NeurIPS 2024 Past Other
Latinx in AI @ NeurIPS 2024
lxai-neurips-24
- Submission deadline
- Oct 6, 2024, 00:00 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (40)
Fetched from OpenReview (v2) on 2026-06-10.
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A Hybrid COMTE-LEFTIST Time-Series Explanation Method For a Time-series Classification Bitcoin Recommendation System
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A Kernel Two-Sample Test with the Representation Jensen-Shannon Divergence
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A proposal for post-OCR spelling correction using Language Models
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Adaptive LoRA Merging for Efficient Domain Incremental Learning
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Anomaly Detection In The Wild: Can SSL Handle Strong Distribution Imbalances?
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ASPred: Identification of Antigen Specific B-cell receptors from single V(D)J sequences using Large Language Models
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Benchmarking CNN-Based Systems for Corn Leaf Pest Detection using Fine-Tuning
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Collaborative Training
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Deep Learning as a Decision Financial Tool in the Oil and Gas Industry
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Distilling Visual Information into Symbolic Representations through Self-Supervised Learning
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Enhancing Graph-to-Text Systems in Low-Resource Settings: Distilling Chain-Of-Thought Reasoning For Task-Specific Workflows
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Enhancing Medical NLP Systems: Integrating Upstash Vector and BGE-M3 for Accurate and Ethical Healthcare Data Management with Reduced Bias
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Enhancing the Generation of Predictions and Natural Language Explanations via Sparse Few-shot Fine-tuning and Prompting
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Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data
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Evaluating Privacy Risks in Synthetic Clinical Text Generation in Spanish
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Evaluating the Usefulness of Large Language Models for Synthetic Samples Generation via Few-shot Learning
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FC-Aligner: A Lightweight Regressor Model for Embedding Space Conversion
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Generative Interpolation of Sign Language Poses using RVQ-VAE
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Hand Gesture Classification Using Kolmogorov–Arnold Networks (KAN)
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Health Prediction: A Comprehensive IoT-Driven Health Monitoring System with Machine Learning Analysis and XAI Insights
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Human-Aided Discovery of Ancestral Graphs
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Hyphatia: a Card-Not-Present Fraud Detection System based on Self-Supervised Tabular Learning
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Improving Wild Pig Detection through Data Augmentation and Thermal Imagery: A Comparative Study of Model Performance.
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Interpreting business process case outcome prediction with XAI
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Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System
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Modeling cognitive processes of natural reading with transformer-based Language Models
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Morphological Typology in BPE Subword Productivity and Language Modeling
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On Divergence Measures for Training GFlowNets
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OPPI-GRF: Optimizing Protein-Protein Interaction Prediction with Graph-Based Representation and Fusion
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Optimizing the Gabriel graph construction algorithm
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Rethinking Multi-Modal Tokenization for Reinforcement Learning with Transformers in Mobility-on-Demand Tasks
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SignAttention: On the Interpretability of Transformer Models for Sign Language Translation
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Subnormal Number Attacks on Binarized Neural Networks
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Testing Memory Capabilities in Large Language Models with the Sequence Order Recall Task
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Towards Kinetic Manipulation of the Latent Space
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Towards unearthing neglected climate innovations from scientific literature using Large Language Models
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Training-Free Approach of Convolutional Neural Networks with Astrocyte-Inspired Architectures
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TudoBonus: A Dataset for household appliance recognition to improve circular economy process
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User-Centered Feature Fusion
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Visualizing Linear RNNs Through Unrolling