Kai Sheng Tai

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 14

Top Topics

Sparsity Inducing

Aggregation Queries

Semantic Representations

Linear Classifiers

Top Venues

Proc. VLDB Endow.

Publications

Jordan Cotler, Kai Sheng Tai, Felipe Hernández, Blake Elias, David Sussillo
Analyzing Populations of Neural Networks via Dynamical Model Embedding. CoRR (2023)
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 (2023)
Kai Sheng Tai, Tai-Peng Tian, Ser-Nam Lim
Spartan: Differentiable Sparsity via Regularized Transportation. CoRR (2022)
Kai Sheng Tai, Tai-Peng Tian, Ser Nam Lim
Spartan: Differentiable Sparsity via Regularized Transportation. NeurIPS (2022)
Kai Sheng Tai, Peter Bailis, Gregory Valiant
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training. ICML (2021)
Kai Sheng Tai, Peter Bailis, Gregory Valiant
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training. CoRR (2021)
Kai Sheng Tai, Peter Bailis, Gregory Valiant
Equivariant Transformer Networks. ICML (2019)
Vatsal Sharan, Kai Sheng Tai, Peter Bailis, Gregory Valiant
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data. ICML (2019)
Kai Sheng Tai, Peter Bailis, Gregory Valiant
Equivariant Transformer Networks. CoRR (2019)
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) (2018)
Kai Sheng Tai, Vatsal Sharan, Peter Bailis, Gregory Valiant
Sketching Linear Classifiers over Data Streams. SIGMOD Conference (2018)
Edward Gan, Jialin Ding, Kai Sheng Tai, Vatsal Sharan, Peter Bailis
Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries. CoRR (2018)
Kai Sheng Tai, Vatsal Sharan, Peter Bailis, Gregory Valiant
Finding Heavily-Weighted Features in Data Streams. CoRR (2017)
Vatsal Sharan, Kai Sheng Tai, Peter Bailis, Gregory Valiant
There and Back Again: A General Approach to Learning Sparse Models. CoRR (2017)
Kai Sheng Tai, Richard Socher, Christopher D. Manning
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. ACL (1) (2015)
Kai Sheng Tai, Richard Socher, Christopher D. Manning
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. CoRR (2015)