Are the High-weight Neurons the Important Ones in Image Classification Neural Networks?
cs.AI
Submitted: 2026-07-28
Updated: 2026-08-27
Code: https://github.com/twitter-research/meta-learninglstm
Terminology
Sources
- Compression of Neural Machine Translation Models via Pruning
- Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons
- Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
- Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
- On the importance of single directions for generalization
- Revisiting the Importance of Individual Units in CNNs via Ablation
- Comprehensive Survey of Model Compression and Speed up for Vision Transformers
- Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
- DLP: Dynamic Layerwise Pruning in Large Language Models
- Quantifying Local Specialization in Deep Neural Networks
- A Simple and Effective Pruning Approach for Large Language Models
- Understanding Neural Networks Through Deep Visualization
- Ablation Studies in Artificial Neural Networks
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