Stochastic Optimization

Paper Group ANR 1

Paper Group ANR 1

May 7, 2019

Posterior Sampling for Reinforcement Learning Without Episodes. Maxmin convolutional neural networks for image classification. Knowledge Completion for Generics using Guided Tensor Factorization. Synthesis of Gaussian Trees with Correlation Sign Ambiguity: An Information Theoretic Approach. A Unified Framework for Sparse Non-Negative Least Squares …
Paper Group ANR 106

Paper Group ANR 106

May 7, 2019

Multiplayer Games for Learning Multirobot Coordination Algorithms. Doubly stochastic large scale kernel learning with the empirical kernel map. The DLVHEX System for Knowledge Representation: Recent Advances (System Description). When is Clustering Perturbation Robust?. Identifying Stable Patterns over Time for Emotion Recognition from EEG. Computa …
Paper Group ANR 108

Paper Group ANR 108

May 7, 2019

An Empirical Study on Academic Commentary and Its Implications on Reading and Writing. Fast Training of Convolutional Neural Networks via Kernel Rescaling. Fusion of EEG and Musical Features in Continuous Music-emotion Recognition. Multi-pretrained Deep Neural Network. Interdependent Scheduling Games. Dense Image Representation with Spatial Pyramid …
Paper Group ANR 127

Paper Group ANR 127

May 7, 2019

Fuzzy Statistical Matrices for Cell Classification. Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning. Leveraging Unstructured Data to Detect Emerging Reliability Issues. Scalable Approximations for Generalized Linear Problems. Bibliographic Analysis with the Citation Network Topic Model. Towards Neural Knowledge DNA. …
Paper Group ANR 146

Paper Group ANR 146

May 7, 2019

A strengthening of rational closure in DLs: reasoning about multiple aspects. Generative Adversarial Nets from a Density Ratio Estimation Perspective. Parametric Exponential Linear Unit for Deep Convolutional Neural Networks. Deeply Aggregated Alternating Minimization for Image Restoration. Pose from Action: Unsupervised Learning of Pose Features b …
Paper Group ANR 23

Paper Group ANR 23

May 7, 2019

Sentiment Analysis in Scholarly Book Reviews. Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation. Algorithmic Songwriting with ALYSIA. On Horizontal and Vertical Separation in Hierarchical Text Classification. A universal tradeoff between power, precision and speed in physical communication. Infant directed speech is co …
Paper Group ANR 47

Paper Group ANR 47

May 7, 2019

Cognitive Dynamic Systems: A Technical Review of Cognitive Radar. ML-based tactile sensor calibration: A universal approach. Differential Evolution for Efficient AUV Path Planning in Time Variant Uncertain Underwater Environment. Visual Place Recognition with Probabilistic Vertex Voting. Information-theoretical label embeddings for large-scale imag …
Paper Group ANR 56

Paper Group ANR 56

May 7, 2019

Ensemble Methods of Classification for Power Systems Security Assessment. Firefly Algorithm for optimization problems with non-continuous variables: A Review and Analysis. Shamela: A Large-Scale Historical Arabic Corpus. On the Complexity of Connection Games. Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. Deep Attributes Driv …
Paper Group ANR 64

Paper Group ANR 64

May 7, 2019

Iterative Hierarchical Optimization for Misspecified Problems (IHOMP). Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS. Transliteration in Any Language with Surrogate Languages. Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. A SAT model to mine fle …
Paper Group ANR 66

Paper Group ANR 66

May 7, 2019

Scalable Adaptive Stochastic Optimization Using Random Projections. A-expansion for multiple “hedgehog” shapes. Compression and the origins of Zipf’s law for word frequencies. Sub-Linear Privacy-Preserving Near-Neighbor Search. DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression. Image Credibility Analysis with Effect …
Paper Group ANR 7

Paper Group ANR 7

May 7, 2019

Order-aware Convolutional Pooling for Video Based Action Recognition. Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images. Katyusha: The First Direct Acceleration of Stochastic Gradient Methods. A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors. Deep Reinforcement Learning Discovers Internal Model …
Paper Group AWR 1

Paper Group AWR 1

May 7, 2019

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. Artistic style transfer for videos. Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. AMOS: An Automated Model Order Selection Algorithm for Spectral Graph Clustering. Phase Transitions and a Model Order Selection Criterion for Spectral Grap …
Paper Group AWR 102

Paper Group AWR 102

May 7, 2019

Convolutional Recurrent Neural Networks for Music Classification. Recurrent Dropout without Memory Loss. Geometric deep learning on graphs and manifolds using mixture model CNNs. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization. An Efficient Character-Level Neural Machine Translation. NIPS 2016 Tutorial: Generative Adversaria …
Paper Group AWR 28

Paper Group AWR 28

May 7, 2019

From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification. CYCLADES: Conflict-free Asynchronous Machine Learning. Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering. End-to-end Optimized Image Compression. Astronomical image reconstruction with convolutional neural networks. D …
Paper Group AWR 41

Paper Group AWR 41

May 7, 2019

An overview of gradient descent optimization algorithms. Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning. Convolutional Sketch Inversion. GuessWhat?! Visual object discovery through multi-modal dialogue. VIBIKNet: Visual Bidirectional Kernelized Network for Visual Question Answering. Dialogue Learni …
Paper Group AWR 43

Paper Group AWR 43

May 7, 2019

A Deep Multi-Level Network for Saliency Prediction. Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation. ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation. Event-based, 6-DOF Camera Tracking from Photometric Depth Maps. VConv-DAE: Dee …
Paper Group AWR 54

Paper Group AWR 54

May 7, 2019

A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal Tract. Face Detection with the Faster R-CNN. Can we still avoid automatic face detection?. Clustering with Confidence: Finding Clusters with Statistical Guarantees. Real-Time Visual Place Recognition for Personal Localization on a Mobile Device. The Spectral Conditio …
Paper Group AWR 60

Paper Group AWR 60

May 7, 2019

Learning Deep Embeddings with Histogram Loss. Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mechanisms for Open-Ended Evolution in Dynamical Systems. Pose-Selective Max Pooling for Measuring Similarity. Learning to learn by gradient descent by gradient descent. Recurrent Memory Array Structures. Minimum Regret Search for …
Paper Group AWR 7

Paper Group AWR 7

May 7, 2019

DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification. Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data. Distributed and parallel time series feature extraction for industrial big data applications. A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. Programming P …
Paper Group AWR 71

Paper Group AWR 71

May 7, 2019

CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples. Context Gates for Neural Machine Translation. Using Fast Weights to Attend to the Recent Past. Dynamic Network Surgery for Efficient DNNs. The Parallel Knowledge Gradient Method for Batch Bayesian Optimization. Controlling Perceptual Factors in Neural Style Transfer. …
Paper Group AWR 73

Paper Group AWR 73

May 7, 2019

Deep neural networks can be improved using human-derived contextual expectations. An Integrated Recommender Algorithm for Rating Prediction. Kronecker Determinantal Point Processes. FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics. $\ell_1$ Adaptive Trend Filter via Fast Coordinate Descent. Hierar …
Paper Group AWR 74

Paper Group AWR 74

May 7, 2019

A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. Deep Reinforcement Learning from Self-Play in Imperfect-Information Games. Feature Importance Measure for Non-linear Learning Algorithms. Learning to Act by Predicting the Future. On a Topic Model for Sentences. Segmentation from Natural Language Expressions. Gradients …
Paper Group AWR 80

Paper Group AWR 80

May 7, 2019

Deep Networks with Stochastic Depth. Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing. Convolutional Radio Modulation Recognition Networks. Confidence driven TGV fusion. Deep Learning without Poor Local Minima. A Power …
Paper Group AWR 89

Paper Group AWR 89

May 7, 2019

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 …
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 ANR 157

Paper Group ANR 157

May 6, 2019

Hierarchical Partitioning of the Output Space in Multi-label Data. Barzilai-Borwein Step Size for Stochastic Gradient Descent. Funnel Libraries for Real-Time Robust Feedback Motion Planning. Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Resu …
Paper Group ANR 169

Paper Group ANR 169

May 6, 2019

Multi Exit Configuration of Mesoscopic Pedestrian Simulation. A General Framework for Describing Creative Agents. Set-Point Regulation of Linear Continuous-Time Systems using Neuromorphic Vision Sensors. Feature extraction using Latent Dirichlet Allocation and Neural Networks: A case study on movie synopses. Asymptotic Optimality in Stochastic Opti …
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 …