SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis. A Hybrid Approach For Hindi-English Machine Translation. Using deep learning to reveal the neural code for images in primary visual cortex. Deep learning and the Schrödinger equation. Scalable Twin Neural Networks for Classification of Unbalanced …

Co-evolutionary multi-task learning for dynamic time series prediction. Calibration for the (Computationally-Identifiable) Masses. Environment-Independent Task Specifications via GLTL. Spice up Your Chat: The Intentions and Sentiment Effects of Using Emoji. Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary. Generating Compa …

High-Resolution Deep Convolutional Generative Adversarial Networks. Probabilistic programs for inferring the goals of autonomous agents. Receptive Field Block Net for Accurate and Fast Object Detection. Cost-complexity pruning of random forests. Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning. Advers …

Learning Latent Super-Events to Detect Multiple Activities in Videos. NeuralFDR: Learning Discovery Thresholds from Hypothesis Features. Fast Threshold Tests for Detecting Discrimination. DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation. SMSSVD - SubMatrix Selection Singular Value Decomposition. Compressing Word Em …

Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation. Rotational Unit of Memory. Deep and Confident Prediction for Time Series at Uber. Cynical Selection of Language Model Training Data. Temporal Relational Reasoning in Videos. End-to-end Neural Coreference Resolution. Deep Rotation Equivariant Network. Classification w …

High-Order Attention Models for Visual Question Answering. Imagination-Augmented Agents for Deep Reinforcement Learning. BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages. Interpretable Explanations of Black Boxes by Meaningful Perturbation. Structure propagation for zero-shot learning. A Neural Language Model for Dynamically …

Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks. A Unified Approach to Interpreting Model Predictions. KATE: K-Competitive Autoencoder for Text. Backtracking Regression Forests for Accurate Camera Relocalization. ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Lo …

An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network. Weighted Tensor Decomposition for Learning Latent Variables with Partial Data. Generative Cooperative Net for Image Generation and Data Augmentation. An Evolutionary Computing Enriched RS Attack Resilient Medical Image Steganography Model for Telemedicine A …

Experimental results : Reinforcement Learning of POMDPs using Spectral Methods. Open-World Visual Recognition Using Knowledge Graphs. Building competitive direct acoustics-to-word models for English conversational speech recognition. Learning to Play Othello with Deep Neural Networks. Direct Acoustics-to-Word Models for English Conversational Speec …

Block-Sparse Recurrent Neural Networks. Sparse Neural Networks Topologies. Using Optimal Ratio Mask as Training Target for Supervised Speech Separation. Learning Unified Embedding for Apparel Recognition. A Survey on Content-Aware Video Analysis for Sports. Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild. The CLa …

When Traffic Flow Prediction Meets Wireless Big Data Analytics. Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA. Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework. Motif-based Rule Discovery for Predicting Real-valued Time Seri …

Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction. Exploiting Convolution Filter Patterns for Transfer Learning. Additive Models with Trend Filtering. Pose-based Deep Gait Recognition. Graph Regularized Tensor Sparse Coding for Image Representation. Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov R …

Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment. Representation Learning for Scale-free Networks. OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts. Foreign-language Reviews: Help or Hindrance?. Modeling Musical Context with Word2v …

Behind the Scenes of an Evolving Event Cloze Test. Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams. How (not) to train a dependency parser: The curious case of jackknifing part-of-speech taggers. Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based …

Tokyo Metropolitan University Neural Machine Translation System for WAT 2017. Discourse-Wide Extraction of Assay Frames from the Biological Literature. ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization. Interactive Learning of Grounded Verb Semantics towards Human-Robot Communication. A Hierarchical Neural Mo …

Evaluating Preprocessing Strategies for Time Series Prediction Using Deep Learning Architectures. Character Based Pattern Mining for Neology Detection. Automatic identification of head movements in video-recorded conversations: can words help?. Technical Report for E2E NLG Challenge. Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment …