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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
'5
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'25

Papers (including subtopics)

Offline Imitation Learning Through Graph Search and Retrieval RSS 2024 Offline Multitask Representation Learning for Reinforcement Learning NeurIPS 2024 Offline Reinforcement Learning with Behavioral Supervisor Tuning IJCAI 2024 Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting NeurIPS 2024 Oja's Algorithm for Streaming Sparse PCA NeurIPS 2024 OLIVE: Object Level In-Context Visual Embeddings ACL 2024 OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers CVPR 2024 OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition CVPR 2024 Omnipredictors for regression and the approximate rank of convex functions COLT 2024 Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding CVPR 2024 Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts CVPR 2024 OmniVec: Learning Robust Representations With Cross Modal Sharing WACV 2024 On an Intermediate Task for Classifying URL Citations on Scholarly Papers COLING 2024 On Bias-Variance Alignment in Deep Models ICLR 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 On Comparing Time- and Frequency-Domain Rhythm Measures in Classifying Assamese Dialects Interspeech 2024 On Computationally Efficient Multi-Class Calibration COLT 2024 On conditional diffusion models for PDE simulations NeurIPS 2024 On Convex Optimization with Semi-Sensitive Features COLT 2024 On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024 On Differentially Private Subspace Estimation in a Distribution-Free Setting NeurIPS 2024 One2Set + Large Language Model: Best Partners for Keyphrase Generation EMNLP 2024 One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning CVPR 2024 One-class learning with adaptive centroid shift for audio deepfake detection Interspeech 2024 On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024