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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)

Deep kernels with probabilistic embeddings for small-data learning UAI 2021 Deep Latent Graph Matching ICML 2021 Deep-Learning-Based Central African Primate Species Classification with MixUp and SpecAugment Interspeech 2021 Deep Learning for Functional Data Analysis with Adaptive Basis Layers ICML 2021 Deep Learning in Latent Space for Video Prediction and Compression CVPR 2021 Deep Learning meets Projective Clustering ICLR 2021 Deep Learning on Graphs for Natural Language Processing NAACL 2021 Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data NeurIPS 2021 DeepME: Deep Mixture Experts for Large-scale Image Classification IJCAI 2021 DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates CVPR 2021 Deep Metric Learning for Open World Semantic Segmentation ICCV 2021 Deep Metric Learning with Graph Consistency AAAI 2021 Deep Metric Learning with Self-Supervised Ranking AAAI 2021 Deep Molecular Representation Learning via Fusing Physical and Chemical Information NeurIPS 2021 Deep Mutual Information Maximin for Cross-Modal Clustering AAAI 2021 Deep Networks and the Multiple Manifold Problem ICLR 2021 Deep Networks Provably Classify Data on Curves NeurIPS 2021 Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS ICLR 2021 Deep Open Intent Classification with Adaptive Decision Boundary AAAI 2021 Deep Optimized Priors for 3D Shape Modeling and Reconstruction CVPR 2021 Deep Partial Rank Aggregation for Personalized Attributes AAAI 2021 Deep Portfolio Optimization via Distributional Prediction of Residual Factors AAAI 2021 Deep Probabilistic Canonical Correlation Analysis AAAI 2021 DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis AAAI 2021 Deep Radial-Basis Value Functions for Continuous Control AAAI 2021