Co-occurring keywords · papers mentioning both
Papers
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
EMNLP 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
ICML 2021
Tool for Automated Tax Coding of Invoices
AAAI 2021
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces
JMLR 2021
Adversarial Sampling for Active Learning
WACV 2020
A Multiclass Classification Approach to Label Ranking
AISTATS 2020
Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class
NeurIPS 2020
Detecting Tweets Reporting Birth Defect Pregnancy Outcome Using Two-View CNN RNN Based Architecture
COLING 2020
Detection of Mental Health from Reddit via Deep Contextualized Representations
EMNLP 2020
Enhancing the Identification of Cyberbullying through Participant Roles
EMNLP 2020
Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks
ACML 2020
Fair Performance Metric Elicitation
NeurIPS 2020
Federated Learning with Only Positive Labels
ICML 2020
Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection
SemEval 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks
NeurIPS 2020
Learnability with Indirect Supervision Signals
NeurIPS 2020
Learning by Minimizing the Sum of Ranked Range
NeurIPS 2020
Learning from Aggregate Observations
NeurIPS 2020
Learning with Multiple Complementary Labels
ICML 2020
Multiclass Anomaly Detector: the CS++ Support Vector Machine
JMLR 2020
Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation
ICML 2020
Multi-class Novelty Detection Using Mix-up Technique
WACV 2020
NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task
EMNLP 2020
Non-Parametric Calibration for Classification
AISTATS 2020
On the Equivalence between Online and Private Learnability beyond Binary Classification
NeurIPS 2020