arXiv is an e-print service in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance and statistics.

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Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum and Shixiang Gu and Honglak Lee and Sergey Levine
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by Felipe Martins 4 weeks ago
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Recurrent World Models Facilitate Policy Evolution
David Ha and Jürgen Schmidhuber
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Paul Barde 2 months ago
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Summary by CodyWild 5 months ago
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Low Frequency Adversarial Perturbation
Chuan Guo and Jared S. Frank and Kilian Q. Weinberger
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV

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Summary by David Stutz 6 months ago
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Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak and Yasaman Bahri and Daniel A. Abolafia and Jeffrey Pennington and Jascha Sohl-Dickstein
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.AI, cs.LG, cs.NE

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Summary by David Stutz 6 months ago
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Group Normalization
Yuxin Wu and Kaiming He
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, cs.LG

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Summary by David Stutz 6 months ago
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Taming VAEs
Danilo Jimenez Rezende and Fabio Viola
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by Gavin Gray 7 months ago
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Progress & Compress: A scalable framework for continual learning
Jonathan Schwarz and Jelena Luketina and Wojciech M. Czarnecki and Agnieszka Grabska-Barwinska and Yee Whye Teh and Razvan Pascanu and Raia Hadsell
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by devin132 9 months ago
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19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology
Mathieu Fourment and Andrew F. Magee and Chris Whidden and Arman Bilge and Frederick A. Matsen IV and Vladimir N. Minin
arXiv e-Print archive - 2018 via Local arXiv
Keywords: q-bio.PE, stat.CO

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Summary by Gavin Gray 9 months ago
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Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Runjing Liu and Jeffrey Regier and Nilesh Tripuraneni and Michael I. Jordan and Jon McAuliffe
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by Gavin Gray 10 months ago
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WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
Hyunsun Choi and Eric Jang and Alexander A. Alemi
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by Massimo Caccia 1 year ago
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Summary by jerpint 1 year ago
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Summary by Hadrien Bertrand 1 year ago
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Summary by David Stutz 1 year ago
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Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lecuyer and Vaggelis Atlidakis and Roxana Geambasu and Daniel Hsu and Suman Jana
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.AI, cs.CR, cs.LG

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Summary by David Stutz 1 year ago
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On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Sven Gowal and Krishnamurthy Dvijotham and Robert Stanforth and Rudy Bunel and Chongli Qin and Jonathan Uesato and Relja Arandjelovic and Timothy Mann and Pushmeet Kohli
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Neural Networks with Structural Resistance to Adversarial Attacks
Luca de Alfaro
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.CR, cs.LG, cs.NE

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Summary by David Stutz 1 year ago
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On the importance of single directions for generalization
Ari S. Morcos and David G. T. Barrett and Neil C. Rabinowitz and Matthew Botvinick
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.AI, cs.LG, cs.NE

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Summary by David Stutz 1 year ago
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Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie and Zhishuai Zhang and Yuyin Zhou and Song Bai and Jianyu Wang and Zhou Ren and Alan Yuille
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, cs.LG, stat.ML

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Summary by David Stutz 1 year ago
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Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu and Michael Tao and Chun-Liang Li and Derek Nowrouzezahrai and Alec Jacobson
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CV, cs.GR, stat.ML

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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas and Logan Engstrom and Anish Athalye and Jessy Lin
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, cs.CR, stat.ML

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Summary by David Stutz 1 year ago
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On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks
Ambra Demontis and Marco Melis and Maura Pintor and Matthew Jagielski and Battista Biggio and Alina Oprea and Cristina Nita-Rotaru and Fabio Roli
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML, 68T10, 68T45

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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Playing the Game of Universal Adversarial Perturbations
Julien Perolat and Mateusz Malinowski and Bilal Piot and Olivier Pietquin
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CV, stat.ML

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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Towards the first adversarially robust neural network model on MNIST
Lukas Schott and Jonas Rauber and Matthias Bethge and Wieland Brendel
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV

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Summary by David Stutz 1 year ago
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Adversarial Training Versus Weight Decay
Angus Galloway and Thomas Tanay and Graham W. Taylor
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by David Stutz 1 year ago
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Unsupervised Learning via Meta-Learning
Kyle Hsu and Sergey Levine and Chelsea Finn
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CV, stat.ML

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Summary by Joseph Paul Cohen 1 year ago
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Summary by Joseph Paul Cohen 1 year ago
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Explaining Image Classifiers by Counterfactual Generation
Chun-Hao Chang and Elliot Creager and Anna Goldenberg and David Duvenaud
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV

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Summary by CodyWild 1 year ago
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Summary by CodyWild 1 year ago
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Meta-Learning Update Rules for Unsupervised Representation Learning
Luke Metz and Niru Maheswaranathan and Brian Cheung and Jascha Sohl-Dickstein
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.NE, stat.ML

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Summary by CodyWild 1 year ago
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Summary by CodyWild 1 year ago
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Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau and Shikhar Murty and Michael Noukhovitch and Thien Huu Nguyen and Harm de Vries and Aaron Courville
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CL, cs.AI

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Summary by Joseph Paul Cohen 1 year ago
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Summary by CodyWild 1 year ago
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Effective Ways to Build and Evaluate Individual Survival Distributions
Humza Haider and Bret Hoehn and Sarah Davis and Russell Greiner
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Joseph Paul Cohen 1 year ago
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Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Nicolas Papernot and Patrick McDaniel
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by David Stutz 1 year ago
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Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
Bo Luo and Yannan Liu and Lingxiao Wei and Qiang Xu
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Summary by David Stutz 1 year ago
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Improving MMD-GAN Training with Repulsive Loss Function
Wei Wang and Yuan Sun and Saman Halgamuge
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CV, stat.ML

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Summary by richard_wth 1 year ago
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Summary by ameroyer 1 year ago
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Data Augmentation for Skin Lesion Analysis
Fábio Perez and Cristina Vasconcelos and Sandra Avila and Eduardo Valle
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV

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Summary by Fábio Perez 1 year ago
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Investigating Human Priors for Playing Video Games
Rachit Dubey and Pulkit Agrawal and Deepak Pathak and Thomas L. Griffiths and Alexei A. Efros
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.AI, cs.LG

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Summary by Fábio Perez 1 year ago
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Neural Ordinary Differential Equations
Ricky T. Q. Chen and Yulia Rubanova and Jesse Bettencourt and David Duvenaud
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by wassname 1 year ago
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Do Deep Generative Models Know What They Don't Know?
Eric Nalisnick and Akihiro Matsukawa and Yee Whye Teh and Dilan Gorur and Balaji Lakshminarayanan
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by ameroyer 1 year ago
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Learning Confidence for Out-of-Distribution Detection in Neural Networks
Terrance DeVries and Graham W. Taylor
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by elbaro 1 year ago
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Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
Supasorn Suwajanakorn and Noah Snavely and Jonathan Tompson and Mohammad Norouzi
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, cs.LG, stat.ML

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Summary by Krishna Murthy 1 year ago
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Learning Latent Dynamics for Planning from Pixels
Danijar Hafner and Timothy Lillicrap and Ian Fischer and Ruben Villegas and David Ha and Honglak Lee and James Davidson
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by wassname 1 year ago
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Gradient Reversal Against Discrimination
Edward Raff and Jared Sylvester
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.AI, cs.LG

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Summary by ameroyer 1 year ago
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BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
Tianwei Lin and Xu Zhao and Haisheng Su and Chongjing Wang and Ming Yang
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV

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Summary by shiyu 1 year ago
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Relational Forward Models for Multi-Agent Learning
Andrea Tacchetti and H. Francis Song and Pedro A. M. Mediano and Vinicius Zambaldi and Neil C. Rabinowitz and Thore Graepel and Matthew Botvinick and Peter W. Battaglia
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.MA, stat.ML

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Summary by CodyWild 1 year ago
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Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing and Theophane Weber and Yori Zwols and Sebastien Racaniere and Arthur Guez and Jean-Baptiste Lespiau and Nicolas Heess
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by CodyWild 1 year ago
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Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference
Matthew Riemer and Ignacio Cases and Robert Ajemian and Miao Liu and Irina Rish and Yuhai Tu and Gerald Tesauro
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by wassname 1 year ago
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An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu and Joel Lehman and Piero Molino and Felipe Petroski Such and Eric Frank and Alex Sergeev and Jason Yosinski
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, cs.LG, stat.ML

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Summary by CodyWild 1 year ago
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Adversarial Reprogramming of Neural Networks
Gamaleldin F. Elsayed and Ian Goodfellow and Jascha Sohl-Dickstein
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV, stat.ML

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Summary by CodyWild 1 year ago
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Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach and Aviv Tamar and Ge Yang and Stuart Russell and Pieter Abbeel
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CV, cs.NE, cs.RO, stat.ML

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Summary by CodyWild 1 year ago
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Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
Natasha Jaques and Angeliki Lazaridou and Edward Hughes and Caglar Gulcehre and Pedro A. Ortega and DJ Strouse and Joel Z. Leibo and Nando de Freitas
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.MA, stat.ML

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Summary by CodyWild 1 year ago
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Natural Environment Benchmarks for Reinforcement Learning
Amy Zhang and Yuxin Wu and Joelle Pineau
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by wassname 1 year ago
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Reward learning from human preferences and demonstrations in Atari
Borja Ibarz and Jan Leike and Tobias Pohlen and Geoffrey Irving and Shane Legg and Dario Amodei
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.NE, stat.ML

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Summary by wassname 1 year ago
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Model-Based Active Exploration
Pranav Shyam and Wojciech Jaśkowski and Faustino Gomez
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.IT, cs.NE, math.IT, stat.ML

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Summary by CodyWild 1 year ago
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Episodic Curiosity through Reachability
Nikolay Savinov and Anton Raichuk and Raphaël Marinier and Damien Vincent and Marc Pollefeys and Timothy Lillicrap and Sylvain Gelly
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CV, cs.RO, stat.ML

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Summary by CodyWild 1 year ago
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Large-Scale Study of Curiosity-Driven Learning
Yuri Burda and Harri Edwards and Deepak Pathak and Amos Storkey and Trevor Darrell and Alexei A. Efros
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CV, cs.RO, stat.ML

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Summary by CodyWild 1 year ago
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