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Multi-Class Classification
72 directly classified papers
Papers per year
2002: 1
2005: 1
2006: 1
2009: 1
2010: 3
2011: 2
2012: 3
2013: 3
2014: 2
2015: 1
2016: 2
2017: 3
2018: 5
2019: 4
2020: 6
2021: 4
2022: 8
2023: 8
2024: 7
2025: 7
Papers
Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD
ACL 2025
Overview of the Shared Task on Sentiment Analysis in Tamil and Tulu
NAACL 2025
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
AAAI 2025
BullyBench: Youth & Experts-in-the-loop Framework for Intrinsic and Extrinsic Cyberbullying NLP Benchmarking
EMNLP 2025
Building a Long Text Privacy Policy Corpus with Multi-Class Labels
ACL 2025
Déjà Vu? Decoding Repeated Reading from Eye Movements
ACL 2025
Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection
ACL 2025
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
AAAI 2024
Regimes of No Gain in Multi-class Active Learning
JMLR 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
AISTATS 2024
Fast Rates for Bandit PAC Multiclass Classification
NIPS 2024
Fairness guarantees in multi-class classification with demographic parity
JMLR 2024
Multiclass Transductive Online Learning
NIPS 2024
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
NIPS 2024
Set-valued Classification with Out-of-distribution Detection for Many Classes
JMLR 2023
Scalable Optimal Multiway-Split Decision Trees with Constraints
AAAI 2023
Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments
JMLR 2023
Event Process Typing via Hierarchical Optimal Transport
AAAI 2023
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
NIPS 2023
Demystifying the Optimal Performance of Multi-Class Classification
NIPS 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning
AAAI 2023
Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification
NIPS 2023
DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions
AAAI 2022
Active Learning of Classifiers with Label and Seed Queries
NIPS 2022
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning
AAAI 2022
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