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MetaCon: Unified Predictive Segments System with Trillion Concept
  Meta-Learning

MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning

9 March 2022
Keqian Li
Yifan Hu
Logan Palanisamy
Lisa Jones
A. Gupta
J. E. Grigsby
Ili Selinger
Matt Gillingham
Fei Tan
ArXivPDFHTML

Papers citing "MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning"

16 / 16 papers shown
Title
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
OffRL
60
47
0
11 Mar 2020
Improving Generalization in Meta Reinforcement Learning using Learned
  Objectives
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
Louis Kirsch
Sjoerd van Steenkiste
Jürgen Schmidhuber
OffRL
71
119
0
09 Oct 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
102
855
0
10 Sep 2019
Meta-Learning via Learned Loss
Meta-Learning via Learned Loss
Sarah Bechtle
Artem Molchanov
Yevgen Chebotar
Edward Grefenstette
Ludovic Righetti
Gaurav Sukhatme
Franziska Meier
65
111
0
12 Jun 2019
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
199
4,354
0
24 Jun 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
176
727
0
13 Jun 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
120
1,771
0
24 May 2018
Entire Space Multi-Task Model: An Effective Approach for Estimating
  Post-Click Conversion Rate
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Xiao Ma
Liqin Zhao
Guan Huang
Zhi Wang
Zelin Hu
Xiaoqiang Zhu
Kun Gai
59
417
0
21 Apr 2018
Meta-Learning Update Rules for Unsupervised Representation Learning
Meta-Learning Update Rules for Unsupervised Representation Learning
Luke Metz
Niru Maheswaranathan
Brian Cheung
Jascha Narain Sohl-Dickstein
SSL
OOD
72
123
0
31 Mar 2018
Deep & Cross Network for Ad Click Predictions
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang
Bin Fu
Gang Fu
Mingliang Wang
102
1,233
0
17 Aug 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
295
8,130
0
15 Mar 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans
Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
92
1,538
0
10 Mar 2017
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
823
11,899
0
09 Mar 2017
Visual Discovery at Pinterest
Visual Discovery at Pinterest
Andrew Zhai
Dmitry Kislyuk
Yushi Jing
Michael Feng
Eric Tzeng
Jeff Donahue
Yue Li Du
Trevor Darrell
37
82
0
15 Feb 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
459
5,372
0
05 Nov 2016
Wide & Deep Learning for Recommender Systems
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
...
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAI
VLM
174
3,659
0
24 Jun 2016
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