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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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'15
'20
'25

Papers (including subtopics)

Improve Representation for Imbalanced Regression through Geometric Constraints CVPR 2025 Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025 Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models MLHC 2025 Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction CVPR 2025 Improving BGE-M3 Multilingual Dense Embeddings for Nigerian Low Resource Languages EMNLP 2025 Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association AAAI 2025 Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE ACL 2025 Improving Clustering with Positive Pairs Generated from LLM-Driven Labels EMNLP 2025 Improving Consistency in LLM Inference using Probabilistic Tokenization NAACL 2025 Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers ICML 2025 Improving Deep Regression with Tightness ICLR 2025 Improving Document Retrieval Coherence for Semantically Equivalent Queries IJCNLP 2025 Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick JMLR 2025 Improving Handshape Representations for Sign Language Processing: A Graph Neural Network Approach EMNLP 2025 Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration NAACL 2025 Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities EMNLP 2025 Improving Informally Romanized Language Identification EMNLP 2025 Improving Instruction-Following in Language Models through Activation Steering ICLR 2025 Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification ACL 2025 Improving Large Language Model Planning with Action Sequence Similarity ICLR 2025 Improving LLM Reasoning through Interpretable Role-Playing Steering EMNLP 2025 Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens ICML 2025 Improving Model Evaluation using SMART Filtering of Benchmark Datasets NAACL 2025 Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels AAAI 2025 Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques ICML 2025