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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)

Learning to Rank Utterances for Query-Focused Meeting Summarization ACL 2023 Learning to Retrieve Engaging Follow-Up Queries EACL 2023 Learning to Select Pivotal Samples for Meta Re-weighting AAAI 2023 Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling AAAI 2023 Learning to Taste: A Multimodal Wine Dataset NeurIPS 2023 Learning to Tokenize for Generative Retrieval NeurIPS 2023 Learning towards Selective Data Augmentation for Dialogue Generation AAAI 2023 Learning Trajectory-Word Alignments for Video-Language Tasks ICCV 2023 Learning Transformation-Predictive Representations for Detection and Description of Local Features CVPR 2023 Learning Transformer Programs NeurIPS 2023 Learning useful representations for shifting tasks and distributions ICML 2023 Learning Visual Representations via Language-Guided Sampling CVPR 2023 Learning Vortex Dynamics for Fluid Inference and Prediction ICLR 2023 Learning What and Where: Disentangling Location and Identity Tracking Without Supervision ICLR 2023 Learning When to Use Automatic Tabulation in Constraint Model Reformulation IJCAI 2023 Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning ICCV 2023 Learning with Partial Forgetting in Modern Hopfield Networks AISTATS 2023 Learning Word Embeddings for Ukrainian: A Comparative Study of FastText Hyperparameters EACL 2023 Learning World Models with Identifiable Factorization NeurIPS 2023 Learn to Accumulate Evidence from All Training Samples: Theory and Practice ICML 2023 Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery NeurIPS 2023 Learn Your Tokens: Word-Pooled Tokenization for Language Modeling EMNLP 2023 Least Squares Model Averaging for Distributed Data JMLR 2023 Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition NeurIPS 2023 LEDA: a Large-Organization Email-Based Decision-Dialogue-Act Analysis Dataset ACL 2023