Learning to Recognize Objects by Retaining other Factors of Variation. Learning to Extract Motion from Videos in Convolutional Neural Networks. DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers. Optimal Rates for Multi-pass Stochastic Gradient Methods. FLAG n’ FLARE: Fast Linearly-Coupled Adaptive Gradient Methods. A …

Visual Question Answering: A Survey of Methods and Datasets. Multiframe Motion Coupling for Video Super Resolution. On the Quantitative Analysis of Decoder-Based Generative Models. Learning to Poke by Poking: Experiential Learning of Intuitive Physics. The GPU-based Parallel Ant Colony System. 3D fully convolutional networks for subcortical segment …

Self Paced Deep Learning for Weakly Supervised Object Detection. Variational Inference: A Review for Statisticians. An empirical study on the effects of different types of noise in image classification tasks. Revisiting Distributed Synchronous SGD. RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks. Joint Unsupe …

Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals. Tuning-Free Heterogeneity Pursuit in Massive Networks. Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification. The Edit Dista …

Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Main Principles. Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks. Fast, Robust, Continuous Monocular Egomotion Computation. Geometric-Algebra LMS Adaptive Filter and its Application to Rotation Estimation. Beyond Sharing Weights for De …

SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. Exploitation of Semantic Keywords for Malicious Event Classification. Generation and Pruning of Pronunciation Variants to Improve ASR Accuracy. On the Resistance of Nearest Neighbor to Random Noisy Labels. Reverse Engineering and Symbolic Knowledge Extraction …

Towards Empathetic Human-Robot Interactions. Modeling and Estimation of Discrete-Time Reciprocal Processes via Probabilistic Graphical Models. Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems. Adaptive Frequency Cepstral Coefficients for Word Mispronunciation Detection. Meta-Path Guided Embedding for Similar …

SEMBED: Semantic Embedding of Egocentric Action Videos. Funnel-Structured Cascade for Multi-View Face Detection with Alignment-Awareness. Better Conditional Density Estimation for Neural Networks. Solving Combinatorial Optimization problems with Quantum inspired Evolutionary Algorithm Tuned using a Novel Heuristic Method. Kernel functions based on …

Semi-supervised Zero-Shot Learning by a Clustering-based Approach. Generative Image Modeling using Style and Structure Adversarial Networks. Variational Lossy Autoencoder. Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation. Temporally Robust Global Motion Compensation by Keypoint-based Congealing. Extr …

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 …

Adaptive Local Window for Level Set Segmentation of CT and MRI Liver Lesions. Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization. Mean Absolute Percentage Error for regression models. Warm Starting Bayesian Optimization. Encoding Cryptographic Functions to SAT Using Transalg System. TripleSpin - a generic compact pa …

Automatic Identification of Sarcasm Target: An Introductory Approach. Are Word Embedding-based Features Useful for Sarcasm Detection?. Deep Identity-aware Transfer of Facial Attributes. Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation. Measuring the reliability of MCMC inference with bidirectional M …

Combination of LMS Adaptive Filters with Coefficients Feedback. Unsupervised convolutional neural networks for motion estimation. Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference. The Neural Noisy Channel. Bayesian Optical Flow …

Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis. Corralling a Band of Bandit Algorithms. Semi-supervised Word Sense Disambiguation with Neural Models. Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network. A Predictive Model …

Error Metrics for Learning Reliable Manifolds from Streaming Data. Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution. Proactive Message Passing on Memory Factor Networks. Testing APSyn against Vector Cosine on Similarity Estimation. Lightweight Unsupervised Domain Adaptation by Convolutional Filter R …

DNA Image Pro – A Tool for Generating Pixel Patterns using DNA Tile Assembly. Projected Estimators for Robust Semi-supervised Classification. Adaptive Combination of l0 LMS Adaptive Filters for Sparse System Identification in Fluctuating Noise Power. GIFT: A Real-time and Scalable 3D Shape Search Engine. Multilingual Multiword Expressions. Machine …