Edouard Yvinec

Pattern Recognit., 2024

SPOT: Text Source Prediction from Originality Score Thresholding.

[BibT_eX]

[DOI]

Gabriel Kasser

CoRR, 2024

Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Efficient Neural Networks: Post Training Pruning and Quantization. (Accélération des réseaux de neurones).

[BibT_eX]

[DOI]

PhD thesis, 2023

PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions.

[BibT_eX]

[DOI]

CoRR, 2023

Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks.

[BibT_eX]

[DOI]

CoRR, 2023

Gradient-Based Post-Training Quantization: Challenging the Status Quo.

[BibT_eX]

[DOI]

CoRR, 2023

NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search.

[BibT_eX]

[DOI]

CoRR, 2023

SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference.

[BibT_eX]

[DOI]

CoRR, 2023

SPIQ: Data-Free Per-Channel Static Input Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

REx: Data-Free Residual Quantization Error Expansion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PowerQuant: Automorphism Search for Non-Uniform Quantization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

2022

Multi-label Transformer for Action Unit Detection.

[BibT_eX]

[DOI]

CoRR, 2022

SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]