Tengyu ma dblp
WebJun 8, 2024 · Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma Recent works in self-supervised learning have advanced the state-of-the-art by relying on the contrastive … WebFeb 1, 2024 · I am an associate professor of Electrical and Computer Engineering and Computer Science (secondary) in Princeton University and a member of the Theoretical Machine Learning Group. Previously, I was a member of the IAS and an assistant professor at USC for three years.
Tengyu ma dblp
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WebJan 4, 2024 · Garrett Thomas, Yuping Luo, Tengyu Ma: Safe Reinforcement Learning by Imagining the Near Future. NeurIPS 2024: 13859-13869 [c10] Yuping Luo, Tengyu Ma: Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations. NeurIPS 2024: 25621-25632 [i10]
WebTengyu MA. Stanford University. Verified email at stanford.edu - Homepage. Machine Learning Deep Learning Theory Machine Learning ... T Yu, G Thomas, L Yu, S Ermon, JY Zou, S Levine, C Finn, T Ma. Advances in Neural Information Processing Systems 33, 14129-14142, 2024. 416: 2024: Identity Matters in Deep Learning. M Hardt, T Ma. ICLR … WebTengyu Ma Stanford University [email protected] Abstract Deep learning algorithms can fare poorly when the training dataset suffers from heavy class-imbalance but the testing criterion requires good generalization on less frequent classes. We design two novel methods to improve performance in such scenarios.
WebSep 16, 2016 · Moritz Hardt, Tengyu Ma, Benjamin Recht We prove that stochastic gradient descent efficiently converges to the global optimizer of the maximum likelihood objective of an unknown linear time-invariant dynamical system from a sequence of noisy observations generated by the system. WebTengyu Ma, Long Ma, Xin Fan, Zhongxuan Luo, Risheng Liu: PIA: Parallel Architecture with Illumination Allocator for Joint Enhancement and Detection in Low-Light. ACM Multimedia 2024: 2070-2078 [i2] Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo: Toward Fast, Flexible, and Robust Low-Light Image Enhancement. CoRR abs/2204.10137 ( …
http://export.arxiv.org/abs/2204.10137
WebTengyu MA. Stanford University. Verified email at stanford.edu - Homepage. Machine Learning Deep Learning Theory Machine Learning ... T Yu, G Thomas, L Yu, S Ermon, … michaels on cactus and tatumWebJun 18, 2024 · Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, Tengyu Ma Deep learning algorithms can fare poorly when the training dataset suffers from heavy class … michaelson chapters 4 and 5WebJun 18, 2024 · Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, Tengyu Ma Deep learning algorithms can fare poorly when the training dataset suffers from heavy class-imbalance but the testing criterion requires good generalization on less frequent classes. We design two novel methods to improve performance in such scenarios. michaels on colemanWebJul 28, 2024 · Tengyu Ma export bibtex citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer ( What is the Explorer?) Litmaps ( What is Litmaps?) scite Smart Citations ( What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs how to change the view of sap guiWebNIPS 2016 (Rong Ge, Jason Lee, Tengyu Ma) (Best Student Paper) Polynomial-time Tensor Decompositions with Sum-of-squares. FOCS 2016 (Tengyu Ma, Jonathan Shi, David Steurer) Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality. michaels on broadway in vancouverWebApr 21, 2024 · Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo (Submitted on 21 Apr 2024) Abstract:Existing low-light image enhancement techniques are mostly not only difficult to deal with both visual quality and computational efficiency but also commonly invalid in unknown complex scenarios. In this paper, we develop a new michaels on broadway tucsonWebApr 21, 2024 · Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo (Submitted on 21 Apr 2024) Abstract:Existing low-light image enhancement techniques are mostly not only … michaelson chiropractic tyler tx