Pappas, Nikolaos

6 publications

NeurIPS 2023 VCC: Scaling Transformers to 128k Tokens or More by Prioritizing Important Tokens Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng

ICLR 2021 Deep Encoder, Shallow Decoder: Reevaluating Non-Autoregressive Machine Translation Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah Smith

ICLR 2021 Random Feature Attention Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah Smith, Lingpeng Kong

ICML 2020 Transformers Are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret

ICML 2019 Deep Residual Output Layers for Neural Language Generation Nikolaos Pappas, James Henderson

JAIR 2017 Explicit Document Modeling Through Weighted Multiple-Instance Learning Nikolaos Pappas, Andrei Popescu-Belis