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A partition-based similarity for classification distributions

A partition-based similarity for classification distributions

12 November 2020
Hayden S. Helm
Ronak D. Mehta
Brandon Duderstadt
Weiwei Yang
Christoper M. White
Ali Geisa
Joshua T. Vogelstein
Carey E. Priebe
ArXiv (abs)PDFHTML

Papers citing "A partition-based similarity for classification distributions"

11 / 11 papers shown
Title
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
817
42,055
0
28 May 2020
LEEP: A New Measure to Evaluate Transferability of Learned
  Representations
LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong V Nguyen
Tal Hassner
Matthias Seeger
Cédric Archambeau
80
218
0
27 Feb 2020
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
175
167
0
21 Aug 2019
P2L: Predicting Transfer Learning for Images and Semantic Relations
P2L: Predicting Transfer Learning for Images and Semantic Relations
Bishwaranjan Bhattacharjee
J. Kender
Matthew Q. Hill
Parijat Dube
Siyu Huo
Michael R. Glass
Brian M. Belgodere
Sharath Pankanti
Noel Codella
Patrick Watson
VLM
52
12
0
20 Aug 2019
Energy and Policy Considerations for Deep Learning in NLP
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell
Ananya Ganesh
Andrew McCallum
73
2,657
0
05 Jun 2019
Task2Vec: Task Embedding for Meta-Learning
Task2Vec: Task Embedding for Meta-Learning
Alessandro Achille
Michael Lam
Rahul Tewari
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Stefano Soatto
Pietro Perona
SSL
77
315
0
10 Feb 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
112
2,595
0
21 Jan 2019
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAISSLVLM
229
9,972
0
15 Jul 2016
On the Number of Linear Regions of Deep Neural Networks
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar
Razvan Pascanu
Kyunghyun Cho
Yoshua Bengio
90
1,254
0
08 Feb 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
269
12,439
0
24 Jun 2012
A Model of Inductive Bias Learning
A Model of Inductive Bias Learning
Jonathan Baxter
109
1,214
0
01 Jun 2011
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