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Semi-supervised reward learning for offline reinforcement learning


Dec 12, 2020
Ksenia Konyushkova, Konrad Zolna, Yusuf Aytar, Alexander Novikov, Scott Reed, Serkan Cabi, Nando de Freitas

* Accepted to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020) 

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Offline Learning from Demonstrations and Unlabeled Experience


Nov 27, 2020
Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Caglar Gulcehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott Reed

* Accepted to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020) 

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Critic Regularized Regression


Jun 26, 2020
Ziyu Wang, Alexander Novikov, Konrad 呕o艂na, Jost Tobias Springenberg, Scott Reed, Bobak Shahriari, Noah Siegel, Josh Merel, Caglar Gulcehre, Nicolas Heess, Nando de Freitas

* 23 pages 

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Task-Relevant Adversarial Imitation Learning


Oct 02, 2019
Konrad Zolna, Scott Reed, Alexander Novikov, Sergio Gomez Colmenarej, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang


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A Framework for Data-Driven Robotics


Sep 26, 2019
Serkan Cabi, Sergio G贸mez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad 呕o艂na, Yusuf Aytar, David Budden, Mel Vecerik, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang


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Learning Compositional Neural Programs with Recursive Tree Search and Planning


May 30, 2019
Thomas Pierrot, Guillaume Ligner, Scott Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas


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One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL


Oct 11, 2018
Tom Le Paine, Sergio G贸mez Colmenarejo, Ziyu Wang, Scott Reed, Yusuf Aytar, Tobias Pfaff, Matt W. Hoffman, Gabriel Barth-Maron, Serkan Cabi, David Budden, Nando de Freitas


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Sample Efficient Adaptive Text-to-Speech


Sep 27, 2018
Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, A盲ron van den Oord, Oriol Vinyals, Nando de Freitas


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Neural Arithmetic Logic Units


Aug 01, 2018
Andrew Trask, Felix Hill, Scott Reed, Jack Rae, Chris Dyer, Phil Blunsom


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ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans


Mar 28, 2018
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, J眉rgen Sturm, Matthias Nie脽ner

* Video: https://youtu.be/5s5s8iH0NF8 

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Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions


Feb 28, 2018
Scott Reed, Yutian Chen, Thomas Paine, A盲ron van den Oord, S. M. Ali Eslami, Danilo Rezende, Oriol Vinyals, Nando de Freitas


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Robust Imitation of Diverse Behaviors


Jul 14, 2017
Ziyu Wang, Josh Merel, Scott Reed, Greg Wayne, Nando de Freitas, Nicolas Heess


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Parallel Multiscale Autoregressive Density Estimation


Mar 10, 2017
Scott Reed, A盲ron van den Oord, Nal Kalchbrenner, Sergio G贸mez Colmenarejo, Ziyu Wang, Dan Belov, Nando de Freitas


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SSD: Single Shot MultiBox Detector


Dec 29, 2016
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C. Berg

* ECCV 2016 

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Learning What and Where to Draw


Oct 08, 2016
Scott Reed, Zeynep Akata, Santosh Mohan, Samuel Tenka, Bernt Schiele, Honglak Lee

* In NIPS 2016 

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Generative Adversarial Text to Image Synthesis


Jun 05, 2016
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee

* ICML 2016 

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Learning Deep Representations of Fine-grained Visual Descriptions


May 17, 2016
Scott Reed, Zeynep Akata, Bernt Schiele, Honglak Lee

* CVPR 2016 

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Neural Programmer-Interpreters


Feb 29, 2016
Scott Reed, Nando de Freitas

* ICLR 2016 conference submission 

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Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis


Jan 05, 2016
Jimei Yang, Scott Reed, Ming-Hsuan Yang, Honglak Lee

* This was published in NIPS 2015 conference 

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Scalable, High-Quality Object Detection


Dec 09, 2015
Christian Szegedy, Scott Reed, Dumitru Erhan, Dragomir Anguelov, Sergey Ioffe


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Evaluation of Output Embeddings for Fine-Grained Image Classification


Aug 28, 2015
Zeynep Akata, Scott Reed, Daniel Walter, Honglak Lee, Bernt Schiele

* @inproceedings {ARWLS15, title = {Evaluation of Output Embeddings for Fine-Grained Image Classification}, booktitle = {IEEE Computer Vision and Pattern Recognition}, year = {2015}, author = {Zeynep Akata and Scott Reed and Daniel Walter and Honglak Lee and Bernt Schiele} } 

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Training Deep Neural Networks on Noisy Labels with Bootstrapping


Apr 15, 2015
Scott Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich


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Going Deeper with Convolutions


Sep 17, 2014
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich


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