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Levels of Analysis for Machine Learning

Levels of Analysis for Machine Learning

6 April 2020
Jessica B. Hamrick
S. Mohamed
ArXivPDFHTML

Papers citing "Levels of Analysis for Machine Learning"

5 / 5 papers shown
Title
The Geometry of Tokens in Internal Representations of Large Language Models
The Geometry of Tokens in Internal Representations of Large Language Models
Karthik Viswanathan
Yuri Gardinazzi
Giada Panerai
Alberto Cazzaniga
Matteo Biagetti
AIFin
94
4
0
17 Jan 2025
Is Pre-training Truly Better Than Meta-Learning?
Is Pre-training Truly Better Than Meta-Learning?
Brando Miranda
P. Yu
Saumya Goyal
Yu-xiong Wang
Oluwasanmi Koyejo
44
5
0
24 Jun 2023
The Curse of Low Task Diversity: On the Failure of Transfer Learning to
  Outperform MAML and Their Empirical Equivalence
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence
Brando Miranda
P. Yu
Yu-xiong Wang
Oluwasanmi Koyejo
30
10
0
02 Aug 2022
Warmth and competence in human-agent cooperation
Warmth and competence in human-agent cooperation
Kevin R. McKee
Xuechunzi Bai
S. Fiske
35
26
0
31 Jan 2022
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
251
2,550
0
25 Jan 2016
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