| Neural audio synthesis of musical notes with wavenet autoencoders J Engel, C Resnick, A Roberts, S Dieleman, M Norouzi, D Eck, ... International Conference on Machine Learning, 1068-1077, 2017 | 701 | 2017 |
| Pommerman: A multi-agent playground C Resnick, W Eldridge, D Ha, D Britz, J Foerster, J Togelius, K Cho, ... arXiv preprint arXiv:1809.07124, 2018 | 99 | 2018 |
| Capacity, bandwidth, and compositionality in emergent language learning C Resnick, A Gupta, J Foerster, AM Dai, K Cho Proc. of the 19th International Conference on Autonomous Agents and …, 2019 | 50 | 2019 |
| Backplay:" man muss immer umkehren" C Resnick, R Raileanu, S Kapoor, A Peysakhovich, K Cho, J Bruna arXiv preprint arXiv:1807.06919, 2018 | 41 | 2018 |
| Generating music with deep neural networks J Engel, M Norouzi, K Simonyan, A Roberts, C Resnick, SEL Dieleman, ... US Patent 10,068,557, 2018 | 37 | 2018 |
| Ridge rider: Finding diverse solutions by following eigenvectors of the hessian J Parker-Holder, L Metz, C Resnick, H Hu, A Lerer, A Letcher, ... Advances in Neural Information Processing Systems 33, 753-765, 2020 | 25 | 2020 |
| Audio Deepdream: Optimizing raw audio with convolutional networks D Ardila, C Resnick, A Roberts, D Eck | 25 | 2016 |
| Multi-agent path finding for precedence-constrained goal sequences H Zhang, J Chen, J Li, B Williams, S Koenig International Joint Conference on Autonomous Agents and Multiagent Systems …, 2022 | 15 | 2022 |
| Vehicle communication strategies for simulated highway driving C Resnick, I Kulikov, K Cho, J Weston Proceedings of the 1st Workshop on Emergent Communication, NIPS 2017, 2018 | 15* | 2018 |
| Interactive musical improvisation with Magenta A Roberts, J Engel, C Hawthorne, I Simon, E Waite, S Oore, N Jaques, ... Proc. NIPS, 2016 | 15 | 2016 |
| Compositionality and capacity in emergent languages A Gupta, C Resnick, J Foerster, A Dai, K Cho Proceedings of the 5th Workshop on Representation Learning for NLP, 34-38, 2020 | 13 | 2020 |
| Probing the state of the art: A critical look at visual representation evaluation C Resnick, Z Zhan, J Bruna arXiv preprint arXiv:1912.00215, 2019 | 13 | 2019 |
| In-distribution interpretability for challenging modalities C Heiß, R Levie, C Resnick, G Kutyniok, J Bruna arXiv preprint arXiv:2007.00758, 2020 | 10 | 2020 |
| Causal Scene BERT: Improving object detection by searching for challenging groups of data C Resnick, O Litany, A Kar, K Kreis, J Lucas, K Cho, S Fidler arXiv preprint arXiv:2202.03651, 2022 | 7* | 2022 |
| Pommerman & NeurIPS 2018: Multi-Agent Competition C Resnick, C Gao, G Márton, T Osogami, L Pang, T Takahashi The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 7 | 2020 |
| Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders, 2017 J Engel, C Resnick, A Roberts, S Dieleman, D Eck, K Simonyan, ... Google Scholar Google Scholar Digital Library Digital Library, 2017 | 6 | 2017 |
| Model ai assignments 2019 TW Neller, R Sooriamurthi, M Guerzhoy, L Zhang, P Talaga, C Archibald, ... Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9751-9753, 2019 | 4 | 2019 |
| Model AI Assignments 2020 TW Neller, S Keeley, M Guerzhoy, W Hoenig, J Li, S Koenig, A Soni, ... Proceedings of the AAAI conference on artificial intelligence 34 (09), 13509 …, 2020 | 2 | 2020 |
| Depth First Learning: Learning to Understand Machine Learning A Oliver, S Bhupatiraju, C Resnick, KK Agrawal | 1 | 2018 |
| Identifying, Addressing, and Understanding Challenging Cases in Machine Learning C Resnick New York University, 2022 | | 2022 |
