| Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators G Mordido, H Yang, C Meinel KDD 2018 Deep Learning Day, 2018 | 70 | 2018 |
| microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination G Mordido, H Yang, C Meinel WACV 2020, 2020 | 17 | 2020 |
| Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness A Zayed, P Parthasarathi, G Mordido, H Palangi, S Shabanian, S Chandar AAAI 2023, 2022 | 11 | 2022 |
| Representing a neural network utilizing paths within the network to improve a performance of the neural network A Keller, GFT Mordido, NJ Gamboa, MJ Van Keirsbilck US Patent 11,507,846, 2022 | 10 | 2022 |
| Monte Carlo Gradient Quantization G Mordido, M Van Keirsbilck, A Keller CVPR 2020 Workshop, 2020 | 9 | 2020 |
| Should We Attend More or Less? Modulating Attention for Fairness A Zayed, G Mordido, S Shabanian, S Chandar arXiv preprint arXiv:2305.13088, 2023 | 7 | 2023 |
| Mark-Evaluate: Assessing Language Generation using Population Estimation Methods G Mordido, C Meinel COLING 2020, 2020 | 7 | 2020 |
| MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators J Kern, S Henwood, G Mordido, E Dupraz, A Aïssa-El-Bey, Y Savaria, ... AICAS 2022, 2022 | 6 | 2022 |
| Instant Quantization of Neural Networks using Monte Carlo Methods G Mordido, M Van Keirsbilck, A Keller NeurIPS 2019 Workshop, 2019 | 6 | 2019 |
| Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices G Mordido, M Van Keirsbilck, A Keller INTERSPEECH 2021, 2021 | 5 | 2021 |
| Fairness-Aware Structured Pruning in Transformers A Zayed, G Mordido, S Shabanian, I Baldini, S Chandar AAAI 2024, 2023 | 4 | 2023 |
| Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators G Mordido, S Chandar, F Leduc-Primeau CoLLAs 2022 Workshop, Edge Intelligence Workshop, 2022 | 4 | 2022 |
| Improving the Evaluation of Generative Models with Fuzzy Logic J Niedermeier, G Mordido, C Meinel AAAI 2020 Workshop, 2020 | 4 | 2020 |
| Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation J Sauder, T Hu, X Che, G Mordido, H Yang, C Meinel LREC 2020, 2020 | 3 | 2020 |
| Improving Meta-Learning Generalization with Activation-Based Early-Stopping S Guiroy, C Pal, G Mordido, S Chandar CoLLAs 2022, 2022 | 2 | 2022 |
| Tiny CNN for Seizure Prediction in Wearable Biomedical Devices Y Zhang, Y Savaria, S Zhao, G Mordido, M Sawan, F Leduc-Primeau EMBC 2022, 2022 | 2 | 2022 |
| Representing a neural network utilizing paths within the network to improve a performance of the neural network A Keller, GFT Mordido, NJ Gamboa, MJ Van Keirsbilck US Patent App. 17/672,543, 2022 | 2 | 2022 |
| Assessing Image and Text Generation With Topological Analysis and Fuzzy Logic G Mordido, J Niedermeier, C Meinel WACV 2021, 2021 | 2 | 2021 |
| Automatic Organisation and Quality Analysis of User-Generated Content with Audio Fingerprinting G Mordido, J Magalhães, S Cavaco EUSIPCO 2017, 2017 | 2 | 2017 |
| Lookbehind Optimizer: k steps back, 1 step forward G Mordido, P Malviya, A Baratin, S Chandar | 1 | 2023 |
christoph meinelHasso Plattner Institute / German University of Digital Science在 hpi.de 的电子邮件经过验证
