HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT. SCOPS: Self-Supervised Co-Part Segmentation. Interactive Matching Network for Multi-Turn Response Select …

Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization. Asymmetric Random Projections. Non-Intrusive Electrical Appliances Monitoring and Classification using K-Nearest Neighbors. Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat. Alleviation of Gradient Exploding in GANs: Fake Can Be Real. Non-Intrusi …

Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation. Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households. Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration. Transmission Ma …

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching. Graph Convolutional Networks for Temporal Action Localization. Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression. Towards Efficient Model Compression via Learned Global Ranking. Once-for-All: Train One Network and Specialize it for Effic …

SANVis: Visual Analytics for Understanding Self-Attention Networks. Compositional Generalization in Image Captioning. Causality and Bayesian network PDEs for multiscale representations of porous media. Attention-based Fusion for Outfit Recommendation. Bilinear Bandits with Low-rank Structure. Transfer Reward Learning for Policy Gradient-Based Text …

An Algorithm for Approximating Continuous Functions on Compact Subsets with a Neural Network with one Hidden Layer. On Norm-Agnostic Robustness of Adversarial Training. Homogeneous Linear Inequality Constraints for Neural Network Activations. Quantum Inflation: A General Approach to Quantum Causal Compatibility. Scalable Reinforcement-Learning-Base …

Deep Sparse Coding for Non-Intrusive Load Monitoring. Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. Resource production of written forms of Sign Languages by a user-centered editor, SWift (SignWriting improved fast transcriber). Intelligent Systems Design for Malware Classification Under Adversarial Conditi …

Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification. Correlation Coefficients and Semantic Textual Similarity. DPPNet: Approximating Determinantal Point Processes with Deep Networks. ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition. DeepSFM: Structure From Motion Vi …