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06/01/2023
Diffusion Self-Guidance for Controllable Image Generation
Large-scale generative models are capable of producing high-quality imag...
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05/15/2023
MIMEx: Intrinsic Rewards from Masked Input Modeling
Exploring in environments with high-dimensional observations is hard. On...
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12/22/2022
Scalable Adaptive Computation for Iterative Generation
We present the Recurrent Interface Network (RIN), a neural net architect...
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04/04/2022
Object Permanence Emerges in a Random Walk along Memory
This paper proposes a self-supervised objective for learning representat...
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03/18/2022
Discovering Objects that Can Move
This paper studies the problem of object discovery – separating objects ...
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01/20/2022
Learning Pixel Trajectories with Multiscale Contrastive Random Walks
A range of video modeling tasks, from optical flow to multiple object tr...
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06/25/2020
Space-Time Correspondence as a Contrastive Random Walk
This paper proposes a simple self-supervised approach for learning repre...
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12/23/2019
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning
Learning robotic manipulation tasks using reinforcement learning with sp...
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12/09/2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning
In principle, meta-reinforcement learning algorithms leverage experience...
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03/18/2019
Learning Correspondence from the Cycle-Consistency of Time
We introduce a self-supervised method for learning visual correspondence...
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04/02/2018
Universal Planning Networks
A key challenge in complex visuomotor control is learning abstract repre...
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07/19/2017
Learning Visually Grounded Sentence Representations
We introduce a variety of models, trained on a supervised image captioni...
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01/31/2017
CommAI: Evaluating the first steps towards a useful general AI
With machine learning successfully applied to new daunting problems almo...
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12/29/2016
Learning Visual N-Grams from Web Data
Real-world image recognition systems need to recognize tens of thousands...
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06/27/2016
