Pierre Stock
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Privacy-Preserving Technologies in Data, Advanced Neural Network Applications, Neural Networks and Applications, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → Mistral 7B(2023)260 cited
- → ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases(2018)148 cited
- → Mixtral of Experts(2024)115 cited
- → Training with Quantization Noise for Extreme Model Compression(2020)114 cited
- → LLM-QAT: Data-Free Quantization Aware Training for Large Language Models(2024)93 cited
- → LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference(2021)90 cited
- → And the Bit Goes Down: Revisiting the Quantization of Neural Networks(2019)68 cited
- ConvNets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism.(2017)