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View Generalization for Single Image Textured 3D Models


Jun 10, 2021
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro

* CVPR 2021. Project website: https://nv-adlr.github.io/view-generalization 

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Efficient Large-Scale Language Model Training on GPU Clusters


Apr 09, 2021
Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia


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Dual Contrastive Loss and Attention for GANs


Mar 31, 2021
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz


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End-to-End Training of Neural Retrievers for Open-Domain Question Answering


Jan 02, 2021
Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L Hamilton, Bryan Catanzaro

* Preprint 

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Local Knowledge Powered Conversational Agents


Oct 20, 2020
Sashank Santhanam, Wei Ping, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro


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MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models


Oct 02, 2020
Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro

* Accepted in EMNLP 2020 main conference 

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DiffWave: A Versatile Diffusion Model for Audio Synthesis


Sep 21, 2020
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro


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Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter


Jul 14, 2020
Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro


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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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