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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
'5
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'15
'20
'25

Papers (including subtopics)

On the Role of Randomization in Adversarially Robust Classification NeurIPS 2023 On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction EACL 2023 On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure AAAI 2023 On the Saturation Effect of Kernel Ridge Regression ICLR 2023 On The Specialization of Neural Modules ICLR 2023 On the Stability and Generalization of Triplet Learning AAAI 2023 On the Stability-Plasticity Dilemma of Class-Incremental Learning CVPR 2023 On the Stepwise Nature of Self-Supervised Learning ICML 2023 On the Strength of Sequence Labeling and Generative Models for Aspect Sentiment Triplet Extraction ACL 2023 On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity JMLR 2023 On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training NeurIPS 2023 On the Use of High Frequency Information for Voice Pathology Classification Interspeech 2023 On the Within-Group Fairness of Screening Classifiers ICML 2023 On Uni-Modal Feature Learning in Supervised Multi-Modal Learning ICML 2023 Open Anomalous Trajectory Recognition via Probabilistic Metric Learning IJCAI 2023 OpenGait: Revisiting Gait Recognition Towards Better Practicality CVPR 2023 Open Information Extraction via Chunks EMNLP 2023 OpenMix: Exploring Outlier Samples for Misclassification Detection CVPR 2023 Open Problem: Learning sparse linear concepts by priming the features COLT 2023 OpenProteinSet: Training data for structural biology at scale NeurIPS 2023 Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator CVPR 2023 Open-Set Likelihood Maximization for Few-Shot Learning CVPR 2023 Open Set Relation Extraction via Unknown-Aware Training ACL 2023 Open-Set Representation Learning Through Combinatorial Embedding CVPR 2023 OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning NeurIPS 2023