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12/10/2020
Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization
Deep neural networks have recently led to promising results for the task...
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12/10/2020
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization
This paper introduces an ensemble of discriminators that improves the ac...
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12/10/2020
Learning Multiple Sound Source 2D Localization
In this paper, we propose novel deep learning based algorithms for multi...
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10/09/2020
Q-learning with Language Model for Edit-based Unsupervised Summarization
Unsupervised methods are promising for abstractive text summarization in...
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09/24/2020
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
We show that Reinforcement Learning (RL) methods for solving Text-Based ...
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02/19/2020
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos
Image-based sports analytics enable automatic retrieval of key events in...
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03/23/2019
Spatially-weighted Anomaly Detection with Regression Model
Visual anomaly detection is common in several applications including med...
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10/05/2018
Spatially-weighted Anomaly Detection
Many types of anomaly detection methods have been proposed recently, and...
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10/02/2018
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation
Natural imitation in humans usually consists of mimicking visual demonst...
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09/21/2018
Constrained Exploration and Recovery from Experience Shaping
We consider the problem of reinforcement learning under safety requireme...
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08/07/2018
Deep Learning with Predictive Control for Human Motion Tracking
We propose to combine model predictive control with deep learning for th...
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07/18/2018
Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion
Most real-world systems are complex and hard to model accurately. Machin...
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06/22/2018
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention
This paper is a contribution towards interpretability of the deep learni...
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06/03/2018
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning
This paper describes a framework called MaestROB. It is designed to make...
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06/02/2018
Internal Model from Observations for Reward Shaping
Reinforcement learning methods require careful design involving a reward...
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09/22/2017
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
While deep reinforcement learning techniques have recently produced cons...
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08/14/2017
Deep Reinforcement Learning for High Precision Assembly Tasks
High precision assembly of mechanical parts requires accuracy exceeding ...
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07/04/2017