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Estimating class separability of text embeddings with persistent homology

Estimating class separability of text embeddings with persistent homology

Kostis Gourgoulias
Najah F. Ghalyan
Maxime Labonne
Yash Satsangi
Sean J. Moran
Joseph Sabelja
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Papers citing "Estimating class separability of text embeddings with persistent homology"

5 / 5 papers shown
Title
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
46
71
0
05 Oct 2022
Efficient Few-Shot Learning Without Prompts
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall
Nils Reimers
Unso Eun Seo Jo
Luke Bates
Daniel Korat
Moshe Wasserblat
Oren Pereg
VLM
26
180
0
22 Sep 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
205
1,654
0
15 Oct 2021
Topological Deep Learning: Classification Neural Networks
Topological Deep Learning: Classification Neural Networks
Mustafa Hajij
Kyle Istvan
29
5
0
16 Feb 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,584
0
21 Jan 2020