Accepted Papers
Oral Presentations
Paper ID | Paper Title | Author Names | | Citation |
|---|---|---|---|---|
| 4 | SignAttention: On the Interpretability of Transformer Models for Sign Language Translation Social and Economic Aspects of Machine Learning Evaluation Paper | Oscar Agustín Stanchi, Pedro Alejandro Dal Bianco, Facundo Manuel Quiroga, Franco Ronchetti, Enzo Ferrante |  | Stanchi, O. A. et al., (2024). SignAttention: On the Interpretability of Transformer Models for Sign Language Translation [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Oscar_Stanchi.pdf |
| 8 | A Hybrid COMTE-LEFTIST Time-Series Explanation Method For a Time-series Classification Bitcoin Recommendation System Social and economic aspects of machine learning General machine learning Paper | Lucas Rabelo de Araujo Morais, Teresa Ludermir | | De Araujo Morais, L. R. et al., (2024). A Hybrid COMTE-LEFTIST Time-Series Explanation Method For a Time-series Classification Bitcoin Recommendation System [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Lucas_DeAraujo.pdf |
| 11 | Anomaly Detection In The Wild: Can SSL Handle Strong Distribution Imbalances? Applications Deep learning Paper | Daniel Otero, Rafael Mateus, Randall Balestriero | | Otero, D. et al., (2024). Anomaly Detection In The Wild: Can SSL Handle Strong Distribution Imbalances? [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Daniel_Otero.pdf |
| 33 | Hyphatia: a Card-Not-Present Fraud Detection System based on Self-Supervised Tabular Learning General machine learning Social and economic aspects of machine learning Paper | Josue Genaro Almaraz-Rivera, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero, Francisco Muñoz, Brian Martinez | | Almaraz-Rivera, J. G. et al., (2024). Hyphatia: a Card-Not-Present Fraud Detection System based on Self-Supervised Tabular Learning [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Josue_Almaraz-Rivera.pdf |
| 39 | A Kernel Two-Sample Test with the Representation Jensen-Shannon Divergence Probabilistic methods General machine learning Paper | Jhoan Keider Hoyos, Luis Gonzalo Sanchez Giraldo | | Hoyos, J. K. et al., (2024). A Kernel Two-Sample Test with the Representation Jensen-Shannon Divergence [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Jhoan_Hoyos.pdf |
| 48 | TudoBonus: A Dataset for household appliance recognition to improve circular economy process Applications Social and economic aspects of machine learning Paper | Michael Cruz, Flávio Santos, fabio buiati, Babak rezaei | | Cruz, M. et al., (2024). TudoBonus: A Dataset for household appliance recognition to improve circular economy process [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Michael_Cruz.pdf |
Full Papers
Paper ID | Paper Title | Author Names | | Citation |
|---|---|---|---|---|
| 2 | Anomaly Detection in Industry 4.0: Supervised vs. Semi-supervised Approaches with OPC-UA integration Applications Infrastructure Paper | Henry O. Velesaca, William Velesaca | | Velesaca, H. O. et al., (2024). Anomaly Detection in Industry 4.0: Supervised vs. Semi-supervised Approaches with OPC-UA integration [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Henry_Velasaca.pdf |
| 6 | Improving Wild Pig Detection through Data Augmentation and Thermal Imagery: A Comparative Study of Model Performance. Applications Deep Learning Paper | Alhim Adonai Vera Gonzalez, Donghoon Kim | | Vera Gonzalez, A. A. et al., (2024). Improving Wild Pig Detection through Data Augmentation and Thermal Imagery: A Comparative Study of Model Performance. [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Alhim_Vera.pdf |
| 10 | Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System Social and economic aspects of machine learning Deep Learning Paper | Julian Collado, Kevin Stangl | | Collado, J. et al., (2024). Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Julian_Collado.pdf |
| 17 | Enhancing the Generation of Predictions and Natural Language Explanations via Sparse Few-shot Fine-tuning and Prompting Probabilistic Methods Optimization Paper | Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini | | Solano, J. et al., (2024). Enhancing the Generation of Predictions and Natural Language Explanations via Sparse Few-shot Fine-tuning and Prompting [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Jesus_Solano.pdf |
| 19 | Training-Free Approach of Convolutional Neural Networks with Astrocyte-Inspired Architectures Deep Learning Neuroscience and Cognitive Science Paper | Ana Ribas-Rodriguez, Vanessa Aguiar-Pulido, Francisco Cedron | | Ribas-Rodriguez, A. et al., (2024). Training-Free Approach of Convolutional Neural Networks with Astrocyte-Inspired Architectures [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Ana_Ribas-Rodriguez.pdf |
| 23 | Modeling cognitive processes of natural reading with transformer-based Language Models Neuroscience and cognitive science Deep Learning Paper | Bruno Bianchi, Fermín Travi, Juan E Kamienkowski | | Bianchi, B. et al., (2024). Modeling cognitive processes of natural reading with transformer-based Language Models [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Bruno_Bianchi.pdf |
| 25 | A proposal for post-OCR spelling correction using Language Models Applications Deep Learning Paper | Sávio Santos de Araújo, Byron Leite Dantas Bezerra, Arthur Flor de Sousa Neto, Cleber Zanchettin | | Santos de Araújo, S. et al., (2024). A proposal for post-OCR spelling correction using Language Models [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Savio_Santos.pdf |
| 27 | Morphological Typology in BPE Subword Productivity and Language Modeling Deep learning Applications Paper | Iñigo Parra | | Parra, I., (2024). Morphological Typology in BPE Subword Productivity and Language Modeling [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Inigo_Parra.pdf |
| 32 | Subnormal Number Attacks on Binarized Neural Networks Social and economic aspects of machine learning Deep Learning Paper | Nicolás Berrios | | Berrios, N., (2024). Subnormal Number Attacks on Binarized Neural Networks [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Nicolas_Berrios.pdf |
| 34 | Health Prediction: A Comprehensive IoT-Driven Health Monitoring System with Machine Learning Analysis and XAI Insights Machine learning for sciences Social and economic aspects of machine learning Paper | Marcelo Colares da Silva, Caio Marques Silva, Suane Pires Pinheiro da Silva, Elizângela de Souza Rebouças, Caio C. H. Cunha, Cilis A. Benevides, Roger M. Sarmento, Houbing Hebert Song, Pedro Pedrosa Rebouças Filho | | Colares da Silva, M. et al., (2024). Health Prediction: A Comprehensive IoT-Driven Health Monitoring System with Machine Learning Analysis and XAI Insights [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Marcelo_Colares.pdf |
| 35 | Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data General Machine Learning Applications Paper | Arthur M. Sasse, Claudio Miceli de Farias | | Sasse, A. M. et al., (2024). Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Arthur_Sasse.pdf |
| 36 | Benchmarking CNN-Based Systems for Corn Leaf Pest Detection using Fine-Tuning Applications Machine Learning for Sciences Paper | Mariana Risco Cosavalente, Sulei Jackeline Chang Román, Carlos Arturo Cortegana Silva | | Risco Cosavalente, M. et al., (2024). Benchmarking CNN-Based Systems for Corn Leaf Pest Detection using Fine-Tuning [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Mariana_Risco.pdf |
| 37 | FC-Aligner: A Lightweight Regressor Model for Embedding Space Conversion Deep Learning Applications Paper | André Luiz Buarque Vieira e Silva, René G. Ferrari, Álvaro Spies Nolibos, Gustavo Zanoni Felipe | | Vieira-e-Silva, A. L. et al., (2024). FC-Aligner: A Lightweight Regressor Model for Embedding Space Conversion [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Andre_Vieira-e-Silva.pdf |
| 40 | Evaluating the Usefulness of Large Language Models for Synthetic Samples Generation via Few-shot Learning Deep learning General machine learning Paper | Maynara Donato De Souza, Flávio Santos, Cleber Zanchettin | | De Souza, M. D. et al., (2024). Evaluating the Usefulness of Large Language Models for Synthetic Samples Generation via Few-shot Learning [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Maynara_De-Souza.pdf |
| 43 | Towards unearthing neglected climate innovations from scientific literature using Large Language Models Machine Learning for Sciences Evaluation Paper | César Quilodrán-Casas, Christopher Waite, Nicole Alhadeff, Diyona Dsouza, Cathal Hughes, Larissa Kunstel-Tabet, Alyssa Gilbert | | Quilodrán-Casas, C. et al., (2024). Towards unearthing neglected climate innovations from scientific literature using Large Language Models [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Cesar_Quilodran-Casas.pdf |
| 44 | Towards Kinetic Manipulation of the Latent Space Applications Deep Learning Paper | Diego Porres | | Porres, D., (2024). Towards Kinetic Manipulation of the Latent Space [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Diego_Porres.pdf |
| 45 | Deep Learning as a Decision Financial Tool in the Oil and Gas Industry Deep Learning Social and economic aspects of machine learning Paper | Aguinaldo Junio Flor, Adiel Teixeira de Almeida Filho | | Junio Flor, A. et al., (2024). Deep Learning as a Decision Financial Tool in the Oil and Gas Industry [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Aguinaldo_Junio.pdf |
| 52 | On Divergence Measures for Training GFlowNets Probabilistic Methods General Machine Learning Paper | Tiago Silva, Eliezer de Souza da Silva, Diego Mesquita | | Silva, T. et al., (2024). On Divergence Measures for Training GFlowNets [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Tiago_Silva2.pdf |
| 55 | ASPred: Identification of Antigen Specific B-cell receptors from single V(D)J sequences using Large Language Models Machine learning for sciences Deep learning Paper | Karen Paco, Mariana Paco, Zihao Zhang, Isabel Condori, Sanaz Zebardast, Peace Olatoyinbo, Dhruv Patel, Jonathan Felix, Tristan Yang, Jordan Lay, Ilya Tolstorukov, Karine Le Roch, Matthew Sazinsky, Jeniffer Hernandez, Stefano Lonardi, Animesh Ray | | Paco, K. et al., (2024). ASPred: Identification of Antigen Specific B-cell receptors from single V(D)J sequences using Large Language Models [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Karen_Paco.pdf |
| 59 | Interpreting business process case outcome prediction with XAI Social and economic aspects of machine learning Applications Paper | Ana Rocio Cardenas Maita | | Cardenas Maita, A. R., (2024). Interpreting business process case outcome prediction with XAI [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Ana_Cardenas.pdf |
| 60 | Generative Interpolation of Sign Language Poses using RVQ-VAE General Machine Learning Deep Learning Paper | Fidel Omar Tito Cruz, Gissella Bejarano | | Tito Cruz, F. O. et al., (2024). Generative Interpolation of Sign Language Poses using RVQ-VAE [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Fidel_Tito.pdf |
| 63 | Evaluating Privacy Risks in Synthetic Clinical Text Generation in Spanish Social and economics aspects of machine learning Deep learning Paper | Luis Miranda, Jocelyn Dunstan, Matías Toro, Federico Olmedo, Felix Melo | | Miranda, L. et al., (2024). Evaluating Privacy Risks in Synthetic Clinical Text Generation in Spanish [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Luis_Miranda.pdf |
Short Papers
Paper ID | Paper Title | Author Names | | Citation |
|---|---|---|---|---|
| 7 | Distilling Visual Information into Symbolic Representations through Self-Supervised Learning Applications Deep learning Paper | Victor Sebastian Martinez Pozos, Ivan Vladimir Meza Ruiz | | Martinez Pozos, V. S. et al., (2024). Distilling Visual Information into Symbolic Representations through Self-Supervised Learning [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Victor_Martinez.pdf |
| 12 | Visualizing Linear RNNs Through Unrolling Social and economic aspects of machine learning Deep Learning Paper | Josue Casco-Rodriguez, Tyler Burley, CJ Barberan, Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk | | Casco-Rodriguez, J. et al., (2024). Visualizing Linear RNNs Through Unrolling [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Josue_Casco-Rodriguez.pdf |
| 20 | Adaptive LoRA Merging for Efficient Domain Incremental Learning General Machine Learning Deep Learning Paper | Luigi Quarantiello, Eric Nuertey Coleman, Julio Hurtado, Vincenzo Lomonaco | | Quarantiello, L. et al., (2024). Adaptive LoRA Merging for Efficient Domain Incremental Learning [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Luigi_Quarantiello.pdf |
| 24 | Testing Memory Capabilities in Large Language Models with the Sequence Order Recall Task Evaluation Deep Learning Paper | Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva | | Pink, M. et al., (2024). Testing Memory Capabilities in Large Language Models with the Sequence Order Recall Task [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Mathis_Pink.pdf |
| 30 | Optimizing the Gabriel graph construction algorithm Infrastructure General machine learning Paper | Jose Geraldo Fernandes, Vitor Mourao Hanriot, Antonio de Padua Braga | | Fernandes, J. G. et al., (2024). Optimizing the Gabriel graph construction algorithm [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Jose_Fernandes.pdf |
| 47 | Enhancing Graph-to-Text Systems in Low-Resource Settings: Distilling Chain-Of-Thought Reasoning For Task-Specific Workflows Deep learning Applications Paper | David Guzman Piedrahita, Arnisa Fazla, Anna Kiepura | | Guzman Piedrahita, D. et al., (2024). Enhancing Graph-to-Text Systems in Low-Resource Settings: Distilling Chain-Of-Thought Reasoning For Task-Specific Workflows [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/David_Guzman.pdf |
| 50 | Human-Aided Discovery of Ancestral Graphs Probabilistic Methods General Machine Learning Paper | Tiago Silva, Eliezer de Souza da Silva, António Góis, Dominik Heider, Samuel Kaski, Diego Mesquita, Adele H Ribeiro | | Silva, T. et al., (2024). Human-Aided Discovery of Ancestral Graphs [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Tiago_Silva.pdf |
| 51 | User-Centered Feature Fusion Social and economic aspects of machine learning General machine learning Paper | Marleny Hilasaca | | Hilasaca, M., (2024). User-Centered Feature Fusion [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Marleny_Hilasaca.pdf |
| 54 | Hand Gesture Classification Using Kolmogorov–Arnold Networks (KAN) Deep learning Machine learning for sciences Paper | Edson Francisco Luque | | Luque, E. F., (2024). Hand Gesture Classification Using Kolmogorov–Arnold Networks (KAN) [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Edson_Luque.pdf |
| 56 | Rethinking Multi-Modal Tokenization for Reinforcement Learning with Transformers in Mobility-on-Demand Tasks Reinforcement Learning Deep Learning Paper | Gabriel Schwartz, Raphael Yokoingawa de Camargo | | Schwartz, G. et al., (2024). Rethinking Multi-Modal Tokenization for Reinforcement Learning with Transformers in Mobility-on-Demand Tasks [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Gabriel_Schwartz.pdf |
| 62 | Collaborative Training Reinforcement Learning General Machine Learning Paper | Ariana Mirella Villegas Suarez | | Villegas Suarez, A. M., (2024). Collaborative Training [Paper Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2024, Vancouver, Canada. https://research.latinxinai.org/papers/icml/2024/pdf/Ariana_Villegas.pdf |