Edouard Yvinec
Orcid: 0000-0002-4318-612X
According to our database1,
Edouard Yvinec
authored at least 20 papers
between 2020 and 2023.
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Bibliography
2023
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions.
CoRR, 2023
Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks.
CoRR, 2023
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings.
CoRR, 2023
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization.
Proceedings of the IEEE International Conference on Image Processing, 2023
Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels.
Proceedings of the IEEE International Conference on Image Processing, 2023
Adversarial Deep Multi-Task Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023
RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks.
CoRR, 2021
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020