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Overcoming the Domain Gap in Neural Action Representations

Overcoming the Domain Gap in Neural Action Representations

2 December 2021
Semih Günel
Florian Aymanns
S. Honari
Pavan Ramdya
Pascal Fua
ArXivPDFHTML

Papers citing "Overcoming the Domain Gap in Neural Action Representations"

3 / 3 papers shown
Title
Neural Latents Benchmark '21: Evaluating latent variable models of
  neural population activity
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei
Joel Ye
D. Zoltowski
Anqi Wu
Raeed H. Chowdhury
...
L. Miller
Jonathan W. Pillow
Il Memming Park
Eva L. Dyer
C. Pandarinath
42
86
0
09 Sep 2021
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
41
198
0
28 Jan 2021
Decoding Brain Representations by Multimodal Learning of Neural Activity
  and Visual Features
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
S. Palazzo
C. Spampinato
I. Kavasidis
D. Giordano
Joseph Schmidt
M. Shah
97
109
0
25 Oct 2018
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