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2020 – today
- 2023
[i9]Jordan Cotler, Kai Sheng Tai, Felipe Hernández, Blake Elias, David Sussillo:
Analyzing Populations of Neural Networks via Dynamical Model Embedding. CoRR abs/2302.14078 (2023)- [i8]Matthew Walmer, Rose Catherine Kanjirathinkal, Kai Sheng Tai, Keyur Muzumdar, Tai-Peng Tian, Abhinav Shrivastava:
Multi-entity Video Transformers for Fine-Grained Video Representation Learning. CoRR abs/2311.10873 (2023) - 2022
- [c6]Kai Sheng Tai, Tai-Peng Tian, Ser Nam Lim:
Spartan: Differentiable Sparsity via Regularized Transportation. NeurIPS 2022 - [i7]Kai Sheng Tai, Tai-Peng Tian, Ser-Nam Lim:
Spartan: Differentiable Sparsity via Regularized Transportation. CoRR abs/2205.14107 (2022) - 2021
- [b1]Kai Sheng Tai:
Statistical learning under resource constraints. Stanford University, USA, 2021 - [c5]Kai Sheng Tai, Peter Bailis, Gregory Valiant:
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training. ICML 2021: 10065-10075 - [i6]Kai Sheng Tai, Peter Bailis, Gregory Valiant:
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training. CoRR abs/2102.08622 (2021)
2010 – 2019
- 2019
- [c4]Vatsal Sharan, Kai Sheng Tai, Peter Bailis, Gregory Valiant:
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data. ICML 2019: 5690-5700 - [c3]Kai Sheng Tai, Peter Bailis, Gregory Valiant:
Equivariant Transformer Networks. ICML 2019: 6086-6095 - [i5]Kai Sheng Tai, Peter Bailis, Gregory Valiant:
Equivariant Transformer Networks. CoRR abs/1901.11399 (2019) - 2018
- [j1]Edward Gan
, Jialin Ding, Kai Sheng Tai, Vatsal Sharan, Peter Bailis:
Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries. Proc. VLDB Endow. 11(11): 1647-1660 (2018) - [c2]Kai Sheng Tai, Vatsal Sharan, Peter Bailis, Gregory Valiant:
Sketching Linear Classifiers over Data Streams. SIGMOD Conference 2018: 757-772 - [i4]Edward Gan, Jialin Ding, Kai Sheng Tai, Vatsal Sharan, Peter Bailis:
Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries. CoRR abs/1803.01969 (2018) - 2017
- [i3]Vatsal Sharan, Kai Sheng Tai, Peter Bailis, Gregory Valiant:
There and Back Again: A General Approach to Learning Sparse Models. CoRR abs/1706.08146 (2017) - [i2]Kai Sheng Tai, Vatsal Sharan, Peter Bailis, Gregory Valiant:
Finding Heavily-Weighted Features in Data Streams. CoRR abs/1711.02305 (2017) - 2015
- [c1]Kai Sheng Tai, Richard Socher, Christopher D. Manning:
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. ACL (1) 2015: 1556-1566 - [i1]Kai Sheng Tai, Richard Socher, Christopher D. Manning:
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. CoRR abs/1503.00075 (2015)
Coauthor Index
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