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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)

Adaptive Universal Generalized PageRank Graph Neural Network ICLR 2021 Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021 Adaptor Grammars for Unsupervised Paradigm Clustering ACL 2021 AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning WACV 2021 AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition ICCV 2021 A Data-Driven Approach for Gin Rummy Hand Evaluation AAAI 2021 A Data Driven, Convex Optimization Approach to Learning Koopman Operators L4DC 2021 AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding ACL 2021 AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss IJCAI 2021 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021 Additive Error Guarantees for Weighted Low Rank Approximation ICML 2021 Additive Phoneme-Aware Margin Softmax Loss for Language Recognition Interspeech 2021 Addressing Class Imbalance in Federated Learning AAAI 2021 Addressing Compliance in Call Centers with Entity Extraction Interspeech 2021 A Deep and Recurrent Architecture for Primate Vocalization Classification Interspeech 2021 A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021 A Deep Metric Learning Approach to Account Linking NAACL 2021 A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation ICML 2021 A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation CoRL 2021 A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing EMNLP 2021 A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation EMNLP 2021 A Discriminative Gaussian Mixture Model with Sparsity ICLR 2021 A Discriminative Technique for Multiple-Source Adaptation ICML 2021 A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews NAACL 2021 A Distribution-dependent Analysis of Meta Learning ICML 2021