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Neural Information Processing

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Cover of 'Neural Information Processing'

Table of Contents

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    Book Overview
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    Chapter 1 GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features
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    Chapter 2 Joint Semantic Hashing Using Deep Supervised and Unsupervised Methods
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    Chapter 3 Label-Based Deep Semantic Hashing for Cross-Modal Retrieval
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    Chapter 4 HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation
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    Chapter 5 Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach
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    Chapter 6 SACIC: A Semantics-Aware Convolutional Image Captioner Using Multi-level Pervasive Attention
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    Chapter 7 One Analog Neuron Cannot Recognize Deterministic Context-Free Languages
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    Chapter 8 Tag-Based Semantic Features for Scene Image Classification
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    Chapter 9 Integrating TM Knowledge into NMT with Double Chain Graph
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    Chapter 10 Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure
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    Chapter 11 Visualizing Readable Instance Graphs of Ontology with Memo Graph
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    Chapter 12 Hippocampus Segmentation in MRI Using Side U-Net Model
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    Chapter 13 AutoML for DenseNet Compression
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    Chapter 14 Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit
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    Chapter 15 Homeostasis-Based CNN-to-SNN Conversion of Inception and Residual Architectures
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    Chapter 16 Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation
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    Chapter 17 Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression
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    Chapter 18 Watch and Ask: Video Question Generation
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    Chapter 19 Multi-perspective Denoising Reader for Multi-paragraph Reading Comprehension
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    Chapter 20 Models in the Wild: On Corruption Robustness of Neural NLP Systems
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    Chapter 21 Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization
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    Chapter 22 Target-Based Attention Model for Aspect-Level Sentiment Analysis
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    Chapter 23 Keyphrase Generation with Word Attention
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    Chapter 24 Dynamic Neural Language Models
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    Chapter 25 A Fast Convolutional Self-attention Based Speech Dereverberation Method for Robust Speech Recognition
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    Chapter 26 Option Attentive Capsule Network for Multi-choice Reading Comprehension
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    Chapter 27 Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning
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    Chapter 28 Paragraph-Level Hierarchical Neural Machine Translation
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    Chapter 29 Residual Connection-Based Multi-step Reasoning via Commonsense Knowledge for Multiple Choice Machine Reading Comprehension
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    Chapter 30 Zero-Shot Transfer Learning Based on Visual and Textual Resemblance
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    Chapter 31 Morphological Knowledge Guided Mongolian Constituent Parsing
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    Chapter 32 BERT Based Hierarchical Sequence Classification for Context-Aware Microblog Sentiment Analysis
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    Chapter 33 Topic Aware Context Modelling for Dialogue Response Generation
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    Chapter 34 A Deep Neural Framework for Contextual Affect Detection
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    Chapter 35 Improving Student Forum Responsiveness: Detecting Duplicate Questions in Educational Forums
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    Chapter 36 On Probability Calibration of Recurrent Text Recognition Network
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    Chapter 37 On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining
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    Chapter 38 Deep Hybrid Spatiotemporal Networks for Continuous Pain Intensity Estimation
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    Chapter 39 Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology
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    Chapter 40 Deep Point-Wise Prediction for Action Temporal Proposal
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    Chapter 41 Real-Time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine
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    Chapter 42 Deep Spatial-Temporal Field for Human Head Orientation Estimation
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    Chapter 43 Prediction-Coherent LSTM-Based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People
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    Chapter 44 Teacher-Student Learning and Post-processing for Robust BiLSTM Mask-Based Acoustic Beamforming
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    Chapter 45 Maxout into MDLSTM for Offline Arabic Handwriting Recognition
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    Chapter 46 Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization
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    Chapter 47 Distance Estimation for Quantum Prototypes Based Clustering
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    Chapter 48 Accelerating Bag-of-Words with SOM
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    Chapter 49 A Deep Clustering-Guide Learning for Unsupervised Person Re-identification
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    Chapter 50 Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection
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    Chapter 51 Unsupervised Pre-training of the Brain Connectivity Dynamic Using Residual D-Net
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    Chapter 52 Clustering Ensemble Selection with Determinantal Point Processes
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    Chapter 53 Generative Histogram-Based Model Using Unsupervised Learning
Attention for Chapter 20: Models in the Wild: On Corruption Robustness of Neural NLP Systems
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Chapter title
Models in the Wild: On Corruption Robustness of Neural NLP Systems
Chapter number 20
Book title
Neural Information Processing
Published by
Springer, Cham, December 2019
DOI 10.1007/978-3-030-36718-3_20
Book ISBNs
978-3-03-036717-6, 978-3-03-036718-3
Authors

Barbara Rychalska, Dominika Basaj, Alicja Gosiewska, Przemysław Biecek, Rychalska, Barbara, Basaj, Dominika, Gosiewska, Alicja, Biecek, Przemysław

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Student > Master 2 15%
Professor 1 8%
Student > Bachelor 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 6 46%
Readers by discipline Count As %
Computer Science 6 46%
Unknown 7 54%