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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)

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning CVPR 2025 Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation IJCAI 2025 ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data IJCAI 2025 In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images AAAI 2025 iN2V: Bringing Transductive Node Embeddings to Inductive Graphs ICML 2025 Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion AAAI 2025 Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis AAAI 2025 Incomplete Multi-view Clustering via Diffusion Contrastive Generation AAAI 2025 Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal AAAI 2025 Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding CVPR 2025 In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval ICML 2025 In-Context Editing: Learning Knowledge from Self-Induced Distributions ICLR 2025 In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation NAACL 2025 In-Context Learning as Conditioned Associative Memory Retrieval ICML 2025 In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning ACL 2025 In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention ICML 2025 In-context Prompt-augmented Micro-video Popularity Prediction AAAI 2025 Incorporating Arbitrary Matrix Group Equivariance into KANs ICML 2025 Incorporating Dense Knowledge Alignment into Unified Multimodal Representation Models CVPR 2025 Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction IJCAI 2025 Incorporating Task Progress Knowledge for Subgoal Generation in Robotic Manipulation through Image Edits WACV 2025 Increasing the Generalizability of Similarity-Based Essay Scoring Through Cross-Prompt Training ACL 2025 Incremental Nyström-based Multiple Kernel Clustering AAAI 2025 Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback EMNLP 2025 Inducing lexicons of in-group language with socio-temporal context ACL 2025