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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)

Beneath the Surface of Consistency: Exploring Cross-lingual Knowledge Representation Sharing in LLMs NAACL 2025 Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression ICML 2025 Benign Overfitting in Token Selection of Attention Mechanism ICML 2025 BERT-Based Code Learning for Exception Localization and Type Prediction AAAI 2025 BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study COLING 2025 Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination ICML 2025 Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases ACL 2025 Better autoregressive regression with LLMs via regression-aware fine-tuning ICLR 2025 Better Embeddings with Coupled Adam ACL 2025 BEVCalib: LiDAR-Camera Calibration via Geometry-Guided Bird’s-Eye View Representation CoRL 2025 BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving AAAI 2025 Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality AAAI 2025 Beyond Accuracy: Revisiting Out-of-Distribution Generalization in NLI Models CoNLL 2025 Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling ICML 2025 Beyond Averages: Learning with Annotator Disagreement in STS EMNLP 2025 Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment ICML 2025 Beyond Citations: Integrating Finding-Based Relations for Improved Biomedical Article Representations ACL 2025 Beyond Classification: Towards Speech Emotion Reasoning with Multitask AudioLLMs IJCNLP 2025 Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025 Beyond [cls]: Exploring the True Potential of Masked Image Modeling Representations ICCV 2025 Beyond cognacy ACL 2025 Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning ACL 2025 Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning EMNLP 2025 Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection COLING 2025 Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts NAACL 2025