Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin. Open Knowledge Enrichment for Long-tail Entities. Decision Trees for Decision-Making under the Predict-then-Optimize Framework. Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. Adversarial Attacks a …

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 …

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!. Adaptive Propagation Graph Convolutional Network. Constant-Delay Enumeration for Nondeterministic Document Spanners. The Two-Pass Softmax Algorithm. Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. Predict …

On the Estimation of Complex Circuits Functional Failure Rate by Machine Learning Techniques. Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning. Deep Semantic Matching with Foreground Detection and Cycle-Consistency. Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Net …

On Demand Solid Texture Synthesis Using Deep 3D Networks. Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes. Adversarial Generation of Informative Trajectories for Dynamics System Identification. One-Shot Domain Adaptation For Face Generation. Learning to Fly via Deep Model-Based Reinforcement Learning. Dual-Attention GAN fo …

CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images. FOCUS: Dealing with Label Quality Disparity in Federated Learning. Secure Metric Learning via Differential Pairwise Privacy. OpenGAN: Open Set Generative Adversarial Networks. Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions. Bui …

Learning scalable and transferable multi-robot/machine sequential assignment planning via graph embedding. Learning Generative Models using Denoising Density Estimators. Invertible generative models for inverse problems: mitigating representation error and dataset bias. XD: Cross-lingual Knowledge Distillation for Polyglot Sentence Embeddings. A Bi …

Transferable Recognition-Aware Image Processing. Towards a Speech Recognizer for Komi, an Endangered and Low-Resource Uralic Language. PopSGD: Decentralized Stochastic Gradient Descent in the Population Model. Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation. COPHY: Counterfactual Learning of Phys …

A shallow feature extraction network with a large receptive field for stereo matching tasks. DeepEnFM: Deep neural networks with Encoder enhanced Factorization Machine. Generating Robust Audio Adversarial Examples using Iterative Proportional Clipping. Limitations for Learning from Point Clouds. Adaptive Structural Fingerprints for Graph Attention …

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network. MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. Chameleon: Adaptive Code Optimization For Expedited Deep Neural Network Compilation. ProtoAttend: Attention- …