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Oct 27, 2020
Machine Learning
Robotics

COG: Connecting New Skills to Past Experience with Offline Reinforcem…

Reinforcement learning has been applied to a wide variety of robotics problems, but most of such applications involve collecting data from scratch fo…
Oct 27, 2020
Machine Learning

A Bayesian Perspective on Training Speed and Model Selection

We take a Bayesian perspective to illustrate a connection between training speed and the marginal likelihood in linear models. This provides two majo…
Oct 27, 2020
Machine Learning

Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinfo…

We identify an implicit under-parameterization phenomenon in value-based deep RL methods that use bootstrapping: when value functions, approximated u…
Oct 27, 2020
Machine Learning
Artificial Intelligence
Robotics

Conservative Safety Critics for Exploration

Safe exploration presents a major challenge in reinforcement learning (RL): when active data collection requires deploying partially trained policies…
Oct 27, 2020
Machine Learning
Artificial Intelligence

$γ$-Models: Generative Temporal Difference Learning for Infinite-Ho…

We introduce the $\gamma$-model, a predictive model of environment dynamics with an infinite probabilistic horizon. Replacing standard single-step mo…
Oct 27, 2020
Machine Learning

Are wider nets better given the same number of parameters?

Empirical studies demonstrate that the performance of neural networks improves with increasing number of parameters. In most of these studies, the nu…
Oct 27, 2020
Machine Learning
Applications

Examining Deep Learning Models with Multiple Data Sources for COVID-1…

The COVID-19 pandemic represents the most significant public health disaster since the 1918 influenza pandemic. During pandemics such as COVID-19, ti…
Oct 27, 2020
Machine Learning

One Solution is Not All You Need: Few-Shot Extrapolation via Structur…

While reinforcement learning algorithms can learn effective policies for complex tasks, these policies are often brittle to even minor task variation…
Oct 27, 2020
Computation and Language
Machine Learning

Fast Interleaved Bidirectional Sequence Generation

Independence assumptions during sequence generation can speed up inference, but parallel generation of highly inter-dependent tokens comes at a cost …
Oct 27, 2020
Artificial Intelligence
Computer Vision

Artificial intelligence based writer identification generates new e…

The Dead Sea Scrolls are tangible evidence of the Bible's ancient scribal culture. Palaeography - the study of ancient handwriting - can provide acce…
Oct 27, 2020
Computation and Language

Evaluating Gender Bias in Speech Translation

The scientific community is more and more aware of the necessity to embrace pluralism and consistently represent major and minor social groups. In th…
Oct 27, 2020
Machine Learning
Computer Vision
Image and Video Processing
Signal Processing

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-moda…

Computational image reconstruction algorithms generally produce a single image without any measure of uncertainty or confidence. Regularized Maximum …
Oct 27, 2020
Statistics Theory
Machine Learning

On Principal Component Regression in a High-Dimensional Error-in-Va…

We analyze the classical method of Principal Component Regression (PCR) in the high-dimensional error-in-variables setting. Here, the observed covari…
Oct 27, 2020
Computation and Language
Artificial Intelligence
Computers and Society

Discovering and Interpreting Conceptual Biases in Online Communities

Language carries implicit human biases, functioning both as a reflection and a perpetuation of stereotypes that people carry with them. Recently, ML-…
Oct 27, 2020
Machine Learning
Robotics

Can Reinforcement Learning for Continuous Control Generalize Across …

Reinforcement learning (RL) algorithms should learn as much as possible about the environment but not the properties of the physics engines that gene…
Oct 27, 2020
Computer Vision

Robust Skeletonization for Plant Root Structure Reconstruction from M…

Structural reconstruction of plant roots from MRI is challenging, because of low resolution and low signal-to-noise ratio of the 3D measurements whic…
Oct 27, 2020
Computer Vision

Structured Visual Search via Composition-aware Learning

This paper studies visual search using structured queries. The structure is in the form of a 2D composition that encodes the position and the categor…
Oct 27, 2020
Computer Vision

Improving Word Recognition using Multiple Hypotheses and Deep Embeddi…

We propose a novel scheme for improving the word recognition accuracy using word image embeddings. We use a trained text recognizer, which can predic…
Oct 27, 2020
Machine Learning
Artificial Intelligence
Computer Vision

On the Transfer of Disentangled Representations in Realistic Settings

Learning meaningful representations that disentangle the underlying structure of the data generating process is considered to be of key importance in…
Oct 27, 2020
Robotics

Transporter Networks: Rearranging the Visual World for Robotic Mani…

Robotic manipulation can be formulated as inducing a sequence of spatial displacements: where the space being moved can encompass an object, part of …
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