Multi-scale Dynamic Feature Encoding Network for Image Demoireing. SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations. Differentiation of Blackbox Combinatorial Solvers. SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking. Variational Bayesian Decision-making for Continuous Utilities. Boosting …

X-ray and Visible Spectra Circular Motion Images Dataset. Dual Averaging Method for Online Graph-structured Sparsity. Deep Triplet Quantization. On Tractable Computation of Expected Predictions. Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. An Introduction to Probabilistic Spiking Neural Networks: Probab …

Declarative Data Analytics: a Survey. Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network. Neural Design Network: Graphic Layout Generation with Constraints. Bottleneck potentials in Markov Random Fields. Learning to Segment Brain Anatomy from 2D Ultrasound with Les …

Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity. Naver Labs Europe’s Systems for the Document-Level Generation and Translation Task at WNGT 2019. Novel Long Short-Term Memory Cell Architectures: Application to Light Field Face Recognition. Automated Playtesting of Matching Tile Games. 3D human …

Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder. Intelligent Active Queue Management Using Explicit Congestion Notification. I Can See Clearly Now : Image Restoration via De-Raining. LSTM Networks Can Perform Dynamic Counting …

Distributed Maximization of Submodular plus Diversity Functions for Multi-label Feature Selection on Huge Datasets. Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network. Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams. Approximate Dynamic Programming For Linear Systems with …

Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks. Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles. DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators. Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreas …

Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments. Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding. Improving Generalization in Meta Reinforcement Learning using Learned Objectives. Real-Time EEG Classification via Coresets for BCI Applications. Evaluating the Robustne …