On the Interaction Between Model Compression and Test-Time Adaptation
cs.LG, cs.AI
Submitted: 2026-09-03
Updated: 2026-09-03
Terminology
Sources
- Layer Normalization
- Geometry-aware similarity metrics for neural representations on Riemannian and statistical manifolds
- Studying the impact of magnitude pruning on contrastive learning methods
- Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
- Characterising Bias in Compressed Models
- From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices
- TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation
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