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Leonardo Neves
Leonardo Neves
Principal Research Scientist - Manager at Snapchat Research
Geverifieerd e-mailadres voor snapchat.com - Homepage
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Tweeteval: Unified benchmark and comparative evaluation for tweet classification
F Barbieri, J Camacho-Collados, L Neves, L Espinosa-Anke
arXiv preprint arXiv:2010.12421, 2020
1532020
Data augmentation for graph neural networks
T Zhao, Y Liu, L Neves, O Woodford, M Jiang, N Shah
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11015 …, 2021
1032021
Audio-based multimedia event detection using deep recurrent neural networks
Y Wang, L Neves, F Metze
2016 IEEE international conference on acoustics, speech and signal …, 2016
862016
Visual attention model for name tagging in multimodal social media
D Lu, L Neves, V Carvalho, N Zhang, H Ji
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
792018
Multimodal named entity recognition for short social media posts
S Moon, L Neves, V Carvalho
arXiv preprint arXiv:1802.07862, 2018
682018
Multimodal named entity disambiguation for noisy social media posts
S Moon, L Neves, V Carvalho
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
542018
Visual Features for Context-Aware Speech Recognition
A Gupta, Y Miao, L Neves, F Metze
Acoustics, Speech and Signal Processing (ICASSP), 2017, 2017
402017
Nero: A neural rule grounding framework for label-efficient relation extraction
W Zhou, H Lin, BY Lin, Z Wang, J Du, L Neves, X Ren
Proceedings of The Web Conference 2020, 2166-2176, 2020
342020
Learning from explanations with neural execution tree
Z Wang, Y Qin, W Zhou, J Yan, Q Ye, L Neves, Z Liu, X Ren
arXiv preprint arXiv:1911.01352, 2019
252019
Efficiently mitigating classification bias via transfer learning
X Jin, F Barbieri, AM Davani, B Kennedy, L Neves, X Ren
arXiv preprint arXiv:2010.12864, 2020
17*2020
Train one get one free: Partially supervised neural network for bug report duplicate detection and clustering
L Poddar, L Neves, W Brendel, L Marujo, S Tulyakov, P Karuturi
arXiv preprint arXiv:1903.12431, 2019
112019
LEAN-LIFE: A label-efficient annotation framework towards learning from explanation
DH Lee, R Khanna, BY Lin, J Chen, S Lee, Q Ye, E Boschee, L Neves, ...
arXiv preprint arXiv:2004.07499, 2020
102020
Timelms: Diachronic language models from twitter
D Loureiro, F Barbieri, L Neves, LE Anke, J Camacho-Collados
arXiv preprint arXiv:2202.03829, 2022
82022
Advertiming matters: Examining user ad consumption for effective ad allocations on social media
K Saha, Y Liu, N Vincent, FA Chowdhury, L Neves, N Shah, MW Bos
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021
72021
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows.
V Silva, L Neves, R Souza, ALGA Coutinho, D de Oliveira, M Mattoso
WORKS@ SC, 59-63, 2016
72016
Monitoramento de Desempenho usando Dados de Proveniência e de Domínio durante a Execução de Aplicações Científicas
R Souza, V Silva, L Neves, D de Oliveira, M Mattoso
Anais do XIV Workshop em Desempenho de Sistemas Computacionais e de …, 2015
72015
Social factors in closed-network content consumption
P Kaghazgaran, M Bos, L Neves, N Shah
Proceedings of the 29th ACM International Conference on Information …, 2020
62020
Data augmentation for cross-domain named entity recognition
S Chen, G Aguilar, L Neves, T Solorio
arXiv preprint arXiv:2109.01758, 2021
42021
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms.
FA Chowdhury, Y Liu, K Saha, N Vincent, L Neves, N Shah, MW Bos
ICWSM, 117-128, 2021
42021
Adding domain data to code profiling tools to debug workflow parallel execution
V Silva, L Neves, R Souza, ALGA Coutinho, D de Oliveira, M Mattoso
Future Generation Computer Systems 110, 422-439, 2020
42020
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Artikelen 1–20