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Feb 27, 2020
Computation and Language

Generating Followup Questions for Interpretable Multi-hop Question …

We propose a framework for answering open domain multi-hop questions in which partial information is read and used to generate followup questions, to…
Feb 27, 2020
Artificial Intelligence
Computer Vision
Machine Learning
Neural and Evolutionary Computation
Robotics

Hallucinative Topological Memory for Zero-Shot Visual Planning

In visual planning (VP), an agent learns to plan goal-directed behavior from observations of a dynamical system obtained offline, e.g., images obtain…
Feb 27, 2020
Machine Learning

A Distributional Framework for Data Valuation

Shapley value is a classic notion from game theory, historically used to quantify the contributions of individuals within groups, and more recently a…
Feb 27, 2020
Computation and Language

Few-shot Natural Language Generation for Task-Oriented Dialog

As a crucial component in task-oriented dialog systems, the Natural Language Generation (NLG) module converts a dialog act represented in a semantic …
Feb 27, 2020
Computation and Language

A Primer in BERTology: What we know about how BERT works

Transformer-based models are now widely used in NLP, but we still do not understand a lot about their inner workings. This paper describes what is kn…
Feb 27, 2020
Machine Learning

Estimating the Effects of Continuous-valued Interventions using Gen…

While much attention has been given to the problem of estimating the effect of discrete interventions from observational data, relatively little work…
Feb 27, 2020
Computer Vision
Machine Learning

Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC

We describe a learning-based system that estimates the camera position and orientation from a single input image relative to a known environment. The…
Feb 27, 2020
Machine Learning
Cryptography and Security
Data Structures and Algorithms
Statistics Theory
Methodology

PAPRIKA: Private Online False Discovery Rate Control

In hypothesis testing, a false discovery occurs when a hypothesis is incorrectly rejected due to noise in the sample. When adaptively testing multipl…
Feb 27, 2020
Computer Vision
Machine Learning

Semantically-Guided Representation Learning for Self-Supervised Mon…

Self-supervised learning is showing great promise for monocular depth estimation, using geometry as the only source of supervision. Depth networks ar…
Feb 27, 2020
Machine Learning

The Spectral Underpinning of word2vec

word2vec due to Mikolov \textit{et al.} (2013) is a word embedding method that is widely used in natural language processing. Despite its great succe…
Feb 27, 2020
Computer Vision
Image and Video Processing
Quantitative Methods

2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis …

Automated methods for breast cancer detection have focused on 2D mammography and have largely ignored 3D digital breast tomosynthesis (DBT), which is…
Feb 27, 2020
Machine Learning
Information Retrieval

Advances in Collaborative Filtering and Ranking

In this dissertation, we cover some recent advances in collaborative filtering and ranking. In chapter 1, we give a brief introduction of the history…
Feb 27, 2020
Machine Learning
Cryptography and Security

Heterogeneous Graph Neural Networks for Malicious Account Detection

We present, GEM, the first heterogeneous graph neural network approach for detecting malicious accounts at Alipay, one of the world's leading mobile …
Feb 27, 2020
Machine Learning
Distributed
Parallel
and Cluster Computing

An On-Device Federated Learning Approach for Cooperative Anomaly De…

Most edge AI focuses on prediction tasks on resource-limited edge devices, while the training is done at server machines, so retraining a model on th…
Feb 27, 2020
Machine Learning
Artificial Intelligence

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated …

Exploration in sparse reward environments remains one of the key challenges of model-free reinforcement learning. Instead of solely relying on extrin…
Feb 27, 2020
Machine Learning
Neural and Evolutionary Computation

Deep Randomized Neural Networks

Randomized Neural Networks explore the behavior of neural systems where the majority of connections are fixed, either in a stochastic or a determinis…
Feb 27, 2020
Machine Learning
Information Retrieval

CATA++: A Collaborative Dual Attentive Autoencoder Method for Recom…

Recommender systems today have become an essential component of any commercial website. Collaborative filtering approaches, and Matrix Factorization …
Feb 27, 2020
Image and Video Processing
Computer Vision

Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contou…

Providing closed and well-connected boundaries of coronary artery is essential to assist cardiologists in the diagnosis of coronary artery disease (C…
Feb 27, 2020
Human-Computer Interaction
Artificial Intelligence
Computer Vision

Opportunities of a Machine Learning-based Decision Support System for…

Rehabilitation assessment is critical to determine an adequate intervention for a patient. However, the current practices of assessment mainly rely o…
Feb 27, 2020
Computer Vision

Blurry Video Frame Interpolation

Existing works reduce motion blur and up-convert frame rate through two separate ways, including frame deblurring and frame interpolation. However, f…
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