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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-…
Aug 15, 2019
Machine Learning

Combining Prediction Intervals on Multi-Source Non-Disclosed Regressi…

Conformal Prediction is a framework that produces prediction intervals based on the output from a machine learning algorithm. In this paper we explor…
Aug 15, 2019
By strnad
Physics and Society
Machine Learning

Deep reinforcement learning in World-Earth system models to discover …

Increasingly complex, non-linear World-Earth system models are used for describing the dynamics of the biophysical Earth system and the socio-economi…
Aug 15, 2019
By ikemoto
Robotics
Machine Learning

Learning Interactive Behaviors for Musculoskeletal Robots Using Bayes…

Musculoskeletal robots that are based on pneumatic actuation have a variety of properties, such as compliance and back-drivability, that render them …
Aug 15, 2019
By yiyu
Artificial Intelligence
Sound
Audio and Speech Processing

Conditional LSTM-GAN for Melody Generation from Lyrics

Melody generation from lyrics has been a challenging research issue in the field of artificial intelligence and music, which enables to learn and dis…
Aug 15, 2019
By kyi
Computer Vision

Beyond Cartesian Representations for Local Descriptors

The dominant approach for learning local patch descriptors relies on small image regions whose scale must be properly estimated a priori by a keypoin…
Aug 15, 2019
Robotics
Machine Learning

Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts …

Deep reinforcement learning has proven to be a great success in allowing agents to learn complex tasks. However, its application to actual robots can…
Aug 15, 2019
Computer Vision
Machine Learning

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Ne…

Parsing sketches via semantic segmentation is attractive but challenging, because (i) free-hand drawings are abstract with large variances in depicti…
Aug 14, 2019
Computer Vision

Dual Adversarial Inference for Text-to-Image Synthesis

Synthesizing images from a given text description involves engaging two types of information: the content, which includes information explicitly desc…
Aug 14, 2019
Computer Vision

AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations

We propose AutoCorrect, a method to automatically learn object-annotation alignments from a dataset with annotations affected by geometric noise. The…
Aug 14, 2019
By t.xiang
Computer Vision

Few-Shot Learning with Global Class Representations

In this paper, we propose to tackle the challenging few-shot learning (FSL) problem by learning global class representations using both base and nove…
Aug 14, 2019
Robotics
Artificial Intelligence
Machine Learning
Systems and Control

Continuous Control for High-Dimensional State Spaces: An Interactive …

Deep Reinforcement Learning (DRL) has become a powerful methodology to solve complex decision-making problems. However, DRL has several limitations w…
Aug 14, 2019
Computation and Language

The lexical and grammatical sources of neg-raising inferences

We investigate neg(ation)-raising inferences, wherein negation on a predicate can be interpreted as though in that predicate's subordinate clause. To…
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