Learning to Disentangle Factors of Variation with Manifold Interaction. - Scott E. Reed; Kihyuk Sohn; Yuting Zhang 001; Honglak Lee (ICML, 2014)

Scalable, High-Quality Object Detection. - Christian Szegedy; Scott E. Reed; Dumitru Erhan; Dragomir Anguelov (CoRR, 2014)

Evaluation of output embeddings for fine-grained image classification. - Zeynep Akata; Scott E. Reed; Daniel Walter; Honglak Lee; Bernt Schiele (CVPR, 2015)

Going deeper with convolutions. - Christian Szegedy; Wei Liu 015; Yangqing Jia; Pierre Sermanet; Scott E. Reed; Dragomir Anguelov; Dumitru Erhan; Vincent Vanhoucke; Andrew Rabinovich (CVPR, 2015)

Deep Visual Analogy-Making. - Scott E. Reed; Yi Zhang; Yuting Zhang 001; Honglak Lee (NIPS, 2015)

Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis. - Jimei Yang; Scott E. Reed; Ming-Hsuan Yang 001; Honglak Lee (NIPS, 2015)

Training Deep Neural Networks on Noisy Labels with Bootstrapping. - Scott E. Reed; Honglak Lee; Dragomir Anguelov; Christian Szegedy; Dumitru Erhan; Andrew Rabinovich (ICLR (Workshop), 2015)

Learning Deep Representations of Fine-Grained Visual Descriptions. - Scott E. Reed; Zeynep Akata; Honglak Lee; Bernt Schiele (CVPR, 2016)

SSD: Single Shot MultiBox Detector. - Wei Liu 015; Dragomir Anguelov; Dumitru Erhan; Christian Szegedy; Scott E. Reed; Cheng-Yang Fu; Alexander C. Berg (ECCV (1), 2016)

Generative Adversarial Text to Image Synthesis. - Scott E. Reed; Zeynep Akata; Xinchen Yan; Lajanugen Logeswaran; Bernt Schiele; Honglak Lee (ICML, 2016)

Learning What and Where to Draw. - Scott E. Reed; Zeynep Akata; Santosh Mohan; Samuel Tenka; Bernt Schiele; Honglak Lee (NIPS, 2016)

Neural Programmer-Interpreters. - Scott E. Reed; Nando de Freitas (ICLR, 2016)

Deep Neural Networks for Visual Reasoning, Program Induction, and Text-to-Image Synthesis. - Scott E. Reed (2016)

Parallel Multiscale Autoregressive Density Estimation. - Scott E. Reed; Aäron van den Oord; Nal Kalchbrenner; Sergio Gomez Colmenarejo; Ziyu Wang 001; Yutian Chen 001; Dan Belov; Nando de Freitas (ICML, 2017)

Robust Imitation of Diverse Behaviors. - Ziyu Wang 001; Josh Merel; Scott E. Reed; Nando de Freitas; Gregory Wayne; Nicolas Heess (NIPS, 2017)

Parallel Multiscale Autoregressive Density Estimation. - Scott E. Reed; Aäron van den Oord; Nal Kalchbrenner; Sergio Gomez Colmenarejo; Ziyu Wang 001; Dan Belov; Nando de Freitas (CoRR, 2017)

Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. - Scott E. Reed; Yutian Chen 001; Thomas Paine; Aäron van den Oord; S. M. Ali Eslami; Danilo J. Rezende; Oriol Vinyals; Nando de Freitas (ICLR (Poster), 2018)

Neural Arithmetic Logic Units. - Andrew Trask; Felix Hill; Scott E. Reed; Jack W. Rae; Chris Dyer; Phil Blunsom (NeurIPS, 2018)

One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL. - Tom Le Paine; Sergio Gomez Colmenarejo; Ziyu Wang 001; Scott E. Reed; Yusuf Aytar; Tobias Pfaff; Matthew W. Hoffman; Gabriel Barth-Maron; Serkan Cabi; David Budden; Nando de Freitas (CoRR, 2018)

Sample Efficient Adaptive Text-to-Speech. - Yutian Chen 001; Yannis M. Assael; Brendan Shillingford; David Budden; Scott E. Reed; Heiga Zen; Quan Wang; Luis C. Cobo; Andrew Trask; Ben Laurie; Çaglar Gülçehre; Aäron van den Oord; et al. (ICLR (Poster), 2019)

Learning Compositional Neural Programs with Recursive Tree Search and Planning. - Thomas Pierrot; Guillaume Ligner; Scott E. Reed; Olivier Sigaud; Nicolas Perrin 001; Alexandre Laterre; David Kas; Karim Beguir; Nando de Freitas (NeurIPS, 2019)

A Framework for Data-Driven Robotics. - Serkan Cabi; Sergio Gómez Colmenarejo; Alexander Novikov 001; Ksenia Konyushkova; Scott E. Reed; Rae Jeong; Konrad Zolna; Yusuf Aytar; David Budden; Mel Vecerík; Oleg Sushkov; David Barker; et al. (CoRR, 2019)

Task-Relevant Adversarial Imitation Learning. - Konrad Zolna; Scott E. Reed; Alexander Novikov 001; Sergio Gómez Colmenarejo; David Budden; Serkan Cabi; Misha Denil; Nando de Freitas; Ziyu Wang 001 (CoRL, 2020)

Critic Regularized Regression. - Ziyu Wang 001; Alexander Novikov 001; Konrad Zolna; Josh Merel; Jost Tobias Springenberg; Scott E. Reed; Bobak Shahriari; Noah Y. Siegel; Çaglar Gülçehre; Nicolas Heess; Nando de Freitas (NeurIPS, 2020)

Scaling data-driven robotics with reward sketching and batch reinforcement learning. - Serkan Cabi; Sergio Gómez Colmenarejo; Alexander Novikov 001; Ksenia Konyushkova; Scott E. Reed; Rae Jeong; Konrad Zolna; Yusuf Aytar; David Budden; Mel Vecerík; Oleg Sushkov; David Barker; et al. (Robotics: Science and Systems, 2020)

Offline Learning from Demonstrations and Unlabeled Experience. - Konrad Zolna; Alexander Novikov 001; Ksenia Konyushkova; Çaglar Gülçehre; Ziyu Wang 001; Yusuf Aytar; Misha Denil; Nando de Freitas; Scott E. Reed (CoRR, 2020)

Semi-supervised reward learning for offline reinforcement learning. - Ksenia Konyushkova; Konrad Zolna; Yusuf Aytar; Alexander Novikov 001; Scott E. Reed; Serkan Cabi; Nando de Freitas (CoRR, 2020)

Shaking the foundations: delusions in sequence models for interaction and control. - Pedro A. Ortega; Markus Kunesch; Grégoire Delétang; Tim Genewein; Jordi Grau-Moya; Joel Veness; Jonas Buchli; Jonas Degrave; Bilal Piot; Julien Pérolat; Tom Everitt; Corentin Tallec; et al. (CoRR, 2021)

A Generalist Agent. - Scott E. Reed; Konrad Zolna; Emilio Parisotto; Sergio Gómez Colmenarejo; Alexander Novikov 001; Gabriel Barth-Maron; Mai Gimenez; Yury Sulsky; Jackie Kay; Jost Tobias Springenberg; Tom Eccles; Jake Bruce; et al. (Trans. Mach. Learn. Res., 2022)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá 001; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

Genie: Generative Interactive Environments. - Jake Bruce; Michael D. Dennis; Ashley Edwards; Jack Parker-Holder; Yuge Shi; Edward Hughes 001; Matthew Lai; Aditi Mavalankar; Richie Steigerwald; Chris Apps; Yusuf Aytar; Sarah Bechtle; et al. (ICML, 2024)

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Manon Devin; Alex X. Lee; Maria Bauzá Villalonga; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (Trans. Mach. Learn. Res., 2024)