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Prospective Learning: Principled Extrapolation to the Future

Prospective Learning: Principled Extrapolation to the Future

19 January 2022
Ashwin De Silva
Rahul Ramesh
Pallavi V. Kulkarni
M. Shuler
Noah J. Cowan
Michael L Platt
Chen Li
Leyla Isik
Seungbin Roh
Adam S. Charles
A. Venkataraman
B. Caffo
Javier J. How
Justus M. Kebschull
J. Krakauer
Maxim Bichuch
K. A. Kinfu
Eva Yezerets
Dinesh Jayaraman
Jong M. Shin
Soledad Villar
Ian Phillips
Carey E. Priebe
T. Hartung
Michael I. Miller
Jayanta Dey
Ningyuan Huang
Huang
Eric Eaton
Ralph Etienne-Cummings
Elizabeth L. Ogburn
Randal C. Burns
O. Osuagwu
B. Mensh
A. Muotri
Julia Brown
Christoper M. White
Weiwei Yang
Andrei A. Rusu
Timothy D. Verstynen
Konrad Paul Kording
Pratik Chaudhari
Joshua T. Vogelstein
    AI4TS
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Papers citing "Prospective Learning: Principled Extrapolation to the Future"

2 / 2 papers shown
Title
Prospective Learning: Learning for a Dynamic Future
Prospective Learning: Learning for a Dynamic Future
Ashwin De Silva
Rahul Ramesh
Rubing Yang
Siyu Yu
Joshua T. Vogelstein
Pratik Chaudhari
AI4TS
58
0
0
31 Oct 2024
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
243
11,659
0
09 Mar 2017
1