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Nov 12, 2019
Computer Vision
Machine Learning
Robotics

Experience-Embedded Visual Foresight

Visual foresight gives an agent a window into the future, which it can use to anticipate events before they happen and plan strategic behavior. Altho…
Nov 12, 2019
Computer Vision
Machine Learning
Robotics

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

We present Kaolin, a PyTorch library aiming to accelerate 3D deep learning research. Kaolin provides efficient implementations of differentiable 3D m…
Nov 12, 2019
Machine Learning

Tight Sample Complexity of Learning One-hidden-layer Convolutional …

We study the sample complexity of learning one-hidden-layer convolutional neural networks (CNNs) with non-overlapping filters. We propose a novel alg…
Nov 12, 2019
Optimization and Control
Machine Learning

A Distributed Online Convex Optimization Algorithm with Improved Dyna…

In this paper, we consider the problem of distributed online convex optimization, where a network of local agents aim to jointly optimize a convex fu…
Nov 12, 2019
Optimization and Control
Information Theory
Machine Learning

Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient …

Nonsmooth Riemannian optimization is a still under explored subfield of manifold optimization. In this paper, we study optimization problems over the…
Nov 12, 2019
Computer Vision
Machine Learning

Trainable Spectrally Initializable Matrix Transformations in Convol…

In this work, we investigate the application of trainable and spectrally initializable matrix transformations on the feature maps produced by convolu…
Nov 12, 2019
Computation and Language
Machine Learning

Learning Sparse Sharing Architectures for Multiple Tasks

Most existing deep multi-task learning models are based on parameter sharing, such as hard sharing, hierarchical sharing, and soft sharing. How choos…
Nov 12, 2019
Information Theory
Disordered Systems and Neural Networks
Machine Learning
Probability

0-1 phase transitions in sparse spiked matrix estimation

We consider statistical models of estimation of a rank-one matrix (the spike) corrupted by an additive gaussian noise matrix in the sparse limit. In …
Nov 12, 2019
Artificial Intelligence
Computation and Language
Machine Learning

EDUQA: Educational Domain Question Answering System using Conceptual …

Most of the existing question answering models can be largely compiled into two categories: i) open domain question answering models that answer gene…
Nov 12, 2019
Image and Video Processing
Computer Vision
Machine Learning

Automatic Online Quality Control of Synthetic CTs

Accurate MR-to-CT synthesis is a requirement for MR-only workflows in radiotherapy (RT) treatment planning. In recent years, deep learning-based appr…
Nov 12, 2019
Computer Vision

Multi-hop Convolutions on Weighted Graphs

Graph Convolutional Networks (GCNs) have made significant advances in semi-supervised learning, especially for classification tasks. However, existin…
Nov 12, 2019
Machine Learning

word2ket: Space-efficient Word Embeddings inspired by Quantum Entan…

Deep learning natural language processing models often use vector word embeddings, such as word2vec or GloVe, to represent words. A discrete sequence…
Nov 12, 2019
Machine Learning

Purifying Interaction Effects with the Functional ANOVA: An Efficient…

Recent methods for training generalized additive models (GAMs) with pairwise interactions achieve state-of-the-art accuracy on a variety of datasets.…
Nov 12, 2019
Sound
Information Retrieval
Machine Learning
Audio and Speech Processing

Using musical relationships between chord labels in automatic chord …

Recent researches on Automatic Chord Extraction (ACE) have focused on the improvement of models based on machine learning. However, most models still…
Nov 12, 2019
Machine Learning
Sound
Audio and Speech Processing

Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale …

This paper studies the prediction of chord progressions for jazz music by relying on machine learning models. The motivation of our study comes from …
Nov 12, 2019
Machine Learning
Computer Vision
Robotics

Deep Variational Semi-Supervised Novelty Detection

In anomaly detection (AD), one seeks to identify whether a test sample is abnormal, given a data set of normal samples. A recent and promising approa…
Nov 12, 2019
Machine Learning
Signal Processing

Robust and Fast Automatic Modulation Classification with CNN under …

Automatic modulation classification (AMC) has been studied for more than a quarter of a century; however, it has been difficult to design a classifie…
Nov 12, 2019
Machine Learning
Computer Vision
Image and Video Processing

Deep-Aligned Convolutional Neural Network for Skeleton-based Action …

Convolutional neural networks (CNNs) are deep learning frameworks which are well-known for their notable performance in classification tasks. Hence, …
Nov 12, 2019
Machine Learning
Computer Vision

Exploiting Clinically Available Delineations for CNN-based Segmentati…

Convolutional neural networks (CNNs) have been widely and successfully used for medical image segmentation. However, CNNs are typically considered to…
Nov 12, 2019
Audio and Speech Processing
Computation and Language
Sound

'Warriors of the Word' -- Deciphering Lyrical Topics in Music and The…

We look into the connection between the musical and lyrical content of metal music by combining automated extraction of high-level audio features and…
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