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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)

MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation ICCV 2023 Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling AAAI 2023 Mixtures of All Trees AISTATS 2023 Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation NeurIPS 2023 (ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning CVPR 2023 ML-Decoder: Scalable and Versatile Classification Head WACV 2023 ML Mob at SemEval-2023 Task 5: “Breaking News: Our Semi-Supervised and Multi-Task Learning Approach Spoils Clickbait” SemEval 2023 MMD Aggregated Two-Sample Test JMLR 2023 MMD-B-Fair: Learning Fair Representations with Statistical Testing AISTATS 2023 MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting NeurIPS 2023 MMEL: A Joint Learning Framework for Multi-Mention Entity Linking UAI 2023 MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability NeurIPS 2023 MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System ACL 2023 Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract) AAAI 2023 Modality-Agnostic Debiasing for Single Domain Generalization CVPR 2023 Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder NeurIPS 2023 Modality Unifying Network for Visible-Infrared Person Re-Identification ICCV 2023 Model-Aware Contrastive Learning: Towards Escaping the Dilemmas ICML 2023 Model Calibration in Dense Classification with Adaptive Label Perturbation ICCV 2023 Model Compression for DNN-based Speaker Verification Using Weight Quantization Interspeech 2023 ModelDiff: A Framework for Comparing Learning Algorithms ICML 2023 Model-enhanced Vector Index NeurIPS 2023 Modeling Appropriate Language in Argumentation ACL 2023 Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing NeurIPS 2023 Modeling Entities As Semantic Points for Visual Information Extraction in the Wild CVPR 2023