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ORCIDNikolaos Pappas 0002
Person information
- affiliation: University of Washington, USA
- affiliation (former): Idiap Research Institute, Martigny, Switzerland
- affiliation (former): University of the Aegean, Mytilene, Greece
Other persons with the same name
- Nikolaos Pappas 0001
![[0000-0003-4416-7702]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4416-7702")
— Linköping University, Norrköping, Sweden (and 2 more) - Nikolaos Pappas 0003 — Utrecht University, Department of Biology, The Netherlands
- Nikolaos Pappas 0004 — AWS AI Labs
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Journal Articles
- 2019
[j7]Nikolaos Pappas, James Henderson:
GILE: A Generalized Input-Label Embedding for Text Classification. Trans. Assoc. Comput. Linguistics 7: 139-155 (2019)- 2018
- [j6]Xiao Pu, Nikolaos Pappas, James Henderson, Andrei Popescu-Belis:
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation. Trans. Assoc. Comput. Linguistics 6: 635-649 (2018) - 2017
- [j5]Nikolaos Pappas, Miriam Redi, Mercan Topkara, Hongyi Liu, Brendan Jou, Tao Chen, Shih-Fu Chang:
Multilingual visual sentiment concept clustering and analysis. Int. J. Multim. Inf. Retr. 6(1): 51-70 (2017) - [j4]Nikolaos Pappas, Andrei Popescu-Belis:
Explicit Document Modeling through Weighted Multiple-Instance Learning. J. Artif. Intell. Res. 58: 591-626 (2017) - 2016
- [j3]Nikolaos Pappas, Andrei Popescu-Belis:
Adaptive sentiment-aware one-class collaborative filtering. Expert Syst. Appl. 43: 23-41 (2016) - 2015
- [j2]Nikolaos Pappas, Andrei Popescu-Belis:
Combining content with user preferences for non-fiction multimedia recommendation: a study on TED lectures. Multim. Tools Appl. 74(4): 1175-1197 (2015) - 2011
- [j1]Konstantinos Kotis, Andreas Papasalouros, George A. Vouros, Nikolaos Pappas, Konstantinos Zoumpatianos:
Enhancing the Collective Knowledge for the Engineering of Ontologies in Open and Socially Constructed Learning Spaces. J. Univers. Comput. Sci. 17(12): 1710-1742 (2011)
Conference and Workshop Papers
- 2022
- [c31]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. ACL (1) 2022: 7469-7483 - [c30]Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith:
Modeling Context With Linear Attention for Scalable Document-Level Translation. EMNLP (Findings) 2022: 6931-6939 - 2021
- [c29]Ivan Montero, Nikolaos Pappas, Noah A. Smith:
Sentence Bottleneck Autoencoders from Transformer Language Models. EMNLP (1) 2021: 1822-1831 - [c28]Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith:
Finetuning Pretrained Transformers into RNNs. EMNLP (1) 2021: 10630-10643 - [c27]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation. ICLR 2021 - [c26]Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong:
Random Feature Attention. ICLR 2021 - 2020
- [c25]Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith:
Grounded Compositional Outputs for Adaptive Language Modeling. EMNLP (1) 2020: 1252-1267 - [c24]Xuhui Zhou, Nikolaos Pappas, Noah A. Smith:
Multilevel Text Alignment with Cross-Document Attention. EMNLP (1) 2020: 5012-5025 - [c23]Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson:
Plug and Play Autoencoders for Conditional Text Generation. EMNLP (1) 2020: 6076-6092 - [c22]Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret:
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. ICML 2020: 5156-5165 - 2019
- [c21]Nikolaos Pappas, James Henderson:
Deep Residual Output Layers for Neural Language Generation. ICML 2019: 5000-5011 - 2018
- [c20]Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, James Henderson:
Document-Level Neural Machine Translation with Hierarchical Attention Networks. EMNLP 2018: 2947-2954 - [c19]Lesly Miculicich Werlen, Nikolaos Pappas, Dhananjay Ram, Andrei Popescu-Belis:
Self-Attentive Residual Decoder for Neural Machine Translation. NAACL-HLT 2018: 1366-1379 - [c18]Nikolaos Pappas, Lesly Miculicich Werlen, James Henderson:
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation. WMT 2018: 73-83 - 2017
- [c17]Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastião Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell:
The SUMMA Platform Prototype. EACL (Software Demonstrations) 2017: 116-119 - [c16]Nikolaos Pappas, Andrei Popescu-Belis:
Multilingual Hierarchical Attention Networks for Document Classification. IJCNLP(1) 2017: 1015-1025 - [c15]Xiao Pu, Nikolaos Pappas, Andrei Popescu-Belis:
Sense-Aware Statistical Machine Translation using Adaptive Context-Dependent Clustering. WMT 2017: 1-10 - 2016
- [c14]Nikolaos Pappas, Andrei Popescu-Belis:
Human versus Machine Attention in Document Classification: A Dataset with Crowdsourced Annotations. SocialNLP@EMNLP 2016: 94-100 - [c13]Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang:
Multilingual Visual Sentiment Concept Matching. ICMR 2016: 151-158 - [c12]Hongyi Liu, Brendan Jou, Tao Chen, Mercan Topkara, Nikolaos Pappas, Miriam Redi, Shih-Fu Chang:
Complura: Exploring and Leveraging a Large-scale Multilingual Visual Sentiment Ontology. ICMR 2016: 417-420 - 2015
- [c11]Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Redi, Mercan Topkara, Shih-Fu Chang:
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology. ACM Multimedia 2015: 159-168 - 2014
- [c10]Nikolaos Pappas, Andrei Popescu-Belis:
Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis. EMNLP 2014: 455-466 - [c9]Chidansh Amitkumar Bhatt, Nikolaos Pappas, Maryam Habibi, Andrei Popescu-Belis:
Multimodal Reranking of Content-based Recommendations for Hyperlinking Video Snippets. ICMR 2014: 225 - 2013
- [c8]Nikolaos Pappas, Andrei Popescu-Belis:
Combining content with user preferences for TED lecture recommendation. CBMI 2013: 47-52 - [c7]Nikolaos Pappas, Georgios Katsimpras, Efstathios Stamatatos:
Distinguishing the Popularity between Topics: A System for Up-to-Date Opinion Retrieval and Mining in the Web. CICLing (2) 2013: 197-209 - [c6]Hervé Bourlard, Marc Ferras, Nikolaos Pappas, Andrei Popescu-Belis, Steve Renals, Fergus McInnes, Peter Bell, Sandy Ingram, Maël Guillemot:
Processing and Linking Audio Events in Large Multimedia Archives: The EU inEvent Project. SLAM@INTERSPEECH 2013: 3-8 - [c5]Chidansh Amitkumar Bhatt, Nikolaos Pappas, Maryam Habibi, Andrei Popescu-Belis:
Idiap at MediaEval 2013: Search and Hyperlinking Task. MediaEval 2013 - [c4]Chidansh Amitkumar Bhatt, Andrei Popescu-Belis, Maryam Habibi, Sandy Ingram, Stefano Masneri, Fergus McInnes, Nikolaos Pappas, Oliver Schreer:
Multi-factor segmentation for topic visualization and recommendation: the MUST-VIS system. ACM Multimedia 2013: 365-368 - [c3]Nikolaos Pappas, Andrei Popescu-Belis:
Sentiment analysis of user comments for one-class collaborative filtering over ted talks. SIGIR 2013: 773-776 - 2012
- [c2]Nikolaos Pappas, Georgios Katsimpras, Efstathios Stamatatos:
An Agent-Based Focused Crawling Framework for Topic- and Genre-Related Web Document Discovery. ICTAI 2012: 508-515 - [c1]Nikolaos Pappas, Georgios Katsimpras, Efstathios Stamatatos:
Extracting informative textual parts from web pages containing user-generated content. I-KNOW 2012: 4
Informal and Other Publications
- 2024
- [i21]Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha:
DEM: Distribution Edited Model for Training with Mixed Data Distributions. CoRR abs/2406.15570 (2024) - 2022
- [i20]Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith:
Modeling Context With Linear Attention for Scalable Document-Level Translation. CoRR abs/2210.08431 (2022) - 2021
- [i19]Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong:
Random Feature Attention. CoRR abs/2103.02143 (2021) - [i18]Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith:
Finetuning Pretrained Transformers into RNNs. CoRR abs/2103.13076 (2021) - [i17]Ivan Montero, Nikolaos Pappas, Noah A. Smith:
Sentence Bottleneck Autoencoders from Transformer Language Models. CoRR abs/2109.00055 (2021) - [i16]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. CoRR abs/2110.02488 (2021) - 2020
- [i15]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation. CoRR abs/2006.10369 (2020) - [i14]Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret:
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. CoRR abs/2006.16236 (2020) - [i13]Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith:
Grounded Compositional Outputs for Adaptive Language Modeling. CoRR abs/2009.11523 (2020) - [i12]Xuhui Zhou, Nikolaos Pappas, Noah A. Smith:
Multilevel Text Alignment with Cross-Document Attention. CoRR abs/2010.01263 (2020) - [i11]Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson:
Plug and Play Autoencoders for Conditional Text Generation. CoRR abs/2010.02983 (2020) - 2019
- [i10]Nikolaos Pappas, James Henderson:
Deep Residual Output Layers for Neural Language Generation. CoRR abs/1905.05513 (2019) - [i9]Navid Rekabsaz, Nikolaos Pappas, James Henderson, Banriskhem K. Khonglah, Srikanth R. Madikeri:
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains. CoRR abs/1906.01496 (2019) - 2018
- [i8]Nikolaos Pappas, James Henderson:
Joint Input-Label Embedding for Neural Text Classification. CoRR abs/1806.06219 (2018) - [i7]Nikolaos Pappas, Lesly Miculicich Werlen, James Henderson:
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation. CoRR abs/1808.10681 (2018) - [i6]Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, James Henderson:
Document-Level Neural Machine Translation with Hierarchical Attention Networks. CoRR abs/1809.01576 (2018) - [i5]Xiao Pu, Nikolaos Pappas, James Henderson, Andrei Popescu-Belis:
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation. CoRR abs/1810.02614 (2018) - 2017
- [i4]Nikolaos Pappas, Andrei Popescu-Belis:
Multilingual Hierarchical Attention Networks for Document Classification. CoRR abs/1707.00896 (2017) - [i3]Lesly Miculicich Werlen, Nikolaos Pappas, Dhananjay Ram, Andrei Popescu-Belis:
Global-Context Neural Machine Translation through Target-Side Attentive Residual Connections. CoRR abs/1709.04849 (2017) - 2016
- [i2]Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang:
Multilingual Visual Sentiment Concept Matching. CoRR abs/1606.02276 (2016) - 2015
- [i1]Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Redi, Mercan Topkara, Shih-Fu Chang:
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology. CoRR abs/1508.03868 (2015)
Coauthor Index
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