Liu Ziyin

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Masahito UedaUniversity of TokyoVerified email at phys.s.u-tokyo.ac.jp
Paul Pu LiangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Louis-Philippe MorencyAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Kangqiao LiuSchool of Science, Key Laboratory of High Performance Scientific Computation, Xihua UniversityVerified email at mail.xhu.edu.cn
Zhikang T. WangUniversity of TokyoVerified email at cat.phys.s.u-tokyo.ac.jp
Takashi MoriKeio UniversityVerified email at rk.phys.keio.ac.jp
Zihao WangHKUSTVerified email at cse.ust.hk
Botao LiLPSMVerified email at lpsm.paris
James B. SimonUC BerkeleyVerified email at berkeley.edu
Ekdeep Singh LubanaUniversity of MichiganVerified email at umich.edu
Hidenori TanakaGroup Leader, NTT Research at Harvard UniversityVerified email at fas.harvard.edu
Xiangming MengThe Zhejiang University-University of Illinois Urbana-Champaign Institute, Zhejiang UniversityVerified email at intl.zju.edu.cn
Tomer GalantiMassachusetts Institute of TechnologyVerified email at mit.edu
Kentaro MinamiPayPay CorporationVerified email at ktrmnm.jp
Kentaro ImajoPreferred NetworksVerified email at imoz.jp
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Hongchao LiUniversity of TokyoVerified email at g.ecc.u-tokyo.ac.jp
Z zhiyiSouthwest Jiaotong UniversityVerified email at my.swjtu.edu.cn
Makoto YamadaOkinawa Institute of Science and TechnologyVerified email at oist.jp

Liu Ziyin

MIT and NTT Research

Verified email at mit.edu - Homepage

deep learning physics neural network symmetry


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Think locally, act globally: Federated learning with local and global representations PP Liang, T Liu, L Ziyin, NB Allen, RP Auerbach, D Brent, ... NeurIPS 2019 Federated Learning Workshop, 2020	491	2020
Multimodal language analysis with recurrent multistage fusion PP Liang, Z Liu, A Zadeh, LP Morency EMNLP 2018, 2018	199	2018
Deep Gamblers: Learning to Abstain with Portfolio Theory L Ziyin, Z Wang, PP Liang, R Salakhutdinov, LP Morency, M Ueda NeurIPS 2019, 2019	114*	2019
Neural Networks Fail to Learn Periodic Functions and How to Fix It L Ziyin, T Hartwig, M Ueda NeurIPS 2020, 2020	83	2020
Strength of Minibatch Noise in SGD L Ziyin, K Liu, T Mori, M Ueda ICLR 2022 Spotlight, 2021	37*	2021
Noise and Fluctuation of Finite-Learning-Rate Stochastic Gradient Descent K Liu, L Ziyin, M Ueda ICML 2021, 2020	28*	2020
SGD with a Constant Large Learning Rate Can Converge to Local Maxima L Ziyin, B Li, JB Simon, M Ueda ICLR 2022 Spotlight, 2021	27*	2021
Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment PP Liang, P Wu, L Ziyin, LP Morency, R Salakhutdinov ACM Multimedia 2021, 2020	25	2020
Power-law escape rate of SGD T Mori, L Ziyin, K Liu, M Ueda ICML 2022, 2022	21	2022
Learning not to learn in the presence of noisy labels L Ziyin, B Chen, R Wang, PP Liang, R Salakhutdinov, LP Morency, ... arXiv preprint arXiv:2002.06541, 2020	20*	2020
An investigation of how label smoothing affects generalization B Chen, L Ziyin, Z Wang, PP Liang arXiv preprint arXiv:2010.12648, 2020	19	2020
LaProp: Separating momentum and adaptivity in adam L Ziyin, ZT Wang, M Ueda arXiv preprint arXiv:2002.04839, 2020	19*	2020
Posterior Collapse of a Linear Latent Variable Model Z Wang, L Ziyin NeurIPS 2022 Oral, 2022	17	2022
On the stepwise nature of self-supervised learning JB Simon, M Knutins, L Ziyin, D Geisz, AJ Fetterman, J Albrecht ICML 2023, 2023	15	2023
What shapes the loss landscape of self-supervised learning? L Ziyin, ES Lubana, M Ueda, H Tanaka ICLR 2023, 2022	13	2022
Exact solutions of a deep linear network L Ziyin, B Li, X Meng NeurIPS 2022, 2022	10	2022
Probabilistic stability of stochastic gradient descent L Ziyin, B Li, T Galanti, M Ueda arXiv preprint arXiv:2303.13093, 2023	9	2023
Zeroth, first, and second-order phase transitions in deep neural networks L Ziyin, M Ueda Physical Review Research, 2022	8*	2022
spred: Solving L1 Penalty with SGD L Ziyin, Z Wang ICML 2023, 2023	6	2023
Universal Thermodynamic Uncertainty Relation in Non-Equilibrium Dynamics L Ziyin, M Ueda Physical Review Reseach, 2022	5	2022

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