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 | 4636 | 2014 |
Advances in pre-training distributed word representations T Mikolov, E Grave, P Bojanowski, C Puhrsch, A Joulin arXiv preprint arXiv:1712.09405, 2017 | 1763 | 2017 |
Wav2letter: an end-to-end convnet-based speech recognition system R Collobert, C Puhrsch, G Synnaeve arXiv preprint arXiv:1609.03193, 2016 | 361 | 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 | 275 | 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 | 189 | 2022 |
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 | 136 | 2024 |
Learning invariants using decision trees S Krishna, C Puhrsch, T Wies arXiv preprint arXiv:1501.04725, 2015 | 41 | 2015 |
Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps D Eigen New York University, 2015 | 2 | 2015 |
HAC: The Hacker-Cup AI Competition W Yang, M Saroufim, J Issacson, L Antiga, G Bowyer, C Puhrsch, ... NeurIPS 2024 Competition Track, 0 | | |