A physical model for efficient ranking in networks. Room for improvement in automatic image description: an error analysis. Autoencoder Node Saliency: Selecting Relevant Latent Representations. Learned Optimizers that Scale and Generalize. DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation. Predicting Pairwise Relatio …

TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning. Distributed Mapping with Privacy and Communication Constraints: Lightweight Algorithms and Object-based Models. Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods. Interactive Attention Networks …

Hello Edge: Keyword Spotting on Microcontrollers. DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples. Count-ception: Counting by Fully Convolutional Redundant Counting. Human Pose Regression by Combining Indirect Part Detection and Contextual Information. Cross-Language Learning for Program Classification using …

Railway Track Specific Traffic Signal Selection Using Deep Learning. Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue. Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. Probabilistic Synchronous Parallel. Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities. Sparse Markov Dec …

PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection. Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis. Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery. Do Neural Nets Learn Statistical Laws behind Natura …

UBSegNet: Unified Biometric Region of Interest Segmentation Network. Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization for Intraoperative CLE Images. Effective Spoken Language Labeling with Deep Recurrent Neural Networks. Efficient and Effective Single-Document Summarizations and A Word-Embedding M …

Direct White Matter Bundle Segmentation using Stacked U-Nets. Discrepancy-Based Algorithms for Non-Stationary Rested Bandits. Incremental learning of high-level concepts by imitation. Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes. Jointly Optimizing Placement and Inference for Beacon-based Localization. …

Networked Fairness in Cake Cutting. Adversarial Deep Structured Nets for Mass Segmentation from Mammograms. Adversarial Symmetric Variational Autoencoder. Machine Learning Approaches to Energy Consumption Forecasting in Households. MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval. Simple to Complex Cross-modal Learning to R …

Robust Object Tracking Based on Self-adaptive Search Area. Multi-View Task-Driven Recognition in Visual Sensor Networks. Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection. It Takes Two to Tango: Towards Theory of AI’s Mind. Submodular Mini-Batch Training in Generative Moment Matching Networks. On …

A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models. Adaptive SVM+: Learning with Privileged Information for Domain Adaptation. Clustering in Hilbert simplex geometry. Detection of Tooth caries in Bitewing Radiographs using Deep Learning. FoodNet: Recognizing Foods Using Ensemble of Deep Networks. Pattern Recogn …

Bundle Optimization for Multi-aspect Embedding. Convolutional Neural Pyramid for Image Processing. Calculating Probabilities Simplifies Word Learning. Optimal and Learning Control for Autonomous Robots. Distributed Kernel K-Means for Large Scale Clustering. Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evo …

Leveraging Deep Neural Network Activation Entropy to cope with Unseen Data in Speech Recognition. Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC. Efficient and Invariant Convolutional Neural Networks for Dense Prediction. Between Homomorphic Signal Processing and Deep Neural Networks: Construc …

Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative Machine Learning approaches. Expert-Driven Genetic Algorithms for Simulating Evaluation Functions. Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. Context-aware stacked convolutional neural networks for classi …