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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)

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction ICLR 2024 STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals EMNLP 2024 STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations IJCAI 2024 Start Simple: Progressive Difficulty Multitask Learning NAACL 2024 State Chrono Representation for Enhancing Generalization in Reinforcement Learning NeurIPS 2024 Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs ACL 2024 State Representation Learning Using an Unbalanced Atlas ICLR 2024 State Space Models on Temporal Graphs: A First-Principles Study NeurIPS 2024 Stationarity without mean reversion in improper Gaussian processes ICML 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024 Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements CVPR 2024 Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024 Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NeurIPS 2024 Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming ICLR 2024 Statistical Multicriteria Benchmarking via the GSD-Front NeurIPS 2024 Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024 Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts ICLR 2024 Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024 Statistical Uncertainty in Word Embeddings: GloVe-V EMNLP 2024 Stealing part of a production language model ICML 2024 Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits AAAI 2024 Steerers: A Framework for Rotation Equivariant Keypoint Descriptors CVPR 2024 StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography AAAI 2024 Stein Random Feature Regression UAI 2024