Papers with identity mapping
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior (2020.findings-emnlp)
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| Challenge: | Spectral-normalized identity priors (SNIP) is a structured pruning approach for a Transformer model. |
| Approach: | They propose a structured pruning approach which penalizes an entire residual module toward an identity mapping. |
| Outcome: | The proposed method improves on 5 GLUE benchmark tasks while maintaining comparable performance. |
Flashback: Memory Mechanism for Enhancing Memory Efficiency and Speed in Deep Sequential Models (2025.coling-main)
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| Challenge: | Existing deep sequential processing models have problems with memory degradation and inaccurate gradient backpropagation. |
| Approach: | They propose a Flashback property that preserves memory as an identity mapping until it is overwritten by a hidden state at a different time step. |
| Outcome: | The proposed model can be implemented in Transformers and Mamba, and it performs well. |