Leonardo Neves
Leonardo Neves
Lead Research Scientist - Manager at Snapchat Research
Verified email at snapchat.com - Homepage
Cited by
Cited by
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
Multimodal named entity recognition for short social media posts
S Moon, L Neves, V Carvalho
arXiv preprint arXiv:1802.07862, 2018
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
Visual Features for Context-Aware Speech Recognition
A Gupta, Y Miao, L Neves, F Metze
Acoustics, Speech and Signal Processing (ICASSP), 2017, 2017
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
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
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
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
Data Augmentation for Graph Neural Networks
T Zhao, Y Liu, L Neves, O Woodford, M Jiang, N Shah
arXiv preprint arXiv:2006.06830, 2020
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
Integrating domain-data steering with code-profiling tools to debug data-intensive workflows
V Silva, L Neves, R Souza, A Coutinho, D De Oliveira, M Mattoso
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale …, 2016
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
Proc. CHI, 2021
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
Learning from explanations with neural module execution tree
Y Qin, Z Wang, W Zhou, J Yan, Q Ye, X Ren, L Neves, Z Liu
International Conference on Learning Representations, 2020
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
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
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
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, 2018
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
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks
B Joshi, N Shah, F Barbieri, L Neves
arXiv preprint arXiv:2011.01196, 2020
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