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Papers
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
AISTATS 2025
Wave-MambaAD: Wavelet-driven State Space Model for Multi-class Unsupervised Anomaly Detection
ICCV 2025
YNU-HPCC at SemEval-2025 Task 10: A Two-Stage Approach to Solving Multi-Label and Multi-Class Role Classification Based on DeBERTa
SemEval 2025
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
NeurIPS 2024
A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech
ACL 2024
AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text
SemEval 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
JMLR 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses
NeurIPS 2024
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
NeurIPS 2024
Beyond Binary: Multiclass Paraphasia Detection with Generative Pretrained Transformers and End-to-End Models
Interspeech 2024
Building a stable classifier with the inflated argmax
NeurIPS 2024
cantnlp@LT-EDI-2024: Automatic Detection of Anti-LGBTQ+ Hate Speech in Under-resourced Languages
EACL 2024
CareCorpus: A Corpus of Real-World Solution-Focused Caregiver Strategies for Personalized Pediatric Rehabilitation Service Design
COLING 2024
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
ACL 2024
Classifier Calibration with ROC-Regularized Isotonic Regression
AISTATS 2024
Confidence Calibration of Classifiers with Many Classes
NeurIPS 2024
Consistent Multiclass Algorithms for Complex Metrics and Constraints
JMLR 2024
Consistent Multi-Class Classification from Multiple Unlabeled Datasets
ICLR 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
IJCAI 2024
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
NeurIPS 2024
Exploring BERT-Based Classification Models for Detecting Phobia Subtypes: A Novel Tweet Dataset and Comparative Analysis
COLING 2024
Fairness guarantees in multi-class classification with demographic parity
JMLR 2024
FastFit: Fast and Effective Few-Shot Text Classification with a Multitude of Classes
NAACL 2024
Fast Rates for Bandit PAC Multiclass Classification
NeurIPS 2024
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
ICML 2024