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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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'25

Papers (including subtopics)

Image as Set of Points ICLR 2023 ImageBind: One Embedding Space To Bind Them All CVPR 2023 Image Captioners Are Scalable Vision Learners Too NeurIPS 2023 Image-Consistent Detection of Road Anomalies As Unpredictable Patches WACV 2023 Image Cropping With Spatial-Aware Feature and Rank Consistency CVPR 2023 Image generation with shortest path diffusion ICML 2023 ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification NeurIPS 2023 ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation NeurIPS 2023 Image Super-Resolution Using T-Tetromino Pixels CVPR 2023 Image-Text Pre-Training for Logo Recognition WACV 2023 Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning ACL 2023 Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models NeurIPS 2023 Imbalanced Label Distribution Learning AAAI 2023 Imbalanced Mixed Linear Regression NeurIPS 2023 Imbalanced Node Classification Beyond Homophilic Assumption IJCAI 2023 Imbalanced Semi-supervised Learning with Bias Adaptive Classifier ICLR 2023 ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition ICCV 2023 ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification AAAI 2023 Imitating Human Behaviour with Diffusion Models ICLR 2023 I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs AAAI 2023 Impact of Co-occurrence on Factual Knowledge of Large Language Models EMNLP 2023 ImpDet: Exploring Implicit Fields for 3D Object Detection WACV 2023 IMP: Iterative Matching and Pose Estimation With Adaptive Pooling CVPR 2023 Implications of sparsity and high triangle density for graph representation learning AISTATS 2023 Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing COLT 2023