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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)

“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD AISTATS 2023 PMAES: Prompt-mapping Contrastive Learning for Cross-prompt Automated Essay Scoring ACL 2023 PMatch: Paired Masked Image Modeling for Dense Geometric Matching CVPR 2023 PMR: Prototypical Modal Rebalance for Multimodal Learning CVPR 2023 POEM: Polarization of Embeddings for Domain-Invariant Representations AAAI 2023 PoET: A generative model of protein families as sequences-of-sequences NeurIPS 2023 Poincare ResNet ICCV 2023 PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering CVPR 2023 PointGPT: Auto-regressively Generative Pre-training from Point Clouds NeurIPS 2023 PointListNet: Deep Learning on 3D Point Lists CVPR 2023 Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery AAAI 2023 Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NeurIPS 2023 Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings EMNLP 2023 Polarity Is All You Need to Learn and Transfer Faster ICML 2023 Polarization-Aware Low-Light Image Enhancement AAAI 2023 Policy-Adaptive Estimator Selection for Off-Policy Evaluation AAAI 2023 Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning AAAI 2023 Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation Models EMNLP 2023 Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision ICML 2023 Polyhedron Attention Module: Learning Adaptive-order Interactions NeurIPS 2023 Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023 Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ICML 2023 Pose-Guided 3D Human Generation in Indoor Scene AAAI 2023 Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation CVPR 2023 Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective AAAI 2023