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

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Summary by CodyWild 7 hours ago
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Summary by CodyWild 1 week ago
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Summary by CodyWild 1 week ago
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Summary by CodyWild 1 week ago
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Summary by CodyWild 1 week 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 1 month ago
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Summary by jerpint 1 month ago
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Summary by dav1309 2 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 2 months ago
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Summary by David Stutz 3 months ago
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Summary by David Stutz 3 months ago
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Summary by David Stutz 3 months ago
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Summary by David Stutz 3 months ago
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Summary by David Stutz 3 months ago
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Summary by David Stutz 3 months 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 4 months 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 4 months 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 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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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 4 months ago
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Summary by sudharsansai 4 months 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 5 months 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 5 months ago
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Summary by CodyWild 5 months 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 5 months 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 5 months 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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Summary by CodyWild 5 months ago
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Summary by CodyWild 5 months ago
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Meta-learners' learning dynamics are unlike learners'
Neil C. Rabinowitz
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by CodyWild 5 months ago
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Summary by CodyWild 5 months ago
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Summary by CodyWild 5 months ago
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S$^\mathbf{4}$L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai and Avital Oliver and Alexander Kolesnikov and Lucas Beyer
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.CV, cs.LG

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Summary by CodyWild 5 months ago
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Summary by CodyWild 6 months ago
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Summary by CodyWild 6 months ago
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Summary by CodyWild 6 months ago
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Summary by CodyWild 6 months ago
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Summary by CodyWild 6 months ago
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Summary by CodyWild 6 months ago
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Model-Based Reinforcement Learning for Atari
Lukasz Kaiser and Mohammad Babaeizadeh and Piotr Milos and Blazej Osinski and Roy H Campbell and Konrad Czechowski and Dumitru Erhan and Chelsea Finn and Piotr Kozakowski and Sergey Levine and Ryan Sepassi and George Tucker and Henryk Michalewski
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Ankesh Anand 8 months ago
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Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification
Gabriel Huang and Hugo Larochelle and Simon Lacoste-Julien
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by gabriel 8 months ago
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