03.10.19 Learning papers

 

03-11-2019

Deep learning for molecular generation and optimization - a review of the state of the art
by Daniel C. Elton et al

03-08-2019

Support and Invertibility in Domain-Invariant Representations
by Fredrik D. Johansson et al

03-11-2019

Manipulation by Feel: Touch-Based Control with Deep Predictive Models
by Stephen Tian et al

03-07-2019

Only sparsity based loss function for learning representations
by Vivek Bakaraju et al

03-08-2019

Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
by Wenqi Shi et al

03-07-2019

Active learning for enumerating local minima based on Gaussian process derivatives
by Yu Inatsu et al

03-07-2019

Quantum Latent Semantic Analysis
by Fabio A. González et al

03-10-2019

Algorithms for an Efficient Tensor Biclustering
by Andriantsiory Dina Faneva et al

03-09-2019

Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer
by Ashkan Panahi et al

03-08-2019

Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions
by Malik Tiomoko et al

03-06-2019

Explaining Anomalies Detected by Autoencoders Using SHAP
by Liat Antwarg et al

03-07-2019

Characterization of Posidonia Oceanica Seagrass Aerenchyma through Whole Slide Imaging: A Pilot Study
by Olivier Debeir et al

03-07-2019

Efficient and Effective Quantization for Sparse DNNs
by Yiren Zhao et al

03-09-2019

Fair Logistic Regression: An Adversarial Perspective
by Ashkan Rezaei et al

03-10-2019

Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
by Chun Kai Ling et al

03-07-2019

Dynamic Anonymized Evaluation for Behavioral Continuous Authentication
by Rasana Manandhar et al

03-07-2019

The Variational Predictive Natural Gradient
by Da Tang et al

03-07-2019

Analysis Dictionary Learning: An Efficient and Discriminative Solution
by Wen Tang et al

03-09-2019

Manifold Preserving Adversarial Learning
by Ousmane Amadou Dia et al

03-11-2019

Physics Enhanced Artificial Intelligence
by Patrick O'Driscoll et al

03-11-2019

Shapley regressions: A framework for statistical inference on machine learning models
by Andreas Joseph

03-07-2019

SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems
by Beidi Chen et al

03-06-2019

Adversarial Mixup Resynthesizers
by Christopher Beckham et al

03-07-2019

Deep Learning for Channel Coding via Neural Mutual Information Estimation
by Rick Fritschek et al

03-07-2019

Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games
by Xinliang Song et al

03-07-2019

When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies
by Krzysztof Choromanski et al

03-10-2019

Asynchronous Federated Optimization
by Cong Xie et al

03-10-2019

Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
by Cong Xie et al

03-08-2019

Learning Heuristics over Large Graphs via Deep Reinforcement Learning
by Akash Mittal et al

03-08-2019

Is Deeper Better only when Shallow is Good?
by Eran Malach et al

03-11-2019

Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns
by Ali Taylan Cemgil et al

03-11-2019

Revisiting clustering as matrix factorisation on the Stiefel manifold
by Stéphane Chrétien et al

03-06-2019

A Clustering-Based Combinatorial Approach to Unsupervised Matching of Product Titles
by Leonidas Akritidis et al

03-06-2019

Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation
by Jiameng Fan et al

03-08-2019

Do we still need fuzzy classifiers for Small Data in the Era of Big Data?
by Mikel Elkano et al

03-11-2019

Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft
by Clément Romac et al

03-09-2019

Successive Over Relaxation Q-Learning
by Chandramouli Kamanchi et al

03-10-2019

Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative
by Satyananda Kashyap et al

03-10-2019

Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative
by Satyananda Kashyap et al

03-06-2019

Proving the NP-completeness of optimal moral graph triangulation
by Yang Li et al

03-06-2019

Neural Empirical Bayes
by Saeed Saremi et al

03-08-2019

Low-Rank Tensor Completion via Tensor Ring with Balanced Unfolding
by Huyan Huang et al

03-07-2019

MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments
by Kenny Young et al

03-07-2019

Phase-aware Speech Enhancement with Deep Complex U-Net
by Hyeong-Seok Choi et al

03-08-2019

Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold
by Sandesh Adhikary et al

03-06-2019

Positively Scale-Invariant Flatness of ReLU Neural Networks
by Mingyang Yi et al

03-09-2019

Orthogonal Estimation of Wasserstein Distances
by Mark Rowland et al

03-06-2019

Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction
by Matteo Maggiolo et al

03-06-2019

Relational Pooling for Graph Representations
by Ryan L. Murphy et al

03-07-2019

Interpretable Deep Learning in Drug Discovery
by Kristina Preuer et al

03-07-2019

Doubly Aligned Incomplete Multi-view Clustering
by Menglei Hu et al

03-11-2019

Accuracy Booster: Performance Boosting using Feature Map Re-calibration
by Pravendra Singh et al

03-08-2019

Should we Reload Time Series Classification Performance Evaluation ? (a position paper)
by Dominique Gay et al

03-07-2019

Deep CNN-based Multi-task Learning for Open-Set Recognition
by Poojan Oza et al

03-09-2019

Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Methods
by Shangsheng Xie et al

03-07-2019

Auto-Vectorizing TensorFlow Graphs: Jacobians, Auto-Batching And Beyond
by Ashish Agarwal et al

03-07-2019

Transfer Learning Using Ensemble Neural Nets for Organic Solar Cell Screening
by Arindam Paul et al

03-09-2019

A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks
by Bin Wang et al

03-06-2019

Learning from Higher-Layer Feature Visualizations
by Konstantinos Nikolaidis et al

03-06-2019

GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier
by Alexandre Gariépy et al

03-08-2019

Rates of Convergence for Sparse Variational Gaussian Process Regression
by David R. Burt et al

03-07-2019

Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network
by Niklas Christoffer Petersen et al

03-08-2019

Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter
by Zakaria El Mrabet et al

03-11-2019

Automated Circuit Approximation Method Driven by Data Distribution
by Zdenek Vasicek et al

03-09-2019

Machine Learning Based Prediction and Classification of Computational Jobs in Cloud Computing Centers
by Zheqi Zhu et al

03-09-2019

Two-Hop Walks Indicate PageRank Order
by Ying Tang

03-06-2019

Learning multimodal representations for sample-efficient recognition of human actions
by Miguel Vasco et al

03-07-2019

Detection of Advanced Malware by Machine Learning Techniques
by Sanjay Sharma et al

03-08-2019

Everything old is new again: A multi-view learning approach to learning using privileged information and distillation
by Weiran Wang

03-08-2019

RoPAD: Robust Presentation Attack Detection through Unsupervised Adversarial Invariance
by Ayush Jaiswal et al

03-08-2019

Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning
by Babak Hosseini et al

03-11-2019

Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
by Denis Steckelmacher et al

03-11-2019

A cross-center smoothness prior for variational Bayesian brain tissue segmentation
by Wouter M. Kouw et al

03-07-2019

Multi-Hot Compact Network Embedding
by Chaozhuo Li et al

03-09-2019

Robust Influence Maximization for Hyperparametric Models
by Dimitris Kalimeris et al

03-06-2019

Deep Random Splines for Point Process Intensity Estimation
by Gabriel Loaiza-Ganem et al

03-10-2019

Uncertainty Propagation in Deep Neural Network Using Active Subspace
by Weiqi Ji et al

03-10-2019

Sparse Grouped Gaussian Processes for Solar Power Forecasting
by Astrid Dahl et al

03-08-2019

Inductive Transfer for Neural Architecture Optimization
by Martin Wistuba et al

03-07-2019

Limiting Network Size within Finite Bounds for Optimization
by Linu Pinto et al

03-08-2019

Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes
by Hirak J Kashyap et al

03-07-2019

Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data
by Yiming Xu et al

03-08-2019

Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning
by Xiaobai Ma et al

03-10-2019

Optimal Collusion-Free Teaching
by David Kirkpatrick et al

03-10-2019

β3β3-IRT: A New Item Response Model and its Applications
by Yu Chen et al

03-08-2019

Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network
by Wei Shao et al

03-07-2019

Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices
by Kouhei Sekiguchi et al

03-10-2019

Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness
by Yiming Li et al

03-11-2019

Scaling up deep neural networks: a capacity allocation perspective
by Jonathan Donier

03-07-2019

On Transformations in Stochastic Gradient MCMC
by Soma Yokoi et al

03-08-2019

Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning
by Zeke Wang et al

03-11-2019

An Innovative Word Encoding Method For Text Classification Using Convolutional Neural Network
by Amr Adel Helmy et al

03-08-2019

Adaptive Power System Emergency Control using Deep Reinforcement Learning
by Qiuhua Huang et al

03-08-2019

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
by Weizhi Ma et al

03-07-2019

Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
by Matthew MacKay et al

03-09-2019

Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes
by Xubo Yue et al

03-07-2019

Out-domain examples for generative models
by Dario Pasquini et al

03-06-2019

Detecting Overfitting via Adversarial Examples
by Roman Werpachowski et al

03-08-2019

Linear Bandits with Feature Feedback
by Urvashi Oswal et al

03-07-2019

General Convolutional Sparse Coding with Unknown Noise
by Yaqing Wang et al

03-06-2019

Fast Parallel Algorithms for Feature Selection
by Sharon Qian et al

03-06-2019

Learning Graphs from Noisy Epidemic Cascades
by Jessica Hoffmann et al

03-07-2019

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
by Eleni Triantafillou et al

03-09-2019

GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks
by Rex Ying et al

03-09-2019

Non-Negative Kernel Sparse Coding for the Classification of Motion Data
by Babak Hosseini et al

03-08-2019

Learning Self-Game-Play Agents for Combinatorial Optimization Problems
by Ruiyang Xu et al

03-11-2019

Fisher-Bures Adversary Graph Convolutional Networks
by Ke Sun et al

03-09-2019

Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data
by Seokhyun Chung et al

03-09-2019

A tractable ellipsoidal approximation for voltage regulation problems
by Pan Li et al

03-06-2019

Orthogonal Structure Search for Efficient Causal Discovery from Observational Data
by Anant Raj et al

03-11-2019

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
by Pravendra Singh et al

03-10-2019

Likelihood-free MCMC with Approximate Likelihood Ratios
by Joeri Hermans et al

03-06-2019

Fast Graph Representation Learning with PyTorch Geometric
by Matthias Fey et al

03-06-2019

Using World Models for Pseudo-Rehearsal in Continual Learning
by Nicholas Ketz et al

03-07-2019

RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems
by Ekaterina Abramova et al

03-06-2019

A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder
by Adrián Javaloy Bornás et al

03-11-2019

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
by Anees Kazi et al

03-11-2019

Singing voice conversion with non-parallel data
by Xin Chen et al

03-07-2019

Based on Graph-VAE Model to Predict Students Score
by Yang Zhang et al

03-10-2019

One-Pass Sparsified Gaussian Mixtures
by Eric Kightley et al

03-10-2019

Affordance Learning for End-to-End Visuomotor Robot Control
by Aleksi Hämäläinen et al

 
Craig Smith