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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)

Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization CVPR 2023 Decomposed scoring of CCG dependencies ACL 2023 Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction CVPR 2023 Decompose Novel into Known: Part Concept Learning For 3D Novel Class Discovery NeurIPS 2023 Decompositional Generation Process for Instance-Dependent Partial Label Learning ICLR 2023 Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction ICCV 2023 DecompX: Explaining Transformers Decisions by Propagating Token Decomposition ACL 2023 Deconstructed Generation-Based Zero-Shot Model AAAI 2023 Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses NeurIPS 2023 Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection ACML 2023 Decoupling-and-Aggregating for Image Exposure Correction CVPR 2023 Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning CVPR 2023 Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery ACL 2023 Deductive Additivity for Planning of Natural Language Proofs ACL 2023 Deep Active Contours for Real-time 6-DoF Object Tracking ICCV 2023 Deep Attentive Model for Knowledge Tracing AAAI 2023 DeepBlueAI at PragTag-2023:Ensemble-based Text Classification Approaches under Limited Data Resources EMNLP 2023 DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change ICCV 2023 Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach ICML 2023 Deep Deterministic Uncertainty: A New Simple Baseline CVPR 2023 Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring CVPR 2023 Deep Ensembles for Graphs with Higher-order Dependencies ICLR 2023 Deep equilibrium models as estimators for continuous latent variables AISTATS 2023 Deep Factorized Metric Learning CVPR 2023 Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric CVPR 2023