Word Embeddings

Paper Group ANR 28

Paper Group ANR 28

April 3, 2020

Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces. Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule. Deliberation Model Based Two-Pass End-to-End Speech Recognition. A.I. based Embedded Speech to Text Using Deepspeech. Trans …
Paper Group ANR 31

Paper Group ANR 31

April 3, 2020

Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward. RePAD: Real-time Proactive Anomaly Detection for Time Series. Better Boosting with Bandits for Online Learning. Dynamic ReLU. Accurately identifying vertebral levels in large datasets. Turning 30: New Ideas in Inductive Logic Programming. TGGLines: A Robust To …
Paper Group ANR 49

Paper Group ANR 49

April 3, 2020

Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks. Text-based inference of moral sentiment change. Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning. Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization. Human-to-Robot Attention Transfer for Robot Execution F …
Paper Group ANR 60

Paper Group ANR 60

April 3, 2020

Partial Weight Adaptation for Robust DNN Inference. A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study. Reducing Noise from Competing Neighbours: Word Retrieval with Lateral Inhibition in Multilink. Disturbance-immune Weight Sharing for Neural Architecture Search. Active Learning Approach …
Paper Group ANR 77

Paper Group ANR 77

April 3, 2020

Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. A Neural Architecture for Person Ontology population. HAMLET – A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection. Comparing Different Deep Learning Architectures for Classification of Chest Radiographs …
Paper Group ANR 80

Paper Group ANR 80

April 3, 2020

Multi-objective Ranking via Constrained Optimization. A Framework for Online Investment Algorithms. Defense Through Diverse Directions. Parameter Sharing in Coagent Networks. Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties. Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variabl …
Paper Group ANR 86

Paper Group ANR 86

April 3, 2020

Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives. Adversarial Incremental Learning. Offline Grid-Based Coverage path planning for guards in games. Max-Affine Spline Insights into Deep Generative Networks. Can speed up the convergence rate of stochastic gradient methods to $\mathcal{O}(1/k^2)$ by a gradient averag …
Paper Group AWR 1

Paper Group AWR 1

April 3, 2020

A Sparse Deep Factorization Machine for Efficient CTR prediction. Probability Weighted Compact Feature for Domain Adaptive Retrieval. Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning. Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features. SQLFlow: A Bridg …
Paper Group AWR 25

Paper Group AWR 25

April 3, 2020

ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation. Stance Detection Benchmark: How Robust Is Your Stance Detection?. Modeling ASR Ambiguity for Dialogue State Tracking Using Word Confusion Networks. Plato Dialogue System: A Flexible Conversational AI Research Platform. Two-Stream Aural-Visual Affect Analysis in the Wild. Cli …
Paper Group AWR 36

Paper Group AWR 36

April 3, 2020

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training. Iterate Averaging Helps: An Alternative Perspective in Deep Learning. Bio-Inspired Modality Fusion for Active Speaker Detection. Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. SimLoss: Class Similarities in Cross Entropy …
Paper Group AWR 43

Paper Group AWR 43

April 3, 2020

Multi-label learning for dynamic model type recommendation. MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling. Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. Ret …
Paper Group AWR 46

Paper Group AWR 46

April 3, 2020

RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies. Explainable outlier detection through decision tree conditioning. Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates. Text classification with word embedding regularization and soft similarity measure. Planning and E …
Paper Group AWR 48

Paper Group AWR 48

April 3, 2020

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation. PatentTransformer-2: Controlling Patent Text Generation by Structural Metadata. Reduced Dilation-Erosion Perceptron for Binary Classification. Learning State Abstractions for Transfer in Continuous Control. Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI C …
Paper Group AWR 5

Paper Group AWR 5

April 3, 2020

Gryffin: An algorithm for Bayesian optimization for categorical variables informed by physical intuition with applications to chemistry. Training Binary Neural Networks with Real-to-Binary Convolutions. ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting. TACO: Trash Annotations in …
Paper Group AWR 54

Paper Group AWR 54

April 3, 2020

DivideMix: Learning with Noisy Labels as Semi-supervised Learning. Robust Explanations for Visual Question Answering. Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings. Restricting the Flow: Information Bottlenecks for Attribution. Adversarial-Learned Loss for Domain Adaptation. On the Role of Conceptualization in Commonsense …
Paper Group AWR 6

Paper Group AWR 6

April 3, 2020

Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization. Measuring Social Biases in Grounded Vision and Language Embeddings. RNA Secondary Structure Prediction By Learning Unrolled Algorithms. Stacked DeBERT: All Attention in Incomplete Data for Text Classification. Unifying Graph Convolutional Neural Networks …
Paper Group AWR 61

Paper Group AWR 61

April 3, 2020

Face Recognition: Too Bias, or Not Too Bias?. GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. Estimating the number and effect sizes of non-null hypotheses. Refinement of Unsupervised Cross-Lingual Word Embeddings. Electricity Theft Detection with self-attention. A Physiology-Driven Computational Model for Post-Cardiac Ar …
Paper Group AWR 62

Paper Group AWR 62

April 3, 2020

Robust binary classification with the 01 loss. CRVOS: Clue Refining Network for Video Object Segmentation. Mean shift cluster recognition method implementation in the nested sampling algorithm. The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. Low Resource Neural Machine Translation: A Be …
Paper Group AWR 68

Paper Group AWR 68

April 3, 2020

Interactive Natural Language-based Person Search. Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks. A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification. Bayesian Neural Networks With Maximum Mean Discrepancy Regularization. On Identifying Hashtags in Disaster Twitter Dat …
Paper Group AWR 70

Paper Group AWR 70

April 3, 2020

Synaptic Metaplasticity in Binarized Neural Networks. Hierarchical Neural Architecture Search for Single Image Super-Resolution. Meta-Learning across Meta-Tasks for Few-Shot Learning. Few-Shot Learning as Domain Adaptation: Algorithm and Analysis. Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning. …
Paper Group ANR 107

Paper Group ANR 107

April 2, 2020

FrequentNet : A New Deep Learning Baseline for Image Classification. Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction. Partially Observable Games for Secure Autonomy. Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection. A Lagrangian Dual Framework for Deep Ne …
Paper Group ANR 119

Paper Group ANR 119

April 2, 2020

Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature. Options of Interest: Temporal Abstraction with Interest Functions. Self-Constructing Graph Convolutional Networks for Semantic Labeling. Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using St …
Paper Group ANR 122

Paper Group ANR 122

April 2, 2020

Towards precise causal effect estimation from data with hidden variables. Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition. A Formal Analysis of Multimodal Referring Strategies Under Common Ground. Learning medical triage from clinicians using Deep Q-Learning. On the Distributio …
Paper Group ANR 127

Paper Group ANR 127

April 2, 2020

Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20). Uncertainty based Class Activation Maps for Visual Question Answering. Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next “Level”. GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet. Phylogenetic signal in phonotactics. Revisiting Convolutional Neural …
Paper Group ANR 135

Paper Group ANR 135

April 2, 2020

Generate High-Resolution Adversarial Samples by Identifying Effective Features. Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. Communication Efficient Sparsification for Large Scale Machine Learning. Semantic Search of Memes on Twitter. Transformer++. Soft-Root-Sign Activation Function. Modeling Future Cost for N …
Paper Group ANR 156

Paper Group ANR 156

April 2, 2020

Ordered Functional Decision Diagrams. On Thompson Sampling with Langevin Algorithms. Optimizing Coordinated Vehicle Platooning: An Analytical Approach Based on Stochastic Dynamic Programming. Federated Learning of a Mixture of Global and Local Models. Reliable Distributed Clustering with Redundant Data Assignment. PointNetKL: Deep Inference for GIC …
Paper Group ANR 163

Paper Group ANR 163

April 2, 2020

Joint Multiclass Debiasing of Word Embeddings. Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback. Constraining the recent star formation history of galaxies : an Approximate Bayesian Computation approach. Teacher-Student chain for efficient semi-supervised histology image classification. One Explanation Does Not Fit Al …
Paper Group ANR 166

Paper Group ANR 166

April 2, 2020

Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society. Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection. Learning Near Optimal Policies with Low Inherent Bellman Error. Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration. Bridge the Domain Gap Betwe …