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The Lean Data Scientist: Recent Advances towards Overcoming the Data
  Bottleneck

The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck

15 November 2022
Chen Shani
Jonathan Zarecki
Dafna Shahaf
ArXivPDFHTML

Papers citing "The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck"

5 / 5 papers shown
Title
Wearable data from subjects playing Super Mario, sitting university
  exams, or performing physical exercise help detect acute mood episodes via
  self-supervised learning
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
F. Corponi
Bryan M. Li
G. Anmella
Clàudia Valenzuela-Pascual
Ariadna Mas
...
Allan H Young
S. Lawrie
H. Whalley
D. Hidalgo-Mazzei
Antonio Vergari
26
0
0
07 Nov 2023
Active Learning on a Budget: Opposite Strategies Suit High and Low
  Budgets
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen
Avihu Dekel
D. Weinshall
124
116
0
06 Feb 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
Convex Formulation for Kernel PCA and its Use in Semi-Supervised
  Learning
Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning
Carlos M. Alaíz
Michaël Fanuel
Johan A. K. Suykens
45
26
0
21 Oct 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
242
2,550
0
25 Jan 2016
1