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Nov 11, 2019
Machine Learning
Computer Vision

Self-training with Noisy Student improves ImageNet classification

We present a simple self-training method that achieves 87.4% top-1 accuracy on ImageNet, which is 1.0% better than the state-of-the-art model that re…
Nov 11, 2019
Machine Learning

MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

Given a stream of graph edges from a dynamic graph, how can we assign anomaly scores to edges in an online manner, for the purpose of detecting unusu…
Nov 11, 2019
Machine Learning

Neural Contextual Bandits with Upper Confidence Bound-Based Explorati…

We study the stochastic contextual bandit problem, where the reward is generated from an unknown bounded function with additive noise. We propose the…
Nov 11, 2019
Computer Vision

360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume

Recently, end-to-end trainable deep neural networks have significantly improved stereo depth estimation for perspective images. However, 360{\deg} im…
Nov 11, 2019
Machine Learning
Computer Vision

Structural Pruning in Deep Neural Networks: A Small-World Approach

Deep Neural Networks (DNNs) are usually over-parameterized, causing excessive memory and interconnection cost on the hardware platform. Existing prun…
Nov 11, 2019
Machine Learning

Real-Time Reinforcement Learning

Markov Decision Processes (MDPs), the mathematical framework underlying most algorithms in Reinforcement Learning (RL), are often used in a way that …
Nov 11, 2019
Optimization and Control
Machine Learning

Bundle Method Sketching for Low Rank Semidefinite Programming

In this paper, we show that the bundle method can be applied to solve semidefinite programming problems with a low rank solution without ever constru…
Nov 11, 2019
Machine Learning
Information Theory
Optimization and Control
Statistics Theory

Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data

We study a noisy symmetric tensor completion problem of broad practical interest, namely, the reconstruction of a low-rank symmetric tensor from high…
Nov 11, 2019
Computer Vision

Streaming convolutional neural networks for end-to-end learning with …

Due to memory constraints on current hardware, most convolution neural networks (CNN) are trained on sub-megapixel images. For example, most popular …
Nov 11, 2019
Machine Learning
Cryptography and Security

GraphDefense: Towards Robust Graph Convolutional Networks

In this paper, we study the robustness of graph convolutional networks (GCNs). Despite the good performance of GCNs on graph semi-supervised learning…
Nov 11, 2019
Computation and Language
Information Retrieval
Machine Learning

Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction …

Novel contexts may often arise in complex querying scenarios such as in evidence-based medicine (EBM) involving biomedical literature, that may not e…
Nov 11, 2019
Computer Vision

Disentangle, align and fuse for multimodal and zero-shot image segm…

Magnetic resonance (MR) protocols rely on several sequences to properly assess pathology and organ status. Yet, despite advances in image analysis we…
Nov 11, 2019
Optimization and Control
Data Structures and Algorithms
Machine Learning

Revisiting the Approximate Carathéodory Problem via the Frank-Wolfe …

The approximate Carath\'eodory theorem states that given a polytope $\mathcal{P}$, each point in $\mathcal{P}$ can be approximated within $\epsilon$-…
Nov 11, 2019
Artificial Intelligence
Machine Learning

Driving Reinforcement Learning with Models

Over the years, Reinforcement Learning (RL) established itself as a convenient paradigm to learn optimal policies from data. However, most RL algorit…
Nov 11, 2019
Robotics
Human-Computer Interaction

TouchVR: a Wearable Haptic Interface for VR Aimed at Delivering Mul…

TouchVR is a novel wearable haptic interface which can deliver multimodal tactile stimuli on the palm by DeltaTouch haptic display and vibrotactile f…
Nov 11, 2019
Machine Learning

Simplifying Random Forests: On the Trade-off between Interpretability…

We analyze the trade-off between model complexity and accuracy for random forests by breaking the trees up into individual classification rules and s…
Nov 11, 2019
Machine Learning

All code and data can be accessed in this repository or the following directory.

A Biologically Plausible Benchmark for Contextual Bandit Algorithms i…

Precision oncology, the genetic sequencing of tumors to identify druggable targets, has emerged as the standard of care in the treatment of many canc…
Nov 11, 2019
Machine Learning
Systems and Control

Fault Detection and Identification using Bayesian Recurrent Neural …

In processing and manufacturing industries, there has been a large push to produce higher quality products and ensure maximum efficiency of processes…
Nov 11, 2019
Machine Learning

RAD: On-line Anomaly Detection for Highly Unreliable Data

Classification algorithms have been widely adopted to detect anomalies for various systems, e.g., IoT, cloud and face recognition, under the common a…
Nov 11, 2019
Computation and Language

Attending to Entities for Better Text Understanding

Recent progress in NLP witnessed the development of large-scale pre-trained language models (GPT, BERT, XLNet, etc.) based on Transformer (Vaswani et…
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