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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)

Edge-Aware Regional Message Passing Controller for Image Forgery Localization CVPR 2023 Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks ICLR 2023 Edge Structure Learning via Low Rank Residuals for Robust Image Classification AAAI 2023 EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships MLHC 2023 EEL: Efficiently Encoding Lattices for Reranking ACL 2023 eevvgg at SemEval-2023 Task 11: Offensive Language Classification with Rater-based Information SemEval 2023 Effective and Efficient Structural Inference with Reservoir Computing ICML 2023 Effective Bayesian Heteroscedastic Regression with Deep Neural Networks NeurIPS 2023 Effective Contrastive Weighting for Dense Query Expansion ACL 2023 Effective Human-AI Teams via Learned Natural Language Rules and Onboarding NeurIPS 2023 Effective Invertible Arbitrary Image Rescaling WACV 2023 Effectively Modeling Time Series with Simple Discrete State Spaces ICLR 2023 Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023 Effective Neural Topic Modeling with Embedding Clustering Regularization ICML 2023 Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary AAAI 2023 Effective Self-supervised Pre-training on Low-compute Networks without Distillation ICLR 2023 Effects of Graph Convolutions in Multi-layer Networks ICLR 2023 Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection NeurIPS 2023 Efficient Algorithms for Sparse Moment Problems without Separation COLT 2023 Efficient and Accurate Learning of Mixtures of Plackett-Luce Models AAAI 2023 Efficient approximation of neural population structure and correlations with probabilistic circuits ICLR 2023 Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction ICML 2023 Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration ICML 2023 Efficient Computation of Rankings from Pairwise Comparisons JMLR 2023 Efficient Conditionally Invariant Representation Learning ICLR 2023