Investigating the feature collection for semantic segmentation via single skip connection. Learning Policies for Adaptive Tracking with Deep Feature Cascades. Patchnet: Interpretable Neural Networks for Image Classification. Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees. Bridging the Gap …

Learning Graph While Training: An Evolving Graph Convolutional Neural Network. Stochastic Global Optimization Algorithms: A Systematic Formal Approach. Knowledge Acquisition, Representation & Manipulation in Decision Support Systems. Inertial-aided Rolling Shutter Relative Pose Estimation. An automatic water detection approach based on Dempster-Sh …

Automatic semantic role labeling on non-revised syntactic trees of journalistic texts. MSR-net:Low-light Image Enhancement Using Deep Convolutional Network. Nonlinear Embedding Transform for Unsupervised Domain Adaptation. A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement. Nestrov’s Acceleration For Second Order Method. …

Learning Universal Adversarial Perturbations with Generative Models. The Lifted Matrix-Space Model for Semantic Composition. Table-to-text Generation by Structure-aware Seq2seq Learning. Specialising Word Vectors for Lexical Entailment. Accelerated Nearest Neighbor Search with Quick ADC. Catalyst Acceleration for First-order Convex Optimization: fr …

Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples. Cross-View Image Matching for Geo-localization in Urban Environments. Particle Clustering Machine: A Dynamical System Based Approach. On the State of the Art of Evaluation in Neural Language Models. Accurate Pulmonary Nodule Detection in Computed Tomography Im …

A selectional auto-encoder approach for document image binarization. Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization. SphereFace: Deep Hypersphere Embedding for Face Recognition. CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting. Text Coherence Analysis …

Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. 3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks. Language Generation with Recurrent Generative Adversarial Networks without Pre-training. Integrating Boundary and Center Correlation Filter …

An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT). Inverse Reward Design. A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition. Improving a Multi-Source Neural Machine Translation Model with Corpus Extension for Low-Resource Languages. Extracting Formal Models from Nor …

FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification. Properties on n-dimensional convolution for image deconvolution. A Joint Identification Approach for Argumentative Writing Revisions. PatternNet: Visual Pattern Mining with Deep Neural Network. Computing Egomotion with Local Loop Closures for Egocentric Videos. WebVision …

Spatiotemporal Modeling for Crowd Counting in Videos. Sparse Kernel Canonical Correlation Analysis via $\ell_1$-regularization. Connectivity Learning in Multi-Branch Networks. Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification. SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild. An Automatic App …

KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs. NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in Tweets. Incorporating Side Information by Adaptive Convolution. Accurate Supervised and Semi-Supervised Machine Reading for Long Documents. Hierarchical Clustering Beyond the Worst-Case. Leveraging Diverse Lex …