Report · Page 184

184
Center for Research on Foundation Models (CRFM)
Y Ji, Z Zhou, H Liu, and RV Davuluri. 2021. DNABERT: pre-trained Bidirectional Encoder Representations from Transformers
model for DNA-language in genome. Bioinformatics (2021).
Shengyu Jia, Tao Meng, Jieyu Zhao, and Kai-Wei Chang. 2020. Mitigating Gender Bias Amplification in Distribution by
Posterior Regularization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
Association for Computational Linguistics, Online, 2936–2942. https://doi.org/10.18653/v1/2020.acl-main.264
Zhihao Jia, James Thomas, Tod Warszawski, Mingyu Gao, Matei Zaharia, and Alex Aiken. 2019a. Optimizing DNN
Computation with Relaxed Graph Substitutions. SysML 2019 (2019).
Zhihao Jia, Matei Zaharia, and Alex Aiken. 2019b. Beyond Data and Model Parallelism for Deep Neural Networks. SysML
2019 (2019).
Zhengbao Jiang, Frank F. Xu, Jun Araki, and Graham Neubig. 2020. How Can We Know What Language Models Know?
Transactions of the Association for Computational Linguistics 8 (2020), 423–438. https://doi.org/10.1162/tacl_a_00324
Di Jin, Zhijing Jin, Joey Tianyi Zhou, and Peter Szolovits. 2020. Is bert really robust? a strong baseline for natural language
attack on text classification and entailment. In Proceedings of the AAAI conference on artificial intelligence, Vol. 34.
8018–8025.
Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, and Sheng
Yu. 2021. Biomedical question answering: A comprehensive review. arXiv preprint arXiv:2102.05281 (2021).
Wengong Jin, Regina Barzilay, and Tommi Jaakkola. 2018. Junction tree variational autoencoder for molecular graph
generation. In International Conference on Machine Learning. PMLR, 2323–2332.
Eun Seo Jo and Timnit Gebru. 2020. Lessons from archives: Strategies for collecting sociocultural data in machine learning.
In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. 306–316.
Gabbrielle M. Johnson. 2020. Algorithmic bias: on the implicit biases of social technology. Synthese (June 2020). https:
//doi.org/10.1007/s11229-020-02696-y
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019. Billion-scale similarity search with gpus. IEEE Transactions on Big
Data (2019).
Justin Johnson, Bharath Hariharan, Laurens Van Der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick. 2017. Clevr:
A diagnostic dataset for compositional language and elementary visual reasoning. In Proceedings of the IEEE conference
on computer vision and pattern recognition. 2901–2910.
Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, and Monojit Choudhury. 2020. The State and Fate of Linguistic
Diversity and Inclusion in the NLP World. In Proceedings of the 58th Annual Meeting of the Association for Computational
Linguistics. 6282–6293.
Norman P Jouppi, Cliff Young, Nishant Patil, David Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia,
Nan Boden, Al Borchers, et al. 2017. In-Datacenter Performance Analysis of a Tensor Processing Unit. In Proceedings of
the 44th Annual International Symposium on Computer Architecture. 1–12.
Kyle D. Julian and Mykel J. Kochenderfer. 2019. Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance
Systems. 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC) (Sep 2019). https://doi.org/10.1109/dasc43569.
2019.9081748
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Kathryn Tuny