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Aug 16, 2019
Machine Learning

Effect of Activation Functions on the Training of Overparametrized …

It is well-known that overparametrized neural networks trained using gradient-based methods quickly achieve small training error with appropriate hyp…
Aug 16, 2019
By liuke
Artificial Intelligence

Exploring Properties of Icosoku by Constraint Satisfaction Approach

Icosoku is a challenging and interesting puzzle that exhibits highly symmetrical and combinatorial nature. In this paper, we pose the questions deriv…
Aug 16, 2019
By sunlf
Machine Learning
Distributed
Parallel
and Cluster Computing

Federated Learning with Additional Mechanisms on Clients to Reduce …

Federated learning (FL) enables on-device training over distributed networks consisting of a massive amount of modern smart devices, such as smartpho…
Aug 16, 2019
Image and Video Processing
Computer Vision

Multi-step Cascaded Networks for Brain Tumor Segmentation

Automatic brain tumor segmentation method plays an extremely important role in the whole process of brain tumor diagnosis and treatment. In this pape…
Aug 16, 2019
By avisek
Computer Vision

The Angel is in the Priors: Improving GAN based Image and Sequence …

Contemporary deep learning based inpainting algorithms are mainly based on a hybrid dual stage training policy of supervised reconstruction loss foll…
Aug 16, 2019
Computer Vision

Learning Deep Representations by Mutual Information for Person Re-i…

Most existing person re-identification (ReID) methods have good feature representations to distinguish pedestrians with deep convolutional neural net…
Aug 16, 2019
Computation and Language

Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learn…

Learning with minimal data is one of the key challenges in the development of practical, production-ready goal-oriented dialogue systems. In a real-w…
Aug 16, 2019
Computer Vision
Machine Learning

Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing…

Line art colorization is expensive and challenging to automate. A GAN approach is proposed, called Tag2Pix, of line art colorization which takes as i…
Aug 16, 2019
Computer Vision
Machine Learning

A Cooperative Autoencoder for Population-BasedRegularization of CNN …

Spatial transformations are enablers in a variety of medical image analysis applications that entail aligning images to a common coordinate systems. …
Aug 16, 2019
Machine Learning
Computational Physics

A deep-learning-based surrogate model for data assimilation in dynami…

A deep-learning-based surrogate model is developed and applied for predicting dynamic subsurface flow in channelized geological models. The surrogate…
Aug 16, 2019
Computer Vision
Image and Video Processing

Structured Coupled Generative Adversarial Networks for Unsupervised …

Inspired by the success of adversarial learning, we propose a new end-to-end unsupervised deep learning framework for monocular depth estimation cons…
Aug 16, 2019
By kylemin
Computer Vision

TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for…

TASED-Net is a 3D fully-convolutional network architecture for video saliency detection. It consists of two building blocks: first, the encoder netwo…
Aug 15, 2019
By yolo
Machine Learning
Artificial Intelligence

PHYRE: A New Benchmark for Physical Reasoning

Understanding and reasoning about physics is an important ability of intelligent agents. We develop the PHYRE benchmark for physical reasoning that c…
Aug 15, 2019
By yoavl
Computation and Language
Machine Learning

SenseBERT: Driving Some Sense into BERT

Self-supervision techniques have allowed neural language models to advance the frontier in Natural Language Understanding. However, existing self-sup…
Aug 15, 2019
Machine Learning

A Bayesian Choice Model for Eliminating Feedback Loops

Self-reinforcing feedback loops in personalization systems are typically caused by users choosing from a limited set of alternatives presented system…
Aug 15, 2019
By pk398
Artificial Intelligence

Tracing Player Knowledge in a Parallel Programming Educational Game

This paper focuses on "tracing player knowledge" in educational games. Specifically, given a set of concepts or skills required to master a game, the…
Aug 15, 2019
By lidong1
Computation and Language
Machine Learning

Visualizing and Understanding the Effectiveness of BERT

Language model pre-training, such as BERT, has achieved remarkable results in many NLP tasks. However, it is unclear why the pre-training-then-fine-t…
Aug 15, 2019
Image and Video Processing
Computer Vision

Towards multi-sequence MR image recovery from undersampled k-space da…

Undersampled MR image recovery has been widely studied for accelerated MR acquisition. However, it has been mostly studied under a single sequence sc…
Aug 15, 2019
Computer Vision
Machine Learning
Image and Video Processing

R3Det: Refined Single-Stage Detector with Feature Refinement for Ro…

Rotation detection is a challenging task due to the difficulties of locating the multi-angle objects and separating them accurately and quickly from …
Aug 15, 2019
Computer Vision

FastPose: Towards Real-time Pose Estimation and Tracking via Scale-…

Both accuracy and efficiency are significant for pose estimation and tracking in videos. State-of-the-art performance is dominated by two-stages top-…
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