Paper Review (3) — Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers
Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers
Continual learning involves training neural networks incrementally for new tasks while retaining the knowledge of…arxiv.org Summary 1. Task : Audio classification, task incremental continual learning
2. Authors : Nithish Muthuchamy Selvaraj et al. (Nanyang Technological University)
3. Contribution : Convolutional Adapters for parameter-efficient + Frequency-Time factorized Attention (FTA) for ompute-efficient
4. Performance : SOTA in TI-CL audio event classification
5. Comments :
Paper Review (3) — Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers
Continual learning involves training neural networks incrementally for new tasks while retaining the knowledge of…arxiv.org Summary 1. Task : Audio classification, task incremental continual learning
2. Authors : Nithish Muthuchamy Selvaraj et al. (Nanyang Technological University)
3. Contribution : Convolutional Adapters for parameter-efficient + Frequency-Time factorized Attention (FTA) for ompute-efficient
4. Performance : SOTA in TI-CL audio event classification
5. Comments : deep-learning
Paper Review 3 — Adapter Incremental Continual Learning Efficient Audio Spectrogram Transformers Adapter Incremental Continual Learning Efficient Audio Spectrogram Transformers Continual learning involves training neural network incrementally new task retaining knowledge of…arxivorg Summary 1 Task Audio classification task incremental continual learning 2 Authors Nithish Muthuchamy Selvaraj et al Nanyang Technological University 3 Contribution Convolutional Adapters parameterefficient FrequencyTime factorized Attention FTA omputeefficient 4 Performance SOTA TICL audio event classification 5 Comments deeplearning