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01/13/2021
Asymmetric self-play for automatic goal discovery in robotic manipulation
We train a single, goal-conditioned policy that can solve many robotic m...
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10/27/2020
Behavior Priors for Efficient Reinforcement Learning
As we deploy reinforcement learning agents to solve increasingly challen...
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11/25/2019
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
We propose a novel meta-learning framework for real-time object tracking...
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03/18/2019
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL
As reinforcement learning agents are tasked with solving more challengin...
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10/03/2018
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
We study how to leverage off-the-shelf visual and linguistic data to cop...
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10/14/2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Overfitting is one of the most critical challenges in deep neural networ...
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12/19/2016
Large-Scale Image Retrieval with Attentive Deep Local Features
We propose an attentive local feature descriptor suitable for large-scal...
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06/12/2016
Training Recurrent Answering Units with Joint Loss Minimization for VQA
We propose a novel algorithm for visual question answering based on a re...
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11/18/2015
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
We tackle image question answering (ImageQA) problem by learning a convo...
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06/16/2015
