A Convolutional Attention Network for Extreme Summarization of - PowerPoint PPT Presentation

Apr 08, 2023 •550 likes •913 views

A Convolutional Attention Network for Extreme Summarization of Source Code ATTENTION MECHANISM Attention: Withdrawal from some things in order to deal e ff ectively with others ~William James LIBGDX Cross-platform game and

A Convolutional Attention Network   for Extreme Summarization of Source Code
ATTENTION MECHANISM ➤ “ Attention: Withdrawal from some things in order to deal e ff ectively with others” ~William James
LIBGDX ➤ Cross-platform game and visualization development framework ➤ Write code once and use it in multiple platforms ➤ As low level as you want
GHTORRENT PROJECT ➤ Monitors Github event time lines ➤ Gets the content and their dependencies ➤ Stores raw JSON to MONGODB ➤ Distributed
POS2VEC The "Pos2Vec" component is a Deep Belief Network that consists of 4 stacked autoencoders, that are trained layer by layer, unsupervised
SPEARMINT Spearmint is a package to perform Bayesian optimization
➤ Sample weight vectors with the first probability
THANK YOU ➤ Sources: ➤ Lectures of Andrew NG ➤ Lectures of Geoffry Hinton Neural Machine Translation by Jointly Learning to Align and Translate

Recommend

Convolutional Kuan-Ting Lai 2020/3/31 Neural Network Convolutional Neural Networks (CNN)

Convolutional Kuan-Ting Lai 2020/3/31 Neural Network Convolutional Neural Networks (CNN) A.k.a. CNN or ConvNet Adit Deshpande, A Beginner's Guide To Understanding Convolutional Neural Networks. Digital Images Input array: an images

1.42k views • 72 slides

Convolutional Spatial Attention Model for Reading Comprehension with Multiple- Choice Questions Z

Convolutional Spatial Attention Model for Reading Comprehension with Multiple- Choice Questions Z HIPENG C HEN , Y IMING C UI * , W ENTAO M A , S HIJIN W ANG , G UOPING H U J OINT L ABORATORY OF HIT AND I FLYTEK R ESEARCH ( HFL ), B EIJING , C

935 views • 28 slides

ON TEGRA X1 ALAN WANG, NVIDIA Convolutional Neural Network optimization target Result

DIRECT CONVOLUTION FOR DEEP NEURAL NETWORK CLASSIFICATION ON TEGRA X1 ALAN WANG, NVIDIA Convolutional Neural Network optimization target Result Convolutional Fully Connected Input layer layer Convolutional Layer An example: A E

621 views • 18 slides

Convolutional Neural Nets 4-25-16 Reading Quiz Convolutional neural networks are most commonly

Convolutional Neural Nets 4-25-16 Reading Quiz Convolutional neural networks are most commonly used for what sort of task? a) Recognizing images b) Transcribing speech c) Translating documents d) Playing games Neural network review

431 views • 13 slides

Outline Convolutional Neural Network Architectures for Matching Natural Language Sentences.

Outline Hu, NIPS14 Irsoy, NIPS14 Outline Convolutional Neural Network Architectures for Matching Natural Language Sentences. NIPS14 Convolutional Sentence Model Convolutional Matching Models Experiments Deep Recursive Neural

779 views • 35 slides

Neural Network Basics Part II Content Image-to-image Why fully convolutional?

Neural Network Basics Part II Content Image-to-image Why fully convolutional? Fully Convolutional Networks (FCN) Up-sampling Network architecture Recurrent Neural Networks Sequence data and representation

625 views • 45 slides

R RITSUMEIKAN Introduction 1 Methodology Content 2 Experiments 3 Conclusion 4

ICIP 2019 Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver A dual attention dilated residual network for liver lesion classification and localization on CT images Lesions Xiao Chen,

779 views • 19 slides

Convolutional Neural Networks Basics Praveen Krishnan Overview Paradigm Shift Simple

Convolutional Neural Networks Basics Praveen Krishnan Overview Paradigm Shift Simple Network Convolutional Network Layers Case Study1: Alex Net Training Generalization Visualizations Transfer Learning Case

1.02k views • 53 slides

The Extreme Energy Event network Status and Perspectives Ivan Gnesi for the EEE Collaboration

The Extreme Energy Event network Status and Perspectives Ivan Gnesi for the EEE Collaboration ICRC 2017 Ivan Gnesi The Extreme Energy Event network Introduction EEE is an extended and inhomogeneous array for the search of Long Distance

456 views • 22 slides

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting LSTM

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting LSTM : VALSE 2016/03/23 Content Quick Review of Recurrent Neural Network

738 views • 27 slides

U-Finger Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting

U-Finger Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting Ramakrishna Prabhu, Xiaojing Yu, Zhangyang Wang, Ding Liu, Anxiao (Andrew) Jiang Why Deep Neural Network ? Fingerprint restoration and

321 views • 20 slides

S 3 D: S ingle S hot multi- S pan D etector via Fully 3D Convolutional Network Da Zhang 1 ,

S 3 D: S ingle S hot multi- S pan D etector via Fully 3D Convolutional Network Da Zhang 1 , Xiyang Dai 2 , Xin Wang 1 , and Yuan-Fang Wang 1 dazhang@cs.ucsb.edu 1 UC Santa Barbara & 2 University of Maryland Task: Temporal Activity Detection

391 views • 21 slides

CS4501: Introduction to Computer Vision Deeper Convolutional Neural Network Architectures Last

CS4501: Introduction to Computer Vision Deeper Convolutional Neural Network Architectures Last Class Neural Networks multilayer perceptron model (MLP) Backpropagation Convolutional Neural Networks Todays Class More on

772 views • 41 slides

Mat MattNet tNet: : Modu Modular Atten lar Attention tion Network for Referring Network for

March 2020 Mat MattNet tNet: : Modu Modular Atten lar Attention tion Network for Referring Network for Referring Expres Expression Comp sion Comprehe rehension nsion Tong Gao Background Referring expressions are natural language

433 views • 26 slides

Adaptive Distributed Convolutional Neural Network Inference at the Network Edge with ADCNN 17

Adaptive Distributed Convolutional Neural Network Inference at the Network Edge with ADCNN 17 August 2020 ICPP 2020 Sai Qian Zhang , Jieyu Lin, Qi Zhang Executing DNN Inference Tasks for End Users Option 2: cloud only Option 1: edge only

579 views • 17 slides

Dependency-based Convolutional Neural Networks for Sentence Embedding What is Hawaii

Dependency-based Convolutional Neural Networks for Sentence Embedding What is Hawaii s state flower ? ROOT Mingbo Ma Liang Huang Bing Xiang Bowen Zhou CUNY IBM T. J. Watson ACL 2015 Beijing Convolutional Neural Network

742 views • 50 slides

A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette

A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette Phil Blunsom Department of Computer Science, Oxford University Overview of Model Represent sentences by extracting more abstract features Input:

195 views • 16 slides

2014: Extreme territories 2 2015: Extreme territories 3 2016: Extreme territories 4 2018:

Annual research practicum 2013: Extreme territories 1 2014: Extreme territories 2 2015: Extreme territories 3 2016: Extreme territories 4 2018: Energetics of urbanization 2019: Agro-industrial transformations the city Rem

413 views • 37 slides

Dont Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for

Dont Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization Shashi Narayan Shay B. Cohen Mirella Lapata Institute for Language, Cognition and

626 views • 38 slides

Neural Network Part 3: Convolutional Neural Networks CS 760@UW-Madison Goals for the lecture

Neural Network Part 3: Convolutional Neural Networks CS 760@UW-Madison Goals for the lecture you should understand the following concepts convolutional neural networks (CNN) convolution and its advantage pooling and its advantage 2

750 views • 50 slides

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation EMNLP19 Deepanway Ghosal, Navonil Majumder, Soujanya Poria , Niyati Chhaya and Alexander Gelbukh Singapore University of Technology and Design, Singapore

995 views • 21 slides

Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinsons

Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinsons Disease asquez-Correa 1 , 2 Juan Camilo V Juan Rafael Orozco-Arroyave 1 , 2 , Elmar N oth 2 1 GITA research group, University of Antioquia UdeA. 2

621 views • 32 slides

DRC Hotspot Prediction at Sub-10nm Process Nodes Using Customized Convolutional Network Rongjian

DRC Hotspot Prediction at Sub-10nm Process Nodes Using Customized Convolutional Network Rongjian Liang 1 , Hua Xiang 2 , Diwesh Pandey 2 , Lakshmi Reddy 2 , Shyam Ramji 2 , Gi-Joon Nam 2 , Jiang Hu 1 1 Department of Electrical & Computer

619 views • 32 slides

Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition

Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition Junfu Pu, Wengang Zhou, Houqiang Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, EEIS

385 views • 19 slides