self-Transfer Learning for Fully Weakly Supervised Object Localization	2016	Sangheum Hwang Hyoeun Kim	1
+	Adversarial examples in the physical world	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	1
+	Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network	2016	Filip Piȩkniewski Patryk A. Laurent Csaba Petre Micah Richert Dimitry Fisher Todd Hylton	1
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Machine Learning that Matters	2012	Kiri L. Wagstaff	1
+	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	1
+	Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering	2016	Bo Yang Xiao Fu Nicholas D. Sidiropoulos Mingyi Hong	1
+	Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network	2015	Seunghoon Hong Tackgeun You Suha Kwak Bohyung Han	1
+	Video (language) modeling: a baseline for generative models of natural videos.	2014	Marc’Aurelio Ranzato Arthur Szlam Joan Bruna Michaël Mathieu Ronan Collobert Sumit Chopra	1
+	Language Models for Image Captioning: The Quirks and What Works	2015	Jacob Devlin Hao Cheng Hao Fang Saurabh Gupta Li Deng Xiaodong He Geoffrey Zweig Margaret Mitchell	1