Edouard Yvinec

34 papers A* 6A 1B 5Journal 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	NUPES: Non-Uniform Post-Training Quantization via Power Exponent Search. IEEE Trans. Pattern Anal. Mach. Intell. Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2024	A*	`conf`	Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. ICLR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2024	J	`jnl`	PIPE: Parallelized inference through ensembling of residual quantization expansions. Pattern Recognit. Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2024	J	`jnl`	SPOT: Text Source Prediction from Originality Score Thresholding. CoRR Edouard Yvinec, Gabriel Kasser
2023	B	`conf`	Adversarial Deep Multi-Task Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction. FG Arnaud Dapogny, Gauthier Tallec, Jules Bonnard, Edouard Yvinec, Kévin Bailly
2023	J	`jnl`	Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks. CoRR Rémi Ouazan Reboul, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	B	`conf`	Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization. ICIP Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	Designing strong baselines for ternary neural network quantization through support and mass equalization. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	—	`—`	Efficient Neural Networks: Post Training Pruning and Quantization. (Accélération des réseaux de neurones). Edouard Yvinec
2023	B	`conf`	Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels. ICIP Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	Fighting over-fitting with quantization for learning deep neural networks on noisy labels. CoRR Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	Gradient-Based Post-Training Quantization: Challenging the Status Quo. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	A*	`conf`	PowerQuant: Automorphism Search for Non-Uniform Quantization. ICLR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2023	J	`jnl`	PowerQuant: Automorphism Search for Non-Uniform Quantization. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2023	J	`jnl`	RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. IEEE Trans. Pattern Anal. Mach. Intell. Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2023	A*	`conf`	REx: Data-Free Residual Quantization Error Expansion. NeurIPS Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2023	B	`conf`	RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions. FG Arnaud Dapogny, Gauthier Tallec, Jules Bonnard, Edouard Yvinec, Kévin Bailly
2023	J	`jnl`	SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	A	`conf`	SPIQ: Data-Free Per-Channel Static Input Quantization. WACV Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2022	J	`jnl`	Multi-label Transformer for Action Unit Detection. CoRR Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2022	J	`jnl`	REx: Data-Free Residual Quantization Error Expansion. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2022	A*	`conf`	SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. NeurIPS Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2022	J	`jnl`	SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2022	J	`jnl`	SPIQ: Data-Free Per-Channel Static Input Quantization. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2022	A*	`conf`	To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. IJCAI Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2022	J	`jnl`	To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2021	J	`jnl`	RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2021	A*	`conf`	RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks. NeurIPS Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2021	J	`jnl`	RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2020	B	`conf`	DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. FG Edouard Yvinec, Arnaud Dapogny, Kévin Bailly
2020	J	`jnl`	DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. CoRR Edouard Yvinec, Arnaud Dapogny, Kévin Bailly