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04/26/2023
Controllable Image Generation via Collage Representations
Recent advances in conditional generative image models have enabled impr...
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02/16/2020
Reinforced active learning for image segmentation
Learning-based approaches for semantic segmentation have two inherent ch...
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09/19/2019
Learning Sparse Mixture of Experts for Visual Question Answering
There has been a rapid progress in the task of Visual Question Answering...
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05/27/2019
Structure Learning for Neural Module Networks
Neural Module Networks, originally proposed for the task of visual quest...
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04/09/2019
Active Domain Randomization
Domain randomization is a popular technique for improving domain transfe...
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04/02/2019
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
As deep reinforcement learning driven by visual perception becomes more ...
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01/22/2019
Visual Imitation Learning with Recurrent Siamese Networks
People solve the difficult problem of understanding the salient features...
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03/30/2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
A lot of the recent success in natural language processing (NLP) has bee...
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05/27/2017
Deep Complex Networks
At present, the vast majority of building blocks, techniques, and archit...
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11/18/2015