← Application Areas
Machine Learning › Application Areas ›

Classification

155 directly classified papers

Papers per year

Papers

Large Language Models are Students at Various Levels: Zero-shot Question Difficulty Estimation EMNLP 2024
Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract) AAAI 2024
NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach ACL 2024
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning EMNLP 2024
Tab2Text - A framework for deep learning with tabular data EMNLP 2024
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NIPS 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning NIPS 2024
Computerized Adaptive Testing via Collaborative Ranking NIPS 2024
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases NIPS 2024
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation EMNLP 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NIPS 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data NIPS 2024
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data NIPS 2024
Towards Low-Resource Harmful Meme Detection with LMM Agents EMNLP 2024
Fine-grained Classification of Circumstantial Meanings within the Prague Dependency Treebank Annotation Scheme COLING 2024
The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases EMNLP 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NIPS 2024
Not The End of Story: An Evaluation of ChatGPT-Driven Vulnerability Description Mappings ACL 2023
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy NIPS 2023
Automatic Readability Assessment for Closely Related Languages ACL 2023
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels ICML 2023
Automated Classification of Model Errors on ImageNet NIPS 2023
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation ACL 2023
Imbalanced Label Distribution Learning AAAI 2023