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Oct 14, 2019
By zyc
Computer Vision

NeurVPS: Neural Vanishing Point Scanning via Conic Convolution

We present a simple yet effective end-to-end trainable deep network with geometry-inspired convolutional operators for detecting vanishing points in …
Oct 14, 2019
Computer Vision
Computation and Language
Machine Learning

Dynamic Attention Networks for Task Oriented Grounding

In order to successfully perform tasks specified by natural language instructions, an artificial agent operating in a visual world needs to map words…
Oct 14, 2019
By abuluc
Distributed
Parallel
and Cluster Computing
Machine Learning
Performance

A High-Throughput Solver for Marginalized Graph Kernels on GPU

We present the design of a solver for the efficient and high-throughput computation of the marginalized graph kernel on General Purpose GPUs. The gra…
Oct 14, 2019
Image and Video Processing
Computer Vision
Machine Learning

Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OC…

We propose developing and validating a three-dimensional (3D) deep learning system using the entire unprocessed OCT optic nerve volumes to distinguis…
Oct 14, 2019
By fuyuan
Software Engineering
Machine Learning

DeepSearch: Simple and Effective Blackbox Fuzzing of Deep Neural Ne…

Although deep neural networks have been successful in image classification, they are prone to adversarial attacks. To generate misclassified inputs, …
Oct 14, 2019
Computation and Language
Machine Learning

Training Compact Models for Low Resource Entity Tagging using Pre-t…

Training models on low-resource named entity recognition tasks has been shown to be a challenge, especially in industrial applications where deployin…
Oct 14, 2019
By eczhu
Computer Vision

Distribution-Aware Coordinate Representation for Human Pose Estimation

While being the de facto standard coordinate representation in human pose estimation, heatmap is never systematically investigated in the literature,…
Oct 14, 2019
Cryptography and Security
Artificial Intelligence

Using AI/ML to gain situational understanding from passive network …

The data available in the network traffic fromany Government building contains a significant amount ofinformation. An analysis of the traffic can yie…
Oct 14, 2019
Computer Vision
Cryptography and Security
Machine Learning

Real-world attack on MTCNN face detection system

Recent studies proved that deep learning approaches achieve remarkable results on face detection task. On the other hand, the advances gave rise to a…
Oct 14, 2019
Computer Vision

Unsupervised Multi-stream Highlight detection for the Game "Honor of …

With the increasing popularity of E-sport live, Highlight Flashback has been a critical functionality of live platforms, which aggregates the overall…
Oct 14, 2019
Computer Vision
Multimedia

KonIQ-10k: An ecologically valid database for deep learning of blind …

Deep learning methods for image quality assessment (IQA) are limited due to the small size of existing datasets. Extensive datasets require substanti…
Oct 14, 2019
By pyw
Computer Vision

Mask-Guided Attention Network for Occluded Pedestrian Detection

Pedestrian detection relying on deep convolution neural networks has made significant progress. Though promising results have been achieved on standa…
Oct 14, 2019
Distributed
Parallel
and Cluster Computing
Machine Learning

DCDB Wintermute: Enabling Online and Holistic Operational Data Analyt…

The complexity of today's HPC systems increases as we move closer to the exascale goal, raising concerns about their sustainability. In an effort to …
Oct 14, 2019
By llange
Computation and Language
Machine Learning

Feature-Dependent Confusion Matrices for Low-Resource NER Labeling wi…

In low-resource settings, the performance of supervised labeling models can be improved with automatically annotated or distantly supervised data, wh…
Oct 14, 2019
Computer Vision

Facial Behavior Analysis using 4D Curvature Statistics for Presentati…

The uniqueness, complexity, and diversity of facial shapes and expressions led to success of facial biometric systems. Regardless of the accuracy of …
Oct 14, 2019
Computation and Language
Artificial Intelligence
Machine Learning

STANCY: Stance Classification Based on Consistency Cues

Controversial claims are abundant in online media and discussion forums. A better understanding of such claims requires analyzing them from different…
Oct 14, 2019
Computer Vision
Image and Video Processing

Encoder-Decoder based CNN and Fully Connected CRFs for Remote Sensed …

With the advancement of remote-sensed imaging large volumes of very high resolution land cover images can now be obtained. Automation of object recog…
Oct 14, 2019
Computer Vision

Sketch-Specific Data Augmentation for Freehand Sketch Recognition

Sketch recognition remains a significant challenge due to the limited training data and the substantial intra-class variance of freehand sketches for…
Oct 14, 2019
By l.bing
Computation and Language
Machine Learning

Improving Question Generation With to the Point Context

Question generation (QG) is the task of generating a question from a reference sentence and a specified answer within the sentence. A major challenge…
Oct 14, 2019
Computation and Language
Machine Learning

We have shown a method for quantizing BERT GEMM operations to 8bit for a variety of NLP tasks with minimum loss in accuracy, and hope that the software developers community can use our quantization method to compress BERT and implement efficient BER…

Q8BERT: Quantized 8Bit BERT

Recently, pre-trained Transformer based language models such as BERT and GPT, have shown great improvement in many Natural Language Processing (NLP) …
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