Adaptive Forgetting for Nonstationary Optimization: Towards Robust EEG Decoding

arXiv:2609.24233 · cs.LG, cs.HC · Submitted 2026-09-21 · Read on arXiv

cs.LG, cs.HC

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: Submitted

Code: https://github.com/HongyuZhu-s/AFOR

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adam — 42× in this paper · explained in 2 episodes
• Generalization — 11× in this paper · explained in 13 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Transformer — 10× in this paper · explained in 2 episodes
• Consistency — 7× in this paper · explained in 3 episodes
• Affective Computing — 6× in this paper · explained in 1 episode
• Ablation — 5× in this paper · explained in 1 episode
• Alignment — 5× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Adaptive Forgetting Controller — 4× in this paper
• GNNs — 4× in this paper · explained in 2 episodes
• Residual-Alignment Signal Scorer — 4× in this paper
• International Conference on Learning Representations — 3× in this paper
• Adaptability — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Graph — 1× in this paper · explained in 1 episode
• Adaptive Mechanism — 1× in this paper · explained in 1 episode
• Adaptivity — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Spiking neural networks — 1× in this paper · explained in 2 episodes
• System Identification — 1× in this paper · explained in 3 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Physiological Prior-Driven Label Enhancement for Cross-Subject EEG Emotion Recognition
• BiMoE: Brain-Inspired Experts for EEG-Dominant Affective State Recognition

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