EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training
Fuente:
arXiv
Saved in:
| Main Authors: | Tang, Yuting, Jiang, Weibang, Li, Shanglin, Li, Yong, Liu, Chenyu, Zhou, Xinliang, Ding, Yi, Guan, Cuntai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BrainPro: Towards Large-scale Brain State-aware EEG Representation Learning
by: Ding, Yi, et al.
Published: (2025)
by: Ding, Yi, et al.
Published: (2025)
EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts
by: Zhou, Runhe, et al.
Published: (2026)
by: Zhou, Runhe, et al.
Published: (2026)
EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces
by: Ding, Yi, et al.
Published: (2024)
by: Ding, Yi, et al.
Published: (2024)
EEG-to-Gait Decoding via Phase-Aware Representation Learning
by: Fu, Xi, et al.
Published: (2025)
by: Fu, Xi, et al.
Published: (2025)
LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces
by: Jiang, Muyun, et al.
Published: (2025)
by: Jiang, Muyun, et al.
Published: (2025)
DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models
by: Wang, Jingyuan, et al.
Published: (2026)
by: Wang, Jingyuan, et al.
Published: (2026)
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition
by: Ding, Yi, et al.
Published: (2023)
by: Ding, Yi, et al.
Published: (2023)
ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models
by: Liu, Chenyu, et al.
Published: (2025)
by: Liu, Chenyu, et al.
Published: (2025)
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
by: Ding, Yi, et al.
Published: (2024)
by: Ding, Yi, et al.
Published: (2024)
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
by: Zhou, Xinliang, et al.
Published: (2024)
by: Zhou, Xinliang, et al.
Published: (2024)
HEEGNet: Hyperbolic Embeddings for EEG
by: Li, Shanglin, et al.
Published: (2026)
by: Li, Shanglin, et al.
Published: (2026)
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective
by: Liu, Chenyu, et al.
Published: (2024)
by: Liu, Chenyu, et al.
Published: (2024)
Foundation Model Guided Dual-Branch Co-Adaptation for Source-Free EEG Decoding
by: Gong, Peiliang, et al.
Published: (2026)
by: Gong, Peiliang, et al.
Published: (2026)
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
by: Fu, Xi, et al.
Published: (2025)
by: Fu, Xi, et al.
Published: (2025)
Graph Neural Networks in EEG-based Emotion Recognition: A Survey
by: Liu, Chenyu, et al.
Published: (2024)
by: Liu, Chenyu, et al.
Published: (2024)
EEGDM: EEG Representation Learning via Generative Diffusion Model
by: Puah, Jia Hong, et al.
Published: (2025)
by: Puah, Jia Hong, et al.
Published: (2025)
Interpretable and Robust AI in EEG Systems: A Survey
by: Zhou, Xinliang, et al.
Published: (2023)
by: Zhou, Xinliang, et al.
Published: (2023)
SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
by: Li, Shanglin, et al.
Published: (2024)
by: Li, Shanglin, et al.
Published: (2024)
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
by: Wei, Xinxu, et al.
Published: (2024)
by: Wei, Xinxu, et al.
Published: (2024)
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
by: Jiang, Wei-Bang, et al.
Published: (2025)
by: Jiang, Wei-Bang, et al.
Published: (2025)
Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal Transformer
by: Jiang, Muyun, et al.
Published: (2025)
by: Jiang, Muyun, et al.
Published: (2025)
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
by: Chen, Zhisheng, et al.
Published: (2025)
by: Chen, Zhisheng, et al.
Published: (2025)
EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG Model
by: Qin, Chengxuan, et al.
Published: (2024)
by: Qin, Chengxuan, et al.
Published: (2024)
Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research
by: Duan, Chenda, et al.
Published: (2026)
by: Duan, Chenda, et al.
Published: (2026)
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
by: Jiang, Wei-Bang, et al.
Published: (2024)
by: Jiang, Wei-Bang, et al.
Published: (2024)
Standing on the Shoulders of Giants: Rethinking EEG Foundation Model Pretraining via Multi-Teacher Distillation
by: Li, Chenqi, et al.
Published: (2026)
by: Li, Chenqi, et al.
Published: (2026)
TAnet: A New Temporal Attention Network for EEG-based Auditory Spatial Attention Decoding with a Short Decision Window
by: Ding, Yuting, et al.
Published: (2024)
by: Ding, Yuting, et al.
Published: (2024)
EEGDM: Learning EEG Representation with Latent Diffusion Model
by: Wang, Shaocong, et al.
Published: (2025)
by: Wang, Shaocong, et al.
Published: (2025)
SCOPE: Structured Prototype-Guided Adaptation for EEG Foundation Models with Limited Labels
by: Ma, Jingying, et al.
Published: (2026)
by: Ma, Jingying, et al.
Published: (2026)
ALFEE: Adaptive Large Foundation Model for EEG Representation
by: Xiong, Wei, et al.
Published: (2025)
by: Xiong, Wei, et al.
Published: (2025)
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
by: Burchert, Johannes, et al.
Published: (2024)
by: Burchert, Johannes, et al.
Published: (2024)
EEGAgent: A Unified Framework for Automated EEG Analysis Using Large Language Models
by: Zhao, Sha, et al.
Published: (2025)
by: Zhao, Sha, et al.
Published: (2025)
CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model
by: Ma, Jingying, et al.
Published: (2025)
by: Ma, Jingying, et al.
Published: (2025)
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
by: Liu, Dingkun, et al.
Published: (2025)
by: Liu, Dingkun, et al.
Published: (2025)
One Model for All: Universal Pre-training for EEG based Emotion Recognition across Heterogeneous Datasets and Paradigms
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation
by: Kim, Jonathan W., et al.
Published: (2024)
by: Kim, Jonathan W., et al.
Published: (2024)
SingLEM: Single-Channel Large EEG Model
by: Sukhbaatar, Jamiyan, et al.
Published: (2025)
by: Sukhbaatar, Jamiyan, et al.
Published: (2025)
L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
by: Li, Angqi, et al.
Published: (2026)
by: Li, Angqi, et al.
Published: (2026)
LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
by: Döner, Berkay, et al.
Published: (2025)
by: Döner, Berkay, et al.
Published: (2025)
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup
by: Liu, Xuan-Hao, et al.
Published: (2025)
by: Liu, Xuan-Hao, et al.
Published: (2025)
Similar Items
-
BrainPro: Towards Large-scale Brain State-aware EEG Representation Learning
by: Ding, Yi, et al.
Published: (2025) -
EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts
by: Zhou, Runhe, et al.
Published: (2026) -
EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces
by: Ding, Yi, et al.
Published: (2024) -
EEG-to-Gait Decoding via Phase-Aware Representation Learning
by: Fu, Xi, et al.
Published: (2025) -
LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces
by: Jiang, Muyun, et al.
Published: (2025)