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Aug 19, 2019
By lz
Computer Vision
Machine Learning

Dynamic Graph Message Passing Networks

Modelling long-range dependencies is critical for complex scene understanding tasks such as semantic segmentation and object detection. Although CNNs…
Aug 19, 2019
Computation and Language

Encoder-Agnostic Adaptation for Conditional Language Generation

Large pretrained language models have changed the way researchers approach discriminative natural language understanding tasks, leading to the domina…
Aug 19, 2019
Image and Video Processing
Computer Vision
Machine Learning

Deep Active Lesion Segmentation

Lesion segmentation is an important problem in computer-assisted diagnosis that remains challenging due to the prevalence of low contrast, irregular …
Aug 19, 2019
By straka
Computation and Language

UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization …

We present our contribution to the SIGMORPHON 2019 Shared Task: Crosslinguality and Context in Morphology, Task 2: contextual morphological analysis …
Aug 19, 2019
Neural and Evolutionary Computation

Architecture Search by Estimation of Network Structure Distributions

The influence of deep learning is continuously expanding across different domains, and its new applications are ubiquitous. The question of neural ne…
Aug 19, 2019
By h.shin
Artificial Intelligence
Machine Learning
Systems and Control

Computational Flight Control: A Domain-Knowledge-Aided Deep Reinfor…

This papers aims to examine the potential of using the emerging deep reinforcement learning techniques in flight control. Instead of learning from sc…
Aug 19, 2019
Computer Vision

SDIT: Scalable and Diverse Cross-domain Image Translation

Recently, image-to-image translation research has witnessed remarkable progress. Although current approaches successfully generate diverse outputs or…
Aug 19, 2019
By truongp
Computer Vision

GLAMpoints: Greedily Learned Accurate Match points

We introduce a novel CNN-based feature point detector - GLAMpoints - learned in a semi-supervised manner. Our detector extracts repeatable, stable in…
Aug 19, 2019
Computation and Language

Fast End-to-End Wikification

Wikification of large corpora is beneficial for various NLP applications. Existing methods focus on quality performance rather than run-time, and are…
Aug 19, 2019
Computation and Language
Machine Learning

We presented two neural architectures for nested named entities and a simple encoding algorithm to allow the modeling of multiple NE labels in an enhanced BILOU scheme. The LSTM-CRF modeling of NE multilabels is better suited for putatively less-nes…

Neural Architectures for Nested NER through Linearization

We propose two neural network architectures for nested named entity recognition (NER), a setting in which named entities may overlap and also be labe…
Aug 19, 2019
By zxye
Computation and Language

Align, Mask and Select: A Simple Method for Incorporating Commonsense…

Neural language representation models such as Bidirectional Encoder Representations from Transformers (BERT) pre-trained on large-scale corpora can w…
Aug 19, 2019
Computer Vision

Adaptative Inference Cost With Convolutional Neural Mixture Models

Despite the outstanding performance of convolutional neural networks (CNNs) for many vision tasks, the required computational cost during inference i…
Aug 19, 2019
Computer Vision

Directionally Constrained Fully Convolutional Neural Network For Ai…

Point cloud classification plays an important role in a wide range of airborne light detection and ranging (LiDAR) applications, such as topographic …
Aug 19, 2019
Machine Learning

Quantum Expectation-Maximization Algorithm

Clustering algorithms are a cornerstone of machine learning applications. Recently, a quantum algorithm for clustering based on the k-means algorithm…
Aug 19, 2019
Computation and Language
Discrete Mathematics

Memory limitations are hidden in grammar

The ability to produce and understand an unlimited number of different sentences is a hallmark of human language. Linguists have sought to define the…
Aug 19, 2019
Computer Vision

SPA-GAN: Spatial Attention GAN for Image-to-Image Translation

Image-to-image translation is to learn a mapping between images from a source domain and images from a target domain. In this paper, we introduce the…
Aug 19, 2019
By ymzhou
Computation and Language

Question Answering based Clinical Text Structuring Using Pre-trained …

Clinical text structuring is a critical and fundamental task for clinical research. Traditional methods such as taskspecific end-to-end models and pi…
Aug 19, 2019
By szh19
Computation and Language
Machine Learning

Long and Diverse Text Generation with Planning-based Hierarchical V…

Existing neural methods for data-to-text generation are still struggling to produce long and diverse texts: they are insufficient to model input data…
Aug 19, 2019
Computer Vision

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequenc…

Generating semantic layout from scene graph is a crucial intermediate task connecting text to image. We present a conceptually simple, flexible and g…
Aug 19, 2019
Computer Vision
Machine Learning
Image and Video Processing

Adversarial Defense by Suppressing High-frequency Components

Recent works show that deep neural networks trained on image classification dataset bias towards textures. Those models are easily fooled by applying…
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