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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

28 January 2021
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
    SSL
ArXivPDFHTML

Papers citing "BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data"

14 / 14 papers shown
Title
KnowEEG: Explainable Knowledge Driven EEG Classification
KnowEEG: Explainable Knowledge Driven EEG Classification
A. Sahota
Navid Mohammadi Foumani
Raúl Santos-Rodríguez
Z. Abdallah
14
0
0
01 May 2025
How Redundant Is the Transformer Stack in Speech Representation Models?
How Redundant Is the Transformer Stack in Speech Representation Models?
Teresa Dorszewski
Albert Kjøller Jacobsen
Lenka Tětková
Lars Kai Hansen
104
0
0
20 Jan 2025
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Salar Abbaspourazad
Anshuman Mishra
Joseph D. Futoma
Andrew C. Miller
Ian Shapiro
75
0
0
15 Dec 2024
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning
Toyotaro Suzumura
H. Kanezashi
Shotaro Akahori
AI4MH
69
0
0
25 Nov 2024
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
Wei-Bang Jiang
Yansen Wang
Bao-Liang Lu
Dongsheng Li
26
10
0
27 Aug 2024
Du-IN: Discrete units-guided mask modeling for decoding speech from
  Intracranial Neural signals
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
Hui Zheng
Haiteng Wang
Wei-Bang Jiang
Zhongtao Chen
Li He
Pei-Yang Lin
Peng-Hu Wei
Guo-Guang Zhao
Yun-Zhe Liu
33
1
0
19 May 2024
Foundational GPT Model for MEG
Foundational GPT Model for MEG
Richard Csaky
M. Es
Oiwi Parker Jones
M. Woolrich
19
2
0
14 Apr 2024
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep
  Stage Classification Using Single-Channel EEG
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
Cheol-Hui Lee
Hakseung Kim
Hyun-jee Han
Min-Kyung Jung
Byung C. Yoon
Dong-Joo Kim
14
5
0
10 Apr 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Weining Weng
Yang Gu
Shuai Guo
Yuan Ma
Zhaohua Yang
Yuchen Liu
Yiqiang Chen
12
12
0
09 Jan 2024
Series2Vec: Similarity-based Self-supervised Representation Learning for
  Time Series Classification
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification
Navid Mohammadi Foumani
Chang Wei Tan
Geoffrey I. Webb
Hamid Rezatofighi
Mahsa Salehi
SSL
AI4TS
13
4
0
07 Dec 2023
Which Augmentation Should I Use? An Empirical Investigation of
  Augmentations for Self-Supervised Phonocardiogram Representation Learning
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas
Vasileios Papapanagiotou
Christos Diou
12
0
0
01 Dec 2023
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Hui Cai
Xiang Zhang
Xiaofeng Liu
AI4TS
23
0
0
13 Oct 2023
Aggregating Intrinsic Information to Enhance BCI Performance through
  Federated Learning
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
Rui Liu
Yuanyuan Chen
Anran Li
Y. Ding
Han Yu
Cuntai Guan
FedML
19
7
0
14 Aug 2023
Overcoming the Domain Gap in Neural Action Representations
Overcoming the Domain Gap in Neural Action Representations
Semih Günel
Florian Aymanns
S. Honari
Pavan Ramdya
Pascal Fua
8
3
0
02 Dec 2021
1