Classification
15,497 papers
Papers per year
2
14
21
28
28
27
97
96
93
96
134
114
163
297
248
262
463
705
1,186
1,458
1,560
1,521
1,606
1,674
1,821
1,468
315
2000
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Papers
Label Noise Robustness of Conformal Prediction
JMLR 2024
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach
WACV 2024
Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition
ICML 2024
Language-Guided Transformer for Federated Multi-Label Classification
AAAI 2024
Language Identification of Philippine Creole Spanish: Discriminating Chavacano From Related Languages
NAACL 2024
Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading
NeurIPS 2024
Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction
NAACL 2024
Large Language Models are Students at Various Levels: Zero-shot Question Difficulty Estimation
EMNLP 2024
Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency
COLT 2024
LaSCal: Label-Shift Calibration without target labels
NeurIPS 2024
Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time
ACL 2024
LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
ICML 2024
LEAF: Predicting the Environmental Impact of Food Products based on their Name
ACL 2024
Learnability Gaps of Strategic Classification
COLT 2024
Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification
WACV 2024
Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters
AAAI 2024
Learning Bidirectional Morphological Inflection like Humans
COLING 2024
Learning Big Logical Rules by Joining Small Rules
IJCAI 2024
Learning Decision Trees and Forests with Algorithmic Recourse
ICML 2024
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization
AAAI 2024
Learning from Crowds with Dual-View K-Nearest Neighbor
UAI 2024
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
ICLR 2024
Learning from Noisy Labels via Conditional Distributionally Robust Optimization
NeurIPS 2024
Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data
IJCAI 2024
Learning Label Hierarchy with Supervised Contrastive Learning
EACL 2024