activity
20212023
most citedSurvey on reinforcement learning for language processing

154 citations · 159 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2023★ 2 cited

Recent Advances in Software Effort Estimation using Machine Learning

Victor Uc-Cetina

An increasing number of software companies have already realized the importance of storing project-related data as valuable sources of information for training prediction models. S…

cs.RO2023★ 3 cited

Robot path planning using deep reinforcement learning

Miguel Quinones-Ramirez, Jorge Rios-Martinez, Victor Uc-Cetina

Autonomous navigation is challenging for mobile robots, especially in an unknown environment. Commonly, the robot requires multiple sensors to map the environment, locate itself, a…

cs.CL2023

Aligning a medium-size GPT model in English to a small closed domain in Spanish

Oscar R. Navarrete-Parra, Victor Uc-Cetina, Jorge Reyes-Magana

In this paper, we propose a methodology to align a medium-sized GPT model, originally trained in English for an open domain, to a small closed domain in Spanish. The application fo…

cs.CV2023

A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems

Victor Uc-Cetina, Laura Alvarez-Gonzalez, Anabel Martin-Gonzalez

Interest in automatic people re-identification systems has significantly grown in recent years, mainly for developing surveillance and smart shops software. Due to the variability…

cs.LG2022

Batchless Normalization: How to Normalize Activations Across Instances with Minimal Memory Requirements

Benjamin Berger, Victor Uc Cetina

In training neural networks, batch normalization has many benefits, not all of them entirely understood. But it also has some drawbacks. Foremost is arguably memory consumption, as…

cs.CL2021★ 154 cited

Survey on reinforcement learning for language processing

Victor Uc-Cetina, Nicolas Navarro-Guerrero, Anabel Martin-Gonzalez +2

In recent years some researchers have explored the use of reinforcement learning (RL) algorithms as key components in the solution of various natural language processing tasks. For…

cs.CL2021

Fixing Errors of the Google Voice Recognizer through Phonetic Distance Metrics

Diego Campos-Sobrino, Mario Campos-Soberanis, Iván Martínez-Chin +1

Speech recognition systems for the Spanish language, such as Google's, produce errors quite frequently when used in applications of a specific domain. These errors mostly occur whe…