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cs.LG2026
Modality-Aware Zero-Shot Pruning and Sparse Attention for Efficient Multimodal Edge Inference
Yueyuan Sui, Payal Mohapatra, Doğaç Eldenk +5
Edge devices increasingly run multimodal sensing pipelines that must remain accurate despite fluctuating power budgets and unpredictable sensor dropout. Existing pruning methods fa…
cs.LG2025
MambaLite-Micro: Memory-Optimized Mamba Inference on MCUs
Hongjun Xu, Junxi Xia, Weisi Yang +2
Deploying Mamba models on microcontrollers (MCUs) remains challenging due to limited memory, the lack of native operator support, and the absence of embedded-friendly toolchains. W…
cs.LG2024
ElastiFormer: Learned Redundancy Reduction in Transformer via Self-Distillation
Junzhang Liu, Tingkai Liu, Yueyuan Sui +1
We introduce ElastiFormer, a post-training technique that adapts pretrained Transformer models into an elastic counterpart with variable inference time compute. ElastiFormer introd…