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GAUDI: A Neural Architect for Immersive 3D Scene Generation


Jul 27, 2022
Miguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh Susskind

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* Project webpage: https://github.com/apple/ml-gaudi 

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Position Prediction as an Effective Pretraining Strategy


Jul 15, 2022
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua Susskind

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* Accepted to ICML 2022 

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Efficient Representation Learning via Adaptive Context Pooling


Jul 05, 2022
Chen Huang, Walter Talbott, Navdeep Jaitly, Josh Susskind

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* ICML 2022 

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Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation


Jan 28, 2022
Martin Bertran, Walter Talbott, Nitish Srivastava, Joshua Susskind

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Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models


Dec 02, 2021
Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh Susskind

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* NeurIPS Deep Reinforcement Learning Workshop 2021. Code can be found at https://github.com/apple/ml-core 

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Regularized Training of Nearest Neighbor Language Models


Sep 16, 2021
Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh Susskind

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An Attention Free Transformer


May 28, 2021
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh Susskind

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On the generalization of learning-based 3D reconstruction


Jun 27, 2020
Miguel Angel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M Susskind

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Set Distribution Networks: a Generative Model for Sets of Images


Jun 18, 2020
Shuangfei Zhai, Walter Talbott, Miguel Angel Bautista, Carlos Guestrin, Josh M. Susskind

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Adversarial Fisher Vectors for Unsupervised Representation Learning


Oct 29, 2019
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind

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* Accepted as spotlight presentation to NeurIPS 2019 

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