Awesome-Collection-Token-Reduction. A collection of token reduction (token pruning, merging, clustering, etc.) techniques for ML/AI
477Tri-Level-ViT. [AAAI 2023 Oral] Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
14ToP-ViM. [NeurIPS 2024] Exploring Token Pruning in Vision State Space Models
6LLM_Integration. Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation
2BERT_demo. [EMNLP 2020] Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
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