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Dan Iter
Dan Iter
Computer Science, Stanford University, Microsoft
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Gpteval: Nlg evaluation using gpt-4 with better human alignment
Y Liu, D Iter, Y Xu, S Wang, R Xu, C Zhu
arXiv preprint arXiv:2303.16634, 2023
3572023
Identifying content for planned events across social media sites
H Becker, D Iter, M Naaman, L Gravano
Proceedings of the fifth ACM international conference on Web search and data …, 2012
2272012
From laptop to lambda: Outsourcing everyday jobs to thousands of transient functional containers
S Fouladi, F Romero, D Iter, Q Li, S Chatterjee, C Kozyrakis, M Zaharia, ...
2019 USENIX annual technical conference (USENIX ATC 19), 475-488, 2019
2172019
Generate rather than retrieve: Large language models are strong context generators
W Yu, D Iter, S Wang, Y Xu, M Ju, S Sanyal, C Zhu, M Zeng, M Jiang
arXiv preprint arXiv:2209.10063, 2022
1472022
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia
D Iter, JH Yoon, D Jurafsky
Workshop on Computational Linguistics and Clinical Psychology, 136–146, 2018
1152018
Automatic prompt optimization with" gradient descent" and beam search
R Pryzant, D Iter, J Li, YT Lee, C Zhu, M Zeng
arXiv preprint arXiv:2305.03495, 2023
802023
Pretraining with contrastive sentence objectives improves discourse performance of language models
D Iter, K Guu, L Lansing, D Jurafsky
arXiv preprint arXiv:2005.10389, 2020
802020
Omnivore: An optimizer for multi-device deep learning on cpus and gpus
S Hadjis, C Zhang, I Mitliagkas, D Iter, C Ré
arXiv preprint arXiv:1606.04487, 2016
762016
Automatic identification and presentation of twitter content for planned events
H Becker, F Chen, D Iter, M Naaman, L Gravano
Proceedings of the International AAAI Conference on Web and Social Media 5 …, 2011
642011
Generating adversarial examples for speech recognition
D Iter, J Huang, M Jermann
Stanford Technical Report, 2017
542017
Learnable structured clustering framework for deep metric learning
HO Song, S Jegelka, V Rathod, K Murphy
arXiv preprint arXiv:1612.01213 1 (2), 8, 2016
322016
Flipper: A systematic approach to debugging training sets
P Varma, D Iter, C De Sa, C Ré
Proceedings of the 2nd Workshop on Human-in-the-Loop Data Analytics, 1-5, 2017
282017
Socratic learning: Augmenting generative models to incorporate latent subsets in training data
P Varma, B He, D Iter, P Xu, R Yu, C De Sa, C Ré
arXiv preprint arXiv:1610.08123, 2016
242016
Socratic learning: Augmenting generative models to incorporate latent subsets in training data
P Varma, B He, D Iter, P Xu, R Yu, C De Sa, C Ré
arXiv preprint arXiv:1610.08123, 2016
242016
The trade-offs of domain adaptation for neural language models
D Grangier, D Iter
arXiv preprint arXiv:2109.10274, 2021
212021
Socratic learning: Correcting misspecified generative models using discriminative models
P Varma, B He, D Iter, P Xu, R Yu, C De Sa, C Ré
arXiv preprint arXiv:1610.08123, 2017
132017
Target tracking with kalman filtering, knn and lstms
D Iter, J Kuck, P Zhuang, CM Learning
CS229: Machine Learning, Stanford University, 2016
132016
How does in-context learning help prompt tuning?
S Sun, Y Liu, D Iter, C Zhu, M Iyyer
arXiv preprint arXiv:2302.11521, 2023
102023
Focus on what matters: Applying discourse coherence theory to cross document coreference
W Held, D Iter, D Jurafsky
arXiv preprint arXiv:2110.05362, 2021
82021
On the complementarity of data selection and fine tuning for domain adaptation
D Iter, D Grangier
arXiv preprint arXiv:2109.07591, 2021
72021
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