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Image Super-Resolution via Iterative Refinement


Apr 15, 2021
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi


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Bridging the Gap Between Adversarial Robustness and Optimization Bias


Feb 17, 2021
Fartash Faghri, Cristina Vasconcelos, David J. Fleet, Fabian Pedregosa, Nicolas Le Roux


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Unsupervised part representation by Flow Capsules


Nov 27, 2020
Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet


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A Study of Gradient Variance in Deep Learning


Jul 09, 2020
Fartash Faghri, David Duvenaud, David J. Fleet, Jimmy Ba


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Exemplar VAEs for Exemplar based Generation and Data Augmentation


Apr 09, 2020
Sajad Norouzi, David J. Fleet, Mohammad Norouzi


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SentenceMIM: A Latent Variable Language Model


Mar 06, 2020
Micha Livne, Kevin Swersky, David J. Fleet

* Preprint 

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MIM: Mutual Information Machine


Oct 14, 2019
Micha Livne, Kevin Swersky, David J. Fleet

* Pre-print. Project webpage: https://research.seraphlabs.ca/projects/mim/ 

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High Mutual Information in Representation Learning with Symmetric Variational Inference


Oct 04, 2019
Micha Livne, Kevin Swersky, David J. Fleet

* Bayesian Deep Learning Workshop (NeurIPS 2019). arXiv admin note: substantial text overlap with arXiv:1910.03175 

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Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture


Dec 04, 2018
Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet

* 8 pages, 9 figures, accepted to CRV 2018 (Conference on Computer and Robot Vision) 

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TzK Flow - Conditional Generative Model


Nov 30, 2018
Micha Livne, David J. Fleet

* 5 pages, 4 figures, Accepted to Bayesian Deep Learning Workshop NIPS 2018, camera ready 

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VSE++: Improving Visual-Semantic Embeddings with Hard Negatives


Jul 29, 2018
Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler

* Accepted as spotlight presentation at British Machine Vision Conference (BMVC) 2018. Code: https://github.com/fartashf/vsepp 

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Adversarial Manipulation of Deep Representations


Mar 04, 2016
Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet

* Accepted as a conference paper at ICLR 2016 

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Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions


Nov 24, 2015
Yanshuai Cao, David J. Fleet

* Modern Nonparametrics 3: Automating the Learning Pipeline workshop at NIPS 2014 

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Transductive Log Opinion Pool of Gaussian Process Experts


Nov 24, 2015
Yanshuai Cao, David J. Fleet

* Accepted at NIPS2015 Workshop on Nonparametric Methods for Large Scale Representation Learning 

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Efficient non-greedy optimization of decision trees


Nov 12, 2015
Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli

* in NIPS 2015 

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CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits


Jun 24, 2015
Mohammad Norouzi, Maxwell D. Collins, David J. Fleet, Pushmeet Kohli


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Building Proteins in a Day: Efficient 3D Molecular Reconstruction


Apr 14, 2015
Marcus A. Brubaker, Ali Punjani, David J. Fleet

* To be presented at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 

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Fast Exact Search in Hamming Space with Multi-Index Hashing


Apr 25, 2014
Mohammad Norouzi, Ali Punjani, David J. Fleet


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Efficient Optimization for Sparse Gaussian Process Regression


Nov 11, 2013
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann

* To appear in NIPS 2013 

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Lattice Particle Filters


Jan 10, 2013
Dirk Ormoneit, Christiane Lemieux, David J. Fleet

* Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001) 

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