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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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'25

Papers (including subtopics)

Robust AI-Generated Text Detection by Restricted Embeddings EMNLP 2024 Robust and Conjugate Gaussian Process Regression ICML 2024 Robust Classification via a Single Diffusion Model ICML 2024 Robust Classification via Regression for Learning with Noisy Labels ICLR 2024 RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-Centric Learning WACV 2024 Robust Conformal Prediction Using Privileged Information NeurIPS 2024 Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence NeurIPS 2024 Robust Contrastive Multi-view Kernel Clustering IJCAI 2024 Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation AISTATS 2024 Robust Depth Enhancement via Polarization Prompt Fusion Tuning CVPR 2024 Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models AAAI 2024 Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024 Robust Fine-tuning of Zero-shot Models via Variance Reduction NeurIPS 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Robust group and simultaneous inferences for high-dimensional single index model NeurIPS 2024 Robustifying State-space Models for Long Sequences via Approximate Diagonalization ICLR 2024 Robust Losses for Decision-Focused Learning IJCAI 2024 Robust Loss Functions for Training Decision Trees with Noisy Labels AAAI 2024 Robust Mixture Learning when Outliers Overwhelm Small Groups NeurIPS 2024 Robustness of Nonlinear Representation Learning ICML 2024 Robustness Verification of Multi-Class Tree Ensembles AAAI 2024 Robust Neural Contextual Bandit against Adversarial Corruptions NeurIPS 2024 Robust Node Classification on Graph Data with Graph and Label Noise AAAI 2024 Robust Noisy Correspondence Learning with Equivariant Similarity Consistency CVPR 2024 Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024