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