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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model NeurIPS 2023 Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity ICML 2023 Label Distribution Changing Learning with Sample Space Expanding JMLR 2023 Label Enhancement via Joint Implicit Representation Clustering IJCAI 2023 Label Information Bottleneck for Label Enhancement CVPR 2023 Labeling Neural Representations with Inverse Recognition NeurIPS 2023 Label-Noise Learning with Intrinsically Long-Tailed Data ICCV 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NeurIPS 2023 Labels, Information, and Computation: Efficient Learning Using Sufficient Labels JMLR 2023 Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification AAAI 2023 Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps IJCAI 2023 LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization ACL 2023 LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning AAAI 2023 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information NeurIPS 2023 Language-Agnostic Measures Discriminate Inflection and Derivation EACL 2023 Language-Driven Representation Learning for Robotics RSS 2023 Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification CVPR 2023 Language Model Analysis for Ontology Subsumption Inference ACL 2023 Language Modeling with Latent Situations ACL 2023 Language Model Personalization for Improved Touchscreen Typing Interspeech 2023 Language Models are Weak Learners NeurIPS 2023 Language of Bargaining ACL 2023 Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment NeurIPS 2023 Language-specific Boundary Learning for Improving Mandarin-English Code-switching Speech Recognition Interspeech 2023 Large-Capacity and Flexible Video Steganography via Invertible Neural Network CVPR 2023