| Depth map prediction from a single image using a multi-scale deep network D Eigen, C Puhrsch, R Fergus Advances in neural information processing systems 27, 2014 | 4383 | 2014 |
| Advances in pre-training distributed word representations T Mikolov, E Grave, P Bojanowski, C Puhrsch, A Joulin arXiv preprint arXiv:1712.09405, 2017 | 1696 | 2017 |
| Wav2letter: an end-to-end convnet-based speech recognition system R Collobert, C Puhrsch, G Synnaeve arXiv preprint arXiv:1609.03193, 2016 | 352 | 2016 |
| Very deep multilingual convolutional neural networks for LVCSR T Sercu, C Puhrsch, B Kingsbury, Y LeCun 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 272 | 2016 |
| Torchaudio: Building blocks for audio and speech processing YY Yang, M Hira, Z Ni, A Astafurov, C Chen, C Puhrsch, D Pollack, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 157 | 2022 |
| Learning invariants using decision trees S Krishna, C Puhrsch, T Wies arXiv preprint arXiv:1501.04725, 2015 | 39 | 2015 |
| PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation J Ansel, E Yang, H He, N Gimelshein, A Jain, M Voznesensky, B Bao, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 6 | 2024 |
| Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps D Eigen New York University, 2015 | 2 | 2015 |
