Word Embeddings

Paper Group AWR 324

February 1, 2020

Personalizing Dialogue Agents via Meta-Learning. Consistent Dialogue Generation with Self-supervised Feature Learning. Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations. Learning the Difference that Makes a Difference with …

Paper Group AWR 342

February 1, 2020

Investigating Self-Attention Network for Chinese Word Segmentation. A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing. SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data. Weighted Linear Bandits for Non-Stationary Environments. ReMASC: Realistic Replay Attack Corpus for Voice Contro …

Paper Group AWR 343

February 1, 2020

Neural ODEs as the Deep Limit of ResNets with constant weights. DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions. Lung nodule segmentation via level set machine learning. A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound. Does Adam optimizer keep close to the optimal point?. N2D …

Paper Group AWR 344

February 1, 2020

LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation. TabFact: A Large-scale Dataset for Table-based Fact Verification. U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. Background Suppression Network for Weakly-supervised Temporal Action Localization. Relational Word …

Paper Group AWR 355

February 1, 2020

Adapting Multilingual Neural Machine Translation to Unseen Languages. Adversarial Policy Gradient for Deep Learning Image Augmentation. TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. Story Ending Prediction by Transferable BERT. Learning Optimal Data Augmentation Policies via Bayesia …

Paper Group AWR 358

February 1, 2020

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. VarNet: Variational Neural Networks for the Solution of Partial Differential Equations. Safe Coordination of Human-Robot Firefighting Teams. 360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume. Full-Stack Filters to Build Minimum Viable CNNs. Generating Timelines …

Paper Group AWR 359

February 1, 2020

ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 “Heidelberg”. Referring Expression Object Segmentation with Caption-Aware Consistency. How Can We Know What Language Models Know?. Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. Outlier Exposure with Confidence Control for Out-of-Dist …

Paper Group AWR 361

February 1, 2020

ART: A machine learning Automated Recommendation Tool for synthetic biology. Localization of Fake News Detection via Multitask Transfer Learning. AdaOja: Adaptive Learning Rates for Streaming PCA. MixConv: Mixed Depthwise Convolutional Kernels. GhostNet: More Features from Cheap Operations. A Causal Inference Method for Reducing Gender Bias in Word …

Paper Group AWR 366

February 1, 2020

Robust sound event detection in bioacoustic sensor networks. Learning Metrics from Teachers: Compact Networks for Image Embedding. SciBERT: A Pretrained Language Model for Scientific Text. Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. Learning to synthesise the ageing brain without longitudinal data. A …

Paper Group AWR 77

February 1, 2020

Greedy Optimized Multileaving for Personalization. Verification of Neural Networks: Specifying Global Robustness using Generative Models. Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. Zero-Shot Open Entity Typing as Type-Compatible Grounding. The Proper Care and Feeding o …

Paper Group AWR 85

February 1, 2020

Synthetic dataset generation for object-to-model deep learning in industrial applications. OpenCL-based FPGA accelerator for disparity map generation with stereoscopic event cameras. Stochastic Gradient MCMC for Nonlinear State Space Models. Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Co …

Paper Group AWR 91

February 1, 2020

Unsupervised Label Noise Modeling and Loss Correction. On improving deep learning generalization with adaptive sparse connectivity. Deep Density-aware Count Regressor. Generative Adversarial Networks for text using word2vec intermediaries. Learning to Optimize Multigrid PDE Solvers. Attention model for articulatory features detection. Graph Embedde …

Paper Group AWR 97

February 1, 2020

Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. Bayesian active learning for optimization and uncertainty quantification in protein docking. Bayesian Optimization of Composite Functions. Fast Tree Variants of Gromov-Wasserstein. CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema …

Paper Group ANR 10

January 31, 2020

Learning Robust 3D Face Reconstruction and Discriminative Identity Representation. Modeling Named Entity Embedding Distribution into Hypersphere. PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model. Occlusions for Effective Data Augmentation in Image Classification. IMHO Fine-Tuning Improves Claim Detection. Maize Yield and …

Paper Group ANR 105

January 31, 2020

Recovering Localized Adversarial Attacks. A 20-Year Community Roadmap for Artificial Intelligence Research in the US. Enhancing Clinical Concept Extraction with Contextual Embeddings. DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation. Reinforcement Learning with Low-Complexity Liquid State Mac …

Paper Group ANR 137

January 31, 2020

BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans. Understanding Sparse JL for Feature Hashing. Image Detection and Digit Recognition to solve Sudoku as a Constraint Satisfac …

Paper Group ANR 155

January 31, 2020

Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers. Optimizing Shallow Networks for Binary Classification. Code-Switching for Enhancing NMT with Pre-Specified Translation. Convergence rates for the stochastic gradient descent method for non-convex objective functions. Learning Metric Graphs for Neuron Segmentation In …

Paper Group ANR 168

January 31, 2020

On the Convergence of FedAvg on Non-IID Data. Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed. English-Bhojpuri SMT System: Insights from the Karaka Model. DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification. Improving sequence-to-sequence speech recognition training with on-the-fly data augmenta …

Paper Group ANR 169

January 31, 2020

Refinements of Barndorff-Nielsen and Shephard model: an analysis of crude oil price with machine learning. Streaming Adaptive Nonparametric Variational Autoencoder. Effective Data Augmentation with Multi-Domain Learning GANs. Knowledge Query Network: How Knowledge Interacts with Skills. Assessing the Impact of a User-Item Collaborative Attack on Cl …

Paper Group ANR 181

January 31, 2020

Prudence When Assuming Normality: an advice for machine learning practitioners. Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data. Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings. Bayesian Optimized 1-Bit CNNs. STEFANN: Scene Text Editor using Font Adaptive Neural Network …

Paper Group ANR 185

January 31, 2020

Thermostatic control for demand response using distributed averaging and deep neural networks. Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm. A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. Discriminative Clustering for Robust Unsupervised Domain Adaptation. Representat …

Paper Group ANR 192

January 31, 2020

Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response. Quantifying Exposure Bias for Neural Language Generation. An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models. Exploiting semi-supervised training through a dropout regularization in end-to-end speech recogn …

Paper Group ANR 27

January 31, 2020

Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image. Pretrain Soft Q-Learning with Imperfect Demonstrations. Temporal Analysis of Reddit Networks via Role Embeddings. When Labelled Data Hurts: Deep Semi-Supervised Classification with the Graph 1-Laplacian. Knowledge Distillation via Route Constrained Optimization. A …

Paper Group ANR 34

January 31, 2020

Explaining Deep Learning Models with Constrained Adversarial Examples. Overview of the Ugglan Entity Discovery and Linking System. Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks. Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions. DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics …

Paper Group ANR 40

January 31, 2020

Simple but effective techniques to reduce biases. Learning the Right Expansion-ordering Heuristics for Satisfiability Testing in OWL Reasoners. DTN: A Learning Rate Scheme with Convergence Rate of $\mathcal{O}(1/t)$ for SGD. 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. Multilingual Bottleneck Featur …

Paper Group ANR 41

January 31, 2020

Uncertainty relations and fluctuation theorems for Bayes nets. Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar. Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings. A Survey on Face Data Augmentation. NGO-GM: Natural Gradient Optimization for Graphical Models. More Data Can H …

Paper Group ANR 46

January 31, 2020

Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging. Diversified Hidden Markov Models for Sequential Labeling. Deep Residual Reinforcement Learning. Histopathologic Image Processing: A Review. Pointing Novel Objects in Image Captioning. Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectros …

Paper Group ANR 55

January 31, 2020

Predicting colorectal polyp recurrence using time-to-event analysis of medical records. Why Does My Model Fail? Contrastive Local Explanations for Retail Forecasting. Towards robust word embeddings for noisy texts. Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN. A Multiple Continuous Signal Alignment Algorithm with Gaussian …