دنبال کردن
Dale Schuurmans
Dale Schuurmans
University of Alberta, Google DeepMind
ایمیل تأیید شده در cs.ualberta.ca - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Chain of thought prompting elicits reasoning in large language models‏
J Wei, X Wang, D Schuurmans, M Bosma, E Chi, Q Le, D Zhou‏
Advances in Neural Information Processing Systems 35, 2022‏
129562022
Self-consistency improves chain of thought reasoning in language models‏
X Wang, J Wei, D Schuurmans, Q Le, E Chi, S Narang, A Chowdhery, ...‏
arXiv preprint arXiv:2203.11171, 2022‏
3101*2022
Least-to-most prompting enables complex reasoning in large language models‏
D Zhou, N Schärli, L Hou, J Wei, N Scales, X Wang, D Schuurmans, C Cui, ...‏
arXiv preprint arXiv:2205.10625, 2022‏
13182022
An optimistic perspective on offline reinforcement learning‏
R Agarwal, D Schuurmans, M Norouzi‏
International conference on machine learning, 104-114, 2020‏
749*2020
Maximum margin clustering‏
L Xu, J Neufeld, B Larson, D Schuurmans‏
Advances in neural information processing systems 17, 2004‏
6422004
Bridging the gap between value and policy based reinforcement learning‏
O Nachum, M Norouzi, K Xu, D Schuurmans‏
Advances in neural information processing systems 30, 2017‏
5652017
What learning algorithm is in-context learning? investigations with linear models‏
E Akyürek, D Schuurmans, J Andreas, T Ma, D Zhou‏
arXiv preprint arXiv:2211.15661, 2022‏
4832022
Advances in Large-Margin Classifiers‏
PJ Bartlett, B Schölkopf, D Schuurmans, AJ Smola‏
MIT Press 155, 156, 2000‏
482*2000
Learning with a Strong Adversary‏
R Huang, B Xu, D Schuurmans, C Szepesvari‏
https://arxiv.org/abs/1511.03034, 2015‏
4642015
Emergent abilities of large language models‏
B Zoph, C Raffel, D Schuurmans, D Yogatama, D Zhou, D Metzler, EH Chi, ...‏
4192022
Automatic Gait Optimization With Gaussian Process Regression.‏
DJ Lizotte, T Wang, MH Bowling, D Schuurmans‏
IJCAI 7, 944-949, 2007‏
4162007
Augmenting naive bayes classifiers with statistical language models‏
F Peng, D Schuurmans, S Wang‏
Information Retrieval 7, 317-345, 2004‏
3942004
Boosting in the limit: Maximizing the margin of learned ensembles‏
AJ Grove, D Schuurmans‏
AAAI/IAAI, 692-699, 1998‏
3861998
Discriminative batch mode active learning‏
Y Guo, D Schuurmans‏
Advances in neural information processing systems 20, 2007‏
3802007
On the global convergence rates of softmax policy gradient methods‏
J Mei, C Xiao, C Szepesvari, D Schuurmans‏
International conference on machine learning, 6820-6829, 2020‏
3292020
Understanding the impact of entropy on policy optimization‏
Z Ahmed, N Le Roux, M Norouzi, D Schuurmans‏
International conference on machine learning, 151-160, 2019‏
2922019
Language independent authorship attribution with character level n-grams‏
F Peng, D Schuurmans, V Keselj, S Wang‏
10th Conference of the European Chapter of the Association for Computational …, 2003‏
289*2003
Combining Naive Bayes and n-Gram Language Models for Text Classification‏
F Peng, D Schuurmans‏
European Conference on Information Retrieval, 335-350, 2003‏
2752003
Algaedice: Policy gradient from arbitrary experience‏
O Nachum, B Dai, I Kostrikov, Y Chow, L Li, D Schuurmans‏
arXiv preprint arXiv:1912.02074, 2019‏
2722019
Reward augmented maximum likelihood for neural structured prediction‏
M Norouzi, S Bengio, N Jaitly, M Schuster, Y Wu, D Schuurmans‏
Advances In Neural Information Processing Systems 29, 2016‏
2602016
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20