Topic Models

Paper Group ANR 102

Paper Group ANR 102

May 7, 2019

Markov models for ocular fixation locations in the presence and absence of colour. PCG-Based Game Design Patterns. Topic Sensitive Neural Headline Generation. Machine Learning Techniques with Ontology for Subjective Answer Evaluation. e-Commerce product classification: our participation at cDiscount 2015 challenge. Minimum cost polygon overlay with …
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 130

Paper Group ANR 130

May 7, 2019

Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases. Very Simple Classifier: a Concept Binary Classifier toInvestigate Features Based on Subsampling and Localility. Scale Normalization. Stride Length Estimation with Deep Learning. B-spline Shape from Motion & Shading: An Automatic Free-form Surface Modeling f …
Paper Group ANR 131

Paper Group ANR 131

May 7, 2019

Hierarchical Memory Networks. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. Ask the GRU: Multi-Task Learning for Deep Text Recommendations. A Machine Learning Nowcasting Method based on Real-time Reanalysis Data. Environmental Noise Embeddings for Robust Speech Recognition. DeepSoft: A vision for a deep model of softwa …
Paper Group ANR 143

Paper Group ANR 143

May 7, 2019

The Complexity of Bayesian Networks Specified by Propositional and Relational Languages. Engineering Safety in Machine Learning. Accelerated Gradient Temporal Difference Learning. Poisson Random Fields for Dynamic Feature Models. Hitting times of local and global optima in genetic algorithms with very high selection pressure. Recovering Multiple No …
Paper Group ANR 150

Paper Group ANR 150

May 7, 2019

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction. Low-rank tensor completion: a Riemannian manifold preconditioning approach. Gambler’s Ruin Bandit Problem. Image-level Classification in Hyperspectral Images using Feature Descriptors, with Application to Face Recognition. How Useful is Region-based Classification of Remote …
Paper Group ANR 50

Paper Group ANR 50

May 7, 2019

Least Ambiguous Set-Valued Classifiers with Bounded Error Levels. An Evaluation of Information Sharing Parking Guidance Policies Using a Bayesian Approach. Challenges of Computational Processing of Code-Switching. Track Extraction with Hidden Reciprocal Chain Models. From Incremental Meaning to Semantic Unit (phrase by phrase). Improving Sparse Rep …
Paper Group ANR 78

Paper Group ANR 78

May 7, 2019

Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. Efficient Nonparametric Smoothness Estimation. Autoencoder-based holographic image restoration. Unsupervised Nonlinear Spectral Unmixing based on a Multilinear Mixing Model. Going Deeper into Action Recognition: A Survey. Efficient Segmental Cascades for Speech Recognition. …
Paper Group AWR 104

Paper Group AWR 104

May 7, 2019

An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics. Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data. Sampling Generative Networks. It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation. Communication-Efficient Learning of Deep Networks from Decentralized Data. Latent Pre …
Paper Group AWR 106

Paper Group AWR 106

May 7, 2019

VisualBackProp: efficient visualization of CNNs. Definition Modeling: Learning to define word embeddings in natural language. Playing FPS Games with Deep Reinforcement Learning. Going Deeper with Contextual CNN for Hyperspectral Image Classification. Nonparametric Spherical Topic Modeling with Word Embeddings. Exploiting sparsity to build efficient …
Paper Group AWR 16

Paper Group AWR 16

May 7, 2019

Asynchronous Temporal Fields for Action Recognition. Iterative Alternating Neural Attention for Machine Reading. Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders. Superpixels: An Evaluation of the State-of-the-Art. End to End Learning for Self-Driving Cars. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5 …
Paper Group AWR 32

Paper Group AWR 32

May 7, 2019

Car Type Recognition with Deep Neural Networks. Learning Covariant Feature Detectors. PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese. Beyond Skip Connections: Top-Down Modulation for Object Detection. Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec. Character-level Convolutiona …
Paper Group AWR 56

Paper Group AWR 56

May 7, 2019

Estimating the Number of Clusters via Normalized Cluster Instability. Inference Networks for Sequential Monte Carlo in Graphical Models. Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence. Image-to-Markup Generation with Coarse-to-Fine Attention. Deep Learning with Eigenvalue Decay Regularizer. Gated-Attention Readers fo …
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 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 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 193

Paper Group ANR 193

May 6, 2019

Analyzing the group sparsity based on the rank minimization methods. How can one sample images with sampling rates close to the theoretical minimum?. Multilingual Modal Sense Classification using a Convolutional Neural Network. Preoperative Volume Determination for Pituitary Adenoma. Computing threshold functions using dendrites. A self-tuning Fire …
Paper Group ANR 214

Paper Group ANR 214

May 6, 2019

Inferring Fine-grained Details on User Activities and Home Location from Social Media: Detecting Drinking-While-Tweeting Patterns in Communities. Video Fill in the Blank with Merging LSTMs. WordNet2Vec: Corpora Agnostic Word Vectorization Method. Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams. Anomaly Detection with the …
Paper Group ANR 223

Paper Group ANR 223

May 6, 2019

Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition. Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge. `Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm …
Paper Group ANR 247

Paper Group ANR 247

May 6, 2019

Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation. Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets. Part-of-Speech Relevance Weights for Learning Word Embeddings. A supermartingale approach to Gaussian process based sequential design of experiments. Query Clustering using Segment Specific Contex …
Paper Group ANR 251

Paper Group ANR 251

May 6, 2019

A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation. Crowdsourcing in Computer Vision. Autonomous Ingress of a UAV through a window using Monocular Vision. The belief noisy-or model applied to network reliability analysis. Transferring Learned Microcalcification Group Detection from 2D Mammography to 3D D …
Paper Group ANR 278

Paper Group ANR 278

May 6, 2019

Choice by Elimination via Deep Neural Networks. RhoanaNet Pipeline: Dense Automatic Neural Annotation. Graph Aggregation. TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs. Surrogate-Assisted Partial Order-based Evolutionary Optimisation. Which Learning Algorithms Can Generalize Identity-Based Rules …
Paper Group ANR 289

Paper Group ANR 289

May 6, 2019

Completely random measures for modeling power laws in sparse graphs. Resolution- and throughput-enhanced spectroscopy using high-throughput computational slit. Question Answering via Integer Programming over Semi-Structured Knowledge. Robust end-to-end deep audiovisual speech recognition. Deep Transfer Learning with Joint Adaptation Networks. Fast …
Paper Group ANR 300

Paper Group ANR 300

May 6, 2019

Tinkering Under the Hood: Interactive Zero-Shot Learning with Net Surgery. Automatic Labelling of Topics with Neural Embeddings. Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis. Decentralized Dynamic Discriminative Dictionary Learning. How Image Degradations Affect Deep CNN-based Face Recognition?. Superpixe …
Paper Group ANR 308

Paper Group ANR 308

May 6, 2019

The observer-assisted method for adjusting hyper-parameters in deep learning algorithms. Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification. Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce. Document Clustering Games in Static and Dynamic Scen …
Paper Group ANR 316

Paper Group ANR 316

May 6, 2019

Accelerating the Super-Resolution Convolutional Neural Network. Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics. Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data. Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty. Recent Advances in Transient Imaging: A Computer …
Paper Group ANR 334

Paper Group ANR 334

May 6, 2019

Scaling up Dynamic Topic Models. Discovering Useful Parts for Pose Estimation in Sparsely Annotated Datasets. Liquid Democracy: An Analysis in Binary Aggregation and Diffusion. Advances in Very Deep Convolutional Neural Networks for LVCSR. Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model. Support Vector Machines and Generalisatio …