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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)

Adaptive Graph Learning for Multimodal Conversational Emotion Detection AAAI 2024 Adaptive Hardness Negative Sampling for Collaborative Filtering AAAI 2024 Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing ICML 2024 Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare NeurIPS 2024 Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NeurIPS 2024 Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning AAAI 2024 Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction JMLR 2024 Adaptive Manifold for Imbalanced Transductive Few-Shot Learning WACV 2024 Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction AAAI 2024 Adaptive neural network based control approach for building energy control under changing environmental conditions L4DC 2024 Adaptive Passive-Aggressive Framework for Online Regression with Side Information NeurIPS 2024 Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders ICLR 2024 Adaptive Robust Learning using Latent Bernoulli Variables ICML 2024 Adaptive Slot Attention: Object Discovery with Dynamic Slot Number CVPR 2024 Adaptive Softmax Trees for Many-Class Classification UAI 2024 Adaptive Text Watermark for Large Language Models ICML 2024 ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities MIDL 2024 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning WACV 2024 Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations AAAI 2024 AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor CVPR 2024 A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024 A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data NeurIPS 2024 A Data-Driven Measure of Relative Uncertainty for Misclassification Detection ICLR 2024 A data-driven model of acoustic speech intelligibility for optimization-based models of speech production Interspeech 2024 A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry EACL 2024