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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
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'25

Papers (including subtopics)

Cut your Losses with Squentropy ICML 2023 CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss NeurIPS 2023 Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation ICLR 2023 D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching ICML 2023 DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets NeurIPS 2023 Dancing in the Dark: A Benchmark towards General Low-light Video Enhancement ICCV 2023 DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization ICCV 2023 DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices CVPR 2023 Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning ICCV 2023 Darwinian Model Upgrades: Model Evolving with Selective Compatibility AAAI 2023 DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation NeurIPS 2023 Data Augmentation for Imbalanced Regression AISTATS 2023 Data-Centric Learning from Unlabeled Graphs with Diffusion Model NeurIPS 2023 Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer ICLR 2023 Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) IJCAI 2023 Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System AAAI 2023 Data-Driven Network Neuroscience: On Data Collection and Benchmark NeurIPS 2023 Data-Driven Subgroup Identification for Linear Regression ICML 2023 Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training EMNLP 2023 Data-Efficient Finetuning Using Cross-Task Nearest Neighbors ACL 2023 Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision CVPR 2023 Data Factors for Better Compositional Generalization EMNLP 2023 Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint CVPR 2023 Data-Free Sketch-Based Image Retrieval CVPR 2023 Data Imputation with Iterative Graph Reconstruction AAAI 2023