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2020 – today
- 2024
[c17]Filippo Betello
, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. ECIR (2) 2024: 205-220- [c16]Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems. IIR 2024: 78-81 - [c15]Ivo Verhoeven, Pushkar Mishra, Rahel Beloch, Helen Yannakoudakis, Ekaterina Shutova:
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection. NAACL-HLT (Findings) 2024: 437-463 - [i19]Ivo Verhoeven, Pushkar Mishra, Rahel Beloch, Helen Yannakoudakis, Ekaterina Shutova:
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection. CoRR abs/2404.01822 (2024) - 2023
- [i18]Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - [i17]Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. CoRR abs/2307.13165 (2023) - 2022
- [c14]David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina:
Method cards for prescriptive machine-learning transparency. CAIN 2022: 90-100 - [c13]David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina:
Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CHI Extended Abstracts 2022: 402:1-402:9 - [c12]Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova:
Scientific and Creative Analogies in Pretrained Language Models. EMNLP (Findings) 2022: 2094-2100 - [c11]Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel:
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. NeurIPS 2022 - [i16]David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina:
Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CoRR abs/2204.13582 (2022) - [i15]Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel:
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. CoRR abs/2207.09980 (2022) - [i14]Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova:
Scientific and Creative Analogies in Pretrained Language Models. CoRR abs/2211.15268 (2022) - 2021
- [c10]Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif M. Mohammad, Ekaterina Shutova:
Ruddit: Norms of Offensiveness for English Reddit Comments. ACL/IJCNLP (1) 2021: 2700-2717 - [c9]Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova:
Multilingual and cross-lingual document classification: A meta-learning approach. EACL 2021: 1966-1976 - [c8]Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability. EMNLP (Findings) 2021: 3374-3385 - [c7]Aman Hussain, Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Towards a robust experimental framework and benchmark for lifelong language learning. NeurIPS Datasets and Benchmarks 2021 - [i13]Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova:
Multilingual and cross-lingual document classification: A meta-learning approach. CoRR abs/2101.11302 (2021) - [i12]Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
The User behind the Abuse: A Position on Ethics and Explainability. CoRR abs/2103.17191 (2021) - [i11]Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif M. Mohammad, Ekaterina Shutova:
Ruddit: Norms of Offensiveness for English Reddit Comments. CoRR abs/2106.05664 (2021) - 2020
- [c6]Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Joint Modelling of Emotion and Abusive Language Detection. ACL 2020: 4270-4279 - [c5]Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation. EMNLP (Findings) 2020: 4517-4533 - [i10]Pushkar Mishra, Aleksandra Piktus, Gerard Goossen, Fabrizio Silvestri:
Node Masking: Making Graph Neural Networks Generalize and Scale Better. CoRR abs/2001.07524 (2020) - [i9]Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation. CoRR abs/2004.14355 (2020) - [i8]Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Joint Modelling of Emotion and Abusive Language Detection. CoRR abs/2005.14028 (2020) - [i7]Shantanu Chandra, Pushkar Mishra, Helen Yannakoudakis, Madhav Nimishakavi, Marzieh Saeidi, Ekaterina Shutova:
Graph-based Modeling of Online Communities for Fake News Detection. CoRR abs/2008.06274 (2020) - [i6]Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning. CoRR abs/2009.04891 (2020)
2010 – 2019
- 2019
- [c4]Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova:
Abusive Language Detection with Graph Convolutional Networks. NAACL-HLT (1) 2019: 2145-2150 - [c3]Guy Aglionby, Christopher Davis, Pushkar Mishra, Andrew Caines, Helen Yannakoudakis, Marek Rei, Ekaterina Shutova, Paula Buttery:
CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets. SemEval@NAACL-HLT 2019: 556-563 - [i5]Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova:
Author Profiling for Hate Speech Detection. CoRR abs/1902.06734 (2019) - [i4]Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova:
Abusive Language Detection with Graph Convolutional Networks. CoRR abs/1904.04073 (2019) - [i3]Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods. CoRR abs/1908.06024 (2019) - 2018
- [c2]Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Neural Character-based Composition Models for Abuse Detection. ALW 2018: 1-10 - [c1]Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova:
Author Profiling for Abuse Detection. COLING 2018: 1088-1098 - [i2]Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Neural Character-based Composition Models for Abuse Detection. CoRR abs/1809.00378 (2018) - 2013
- [i1]Pushkar Mishra:
On Updating and Querying Sub-arrays of Multidimensional Arrays. CoRR abs/1311.6093 (2013)
Coauthor Index
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last updated on 2024-11-08 20:33 CET by the dblp team
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