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PMLB v1.0: an open source dataset collection for benchmarking machine learning methods
TrangT.Le, WilliamLaCava, JosephD.Romano....
Published date-11/30/2020
Multi-classClassification
PMLB (Penn Machine Learning Benchmark) is an open-source data repository containing a curated collection of datasets for evaluating and comparing machine learning (ML) algorithms. Compiled from a broad range of …
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief
ZhenhuaShi, DongruiWu, ChenfengGuo....
Published date-11/30/2020
Clustering
To effectively optimize Takagi-Sugeno-Kang (TSK) fuzzy systems for regression problems, a mini-batch gradient descent with regularization, DropRule, and AdaBound (MBGD-RDA) algorithm was recently proposed. This paper further proposes FCM-RDpA, which …
General Invertible Transformations for Flow-based Generative Modeling
JakubM.Tomczak....
Published date-11/30/2020
In this paper, we present a new class of invertible transformations. We indicate that many well-known invertible tranformations in reversible logic and reversible neural networks could be derived from our …
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant
JiWonPark, SebastianWagner-Carena, SimonBirrer....
Published date-11/30/2020
We investigate the use of approximate Bayesian neural networks (BNNs) in modeling hundreds of time-delay gravitational lenses for Hubble constant ($H_0$) determination. Our BNN was trained on synthetic HST-quality images …
DUT: Learning Video Stabilization by Simply Watching Unstable Videos
YufeiXu, JingZhang, StephenJ.Maybank....
Published date-11/30/2020
We propose a Deep Unsupervised Trajectory-based stabilization framework (DUT) in this paper. Traditional stabilizers focus on trajectory-based smoothing, which is controllable but fragile in occluded and textureless cases regarding the …
Optimizing the Neural Architecture of Reinforcement Learning Agents
N.Mazyavkina, S.Moustafa, I.Trofimov....
Published date-11/30/2020
NeuralArchitectureSearch
Reinforcement learning (RL) enjoyed significant progress over the last years. One of the most important steps forward was the wide application of neural networks. However, architectures of these neural networks …