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Hunter Lang
Hunter Lang
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Titel
Zitiert von
Zitiert von
Jahr
Large language models are few-shot clinical information extractors
M Agrawal, S Hegselmann, H Lang, Y Kim, D Sontag
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
1562022
Understanding the role of momentum in stochastic gradient methods
I Gitman, H Lang, P Zhang, L Xiao
Advances in Neural Information Processing Systems, 9630-9640, 2019
912019
TabLLM: Few-shot classification of tabular data with large language models
S Hegselmann, A Buendia, H Lang, M Agrawal, X Jiang, D Sontag
International Conference on Artificial Intelligence and Statistics, 5549-5581, 2023
762023
Co-training improves prompt-based learning for large language models
H Lang, MN Agrawal, Y Kim, D Sontag
International Conference on Machine Learning, 11985-12003, 2022
332022
Using statistics to automate stochastic optimization
H Lang, P Zhang, L Xiao
Advances in Neural Information Processing Systems, 9540-9550, 2019
282019
Self-supervised self-supervision by combining deep learning and probabilistic logic
H Lang, H Poon
Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 4978, 2021
132021
Optimality of approximate inference algorithms on stable instances
H Lang, D Sontag, A Vijayaraghavan
International Conference on Artificial Intelligence and Statistics, 1157-1166, 2018
12*2018
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
H Mozannar, H Lang, D Wei, P Sattigeri, S Das, D Sontag
International Conference on Artificial Intelligence and Statistics, 10520-10545, 2023
112023
Training Subset Selection for Weak Supervision
H Lang, A Vijayaraghavan, D Sontag
Advances in Neural Information Processing Systems 35, 16023-16036, 2022
112022
Statistical adaptive stochastic gradient methods
P Zhang, H Lang, Q Liu, L Xiao
arXiv preprint arXiv:2002.10597, 2020
92020
Leveraging time irreversibility with order-contrastive pre-training
MN Agrawal*, H Lang*, M Offin, L Gazit, D Sontag
International Conference on Artificial Intelligence and Statistics, 2330-2353, 2022
82022
Block stability for MAP inference
H Lang, D Sontag, A Vijayaraghavan
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
62019
Beyond perturbation stability: LP recovery guarantees for map inference on noisy stable instances
H Lang*, A Reddy*, D Sontag, A Vijayaraghavan
International Conference on Artificial Intelligence and Statistics, 3043-3051, 2021
42021
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning
P Hitzler, MK Sarker
Neuro-Symbolic Artificial Intelligence: The State of the Art 342, 311, 2022
32022
Graph cuts always find a global optimum for Potts models (with a catch)
H Lang, D Sontag, A Vijayaraghavan
International Conference on Machine Learning, 5990-5999, 2021
22021
Self-supervised self supervision by combining probabilistic logic with deep learning
H Poon, L Hunter
US Patent 11,755,939, 2023
2023
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