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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)

Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021 De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning WACV 2021 Debiasing Pre-trained Contextualised Embeddings EACL 2021 DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces EACL 2021 DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks AISTATS 2021 Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach ICLR 2021 Decision-Focused Summarization EMNLP 2021 Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks AAAI 2021 Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond ICML 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling NeurIPS 2021 DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations ACL 2021 Decomposed Mutual Information Estimation for Contrastive Representation Learning ICML 2021 Decoupling dynamics and sampling: RNNs for unevenly sampled data and flexible online predictions L4DC 2021 Decoupling Global and Local Representations via Invertible Generative Flows ICLR 2021 Decoupling Representation Learning from Reinforcement Learning ICML 2021 Decoupling the Depth and Scope of Graph Neural Networks NeurIPS 2021 Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021 DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance CVPR 2021 Deep Active Surface Models CVPR 2021 Deep Attention Diffusion Graph Neural Networks for Text Classification EMNLP 2021 DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach SemEval 2021 DeepBlueAI at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Stacking Diverse Language Model-Based Methods SemEval 2021 Deep Bucket Elimination IJCAI 2021 DeEPCA: Decentralized Exact PCA with Linear Convergence Rate JMLR 2021 DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning AAAI 2021