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Edouard Yvinec
- PhD student
- Team: Piros
Publications
- Edouard Yvinec. Efficient Neural Networks : Post Training Pruning and Quantization. Machine Learning [cs.LG]. Sorbonne Université, 2023. English. ⟨NNT : 2023SORUS581⟩. ⟨tel-04496138⟩
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Edouard Yvinec, Arnaud Dapogny, Kevin Bailly. Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. The International Conference on Learning Representations (ICLR'24), May 2024, Vienna, Austria. ⟨hal-04425825⟩
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Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly. PowerQuant: Automorphism Search for Non-Uniform Quantization. The Eleventh International Conference on Learning Representations (ICLR'23), May 2023, Kigali, Rwanda. ⟨hal-04425756⟩
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- Arnaud Dapogny, Gauthier Tallec, Jules Bonnard, Edouard Yvinec, Kevin Bailly. RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions. International Conference on Automatic Face and Gesture Recognition (FG 2023), Jan 2023, Waikoloa Beach, HI, United States. ⟨10.1109/FG57933.2023.10042577⟩. ⟨hal-04087202⟩
- Arnaud Dapogny, Gauthier Tallec, Jules Bonnard, Edouard Yvinec, Kevin Bailly. Adversarial Deep Multi-Task Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction. 17th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2023), Jan 2023, Waikoloa Beach ,HI, United States. ⟨10.1109/FG57933.2023.10042750⟩. ⟨hal-04087207⟩
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Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly. PowerQuant: Automorphism Search for Non-Uniform Quantization. The Eleventh International Conference on Learning Representations (ICLR 2023), 2023. ⟨hal-04201009⟩
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Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly. SPIQ: Data-Free Per-Channel Static Input Quantization. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Jan 2023, Waikoloa (Hawaii), United States. ⟨hal-03953685⟩
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Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly. SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. Advances in Neural Information Processing Systems (NeurIPS 2022), Nov 2022, New Orleans, United States. ⟨hal-03953649⟩
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Edouard Yvinec, Arnaud Dapogny, Kevin Bailly. To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. Thirty-First International Joint Conference on Artificial Intelligence (IJCAI 22), Jul 2022, Vienna, Austria. pp.1601-1607, ⟨10.24963/ijcai.2022/223⟩. ⟨hal-03953581⟩
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Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly. RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 45 (3), pp.3664 - 3676. ⟨10.1109/TPAMI.2022.3179616⟩. ⟨hal-03706162⟩
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Edouard Yvinec, Arnaud Dapgony, Matthieu Cord, Kevin Bailly. REx: Data-Free Residual Quantization Error Expansion. the Thirty-seventh Annual Conference on Neural Information (NeurIPS'23), Dec 2023, New Orleans (Louisiana), United States. ⟨10.48550/arXiv.2203.14645⟩. ⟨hal-04425863⟩
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Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kévin Bailly. RED: Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks. Advances in Neural Information Processing Systems (NeurIPS 2021), Dec 2021, Virtual, France. ⟨hal-03610457⟩
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Edouard Yvinec, Arnaud Dapogny, Kevin Bailly. DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Nov 2020, Buenos Aires, France. pp.146-152, ⟨10.1109/FG47880.2020.00039⟩. ⟨hal-03181865⟩
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