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2020 – today
- 2022
[i11]Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar:
First is Better Than Last for Training Data Influence. CoRR abs/2202.11844 (2022)- [i10]Chih-Kuan Yeh, Kuan-Yun Lee, Frederick Liu, Pradeep Ravikumar:
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations. CoRR abs/2202.11919 (2022) - 2021
- [c10]Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha:
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. NeurIPS 2021: 14980-14992 - [i9]Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha:
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. CoRR abs/2106.15728 (2021) - [i8]Srinadh Bhojanapalli, Ayan Chakrabarti, Andreas Veit, Michal Lukasik, Himanshu Jain, Frederick Liu, Yin-Wen Chang, Sanjiv Kumar:
Leveraging redundancy in attention with Reuse Transformers. CoRR abs/2110.06821 (2021) - [i7]Frederick Liu, Siamak Shakeri, Hongkun Yu, Jing Li:
EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks. CoRR abs/2110.08426 (2021) - 2020
- [c9]Garima Pruthi, Frederick Liu, Satyen Kale, Mukund Sundararajan:
Estimating Training Data Influence by Tracing Gradient Descent. NeurIPS 2020 - [i6]Garima Pruthi, Frederick Liu, Mukund Sundararajan, Satyen Kale:
Estimating Training Data Influence by Tracking Gradient Descent. CoRR abs/2002.08484 (2020) - [i5]Frederick Liu, Amir Najmi, Mukund Sundararajan:
The Penalty Imposed by Ablated Data Augmentation. CoRR abs/2006.04769 (2020)
2010 – 2019
- 2019
- [j1]Shomir Wilson, Florian Schaub, Frederick Liu, Kanthashree Mysore Sathyendra, Daniel Smullen, Sebastian Zimmeck, Rohan Ramanath, Peter Story, Fei Liu, Norman M. Sadeh, Noah A. Smith:
Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations. ACM Trans. Web 13(1): 1:1-1:29 (2019) - [c8]Frederick Liu, Besim Avci:
Incorporating Priors with Feature Attribution on Text Classification. ACL (1) 2019: 6274-6283 - [i4]Frederick Liu, Besim Avci:
Incorporating Priors with Feature Attribution on Text Classification. CoRR abs/1906.08286 (2019) - 2018
- [c7]Frederick Liu, Han Lu, Graham Neubig:
Handling Homographs in Neural Machine Translation. NAACL-HLT 2018: 1336-1345 - [i3]Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng:
Differentially-Private "Draw and Discard" Machine Learning. CoRR abs/1807.04369 (2018) - 2017
- [c6]Frederick Liu, Han Lu, Chieh Lo, Graham Neubig:
Learning Character-level Compositionality with Visual Features. ACL (1) 2017: 2059-2068 - [i2]Frederick Liu, Han Lu, Chieh Lo, Graham Neubig:
Learning Character-level Compositionality with Visual Features. CoRR abs/1704.04859 (2017) - [i1]Frederick Liu, Han Lu, Graham Neubig:
Handling Homographs in Neural Machine Translation. CoRR abs/1708.06510 (2017) - 2016
- [c5]Frederick Liu, Shomir Wilson, Florian Schaub, Norman M. Sadeh:
Analyzing Vocabulary Intersections of Expert Annotations and Topic Models for Data Practices in Privacy Policies. AAAI Fall Symposia 2016 - [c4]Shomir Wilson, Florian Schaub
, Aswarth Abhilash Dara, Frederick Liu, Sushain Cherivirala, Pedro Giovanni Leon, Mads Schaarup Andersen, Sebastian Zimmeck, Kanthashree Mysore Sathyendra, N. Cameron Russell, Thomas B. Norton, Eduard H. Hovy, Joel R. Reidenberg, Norman M. Sadeh:
The Creation and Analysis of a Website Privacy Policy Corpus. ACL (1) 2016 - [c3]Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, Jean Oh, Chris Dyer:
Attention-based Multimodal Neural Machine Translation. WMT 2016: 639-645 - [c2]Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman M. Sadeh, Fei Liu, Noah A. Smith, Frederick Liu:
Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work? WWW 2016: 133-143 - 2014
- [c1]Frederick Liu, Jeremy Chiaming Yang, Jane Yung-jen Hsu:
Learning Pronunciation and Accent from The Crowd. HCOMP 2014
Coauthor Index
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