From English To Foreign Languages: Transferring Pre-trained Language Models. Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds. Stress Test Evaluation of Transformer-based Models in Natural Language Understanding Tasks. Extending a Tag-based Collaborative Recommender with Co-occurring Information Interest …

Discrete Action On-Policy Learning with Action-Value Critic. TAdam: A Robust Stochastic Gradient Optimizer. Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images. To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing. Negative Margin Matters: Understanding Margin in Few-shot Classification. …

Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation. Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio. Multilingual Denoising Pre-training for Neural Machine Translation. Provable Self-Play Algorithms for Competitive Reinforcement Learning. Hierarchical Multi-Process Fusion f …

Semantic sensor fusion: from camera to sparse lidar information. Using generative adversarial networks to synthesize artificial financial datasets. Generalized Bayesian Cramér-Rao Inequality via Information Geometry of Relative $α$-Entropy. Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction. Inte …

Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing. Boosting Deep Face Recognition via Disentangling Appearance and Geometry. Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces. SalsaNext: Fast Semantic Segmentation of LiDAR Point Clouds for Autonomous Drivin …

Indoor Layout Estimation by 2D LiDAR and Camera Fusion. Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP). MetNet: A Neural Weather Model for Precipitation Forecasting. Difference Attention Based Error Correction LSTM Model for Time Series Prediction. AirRL: A Reinforcement Learni …

Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. Reinforcement Learning in Economics and Finance. Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach. SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances. A …

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case. Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions. Workload Prediction of Business Processes – An Approach Based on Process Mining and Recurrent Neural Networks. Dynamic Inference: A New Approach Toward Efficient Video Action Recognition …

Continual Learning with Bayesian Neural Networks for Non-Stationary Data. Knossos: Compiling AI with AI. Dynamic Time Lag Regression: Predicting What & When. Reparameterized Variational Divergence Minimization for Stable Imitation. Deep Symbolic Superoptimization Without Human Knowledge. Provable Filter Pruning for Efficient Neural Networks. Compre …