Extended Abstracts
Oral Presentations
ID | Paper Title | Author Names | | Poster | Citation |
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1 | 1-Path-Norm Regularization of Deep Neural Networks Deep Learning Optimization Oral | Fabian Latorre, Antoine Bonnet, Paul Rolland, Nadav Hallak, Volkan Cevher | | | Latorre, F. et al., (2023). 1-Path-Norm Regularization of Deep Neural Networks [Oral Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Fabian_Latorre.pdf |
2 | Evaluating the impact of incorporating 'legalese' definitions and abstractive summarization on the categorization of legal cases by their holdings Deep Learning Applications Oral | Shiu Tin Ivan Ko, Daniela Virginia Cortes Bermudez, Henry Han, Huiyun Zhang | | | Cortes Bermudez, D. V. et al., (2023). Evaluating the impact of incorporating 'legalese' definitions and abstractive summarization on the categorization of legal cases by their holdings [Oral Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307238 |
3 | Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification Deep Learning Generative Models Oral | Vinicius Luiz Santos Silva, Claire E Heaney, Christopher Charles Pain | | | Santos Silva, V. L. et al., (2023). Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification [Oral Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Vinicius_Santos.pdf |
5 | Omega: Optimistic EMA Gradients Optimization Learning Theory Oral | Juan Ramirez, Rohan Sukumaran, Quentin Bertrand, Gauthier Gidel | | | Ramirez, J. et al., (2023). Omega: Optimistic EMA Gradients [Oral Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Juan_Ramirez.pdf |
Poster Presentations
ID | Paper Title | Author Names | | Poster | Citation |
---|---|---|---|---|---|
4 | Gabor Filters as Initializers for Convolutional Neural Networks: A Study on Inductive Bias and Performance on Image Classification General Machine Learning Deep Learning Poster | Pablo Rivas, Mehang Rai | | | Rivas, P. et al., (2023). Gabor Filters as Initializers for Convolutional Neural Networks: A Study on Inductive Bias and Performance on Image Classification [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Pablo_Rivas.pdf |
7 | Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data Trustworthy Machine Learning Applications Poster | Mariela De Lucas Alvarez, Jichen Guo, Raul Dominguez, Matias Valdenegro-Toro | | | Alvarez, M. et al., (2023). Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Mariela_Alvarez.pdf |
9 | Convolutional neural network regression for estimating physical parameters of astrophysical binary black hole systems Applications Deep Learning Poster | Andres Benjamin Antelis Moreno, Claudia Moreno | | | Antelis Moreno, A. B. et al., (2023). Convolutional neural network regression for estimating physical parameters of astrophysical binary black hole systems [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307236 |
10 | An Empirical Analysis Towards Replacing Vocabulary-Rigid Embeddings by a Vocabulary-Free Mechanism General Machine Learning Deep Learning Poster | Alejandro Rodriguez Perez, Korn Sooksatra, Pablo Rivas, Ernesto Quevedo Caballero, Javier S. Turek, Gisela Bichler, Tomas Cerny, Laurie Giddens, Stacie Petter | | | Rodriguez Perez, A. et al., (2023). An Empirical Analysis Towards Replacing Vocabulary-Rigid Embeddings by a Vocabulary-Free Mechanism [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307237 |
11 | Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy using Unsupervised Machine Learning Applications General Machine Learning Poster | Miguel Cozar, Carlos Munoz Losa, Kai Shu | | | Cozar, M. et al., (2023). Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy using Unsupervised Machine Learning [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307231 |
12 | Studying Generalization on Memory-Based Methods in Continual Learning Learning Theory General Machine Learning Poster | Felipe del Rio, Julio Hurtado, Cristian Buc Calderon, Alvaro Soto, Vincenzo Lomonaco | | | Hurtado, J. et al., (2023). Studying Generalization on Memory-Based Methods in Continual Learning [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Julio_Hurtado.pdf |
13 | Quadtree features for machine learning on CMDs Applications General Machine Learning Poster | Jose Schiappacasse, Sara Lucatello, Mario Pasquato | | | Schiappacasse, J. et al., (2023). Quadtree features for machine learning on CMDs [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Jose_Schiappacasse.pdf |
14 | Is ReLU Adversarially Robust? Deep Learning Trustworthy Machine Learning Poster | Korn Sooksatra, Greg Hamerly, Pablo Rivas | | | Sooksatra, K. et al., (2023). Is ReLU Adversarially Robust? [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307232 |
15 | Recognition of grammatical classes of imagined speech words using a convolutional neural network and brain signals Applications Deep Learning Poster | Denise Alonso-Vázquez, Tonatiuh Hernández-Del-Toro, Omar Mendoza-Montoya, Ricardo Caraza, Hector R Martinez, Carlos Alberto Reyes-Garcia, Javier M. Antelis | | | Alonso-Vázquez, D. et al., (2023). Recognition of grammatical classes of imagined speech words using a convolutional neural network and brain signals [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307233 |
16 | An Agent-Search Strategy for Contrast Enhancement in Medical Images Applications Trustworthy Machine Learning Poster | Nayeli Areli Perez Padilla | | | Perez Padilla, N. A. et al., (2023). An Agent-Search Strategy for Contrast Enhancement in Medical Images [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Nayeli_Perez.pdf |
17 | Machine learning over the free-parameters of the Black-Scholes equation: Stock market and Option market General Machine Learning Trustworthy Machine Learning Poster | Jorge Mario Arraut, Ivan Arraut, Ka I Lei | | | Arraut, J. M. et al., (2023). Machine learning over the free-parameters of the Black-Scholes equation: Stock market and Option market [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307234 |
18 | Expanded Convolutional Network for Tabular Data General Machine Learning Deep Learning Poster | Edson Francisco Luque | | | Luque, E. F., (2023). Expanded Convolutional Network for Tabular Data [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Edson_Luque.pdf |
19 | The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. Deep Learning Applications Poster | Abel Reyes-Angulo, Paheding Sidike | | | Reyes-Angulo, A. et al., (2023). The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307235 |
6 | Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese Applications Trustworthy Machine Learning Poster | Maria Carolina Penteado, Fábio Perez | | | Penteado, M. C. et al., (2023). Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Maria_Penteado.pdf |
8 | Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection General Machine Learning Learning Theory Poster | Vitória Barin-Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent | | | Barin-Pacela, V., (2023). Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Vitoria_Barin-Pacela.pdf |