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Adversarial Masking for Self-Supervised Learning


Jan 31, 2022
Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek


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Learning Multimodal VAEs through Mutual Supervision


Jul 01, 2021
Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, N. Siddharth


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InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents


Jun 25, 2021
Ning Miao, Emile Mathieu, N. Siddharth, Yee Whye Teh, Tom Rainforth


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Gradient Matching for Domain Generalization


Apr 20, 2021
Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve


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Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models


Jul 02, 2020
Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth


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Rethinking Semi-Supervised Learning in VAEs


Jun 17, 2020
Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, N. Siddharth, Tom Rainforth


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Simulation-Based Inference for Global Health Decisions


May 14, 2020
Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip Torr, Atılım Güneş Baydin


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A Revised Generative Evaluation of Visual Dialogue


Apr 24, 2020
Daniela Massiceti, Viveka Kulharia, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr

* 16 pages, 5 figures 

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Lessons from reinforcement learning for biological representations of space


Dec 13, 2019
Alex Muryy, N. Siddharth, Nantas Nardelli, Andrew Glennerster, Philip H. S. Torr

* 33 pages including Appendix, 5 figures plus 3 figures in Appendix 

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Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models


Nov 08, 2019
Yuge Shi, N. Siddharth, Brooks Paige, Philip H. S. Torr


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Multitask Soft Option Learning


Apr 01, 2019
Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson


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Visual Dialogue without Vision or Dialogue


Dec 16, 2018
Daniela Massiceti, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr

* 2018 NeurIPS Workshop on Critiquing and Correcting Trends in Machine Learning 

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Faithful Inversion of Generative Models for Effective Amortized Inference


Oct 24, 2018
Stefan Webb, Adam Golinski, Robert Zinkov, N. Siddharth, Tom Rainforth, Yee Whye Teh, Frank Wood

* To appear at the 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montreal, Canada 

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Structured Disentangled Representations


May 29, 2018
Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer Dy, Jan-Willem van de Meent


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Revisiting Reweighted Wake-Sleep


May 26, 2018
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood

* Tuan Anh Le and Adam R. Kosiorek contributed equally 

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DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis


Apr 17, 2018
Rodrigo de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr

* Keywords: semi-supervised learning, deep generative models, variational autoencoders, human pose estimation 

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FlipDial: A Generative Model for Two-Way Visual Dialogue


Apr 03, 2018
Daniela Massiceti, N. Siddharth, Puneet K. Dokania, Philip H. S. Torr


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Learning Disentangled Representations with Semi-Supervised Deep Generative Models


Nov 13, 2017
N. Siddharth, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Noah D. Goodman, Pushmeet Kohli, Frank Wood, Philip H. S. Torr

* Accepted for publication at NIPS 2017 

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Playing Doom with SLAM-Augmented Deep Reinforcement Learning


Dec 01, 2016
Shehroze Bhatti, Alban Desmaison, Ondrej Miksik, Nantas Nardelli, N. Siddharth, Philip H. S. Torr


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Inducing Interpretable Representations with Variational Autoencoders


Nov 22, 2016
N. Siddharth, Brooks Paige, Alban Desmaison, Jan-Willem Van de Meent, Frank Wood, Noah D. Goodman, Pushmeet Kohli, Philip H. S. Torr

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs


Sep 09, 2015
Andreas Stuhlmüller, Robert X. D. Hawkins, N. Siddharth, Noah D. Goodman


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Seeing What You're Told: Sentence-Guided Activity Recognition In Video


May 28, 2014
N. Siddharth, Andrei Barbu, Jeffrey Mark Siskind

* To appear in CVPR 2014 

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Saying What You're Looking For: Linguistics Meets Video Search


Sep 20, 2013
Andrei Barbu, N. Siddharth, Jeffrey Mark Siskind

* 13 pages, 8 figures 

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