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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)

Computationally Efficient Methods for Invariant Feature Selection with Sparsity UAI 2025 Computation Mechanism Behind LLM Position Generalization ACL 2025 Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders ICML 2025 CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution ICLR 2025 Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings EMNLP 2025 Concentration Distribution Learning from Label Distributions ICML 2025 Concept-Based RAG Models: A High-Accuracy Fact Retrieval Approach COLING 2025 Concept-pedia: a Wide-coverage Semantically-annotated Multimodal Dataset EMNLP 2025 CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts ICLR 2025 CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025 Condensing Action Segmentation Datasets via Generative Network Inversion CVPR 2025 Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction IJCAI 2025 Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting IJCAI 2025 Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests AAAI 2025 Conditional Information Bottleneck-Based Multivariate Time Series Forecasting IJCAI 2025 Conditional Kernel Imitation Learning for Continuous State Environments L4DC 2025 Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression AAAI 2025 Conditional Prediction ROC Bands for Graph Classification AISTATS 2025 Conditional Semantic Textual Similarity via Conditional Contrastive Learning COLING 2025 Conditional Testing based on Localized Conformal p-values ICLR 2025 ConECT Dataset: Overcoming Data Scarcity in Context-Aware E-Commerce MT ACL 2025 Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification ICML 2025 ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining ACL 2025 Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates AAAI 2025 Conformalized Survival Analysis for General Right-Censored Data ICLR 2025