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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
'10
'15
'20
'25

Papers (including subtopics)

Improving Multilingual Sign Language Translation with Automatically Clustered Language Family Information COLING 2025 Improving Multimodal Learning via Imbalanced Learning ICCV 2025 Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AAAI 2025 Improving Neural Network Accuracy by Concurrently Training with a Twin Network ICLR 2025 Improving Neural Optimal Transport via Displacement Interpolation ICLR 2025 Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models AISTATS 2025 Improving Occupational ISCO Classification of Multilingual Swiss Job Postings with LLM-Refined Training Data ACL 2025 Improving Parallel Sentence Mining for Low-Resource and Endangered Languages ACL 2025 Improving Personalized Search with Regularized Low-Rank Parameter Updates CVPR 2025 Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes ACL 2025 Improving Pre-trained Language Models with Knowledge Enhancement and Filtering Framework NAACL 2025 Improving Pretraining Data Using Perplexity Correlations ICLR 2025 Improving Prompt Generalization for Cross-prompt Essay Trait Scoring from the Scoring-invariance Perspective EMNLP 2025 Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information EMNLP 2025 Improving Relation Extraction by Sequence-to-sequence-based Dependency Parsing Pre-training COLING 2025 Improving Retrieval Augmented Language Model with Self-Reasoning AAAI 2025 Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations EMNLP 2025 Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity CVPR 2025 Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency ICLR 2025 Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling CVPR 2025 Improving the Variance of Differentially Private Randomized Experiments through Clustering ICML 2025 Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking AAAI 2025 Improving Zero-shot Sentence Decontextualisation with Content Selection and Planning EMNLP 2025 ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences ICLR 2025 Imputation for prediction: beware of diminishing returns. ICLR 2025