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Hierarchical Multi-Scale Attention for Semantic Segmentation

May 21, 2020
Andrew Tao, Karan Sapra, Bryan Catanzaro

* 11 pages, 5 figures 

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Large Scale Multi-Actor Generative Dialog Modeling

May 13, 2020
Alex Boyd, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro


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Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis

May 13, 2020
Rafael Valle, Kevin Shih, Ryan Prenger, Bryan Catanzaro

* 10 pages, 7 pictures 

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Panoptic-based Image Synthesis

Apr 21, 2020
Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro

* CVPR 2020 

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Training Question Answering Models From Synthetic Data

Feb 22, 2020
Raul Puri, Ryan Spring, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro


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Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos

Jan 26, 2020
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro


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Neural ODEs for Image Segmentation with Level Sets

Dec 25, 2019
Rafael Valle, Fitsum Reda, Mohammad Shoeybi, Patrick Legresley, Andrew Tao, Bryan Catanzaro


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Zero-shot Text Classification With Generative Language Models

Dec 10, 2019
Raul Puri, Bryan Catanzaro


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Few-shot Video-to-Video Synthesis

Oct 28, 2019
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro

* In NeurIPS, 2019 

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Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens

Oct 26, 2019
Rafael Valle, Jason Li, Ryan Prenger, Bryan Catanzaro

* 5 pages, 3 figures, 1 table 

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Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Oct 05, 2019
Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper, Bryan Catanzaro


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Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning

Sep 26, 2019
Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro


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Video Interpolation and Prediction with Unsupervised Landmarks

Sep 06, 2019
Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro

* Technical Report 

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Unsupervised Video Interpolation Using Cycle Consistency

Jun 13, 2019
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro


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SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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Graphical Contrastive Losses for Scene Graph Generation

Mar 28, 2019
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro


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Improving Semantic Segmentation via Video Propagation and Label Relaxation

Dec 04, 2018
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro

* First two authors contribute equally 

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Practical Text Classification With Large Pre-Trained Language Models

Dec 04, 2018
Neel Kant, Raul Puri, Nikolai Yakovenko, Bryan Catanzaro

* 8 pages, submitted to AAAI 2019 

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Partial Convolution based Padding

Nov 28, 2018
Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro

* 11 pages; code is available at https://github.com/NVIDIA/partialconv 

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An Interpretable Model for Scene Graph Generation

Nov 21, 2018
Ji Zhang, Kevin Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal

* arXiv admin note: substantial text overlap with arXiv:1811.00662 

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SDCNet: Video Prediction Using Spatially-Displaced Convolution

Nov 02, 2018
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro

* Published in ECCV 2018 

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Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge

Nov 01, 2018
Ji Zhang, Kevin Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal


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WaveGlow: A Flow-based Generative Network for Speech Synthesis

Oct 31, 2018
Ryan Prenger, Rafael Valle, Bryan Catanzaro

* 5 pages, 1 figure, 1 table, 13 equations 

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Video-to-Video Synthesis

Aug 20, 2018
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro

* Code, models, and more results are available at https://github.com/NVIDIA/vid2vid 

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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Aug 20, 2018
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro

* v2: CVPR camera ready, adding more results for edge-to-photo examples 

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Large Scale Language Modeling: Converging on 40GB of Text in Four Hours

Aug 11, 2018
Raul Puri, Robert Kirby, Nikolai Yakovenko, Bryan Catanzaro

* 8 pages; To appear in High Performance Machine Learning Workshop (HPML) 2018 

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Image Inpainting for Irregular Holes Using Partial Convolutions

Apr 20, 2018
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro

* 23 pages, includes appendix 

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Malware Detection by Eating a Whole EXE

Oct 25, 2017
Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles Nicholas


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