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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)

SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE CVPR 2025 SARA: Salience-Aware Reinforced Adaptive Decoding for Large Language Models in Abstractive Summarization ACL 2025 Sarcasm-R1: Enhancing Sarcasm Detection through Focused Reasoning EMNLP 2025 SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds CVPR 2025 SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery AAAI 2025 SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders ICCV 2025 SAVOR: Skill Affordance Learning from Visuo-Haptic Perception for Robot-Assisted Bite Acquisition CoRL 2025 Scalable Acceleration for Classification-Based Derivative-Free Optimization AAAI 2025 Scalable and Cost Effective High-Cardinality Classification with LLMs via Multi-View Label Representations and Retrieval Augmentation EMNLP 2025 Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization AAAI 2025 Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract) IJCAI 2025 Scalable Hierarchical Deep Neural Network for Time Series Analysis in Wearable Sensor-based Human Activity Recognition AAAI 2025 Scalable Image Tokenization with Index Backpropagation Quantization ICCV 2025 Scalable Implicit Graphon Learning AISTATS 2025 Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment ICML 2025 Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors AAAI 2025 Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression AAAI 2025 Scalable Trajectory-User Linking with Dual-Stream Representation Networks AAAI 2025 Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires ICLR 2025 Scalar_NITK at SHROOM-CAP: Multilingual Factual Hallucination and Fluency Error Detection in Scientific Publications Using Retrieval-Guided Evidence and Attention-Based Feature Fusion AACL 2025 Scale-Free Graph-Language Models ICLR 2025 Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling ICCV 2025 Scaling and evaluating sparse autoencoders ICLR 2025 Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing ACL 2025 Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract) AAAI 2025