Transformers

• Chefs' Random Tables: Non-Trigonometric Random Features
  Valerii Likhosherstov*, Krzysztof Choromanski*, Avinava Dubey*, Frederick Liu*, Tamas Sarlos, Adrian Weller.
  NeurIPS 2022.


• EncT5: A Framework for Fine-tuning T5 as Non-autoregressive Models
  Frederick Liu, Terry Huang, Shihang Lyu, Siamak Shakeri, Hongkun Yu, Jing Li.
  Arxiv 2021.

Attribution

• Estimating Training Data Influence by Tracing Gradient Descent
  Garima Pruthi*, Frederick Liu*, Satyen Kale, Mukund Sundararajan.
  NeurIPS 2020 (Spotlight). [code] [Google AI Blog Post] [faq]


• Incorporating Priors with Feature Attribution on Text Classification
  Frederick Liu, Besim Avci.
  ACL 2019.

Machine Translation

• Handling Homographs in Neural Machine Translation
  Frederick Liu*, Han Lu*, Graham Neubig.
  NAACL 2018. [code] [evaluation code]


• Learning Character-level Compositionality with Visual Features
  Frederick Liu, Han Lu, Chieh Lo, Graham Neubig.
  ACL 2017. [code] [dataset]