
Solving Sokoban with backward reinforcement learning
In some puzzles, the strategy we need to use near the goal can be quite ...
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Explaining in Style: Training a GAN to explain a classifier in StyleSpace
Image classification models can depend on multiple different semantic at...
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MLbased Flood Forecasting: Advances in Scale, Accuracy and Reach
Floods are among the most common and deadly natural disasters in the wor...
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HydroNets: Leveraging River Structure for Hydrologic Modeling
Accurate and scalable hydrologic models are essential building blocks of...
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DNFNet: A Neural Architecture for Tabular Data
A challenging open question in deep learning is how to handle tabular da...
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Normalizing Flow Regression
In this letter we propose a convex approach to learning expressive scala...
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Improved Detection of Adversarial Attacks via Penetration Distortion Maximization
This paper is concerned with the defense of deep models against adversar...
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Spectral Algorithm for Lowrank Multitask Regression
Multitask learning, i.e. taking advantage of the relatedness of individu...
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ML for Flood Forecasting at Scale
Effective riverine flood forecasting at scale is hindered by a multitude...
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Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many
Learning hydrologic models for accurate riverine flood prediction at sca...
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Learning with Rules
Complex classifiers may exhibit "embarassing" failures in cases that wou...
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Scalable Learning of NonDecomposable Objectives
Modern retrieval systems are often driven by an underlying machine learn...
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Learning MaxMargin Tree Predictors
Structured prediction is a powerful framework for coping with joint pred...
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Learning the Dimensionality of Hidden Variables
A serious problem in learning probabilistic models is the presence of hi...
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The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic g...
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"Ideal Parent" Structure Learning for Continuous Variable Networks
In recent years, there is a growing interest in learning Bayesian networ...
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Inferenceless Density Estimation using Copula Bayesian Networks
We consider learning continuous probabilistic graphical models in the fa...
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Gal Elidan
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