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EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.

, , , , , and . ICCV, page 17030-17040. IEEE, (2023)

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Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery., , , , , , , and . AAAI, page 15814-15822. AAAI Press, (2024)DisWOT: Student Architecture Search for Distillation WithOut Training., , and . CVPR, page 11898-11908. IEEE, (2023)ParZC: Parametric Zero-Cost Proxies for Efficient NAS., , , , , , and . CoRR, (2024)Multi-Task Domain Adaptation for Language Grounding with 3D Objects., , , , , , , , and . CoRR, (2024)Progressive Meta-Pooling Learning for Lightweight Image Classification Model., , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models., , , , , , and . ICML, OpenReview.net, (2024)DetKDS: Knowledge Distillation Search for Object Detectors., , , , , , , , and . ICML, OpenReview.net, (2024)TVT: Training-Free Vision Transformer Search on Tiny Datasets., , , , , , and . CoRR, (2023)DMFormer: Closing the gap Between CNN and Vision Transformers., , , , , , and . ICASSP, page 1-5. IEEE, (2023)AutoRF: Auto Learning Receptive Fields with Spatial Pooling., , , , , and . MMM (2), volume 13834 of Lecture Notes in Computer Science, page 683-694. Springer, (2023)