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Qishuai Wen

2 accepted papers

2025

Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few

NeurIPS 2025spotlight

Attention mechanisms have achieved significant empirical success in multiple fields, but their underlying optimization objectives remain unclear yet. Moreover, the quadratic complexity of self-attention has become increasingly prohibitive. Although interpretability and efficiency are two mutually re…

Cited by 0SourcecodeScholar
2024

Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective

NeurIPS 2024poster

State-of-the-art methods for Transformer-based semantic segmentation typically adopt Transformer decoders that are used to extract additional embeddings from image embeddings via cross-attention, refine either or both types of embeddings via self-attention, and project image embeddings onto the addi…