Search Results
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
tensorflow/models
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ICLR 2018
When evaluated on a number of continuous control tasks, Trust-PCL improves the solution quality and sample efficiency of TRPO.
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
We propose a new benchmark corpus to be used for measuring progress in statistical language modeling.
Ranked #22 on
Language Modelling
on One Billion Word
MoViNets: Mobile Video Networks for Efficient Video Recognition
tensorflow/models
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CVPR 2021
We present Mobile Video Networks (MoViNets), a family of computation and memory efficient video networks that can operate on streaming video for online inference.
Ranked #3 on
Action Classification
on Charades
Meta-Learning Update Rules for Unsupervised Representation Learning
tensorflow/models
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ICLR 2019
Specifically, we target semi-supervised classification performance, and we meta-learn an algorithm -- an unsupervised weight update rule -- that produces representations useful for this task.
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
tensorflow/models
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ICLR 2019
We study the problem of representation learning in goal-conditioned hierarchical reinforcement learning.
Scalable Learning of Non-Decomposable Objectives
Modern retrieval systems are often driven by an underlying machine learning model.
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
tensorflow/models
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NeurIPS 2016
We study the problem of synthesizing a number of likely future frames from a single input image.
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
The essence of the trick is to refactor each stochastic node into a differentiable function of its parameters and a random variable with fixed distribution.
Adversarial Machine Learning at Scale
Adversarial examples are malicious inputs designed to fool machine learning models.
Deep Residual Learning for Image Recognition
tensorflow/models
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CVPR 2016
Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.
Ranked #1 on
Image Classification
on cifar100
