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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)

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment COLING 2025 Disentangling Representations through Multi-task Learning ICLR 2025 Disentangling Subjectivity and Uncertainty for Hate Speech Annotation and Modeling using Gaze EMNLP 2025 Disentangling Tabular Data Towards Better One-Class Anomaly Detection AAAI 2025 Disentangling the Roles of Representation and Selection in Data Pruning ACL 2025 Disentangling Uncertainties by Learning Compressed Data Representation L4DC 2025 Disparate Conditional Prediction in Multiclass Classifiers ICML 2025 DisPose: Disentangling Pose Guidance for Controllable Human Image Animation ICLR 2025 Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms ICML 2025 Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation COLING 2025 Distance-Based Tree-Sliced Wasserstein Distance ICLR 2025 Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs ACL 2025 Distilling A Universal Expert from Clustered Federated Learning IJCAI 2025 Distilling Dataset into Neural Field ICLR 2025 Distilling Long-tailed Datasets CVPR 2025 Distilling On-device Language Models for Robot Planning with Minimal Human Intervention CoRL 2025 Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment CVPR 2025 Distilling Structural Representations into Protein Sequence Models ICLR 2025 Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment CVPR 2025 Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint ICLR 2025 Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation IJCAI 2025 Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers ICLR 2025 Distributional Diffusion Models with Scoring Rules ICML 2025 Distributionally Robust Active Learning for Gaussian Process Regression ICML 2025 Distribution-Aware Mean Estimation under User-level Local Differential Privacy AISTATS 2025