Variational Inference for Gaussian Process Models with Linear Complexity. Boltzmann Exploration Done Right. Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps (Masters Thesis). Hypothesis Testing for High-Dimensional Multinomials: A Selective Review. Towards Building Large Scale Multimodal Domain-Aware Conversation System …

Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classiffication. Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains. Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization. Statistical Analysis on Bangla Newspaper Data to Extract Trending Topic and Visualize Its Change Over Time. …

Enhanced Characterness for Text Detection in the Wild. Blind image deblurring using class-adapted image priors. Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks. Parle: parallelizing stochastic gradient descent. Comparison of Global Algorithms in Word Sense Disambiguation. Playing for Benchmarks. The IIT Bombay …

An Iterative BP-CNN Architecture for Channel Decoding. Towards the Use of Deep Reinforcement Learning with Global Policy For Query-based Extractive Summarisation. The Stixel world: A medium-level representation of traffic scenes. Interpretation of Semantic Tweet Representations. Consistent Multitask Learning with Nonlinear Output Relations. A rando …

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 …

Self-Taught Support Vector Machine. Gaussian Process Regression for Arctic Coastal Erosion Forecasting. Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic. Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portra …

Multi-step Reinforcement Learning: A Unifying Algorithm. Local nearest neighbour classification with applications to semi-supervised learning. Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. Subsampling for Ridge Regression via Regularized Volume Sampling. Vision-based Real-Time Aerial Object Localization an …

Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification. Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots. On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data. Deep Speaker Feature Learning for Text-independent Speaker Verification. Deep Le …

Asymptotic Confidence Regions for High-dimensional Structured Sparsity. Open-Category Classification by Adversarial Sample Generation. Meta learning Framework for Automated Driving. Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory. CT Image Reconstruction in a Low Dimensional Manifold. Map-based Multi-Policy Reinforcem …

The identity of information: how deterministic dependencies constrain information synergy and redundancy. Crime Topic Modeling. A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising. High Efficient Reconstruction of Single-shot T2 Mapping from OverLapping-Echo Detachment Planar Imaging …

A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling. Towards Proving the Adversarial Robustness of Deep Neural Networks. Combining Representation Learning with Logic for Language Processing. Controlling Physical Attributes in GAN-Accelerated Simulation of Electromagnetic Calorimeters. An ELU Network with Total Variation f …

Denoising Imaging Polarimetry by an Adapted BM3D Method. Cross-Domain Perceptual Reward Functions. Brain Responses During Robot-Error Observation. Video Captioning via Hierarchical Reinforcement Learning. Integer Echo State Networks: Hyperdimensional Reservoir Computing. Stochastic Separation Theorems. A Revisit on Deep Hashings for Large-scale Con …

Subword and Crossword Units for CTC Acoustic Models. Recursive Multikernel Filters Exploiting Nonlinear Temporal Structure. Riemannian Optimization via Frank-Wolfe Methods. Non-line-of-sight Imaging with Partial Occluders and Surface Normals. Structure Regularized Bidirectional Recurrent Convolutional Neural Network for Relation Classification. RCA …

Optimism-Based Adaptive Regulation of Linear-Quadratic Systems. Analogy Mining for Specific Design Needs. Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation. Modular Continual Learning in a Unified Visual Environment. Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method. When Kernel Methods meet Fe …