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07/27/2022
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations
Evolution Strategy (ES) algorithms have shown promising results in train...
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05/30/2022
Multi-Game Decision Transformers
A longstanding goal of the field of AI is a strategy for compiling diver...
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09/27/2021
Compressive Visual Representations
Learning effective visual representations that generalize well without h...
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07/24/2020
Predictive Information Accelerates Learning in RL
The Predictive Information is the mutual information between the past an...
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12/10/2019
Measuring the Reliability of Reinforcement Learning Algorithms
Lack of reliability is a well-known issue for reinforcement learning (RL...
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02/20/2019
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following
Reinforcement learning is a promising framework for solving control prob...
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06/25/2018
Tracking Emerges by Colorizing Videos
We use large amounts of unlabeled video to learn models for visual track...
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07/18/2017
The Devil is in the Decoder
Many machine vision applications require predictions for every pixel of ...
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05/19/2017
PixColor: Pixel Recursive Colorization
We propose a novel approach to automatically produce multiple colorized ...
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03/30/2017
Semantic Instance Segmentation via Deep Metric Learning
We propose a new method for semantic instance segmentation, by first com...
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12/01/2016
Improved Image Captioning via Policy Gradient optimization of SPIDEr
Current image captioning methods are usually trained via (penalized) max...
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11/30/2016
Speed/accuracy trade-offs for modern convolutional object detectors
The goal of this paper is to serve as a guide for selecting a detection ...
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11/17/2014
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Models based on deep convolutional networks have dominated recent image ...
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09/16/2014
Compute Less to Get More: Using ORC to Improve Sparse Filtering
Sparse Filtering is a popular feature learning algorithm for image class...
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07/18/2014
LSDA: Large Scale Detection Through Adaptation
A major challenge in scaling object detection is the difficulty of obtai...
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06/20/2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe provides multimedia scientists and practitioners with a clean and ...
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05/28/2010