Towards Large Scale Training Of Autoencoders For Collaborative Filtering. Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. Predicting drug response of tumors from integrated genomic profiles by deep neural networks. Large Scale GAN Training for High Fidelity Natural Image Synthesis. Model-Ensemble Trust-Region Policy O …

Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals. Learning to Communicate Implicitly By Actions. EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching from Scratch. Online Multi-Label Classification: A Label Compression Method. Learning Neur …

Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs. Unsupervised Representation Learning by Predicting Image Rotations. Simultaneous Edge Alignment and Learning. RepMet: Representative-based metric learning for classification and one-shot object detection. Deep Learning using Rectified Linear Units (ReLU). …

Deep Spectral Reflectance and Illuminant Estimation from Self-Interreflections. Generative Models for Fast Calorimeter Simulation.LHCb case. Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences. Deep N …

Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning. SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks. Data-driven Localization and Estimation of Disturbance in the Interconnected Power System. Adaptivity for Regularized Kernel Methods by Lepskii’s Principle. CaloriNe …

Saliency-Enhanced Robust Visual Tracking. Modelling local phase of images and textures with applications in phase denoising and phase retrieval. The Training of Neuromodels for Machine Comprehension of Text. Brain2Text Algorithm. Effective Occlusion Handling for Fast Correlation Filter-based Trackers. Dual Conditional Cross-Entropy Filtering of Noi …

Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks. Towards Theoretical Understanding of Large Batch Training in Stochastic Gradient Descent. Linearized Binary Regression. The Singular Values of Convolutional Layers. Energy-Efficient CMOS Memristive Synapses for Mixed-Signal Neuromorphic System-on-a-Chip. T …

MelanoGANs: High Resolution Skin Lesion Synthesis with GANs. Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. Robust Student Network Learning. Using Deep Autoencoders for Facial Expression Recognition. Single Image Dehazing Based on Generic Regularity. Learning a Latent Space of Multitrack Measures. Strategies for Lang …

Negative Log Likelihood Ratio Loss for Deep Neural Network Classification. Deep Learning for Genomics: A Concise Overview. Relevant Attributes in Formal Contexts. Is Data Clustering in Adversarial Settings Secure?. Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer. A Foreground Inference Network for Video Surve …

Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information. Precise Temporal Action Localization by Evolving Temporal Proposals. Neural machine translation framework based cross-lingual document vector with distance constraint training. Highly Automated Learning for Improved Active …

Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning. Rank and Rate: Multi-task Learning for Recommender Systems. t-Exponential Memory Networks for Question-Answering Machines. Algebraic Machine Learning. From Gene Expression to Drug Response: A Collaborative Filtering Approach. VideoMem: Constructing, A …

Automated Process Planning for Hybrid Manufacturing. Moving Vehicle Detection Using AdaBoost and Haar-Like Feature in Surveillance Videos. A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents. Diversity and degrees of freedom in regression ensembles. Embarrassingly Simple Model for Early Action Pro …