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Edouard YVINEC
Edouard YVINEC
PhD
Verified email at datakalab.com - Homepage
Title
Cited by
Cited by
Year
RED: Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks
E Yvinec, A Dapogny, M Cord, K Bailly
NeurIPS 2021 34, 20863-20873, 2021
222021
SPIQ: Data-Free Per-Channel Static Input Quantization
E Yvinec, A Dapogny, M Cord, K Bailly
WACV 2023, 2022
202022
RED++: Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
E Yvinec, A Dapogny, K Bailly, M Cord
TPAMI, 2022
182022
PowerQuant: Automorphism Search for Non-Uniform Quantization
E Yvinec, A Dapogny, M Cord, K Bailly
ICLR 2023, 2023
132023
Multi-label transformer for action unit detection
G Tallec, E Yvinec, A Dapogny, K Bailly
arXiv preprint arXiv:2203.12531, 2022
132022
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding
E Yvinec, A Dapogny, K Bailly
IJCAI 2022, 2022
92022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
E Yvinec, A Dapogny, M Cord, K Bailly
NeurIPS 2022, 2022
82022
Rex: Data-free residual quantization error expansion
E Yvinec, A Dapogny, M Cord, K Bailly
Advances in Neural Information Processing Systems 36, 2024
72024
Nupes: Non-uniform post-training quantization via power exponent search
E Yvinec, A Dapogny, K Bailly
arXiv preprint arXiv:2308.05600, 2023
32023
Deesco: Deep heterogeneous ensemble with stochastic combinatory loss for gaze estimation
E Yvinec, A Dapogny, K Bailly
FG 2020, 146-152, 2020
32020
Fighting over-fitting with quantization for learning deep neural networks on noisy labels
G Tallec, E Yvinec, A Dapogny, K Bailly
2023 IEEE International Conference on Image Processing (ICIP), 575-579, 2023
22023
Designing strong baselines for ternary neural network quantization through support and mass equalization
E Yvinec, A Dapogny, K Bailly
2023 IEEE International Conference on Image Processing (ICIP), 540-544, 2023
12023
Gradient-based post-training quantization: Challenging the status quo
E Yvinec, A Dapogny, K Bailly
arXiv preprint arXiv:2308.07662, 2023
12023
Safer: Layer-level sensitivity assessment for efficient and robust neural network inference
E Yvinec, A Dapogny, K Bailly
arXiv preprint arXiv:2308.04753, 2023
12023
PIPE: Parallelized inference through ensembling of residual quantization expansions
E Yvinec, A Dapogny, K Bailly
Pattern Recognition 154, 110571, 2024
2024
SPOT: Text Source Prediction from Originality Score Thresholding
E Yvinec, G Kasser
arXiv preprint arXiv:2405.20505, 2024
2024
PIPE: Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions
E Yvinec, A Dapogny, K Bailly
arXiv preprint arXiv:2311.15806, 2023
2023
Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks
RO Reboul, E Yvinec, A Dapogny, K Bailly
arXiv preprint arXiv:2311.10549, 2023
2023
Efficient Neural Networks: Post Training Pruning and Quantization
E Yvinec
Sorbonne Université, 2023
2023
Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks
R Ouazan Reboul, E Yvinec, A Dapogny, K Bailly
arXiv e-prints, arXiv: 2311.10549, 2023
2023
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