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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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Papers (including subtopics)

MeetingBank: A Benchmark Dataset for Meeting Summarization ACL 2023 MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers NeurIPS 2023 MEGA: Multilingual Evaluation of Generative AI EMNLP 2023 MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities EMNLP 2023 MEG Encoding using Word Context Semantics in Listening Stories Interspeech 2023 MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition AAAI 2023 MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization ACL 2023 Memorization-Dilation: Modeling Neural Collapse Under Noise ICLR 2023 Memory-Augmented Theory of Mind Network AAAI 2023 MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking ICCV 2023 MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection NeurIPS 2023 Meta-forests: Domain generalization on random forests with meta-learning ACML 2023 Metagenomic Binning using Connectivity-constrained Variational Autoencoders ICML 2023 Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference NeurIPS 2023 Meta-Learning for Fast Model Recommendation in Unsupervised Multivariate Time Series Anomaly Detection AutoML 2023 Meta-OLE: Meta-Learned Orthogonal Low-Rank Embedding WACV 2023 Metaphor Detection via Explicit Basic Meanings Modelling ACL 2023 Metaphor Detection with Effective Context Denoising EACL 2023 METAPROBE: A Representation- and Task-Agnostic Probe EMNLP 2023 Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams AAAI 2023 MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning AAAI 2023 MetaViewer: Towards a Unified Multi-View Representation CVPR 2023 MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection CVPR 2023 Methodological Insights in Detecting Subtle Semantic Shifts with Contextualized and Static Language Models EMNLP 2023 MetricAug: A Distortion Metric-Lead Augmentation Strategy for Training Noise-Robust Speech Emotion Recognizer Interspeech 2023