deep learning

Paper Group AWR 90

Paper Group AWR 90

May 7, 2019

Deep Convolutional Neural Network Design Patterns. Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data. Generic Inference in Latent Gaussian Process Models. Direct Sparse Odometry. Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. A Compare-Aggregate Model for Ma …
Paper Group AWR 91

Paper Group AWR 91

May 7, 2019

Active Learning from Positive and Unlabeled Data. From Word Embeddings to Item Recommendation. Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs. Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks. Topic Aware Neural Response Generation. Node Embedding via Word Embedding for Network Com …
Paper Group AWR 92

Paper Group AWR 92

May 7, 2019

Split-door criterion: Identification of causal effects through auxiliary outcomes. A Discrete and Bounded Envy-Free Cake Cutting Protocol for Any Number of Agents. Hybrid Collaborative Filtering with Autoencoders. TensorLy: Tensor Learning in Python. Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia. Discrimina …
Paper Group AWR 93

Paper Group AWR 93

May 7, 2019

Business Process Deviance Mining: Review and Evaluation. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. Measuring Neural Net Robustness with Constraints. CliqueCNN: Deep Unsupervised Exemplar Learning. An Architecture for Deep, Hierarchical Generative Models. Deep Transfer Learning for Person Re-identification. B …
Paper Group AWR 95

Paper Group AWR 95

May 7, 2019

iCaRL: Incremental Classifier and Representation Learning. Generalized Kalman Smoothing: Modeling and Algorithms. Modular Tracking Framework: A Unified Approach to Registration based Tracking. Understanding Deep Convolutional Networks. Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling. Automatic chemical design using a …
Paper Group AWR 96

Paper Group AWR 96

May 7, 2019

DeMoN: Depth and Motion Network for Learning Monocular Stereo. Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings. Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors. Tweet2Vec: Character-B …
Paper Group AWR 97

Paper Group AWR 97

May 7, 2019

Neural Combinatorial Optimization with Reinforcement Learning. Deep Learning and Its Applications to Machine Health Monitoring: A Survey. Local Subspace-Based Outlier Detection using Global Neighbourhoods. Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks. SIFT Meet …
Paper Group AWR 98

Paper Group AWR 98

May 7, 2019

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. Harnessing the Power of the Crowd to Increase Capacity for Data Science in the Social Sector. Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation. Every Filter Extracts A Specific Texture In Convolutional Neural Networks. Technical Report: Towards a Unive …
Paper Group AWR 99

Paper Group AWR 99

May 7, 2019

Attention-over-Attention Neural Networks for Reading Comprehension. Beyond CCA: Moment Matching for Multi-View Models. Recurrent Neural Networks for Multivariate Time Series with Missing Values. Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering. Making the V in VQA Matter: Elevating the Role of Image Understanding in …
Paper Group ANR 160

Paper Group ANR 160

May 6, 2019

Learning text representation using recurrent convolutional neural network with highway layers. Identifying individual facial expressions by deconstructing a neural network. Model-based Outdoor Performance Capture. Large Collection of Diverse Gene Set Search Queries Recapitulate Known Protein-Protein Interactions and Gene-Gene Functional Association …
Paper Group ANR 161

Paper Group ANR 161

May 6, 2019

‘Part’ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems. Efficient adaptation of complex-valued noiselet sensing matrices for compressed single-pixel imaging. Optimising The Input Window Alignment in CD-DNN Based Phoneme Recognition for Low Latency Processing. Shallow Parsing Pipeline for Hindi- …
Paper Group ANR 163

Paper Group ANR 163

May 6, 2019

Adams Conditioning and Likelihood Ratio Transfer Mediated Inference. Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation. Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. Information Projection and Approximate Inference for Structured Sparse Variables. Learning Moore Machines from Input-Output Traces. A …
Paper Group ANR 164

Paper Group ANR 164

May 6, 2019

Uniform {\varepsilon}-Stability of Distributed Nonlinear Filtering over DNAs: Gaussian-Finite HMMs. Interpreting Finite Automata for Sequential Data. Context-aware Sequential Recommendation. Recurrent Neural Radio Anomaly Detection. Variational Koopman models: slow collective variables and molecular kinetics from short off-equilibrium simulations. …
Paper Group ANR 165

Paper Group ANR 165

May 6, 2019

Range-based argumentation semantics as 2-valued models. Adaptability of Neural Networks on Varying Granularity IR Tasks. $f$-Divergence Inequalities via Functional Domination. Tool and Phase recognition using contextual CNN features. Implementing a Relevance Tracker Module. A Probabilistic Optimum-Path Forest Classifier for Binary Classification Pr …
Paper Group ANR 166

Paper Group ANR 166

May 6, 2019

On the function approximation error for risk-sensitive reinforcement learning. A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples. PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. Global Hypothesis Generation for 6D Object Pose Estimation. Toward a new instances of NELL. Issues in evaluating …
Paper Group ANR 171

Paper Group ANR 171

May 6, 2019

Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets. Vicinity-Driven Paragraph and Sentence Alignment for Comparable Corpora. Incremental Nonlinear System Identification and Adaptive Particle Filtering Using Gaussian Process. Automatic Selection of Stochastic Watershed Hierarchies. Multi-source Tr …
Paper Group ANR 172

Paper Group ANR 172

May 6, 2019

Example-Based Image Synthesis via Randomized Patch-Matching. DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. Dynamic Decomposition of Spatiotemporal Neural Signals. Development of a 3D tongue motion visualization platform based on ultrasound image sequences. Photographic home styles in Congress: a computer vision approach. Partia …
Paper Group ANR 175

Paper Group ANR 175

May 6, 2019

Efficient Multi-view Performance Capture of Fine-Scale Surface Detail. Hierarchy through Composition with Linearly Solvable Markov Decision Processes. Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method. Hybrid Learning of Optical Flow and Next Frame Prediction to Boost Optical Flow in the Wild. Distance Metric Learn …
Paper Group ANR 178

Paper Group ANR 178

May 6, 2019

Find an Optimal Path in Static System and Dynamical System within Polynomial Runtime. Geometry of 3D Environments and Sum of Squares Polynomials. Large scale near-duplicate image retrieval using Triples of Adjacent Ranked Features (TARF) with embedded geometric information. Machine Learning for Visual Navigation of Unmanned Ground Vehicles. Towards …
Paper Group ANR 182

Paper Group ANR 182

May 6, 2019

Word2VisualVec: Image and Video to Sentence Matching by Visual Feature Prediction. Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN. Online shopping behavior study based on multi-granularity opinion mining: China vs. America. Neural Turing Machines: Convergence of Copy Tasks. Sketching for Large-Scale Learning of M …
Paper Group ANR 183

Paper Group ANR 183

May 6, 2019

Learning Dexterous Manipulation Policies from Experience and Imitation. Oracle Inequalities for High-dimensional Prediction. Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. Enabling Cognitive Intelligence Queries in Relational Databases using Low-dimensional Word Embeddings. On-Average KL-Privacy and its …
Paper Group ANR 184

Paper Group ANR 184

May 6, 2019

Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity. Declarative Machine Learning - A Classification of Basic Properties and Types. Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow. Revising Incompletely Specified Convex Probabilistic Belief Bases. Speech …
Paper Group ANR 185

Paper Group ANR 185

May 6, 2019

Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. The Asymptotic Performance of Linear Echo State Neural Networks. Fast DPP Sampling for Nyström with Application to Kernel Methods. Practical Riemannian Neural Networks. Probabilistic Saliency Estimation. Product Offerings in Malicious Hacker Markets. Qua …
Paper Group ANR 187

Paper Group ANR 187

May 6, 2019

Characterizing Driving Styles with Deep Learning. Towards a Theoretical Analysis of PCA for Heteroscedastic Data. Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon. Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA. Neural Networks C …
Paper Group ANR 188

Paper Group ANR 188

May 6, 2019

Proactive Decision Support using Automated Planning. Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135). Characterization of neighborhood behaviours in a multi-neighborhood local search algorithm. Optimal Rates of Statistical Seriation. Full Flow: Optical Flow Estimation By Global Optimization over …
Paper Group ANR 190

Paper Group ANR 190

May 6, 2019

A random version of principal component analysis in data clustering. Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors. End-to-End Kernel Learning with Supervised Convolutional Kernel Networks. Large Scale Kernel Learning using Block Coordinate Descent. Prognostics of Surgical Site Infections using Dynamic Health Data. Fuzzy t …
Paper Group ANR 192

Paper Group ANR 192

May 6, 2019

Equity forecast: Predicting long term stock price movement using machine learning. Query Complexity of Tournament Solutions. Hierarchical Compound Poisson Factorization. Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks. A neuro-mathematical model for geometrical optical illusions. Visualisation of Survey Respo …
Paper Group ANR 194

Paper Group ANR 194

May 6, 2019

Efficient Estimation in the Tails of Gaussian Copulas. Modeling trajectories of mental health: challenges and opportunities. A deep learning model for estimating story points. Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models. Image Segmentation Using Overlapping Group Sparsity. Learning Relational …