Diffusion Based Network Embedding. Model Aggregation via Good-Enough Model Spaces. Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph. GAN-EM: GAN based EM learning framework. Capturing Ambiguity in Crowdsourcing Frame Disambiguation. Tracing in 2D to Reduce the Annotation Effort fo …

Co-occurrence of the Benford-like and Zipf Laws Arising from the Texts Representing Human and Artificial Languages. Deep Learning Approach for Predicting 30 Day Readmissions after Coronary Artery Bypass Graft Surgery. dynnode2vec: Scalable Dynamic Network Embedding. A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival …

To Cluster, or Not to Cluster: An Analysis of Clusterability Methods. Entropy production rate as a criterion for inconsistency in decision theory. SAFE: Spectral Evolution Analysis Feature Extraction for Non-Stationary Time Series Prediction. Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images. Th …

Did William Shakespeare and Thomas Kyd Write Edward III?. Design and implementation of smart cooking based on amazon echo. Automatic Metric Validation for Grammatical Error Correction. Manifold Structured Prediction. Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference. gl2vec: Learning Feature Repr …

Deep Dialog Act Recognition using Multiple Token, Segment, and Context Information Representations. AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. Unified recurrent neural network for many feature types. Opinion Spam Recognition Method for Online Reviews using Ontological Features. Multi-task Learning for Universal Sent …

Gaussian-Constrained training for speaker verification. Coins and Logic. Reaching Data Confidentiality and Model Accountability on the CalTrain. DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. Language Model Supervision for Handwriting Recognition Model Adaptation. Harmonizable mixture kernels with variational Fourie …

GANE: A Generative Adversarial Network Embedding. Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data. Learning Depth from Single Images with Deep Neural Network Embedding Focal Length. AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding. Data Augmentation for Detection of Architect …

Tensor Monte Carlo: particle methods for the GPU era. AI in Game Playing: Sokoban Solver. QuAC : Question Answering in Context. Efficient Egocentric Visual Perception Combining Eye-tracking, a Software Retina and Deep Learning. Matrix Factorization via Deep Learning. Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning. Perf …

Combining Shallow and Deep Learning for Aggressive Text Detection. Learned Shape-Tailored Descriptors for Segmentation. The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network. Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention. Improve Neural Entity Recognition via M …

RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding. Neural Activation Semantic Models: Computational lexical semantic models of localized neural activations. Reproducing and Regularizing the SCRN Model. Crowd Counting With Deep Negative Correlation Learning. The Influence of Context on Sent …

The effect of information controls on developers in China: An analysis of censorship in Chinese open source projects. Improving Hate Speech Detection with Deep Learning Ensembles. Automatic Dialogue Generation with Expressed Emotions. Adversarial Multi-lingual Neural Relation Extraction. Learning Loop Invariants for Program Verification. A Melody-C …

Findings of the Third Shared Task on Multimodal Machine Translation. Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation. Legal Judgment Prediction via Topological Learning. Auto-Encoding Dictionary Definitions into Consistent Word Embeddings. SeriesNet:A Generative Time Series Forecasting Model. Using active learning to e …

DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding. Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement. A Reassessment of Reference-Based Grammatical Error Correction Metrics. Facts That Matter. Stochastic Capsule Endoscopy Image Enhancement. Fusing St …

Chengyu Cloze Test. Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous Data. Binarized Attributed Network Embedding. MGAD: Multilingual Generation of Analogy Datasets. Sudachi: a Japanese Tokenizer for Business. Parallel Feature Pyramid Network for Object Detection. Crowd Counting via Adversarial …

Semi-Supervised Learning via New Deep Network Inversion. BioAMA: Towards an End to End BioMedical Question Answering System. Telling Stories with Soundtracks: An Empirical Analysis of Music in Film. Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation. Towards a Welsh Semantic Annotation System. Bacteria and Biotope Entity R …