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11/28/2022
Continuous diffusion for categorical data
Diffusion models have quickly become the go-to paradigm for generative m...
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11/08/2022
Self-conditioned Embedding Diffusion for Text Generation
Can continuous diffusion models bring the same performance breakthrough ...
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09/22/2022
A Generalist Neural Algorithmic Learner
The cornerstone of neural algorithmic reasoning is the ability to solve ...
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05/06/2021
Computer-Aided Design as Language
Computer-Aided Design (CAD) applications are used in manufacturing to mo...
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02/23/2020
PolyGen: An Autoregressive Generative Model of 3D Meshes
Polygon meshes are an efficient representation of 3D geometry, and are o...
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10/02/2019
Unsupervised Doodling and Painting with Improved SPIRAL
We investigate using reinforcement learning agents as generative models ...
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04/03/2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
Advances in deep generative networks have led to impressive results in r...
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12/12/2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
Directed latent variable models that formulate the joint distribution as...
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07/25/2016
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
In this work, we consider the task of generating highly-realistic images...
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12/16/2015
Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification
In this work we propose a new architecture for person re-identification....
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05/28/2015
Domain-Adversarial Training of Neural Networks
We introduce a new representation learning approach for domain adaptatio...
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12/19/2014
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
We propose a simple two-step approach for speeding up convolution layers...
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09/26/2014
Unsupervised Domain Adaptation by Backpropagation
Top-performing deep architectures are trained on massive amounts of labe...
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06/25/2014