Fast Algorithms for Segmented Regression. Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data. Determining the Characteristic Vocabulary for a Specialized Dictionary using Word2vec and a Directed Crawler. Deep Coevolutionary Network: Embedding User and Item Features for Recommendation. Solving Visual Madlibs with Multip …

Estimating the Number of Clusters via Normalized Cluster Instability. Inference Networks for Sequential Monte Carlo in Graphical Models. Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence. Image-to-Markup Generation with Coarse-to-Fine Attention. Deep Learning with Eigenvalue Decay Regularizer. Gated-Attention Readers fo …

Global Deconvolutional Networks for Semantic Segmentation. Syntax-based Attention Model for Natural Language Inference. Investigating the influence of noise and distractors on the interpretation of neural networks. Empirical study of PROXTONE and PROXTONE$^+$ for Fast Learning of Large Scale Sparse Models. End-to-End Answer Chunk Extraction and Ran …

Trading-off variance and complexity in stochastic gradient descent. BreakID: Static Symmetry Breaking for ASP (System Description). Mining Software Quality from Software Reviews: Research Trends and Open Issues. Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data. Improved generator objectives for GANs. Feature Engineering an …

A network that learns Strassen multiplication. Sparse Linear Regression via Generalized Orthogonal Least-Squares. Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly. Improved Parsing for Argument-Clusters Coordination. Reinforcement Learning approach for Real Time Strategy Games Battle city and S3. Zero- …

Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel. Understanding and Mapping Natural Beauty. Application of multiview techniques to NHANES dataset. Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data. Automated Prediction of Temporal Relations. Super-Resolution Reconstruction of Electri …

Semiparametric energy-based probabilistic models. VLSI Extreme Learning Machine: A Design Space Exploration. Permutation-equivariant neural networks applied to dynamics prediction. Time Series Structure Discovery via Probabilistic Program Synthesis. Supervised Term Weighting Metrics for Sentiment Analysis in Short Text. Phase-Mapper: An AI Platform …

Improving sentence compression by learning to predict gaze. Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling. Global Optimality of Local Search for Low Rank Matrix Recovery. Text-mining the NeuroSynth corpus using Deep Boltzmann Machines. Regularized Pel-Recursive Motion Estimation Using Generalized Cross-Validation and Spatial Adap …

Hierarchical Manifold Clustering on Diffusion Maps for Connectomics (MIT 18.S096 final project). Learning to Track at 100 FPS with Deep Regression Networks. Improving the Performance of Neural Machine Translation Involving Morphologically Rich Languages. Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networ …