12.09.18 "Learning" papers

 

12-07-2018

Improved Knowledge Graph Embedding using Background Taxonomic Information
by Bahare Fatemi et al

12-07-2018

Reaching Data Confidentiality and Model Accountability on the CalTrain
by Zhongshu Gu et al

12-05-2018

Skin Lesions Classification Using Convolutional Neural Networks in Clinical Images
by Danilo Barros Mendes et al

12-05-2018

GADGET SVM: A Gossip-bAseD sub-GradiEnT Solver for Linear SVMs
by Haimonti Dutta et al

12-06-2018

Active Learning Methods based on Statistical Leverage Scores
by Cem Orhan et al

12-06-2018

A dataset of continuous affect annotations and physiological signals for emotion analysis
by Karan Sharma et al

12-06-2018

Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs
by Miguel Lázaro-Gredilla et al

12-05-2018

Regularized Ensembles and Transferability in Adversarial Learning
by Yifan Chen et al

12-06-2018

A new multilayer optical film optimal method based on deep q-learning
by Anqing Jiang et al

12-10-2018

Machine Learning-based Link Fault Identification and Localization in Complex Networks
by Srinikethan Madapuzi Srinivasan et al

12-05-2018

Low-Complexity Data-Parallel Earth Movers Distance Approximations
by Kubilay Atasu et al

12-07-2018

A Hybrid Approach to Privacy-Preserving Federated Learning
by Stacey Truex et al

12-08-2018

Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks
by Cheng Cheng et al

12-05-2018

Model Compression with Generative Adversarial Networks
by Ruishan Liu et al

12-05-2018

Generalizability of predictive models for intensive care unit patients
by Alistair E. W. Johnson et al

12-05-2018

Differentially Private Data Generative Models
by Qingrong Chen et al

12-06-2018

Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
by Craig Atkinson et al

12-07-2018

Asynchronous Training of Word Embeddings for Large Text Corpora
by Avishek Anand et al

12-06-2018

Cyber Anomaly Detection Using Graph-node Role-dynamics
by Anthony Palladino et al

12-06-2018

Adversarial Transfer Learning
by Garrett Wilson et al

12-06-2018

Towards Hiding Adversarial Examples from Network Interpretation
by Akshayvarun Subramanya et al

12-06-2018

ββ-VAEs can retain label information even at high compression
by Emily Fertig et al

12-09-2018

A note on solving nonlinear optimization problems in variable precision
by S. Gratton et al

12-07-2018

Counterfactuals uncover the modular structure of deep generative models
by Michel Besserve et al

12-05-2018

An empirical study on hyperparameter tuning of decision trees
by Rafael Gomes Mantovani et al

12-06-2018

Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection
by Xueqiang Zeng et al

12-06-2018

Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction
by Gang Luo

12-06-2018

Feature Analysis for Assessing the Quality of Wikipedia Articles through Supervised Classification
by Elias Bassani et al

12-05-2018

Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction
by Jonathan J Hunt et al

12-06-2018

Zero-Shot Anticipation for Instructional Activities
by Fadime Sener et al

12-07-2018

A biconvex analysis for Lasso l1 reweighting
by Sophie M. Fosson

12-06-2018

Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning
by Kaiqing Zhang et al

12-10-2018

Learning Embedding Adaptation for Few-Shot Learning
by Han-Jia Ye et al

12-09-2018

Theory of Curriculum Learning, with Convex Loss Functions
by Daphna Weinshall et al

12-09-2018

q-means: A quantum algorithm for unsupervised machine learning
by Iordanis Kerenidis et al

12-09-2018

Closed-form Inference and Prediction in Gaussian Process State-Space Models
by Alessandro Davide Ialongo et al

12-05-2018

Predicting pregnancy using large-scale data from a womens health tracking mobile application
by Bo Liu et al

12-05-2018

Adapting Auxiliary Losses Using Gradient Similarity
by Yunshu Du et al

12-06-2018

On the stability analysis of optimal state feedbacks as represented by deep neural models
by Dario Izzo et al

12-07-2018

Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models
by Marouan Belhaj et al

12-07-2018

Time Series Featurization via Topological Data Analysis: an Application to Cryptocurrency Trend Forecasting
by Kwangho Kim et al

12-05-2018

Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering
by Jielei Chu et al

12-09-2018

A matching based clustering algorithm for categorical data
by Ruben A. Gevorgyan et al

12-09-2018

Towards Neural Network Patching: Evaluating Engagement-Layers and Patch-Architectures
by Sebastian Kauschke et al

12-06-2018

missIWAE: Deep Generative Modelling and Imputation of Incomplete Data
by Pierre-Alexandre Mattei et al

12-09-2018

Fast convergence rates of deep neural networks for classification
by Yongdai Kim et al

12-05-2018

Towards a Definition of Disentangled Representations
by Irina Higgins et al

12-07-2018

On Batch Orthogonalization Layers
by Blanchette et al

12-08-2018

Sampling-based Bayesian Inference with gradient uncertainty
by Chanwoo Park et al

12-06-2018

Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis
by Hao-Ting Wang et al

12-06-2018

dynnode2vec: Scalable Dynamic Network Embedding
by Sedigheh Mahdavi et al

12-05-2018

On Configurable Defense against Adversarial Example Attacks
by Bo Luo et al

12-05-2018

Learning to Design Circuits
by Hanrui Wang et al

12-10-2018

Non-Intrusive Load Monitoring with Fully Convolutional Networks
by Cillian Brewitt et al

12-06-2018

Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training
by Saurabh Adya et al

12-06-2018

Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps
by Takayuki Katsuki et al

12-05-2018

Blockchain Enabled Trustless API Marketplace
by Vijay Arya et al

12-07-2018

The particle track reconstruction based on deep learning neural networks
by Dmitriy Baranov et al

12-06-2018

Three Tools for Practical Differential Privacy
by Koen Lennart van der Veen et al

12-10-2018

Learning Representations of Sets through Optimized Permutations
by Yan Zhang et al

12-07-2018

From Fair Decision Making to Social Equality
by Hussein Mouzannar et al

12-07-2018

LNEMLC: Label Network Embeddings for Multi-Label Classifiation
by Piotr Szymański et al

12-05-2018

Robust Ordinal Embedding from Contaminated Relative Comparisons
by Ke Ma et al

12-09-2018

Applying Nature-Inspired Optimization Algorithms for Selecting Important Timestamps to Reduce Time Series Dimensionality
by Muhammad Marwan Muhammad Fuad

12-05-2018

Unlabeled sample compression schemes and corner peelings for ample and maximum classes
by Jérémie Chalopin et al

12-06-2018

A two-stage hybrid model by using artificial neural networks as feature construction algorithms
by Yan Wang et al

12-06-2018

Elastic Gossip: Distributing Neural Network Training Using Gossip-like Protocols
by Siddharth Pramod

12-07-2018

ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search
by Kevin Alexander Laube et al

12-10-2018

Ramp-based Twin Support Vector Clustering
by Zhen Wang et al

12-10-2018

Can we learn where people go?
by Marion Gödel et al

12-05-2018

The effects of negative adaptation in Model-Agnostic Meta-Learning
by Tristan Deleu et al

12-06-2018

Prior Networks for Detection of Adversarial Attacks
by Andrey Malinin et al

12-06-2018

DNQ: Dynamic Network Quantization
by Yuhui Xu et al

12-05-2018

DropPruning for Model Compression
by Haipeng Jia et al

12-10-2018

Model-Based Learning of Turbulent Flows using Mobile Robots
by Reza Khodayi-mehr et al

12-07-2018

Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data
by Xue Wang et al

12-08-2018

Zero Initialization of modified Gated Recurrent Encoder-Decoder Network for Short Term Load Forecasting
by Vedanshu et al

12-08-2018

Learning Graph Representation via Formal Concept Analysis
by Yuka Yoneda et al

12-05-2018

End-to-end contextual speech recognition using class language models and a token passing decoder
by Zhehuai Chen et al

12-08-2018

Efficient transfer learning and online adaptation with latent variable models for continuous control
by Christian F. Perez et al

12-07-2018

Quantum algorithms for feedforward neural networks
by Jonathan Allcock et al

12-07-2018

Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach
by Rajeev Sahay et al

12-08-2018

AutoGAN: Robust Classifier Against Adversarial Attacks
by Blerta Lindqvist et al

12-06-2018

Singular Values for ReLU Layers
by Sören Dittmer et al

12-07-2018

Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks
by Amir Moradibaad et al

12-08-2018

Weighted Risk Minimization & Deep Learning
by Jonathon Byrd et al

12-10-2018

An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles
by Hadi Abdi Khojasteh et al

12-06-2018

Disjoint Label Space Transfer Learning with Common Factorised Space
by Xiaobin Chang et al

12-07-2018

When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method
by Xiu Yang et al

12-05-2018

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
by Ke Ma et al

12-08-2018

Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
by Xiaoyong Yuan et al

12-06-2018

Learning Implicit Fields for Generative Shape Modeling
by Zhiqin Chen et al

12-08-2018

Binary Input Layer: Training of CNN models with binary input data
by Robert Dürichen et al

12-08-2018

Learning Multiplication-free Linear Transformations
by Cristian Rusu

12-10-2018

Regularization by architecture: A deep prior approach for inverse problems
by Sören Dittmer et al

12-05-2018

Adversarially Learned Anomaly Detection
by Houssam Zenati et al

12-07-2018

METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis
by Kabir Manghnani et al

12-06-2018

Embedding-reparameterization procedure for manifold-valued latent variables in generative models
by Eugene Golikov et al

12-10-2018

Disentangled Dynamic Representations from Unordered Data
by Leonhard Helminger et al

12-10-2018

Guided Dropout
by Rohit Keshari et al

12-06-2018

Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
by Taylor Denouden et al

12-06-2018

Modelling Identity Rules with Neural Networks
by Tillman Weyde et al

12-06-2018

Applied Federated Learning: Improving Google Keyboard Query Suggestions
by Timothy Yang et al

12-10-2018

Building Ethically Bounded AI
by Francesca Rossi et al

12-10-2018

Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
by Sanjeev Arora et al

12-05-2018

ADARES: Adaptive Resource Management for Virtual Machines
by Ignacio Cano et al

12-06-2018

Disentangling Disentanglement
by Emile Mathieu et al

12-05-2018

Knowledge Distillation from Few Samples
by Tianhong Li et al

12-05-2018

RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets
by Yaling Tao et al

12-07-2018

Deep-RBF Networks Revisited: Robust Classification with Rejection
by Pourya Habib Zadeh et al

12-05-2018

Quantifying Generalization in Reinforcement Learning
by Karl Cobbe et al

12-08-2018

Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process
by Jeremiah Zhe Liu et al

12-10-2018

Bayesian Layers: A Module for Neural Network Uncertainty
by Dustin Tran et al

12-07-2018

Local Distribution in Neighborhood for Classification
by Chengsheng Mao et al

12-06-2018

Verification of deep probabilistic models
by Krishnamurthy Dvijotham et al

12-05-2018

Layer Flexible Adaptive Computational Time for Recurrent Neural Networks
by Lida Zhang et al

12-05-2018

Efficient and Robust Machine Learning for Real-World Systems
by Franz Pernkopf et al

12-06-2018

Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training
by Gavin Weiguang Ding et al

12-10-2018

Taxi Demand-Supply Forecasting: Impact of Spatial Partitioning on the Performance of Neural Networks
by Neema Davis et al

12-06-2018

Tri-axial Self-Attention for Concurrent Activity Recognition
by Yanyi Zhang et al

12-06-2018

Light Propagation Prediction through Multimode Optical Fibers with a Deep Neural Network
by Pengfei Fan et al

12-05-2018

Relative concentration bounds for the kernel matrix spectrum
by Ernesto Araya Valdivia

12-09-2018

Physics-informed deep generative models
by Yibo Yang et al

12-07-2018

Residual Reinforcement Learning for Robot Control
by Tobias Johannink et al

12-07-2018

Synthetic Dynamic PMU Data Generation: A Generative Adversarial Network Approach
by Xiangtian Zheng et al

12-07-2018

Harmonic Networks: Integrating Spectral Information into CNNs
by Matej Ulicny et al

12-08-2018

Secure Federated Transfer Learning
by Yang Liu et al

12-05-2018

Relative Entropy Regularized Policy Iteration
by Abbas Abdolmaleki et al

12-06-2018

Deep Reinforcement Learning and the Deadly Triad
by Hado van Hasselt et al

12-06-2018

Pathological Evidence Exploration in Deep Retinal Image Diagnosis
by Yuhao Niu et al

12-06-2018

Generation of Synthetic Electronic Medical Record Text
by Jiaqi Guan et al

12-06-2018

Measuring and Characterizing Generalization in Deep Reinforcement Learning
by Sam Witty et al

12-05-2018

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
by Abdullah Hamdi et al

12-05-2018

HEVC Inter Coding Using Deep Recurrent Neural Networks and Artificial Reference Pictures
by Felix Haub et al

 
Craig Smith