| Multi-Game Decision Transformers KH Lee, O Nachum, M Yang, L Lee, D Freeman, W Xu, S Guadarrama, ... Neural Information Processing Systems (NeurIPS) 2022, 2022 | 188 | 2022 |
| Prioritized training on points that are learnable, worth learning, and not yet learned S Mindermann, M Razzak, W Xu, A Kirsch, M Sharma, A Morisot, ... International Conference on Machine Learning - Subset Selection Workshop, 2021 | 97 | 2021 |
| Kto: Model alignment as prospect theoretic optimization K Ethayarajh, W Xu, N Muennighoff, D Jurafsky, D Kiela arXiv preprint arXiv:2402.01306, 2024 | 90 | 2024 |
| Language model cascades D Dohan, W Xu, A Lewkowycz, J Austin, D Bieber, RG Lopes, Y Wu, ... ICML Beyond Bayes: Paths Towards Universal Reasoning Systems, 2022 | 69 | 2022 |
| Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations W Xu, RTQ Chen, X Li, D Duvenaud International Conference on Artificial Intelligence and Statistics, 2021 | 49 | 2021 |
| Noisy Feature Mixup SH Lim, NB Erichson, F Utrera, W Xu, MW Mahoney International Conference on Learning Representations, 2021 | 33 | 2021 |
| Deep latent state space models for time-series generation L Zhou, M Poli, W Xu, S Massaroli, S Ermon International Conference on Machine Learning, 42625-42643, 2023 | 21 | 2023 |
| Noisymix: Boosting robustness by combining data augmentations, stability training, and noise injections NB Erichson, SH Lim, F Utrera, W Xu, Z Cao, MW Mahoney arXiv preprint arXiv:2202.01263 1, 2022 | 19 | 2022 |
| Neural functional transformers A Zhou, K Yang, Y Jiang, K Burns, W Xu, S Sokota, JZ Kolter, C Finn Advances in neural information processing systems 36, 2024 | 16 | 2024 |
| Human-centered loss functions (halos) K Ethayarajh, W Xu, D Jurafsky, D Kiela Technical report, Contextual AI, 2023 | 12 | 2023 |
| NoisyMix: Boosting model robustness to common corruptions B Erichson, SH Lim, W Xu, F Utrera, Z Cao, M Mahoney International Conference on Artificial Intelligence and Statistics, 4033-4041, 2024 | 8 | 2024 |
| Language model cascades, 2022 D Dohan, W Xu, A Lewkowycz, J Austin, D Bieber, RG Lopes, Y Wu, ... URL https://arxiv. org/abs/2207.10342, 2022 | 7 | 2022 |
| Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations M Poli, W Xu, S Massaroli, C Meng, K Kim, S Ermon Neural Information Processing Systems (NeurIPS) 2022, 2022 | 3 | 2022 |
| Model Alignment as Prospect Theoretic Optimization K Ethayarajh, W Xu, N Muennighoff, D Jurafsky, D Kiela Forty-first International Conference on Machine Learning, 0 | 1 | |
| Prioritized training on points that are learnable, worth learning, and not yet learned (workshop version) S Mindermann, M Razzak, W Xu, A Kirsch, M Sharma, A Morisot, ... arXiv preprint arXiv:2107.02565, 2021 | | 2021 |
| Continuous-Depth Bayesian Neural Networks W Xu, RTQ Chen, X Li, D Duvenaud International Conference on Machine Learning - Uncertainty in Deep Learning …, 2020 | | 2020 |
| Revisiting Associative Compression: I Can’t Believe It’s Not Better W Xu, MJ Muckley, Y Dubois, K Ullrich | | |
Kawin EthayarajhStanford University在 stanford.edu 的电子邮件经过验证
