Felipe Pérez

According to our database, Felipe Pérez authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation.

Sajad Norouzi, Rasa Hosseinzadeh, Felipe Pérez, Maksims Volkovs

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers.

Sajad Norouzi, Rasa Hosseinzadeh, Felipe Pérez, Maksims Volkovs

CoRR, 2022

MCL: Mixed-Centric Loss for Collaborative Filtering.

Zhaolin Gao, Zhaoyue Cheng, Felipe Pérez, Jianing Sun, Maksims Volkovs

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Pre-Processing Techniques for Improving a Topological Map-Matching Algorithm.

Carola Blazquez, Roberto León, Felipe Pérez, Luis Delgado

Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

Improving Non-Autoregressive Translation Models Without Distillation.

Xiao Shi Huang, Felipe Pérez, Maksims Volkovs

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering.

Jianing Sun, Zhaoyue Cheng, Saba Zuberi, Felipe Pérez, Maksims Volkovs

Proceedings of the WWW '21: The Web Conference 2021, 2021

User Engagement Modeling with Deep Learning and Language Models.

Maksims Volkovs, Felipe Pérez, Zhaoyue Cheng, Jianing Sun, Sajad Norouzi, Anson Wong, Pawel Jankiewicz, Barum Rho

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

2020

TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations.

Jin Peng Zhou, Zhaoyue Cheng, Felipe Pérez, Maksims Volkovs

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Improving Transformer Optimization Through Better Initialization.

Xiao Shi Huang, Felipe Pérez, Jimmy Ba, Maksims Volkovs

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Robust contextual models for in-session personalization.

Maksims Volkovs, Anson Wong, Zhaoyue Cheng, Felipe Pérez, Ilya Stanevich, Yichao Lu

Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019