Multiplayer Games for Learning Multirobot Coordination Algorithms. Doubly stochastic large scale kernel learning with the empirical kernel map. The DLVHEX System for Knowledge Representation: Recent Advances (System Description). When is Clustering Perturbation Robust?. Identifying Stable Patterns over Time for Emotion Recognition from EEG. Computa …

Shallow and Deep Convolutional Networks for Saliency Prediction. Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs. An Efficient Training Algorithm for Kernel Survival Support Vector Machines. Double Thompson Sampling for Dueling Bandits. Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks. Causal Lear …

Asynchronous Temporal Fields for Action Recognition. Iterative Alternating Neural Attention for Machine Reading. Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders. Superpixels: An Evaluation of the State-of-the-Art. End to End Learning for Self-Driving Cars. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5 …

Example-Based Image Synthesis via Randomized Patch-Matching. DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. Dynamic Decomposition of Spatiotemporal Neural Signals. Development of a 3D tongue motion visualization platform based on ultrasound image sequences. Photographic home styles in Congress: a computer vision approach. Partia …

Completely random measures for modeling power laws in sparse graphs. Resolution- and throughput-enhanced spectroscopy using high-throughput computational slit. Question Answering via Integer Programming over Semi-Structured Knowledge. Robust end-to-end deep audiovisual speech recognition. Deep Transfer Learning with Joint Adaptation Networks. Fast …

Scaling up Dynamic Topic Models. Discovering Useful Parts for Pose Estimation in Sparsely Annotated Datasets. Liquid Democracy: An Analysis in Binary Aggregation and Diffusion. Advances in Very Deep Convolutional Neural Networks for LVCSR. Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model. Support Vector Machines and Generalisatio …

Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. Creating Causal Embeddings for Question Answering with Minimal Supervision. Regression-based Hypergraph Learning for Image Clustering and Classification. The Generalized Smallest Grammar Problem. Relating Knowledge and Coordinated Action: The Knowledge of Precondit …

Transfer Learning for Endoscopic Image Classification. Parameter Compression of Recurrent Neural Networks and Degradation of Short-term Memory. Using Self-Contradiction to Learn Confidence Measures in Stereo Vision. TabMCQ: A Dataset of General Knowledge Tables and Multiple-choice Questions. Multi-source Hierarchical Prediction Consolidation. Impro …