CVABS: Moving Object Segmentation with Common Vector Approach for Videos. Unsupervised Learning of GMM with a Uniform Background Component. NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification. Triad-based Neural Network for Coreference Resolution. Music Transformer. FastNet. Inferring network …

SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset. Texygen: A Benchmarking Platform for Text Generation Models. 3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. Learning to Count Objects in Natural Images for Visual Question Answering. PaMpeR: Proof Method Recommendation System for Isabelle …

A Style-Aware Content Loss for Real-time HD Style Transfer. Sparse Kernel PCA for Outlier Detection. Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders. Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging. General sol …

Towards Accurate Generative Models of Video: A New Metric & Challenges. XBART: Accelerated Bayesian Additive Regression Trees. The QLBS Q-Learner Goes NuQLear: Fitted Q Iteration, Inverse RL, and Option Portfolios. Learning from Positive and Unlabeled Data under the Selected At Random Assumption. A Possibility Distribution Based Multi-Criteria Deci …

Diffusion Based Network Embedding. Model Aggregation via Good-Enough Model Spaces. Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph. GAN-EM: GAN based EM learning framework. Capturing Ambiguity in Crowdsourcing Frame Disambiguation. Tracing in 2D to Reduce the Annotation Effort fo …

Actively Avoiding Nonsense in Generative Models. Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders. Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. Inference in Graded Bayesian Networks. An interpretable multiple kernel learning approach for the discovery of integrative cancer subtype …

Real-Time 3D Shape of Micro-Details. Online Deep Metric Learning. On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems. Synthetic data generation for end-to-end thermal infrared tracking. Simple Large-scale Relation Extraction from Unstructured Text. Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calib …