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

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Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)
Lisa Anne Hendricks and Kaylee Burns and Kate Saenko and Trevor Darrell and Anna Rohrbach
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV

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Summary by ngthanhtinqn 6 months ago
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Summary by ngthanhtinqn 7 months ago
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Summary by CodyWild 1 year ago
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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 3 years 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 3 years ago
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Summary by CodyWild 3 years 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 3 years 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 3 years 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 3 years 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 3 years 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 3 years 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 3 years 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 3 years 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 4 years ago
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Summary by jerpint 4 years ago
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Summary by Hadrien Bertrand 4 years ago
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Summary by David Stutz 4 years 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 4 years 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 4 years ago
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Summary by David Stutz 4 years 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 4 years 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 4 years 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 4 years 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 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years 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 4 years 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 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years 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 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years 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 4 years ago
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Summary by David Stutz 4 years 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 4 years 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 4 years ago
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Summary by Joseph Paul Cohen 4 years 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 4 years ago
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Summary by CodyWild 4 years 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 4 years ago
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Summary by CodyWild 4 years 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 4 years ago
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Summary by CodyWild 4 years ago
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Summary by CodyWild 4 years 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 4 years 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 4 years 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 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years 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 4 years ago
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Summary by ameroyer 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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 4 years 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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