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

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Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
Daniel S. Brown and Wonjoon Goo and Scott Niekum
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Paul Barde 2 weeks ago
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Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Daniel S. Brown and Wonjoon Goo and Prabhat Nagarajan and Scott Niekum
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Paul Barde 2 weeks ago
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Summary by Robert Müller 2 months ago
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Summary by CodyWild 2 months ago
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Summary by CodyWild 3 months ago
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Summary by Robert Müller 3 months ago
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Summary by CodyWild 3 months ago
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Summary by Robert Müller 3 months ago
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Meta-Learning via Learned Loss
Sarah Bechtle and Artem Molchanov and Yevgen Chebotar and Edward Grefenstette and Ludovic Righetti and Gaurav Sukhatme and Franziska Meier
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, cs.RO, stat.ML

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Summary by Robert Müller 3 months ago
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Summary by ameroyer 3 months ago
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Combining docking pose rank and structure with deep learning improves protein-ligand binding mode prediction
Joseph A. Morrone and Jeffrey K. Weber and Tien Huynh and Heng Luo and Wendy D. Cornell
arXiv e-Print archive - 2019 via Local arXiv
Keywords: q-bio.BM, physics.bio-ph, stat.ML

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Summary by CodyWild 4 months ago
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Benchmarking Batch Deep Reinforcement Learning Algorithms
Scott Fujimoto and Edoardo Conti and Mohammad Ghavamzadeh and Joelle Pineau
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by Robert Müller 4 months ago
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Limitations of the Empirical Fisher Approximation for Natural Gradient Descent
Frederik Kunstner and Lukas Balles and Philipp Hennig
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Robert Müller 4 months ago
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Summary by David Stutz 4 months ago
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Summary by David Stutz 4 months ago
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Summary by David Stutz 4 months ago
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Summary by David Stutz 4 months ago
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Summary by David Stutz 4 months ago
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Summary by David Stutz 4 months ago
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Summary by David Stutz 4 months ago
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Summary by David Stutz 4 months ago
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Summary by David Stutz 4 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by Massimo Caccia 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Julian Schrittwieser and Ioannis Antonoglou and Thomas Hubert and Karen Simonyan and Laurent Sifre and Simon Schmitt and Arthur Guez and Edward Lockhart and Demis Hassabis and Thore Graepel and Timothy Lillicrap and David Silver
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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1 Comments
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by Oleksandr Bailo 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 8 months ago
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Summary by CodyWild 9 months ago
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Summary by CodyWild 9 months ago
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Summary by CodyWild 9 months ago
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Meta-Learning with Implicit Gradients
Aravind Rajeswaran and Chelsea Finn and Sham Kakade and Sergey Levine
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, math.OC, stat.ML

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Summary by Prateek Gupta 10 months ago
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Summary by jerpint 10 months ago
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Summary by dav1309 11 months ago
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Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi and Lucas Caccia and Eugene Belilovsky and Massimo Caccia and Laurent Charlin and Tinne Tuytelaars
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Massimo Caccia 11 months ago
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Summary by Apoorva Shetty 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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Benchmarking Deep Learning Hardware and Frameworks: Qualitative Metrics
Wei Dai and Daniel Berleant
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.DC, cs.LG, cs.PF

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Summary by Wei Dai 1 year ago
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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle and Michael Carbin
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, cs.NE

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Summary by David Stutz 1 year ago
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Certified Adversarial Robustness via Randomized Smoothing
Jeremy M Cohen and Elan Rosenfeld and J. Zico Kolter
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, 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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Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
Sascha Saralajew and Lars Holdijk and Maike Rees and Thomas Villmann
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CV, stat.ML

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Summary by David Stutz 1 year ago
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Summary by sudharsansai 1 year ago
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A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio and Tristan Deleu and Nasim Rahaman and Rosemary Ke and Sébastien Lachapelle and Olexa Bilaniuk and Anirudh Goyal and Christopher Pal
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Joseph Paul Cohen 1 year ago
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Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Yunpeng Chen and Haoqi Fan and Bing Xu and Zhicheng Yan and Yannis Kalantidis and Marcus Rohrbach and Shuicheng Yan and Jiashi Feng
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.CV

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Summary by Hadrien Bertrand 1 year ago
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Summary by CodyWild 1 year ago
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Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita and David Talbot and Fedor Moiseev and Rico Sennrich and Ivan Titov
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.CL

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Summary by CodyWild 1 year ago
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Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Egor Zakharov and Aliaksandra Shysheya and Egor Burkov and Victor Lempitsky
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.CV, cs.GR, cs.LG

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Summary by CodyWild 1 year ago
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HellaSwag: Can a Machine Really Finish Your Sentence?
Rowan Zellers and Ari Holtzman and Yonatan Bisk and Ali Farhadi and Yejin Choi
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.CL

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