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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)

SABER: Uncovering Vulnerabilities in Safety Alignment via Cross-Layer Residual Connection EMNLP 2025 SaCa: A Highly Compatible Reinforcing Framework for Knowledge Graph Embedding via Structural Pattern Contrast EMNLP 2025 SA-DETR:Span Aware Detection Transformer for Moment Retrieval COLING 2025 SADSLyC: A Corpus for Saudi Arabian Multi-dialect Identification through Song Lyrics COLING 2025 SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability ICML 2025 SAEs Are Good for Steering – If You Select the Right Features EMNLP 2025 SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models EMNLP 2025 SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders ICML 2025 Safe exploration in reproducing kernel Hilbert spaces AISTATS 2025 SAFIRE: Segment Any Forged Image Region AAAI 2025 SAG: Enhancing Domain-Specific Information Retrieval with Semantic-Augmented Graphs EMNLP 2025 SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection ICLR 2025 SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation IJCAI 2025 Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification ICLR 2025 Samba: A Unified Mamba-based Framework for General Salient Object Detection CVPR 2025 SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity CVPR 2025 SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation ICLR 2025 Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions COLT 2025 Sample Complexity of Linear Regression Models for Opinion Formation in Networks AAAI 2025 Sample Compression Scheme Reductions ALT 2025 Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition ACL 2025 Sample-specific Noise Injection for Diffusion-based Adversarial Purification ICML 2025 SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement ICLR 2025 SAND: One-Shot Feature Selection with Additive Noise Distortion ICML 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025