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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)

Unified Lexical Representation for Interpretable Visual-Language Alignment NeurIPS 2024 Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024 Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data IJCAI 2024 Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models ICML 2024 Unifying Automatic and Interactive Matting with Pretrained ViTs CVPR 2024 Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations ICML 2024 Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence ICLR 2024 Unifying Generation and Prediction on Graphs with Latent Graph Diffusion NeurIPS 2024 Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles NeurIPS 2024 Unifying Image Processing as Visual Prompting Question Answering ICML 2024 Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval COLING 2024 Unifying Multimodal Retrieval via Document Screenshot Embedding EMNLP 2024 Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification AAAI 2024 UniGAD: Unifying Multi-level Graph Anomaly Detection NeurIPS 2024 Union Subgraph Neural Networks AAAI 2024 UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections NeurIPS 2024 UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition EMNLP 2024 Unitary Convolutions for Learning on Graphs and Groups NeurIPS 2024 United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit AAAI 2024 UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels NeurIPS 2024 Unit Selection with Nonbinary Treatment and Effect AAAI 2024 Unity by Diversity: Improved Representation Learning for Multimodal VAEs NeurIPS 2024 Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes ICML 2024 Universal In-Context Approximation By Prompting Fully Recurrent Models NeurIPS 2024 Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models COLT 2024