11132018

Garbage In, Reward Out: Bootstrapping Exploration in
MultiArmed Bandits
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Branislav Kveton
et al

11132018

Recurrent MultiGraph Neural Networks for Travel Cost
Prediction
by
Jilin Hu
et al

11142018

Humanlike machine learning: limitations and
suggestions
by
Georgios Mastorakis

11142018

Machine Learning for Combinatorial Optimization: a
Methodological Tour dHorizon
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Yoshua Bengio
et al

11142018

DropActivation: Implicit Parameter Reduction and
Harmonic Regularization
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Senwei Liang
et al

11142018

Composing Modeling and Inference Operations with
Probabilistic Program Combinators
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Eli Sennesh
et al

11132018

Sorting out Lipschitz function approximation
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Cem Anil
et al

11132018

CoRepresentation Learning For Classification and Novel
Class Detection via Deep Networks
by
Zhuoyi Wang
et al

11152018

A Spectral View of Adversarially Robust Features
by
Shivam Garg
et al

11152018

Unconstrained Submodular Maximization with Constant
Adaptive Complexity
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Lin Chen
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11132018

Neural Wavetable: a playable wavetable synthesizer
using neural networks
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Lamtharn Hantrakul
et al

11142018

PureExploration for InfiniteArmed Bandits with
General Arm Reservoirs
by
Maryam Aziz
et al

11142018

Realtime Power System State Estimation and Forecasting
via Deep Neural Networks
by
Liang Zhang
et al

11142018

Concept Learning through Deep Reinforcement Learning
with MemoryAugmented Neural Networks
by
Jing Shi
et al

11142018

Unsupervised learning with contrastive latent variable
models
by
Kristen Severson
et al

11142018

Jointly Learning to Label Sentences and Tokens
by
Marek Rei
et al

11142018

Revisiting ProjectionFree Optimization for Strongly
Convex Constraint Sets
by
Jarrid RectorBrooks
et al

11132018

Extractive Summary as Discrete Latent Variables
by
Aran Komatsuzaki

11152018

Adversarial Examples from Cryptographic PseudoRandom
Generators
by
Sébastien Bubeck
et al

11132018

SepNE: Bringing Separability to Network Embedding
by
Ziyao Li
et al

11142018

Learning Optimal Personalized Treatment Rules Using
Robust Regression Informed KNN
by
Ruidi Chen
et al

11142018

Constraintbased Sequential Pattern Mining with
Decision Diagrams
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Amin Hosseininasab
et al

11162018

On the Complexity of Exploration in GoalDriven
Navigation
by
Maruan AlShedivat
et al

11162018

A generalized metaloss function for distillation and
learning using privileged information for
classification and regression
by
Amina Asif
et al

11152018

ContextDependent UpperConfidence Bounds for Directed
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Raksha Kumaraswamy
et al

11142018

A LearningBased Framework for LineSpectra
Superresolution
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Gautier Izacard
et al

11162018

An Algorithmic Perspective on Imitation Learning
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Takayuki Osa
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11132018

Coregularized Alignment for Unsupervised Domain
Adaptation
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Abhishek Kumar
et al

11142018

Probabilistic Random Forest: A machine learning
algorithm for noisy datasets
by
Itamar Reis
et al

11132018

Anomaly Detection using Autoencoders in High
Performance Computing Systems
by
Andrea Borghesi
et al

11132018

A conjugate prior for the Dirichlet distribution
by
JeanMarc Andreoli

11152018

Neural Predictive Belief Representations
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Zhaohan Daniel Guo
et al

11142018

Predicting the timeevolution of multiphysics systems
with sequencetosequence models
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K. D. Humbird
et al

11132018

Semidual Regularized Optimal Transport
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Marco Cuturi
et al

11132018

Deep Q learning for fooling neural networks
by
Mandar Kulkarni

11162018

Entropyregularized Optimal Transport Generative Models
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Dong Liu
et al

11132018

SAFE: SelfAttentive Function Embeddings for Binary
Similarity
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Luca Massarelli
et al

11132018

An Orchestrated Empirical Study on Deep Learning
Frameworks and Platforms
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Qianyu Guo
et al

11132018

A New SVDDBased Multivariate Nonparametric Process
Capability Index
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Deovrat Kakde
et al

11152018

ShortTerm WindSpeed Forecasting Using Kernel Spectral
Hidden Markov Models
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Shunsuke Tsuzuki
et al

11142018

Leveraging Financial News for Stock Trend Prediction
with AttentionBased Recurrent Neural Network
by
Huicheng Liu

11152018

Theoretical Perspective of Deep Domain Adaptation
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Trung Le
et al

11142018

Pitfalls of Graph Neural Network Evaluation
by
Oleksandr Shchur
et al

11142018

Largescale Interactive Recommendation with
Treestructured Policy Gradient
by
Haokun Chen
et al

11132018

Evaluating GANs via Duality
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Paulina Grnarova
et al

11162018

A Novel Approach to Sparse Inverse Covariance
Estimation Using Transform Domain Updates and
Exponentially Adaptive Thresholding
by
Ashkan Esmaeili
et al

11132018

Towards Neural Machine Translation for African
Languages
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Jade Z. Abbott
et al

11132018

Fewshot Learning for Named Entity Recognition in
Medical Text
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Maximilian Hofer
et al

11132018

Modular Networks: Learning to Decompose Neural
Computation
by
Louis Kirsch
et al

11132018

An Online Attentionbased Model for Speech Recognition
by
Ruchao Fan
et al

11132018

A Multilayer LSTMbased Approach for Robot Command
Interaction Modeling
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Martino Mensio
et al

11142018

Dropping Symmetry for Fast Symmetric Nonnegative Matrix
Factorization
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Zhihui Zhu
et al

11152018

Tight Bayesian Ambiguity Sets for Robust MDPs
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Reazul Hasan Russel
et al

11152018

Spatiotemporal Stacked LSTM for Temperature Prediction
in Weather Forecasting
by
Zahra Karevan
et al

11152018

Physical Signal Classification Via Deep Neural Networks
by
Benjamin Epstein
et al

11152018

The Trace Criterion for Kernel Bandwidth Selection for
Support Vector Data Description
by
Arin Chaudhuri
et al

11162018

nndependabilitykit: Engineering Neural Networks for
SafetyCritical Systems
by
ChihHong Cheng
et al

11132018

MLNet: multilabel classification of biomedical texts
with deep neural networks
by
Jingcheng Du
et al

11162018

Subtask Gated Networks for NonIntrusive Load
Monitoring
by
Changho Shin
et al

11142018

Sample complexity of partition identification using
multiarmed bandits
by
Sandeep Juneja
et al
