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Yiding Jiang
Yiding Jiang
PhD Student, Carnegie Mellon University
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Fantastic Generalization Measures and Where to Find Them
Y Jiang, B Neyshabur, H Mobahi, D Krishnan, S Bengio
International Conference on Learning Representations, 2019
4002019
Predicting the generalization gap in deep networks with margin distributions
Y Jiang, D Krishnan, H Mobahi, S Bengio
International Conference on Learning Representations, 2018
1722018
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Y Jiang, S Gu, K Murphy, C Finn
Advances in Neural Information Processing Systems, 2019
1502019
Observational Overfitting in Reinforcement Learning
X Song, Y Jiang, S Tu, Y Du, B Neyshabur
International Conference on Learning Representations, 2020
1022020
Assessing generalization of sgd via disagreement
Y Jiang, V Nagarajan, C Baek, JZ Kolter
International Conference on Learning Representations, 2021
432021
Neurips 2020 competition: Predicting generalization in deep learning
Y Jiang, P Foret, S Yak, DM Roy, H Mobahi, GK Dziugaite, S Bengio, ...
arXiv preprint arXiv:2012.07976, 2020
352020
Adversarial grasp objects
D Wang, D Tseng, P Li, Y Jiang, M Guo, M Danielczuk, J Mahler, ...
2019 IEEE 15th International Conference on Automation Science and …, 2019
182019
Agreement-on-the-line: Predicting the performance of neural networks under distribution shift
C Baek, Y Jiang, A Raghunathan, JZ Kolter
Advances in Neural Information Processing Systems 35, 19274-19289, 2022
162022
Methods and analysis of the first competition in predicting generalization of deep learning
Y Jiang, P Natekar, M Sharma, SK Aithal, D Kashyap, N Subramanyam, ...
NeurIPS 2020 Competition and Demonstration Track, 170-190, 2021
132021
Permutation equivariant neural functionals
A Zhou, K Yang, K Burns, Y Jiang, S Sokota, JZ Kolter, C Finn
arXiv preprint arXiv:2302.14040, 2023
22023
Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration
JN Kaur, Y Jiang, PP Liang
arXiv preprint arXiv:2104.11902, 2021
22021
Learning Options via Compression
Y Jiang, E Liu, B Eysenbach, JZ Kolter, C Finn
Advances in Neural Information Processing Systems 35, 21184-21199, 2022
12022
Uncertainty-Driven Exploration for Generalization in Reinforcement Learning
Y Jiang, JZ Kolter, R Raileanu
Deep Reinforcement Learning Workshop NeurIPS 2022, 0
1
Neural Functional Transformers
A Zhou, K Yang, Y Jiang, K Burns, W Xu, S Sokota, JZ Kolter, C Finn
arXiv preprint arXiv:2305.13546, 2023
2023
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