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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)

Co-evolution Transformer for Protein Contact Prediction NeurIPS 2021 Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification AAAI 2021 CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation IJCAI 2021 COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List NAACL 2021 Collaborative Classification from Noisy Labels AISTATS 2021 Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare IJCAI 2021 Collaborative Novelty Detection for Distributed Data by a Probabilistic Method ACML 2021 Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks JMLR 2021 Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings EACL 2021 CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization ICCV 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Combinatorial Learning of Graph Edit Distance via Dynamic Embedding CVPR 2021 Combinatorial Pure Exploration with Bottleneck Reward Function NeurIPS 2021 Combiner: Full Attention Transformer with Sparse Computation Cost NeurIPS 2021 Combining Ensembles and Data Augmentation Can Harm Your Calibration ICLR 2021 Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration NeurIPS 2021 Combining Label Propagation and Simple Models out-performs Graph Neural Networks ICLR 2021 Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model AAAI 2021 Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers NeurIPS 2021 Combining semantic search and twin product classification for recognition of purchasable items in voice shopping ACL 2021 Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa EMNLP 2021 COMBO: A New Module for EUD Parsing ACL 2021 Come hither or go away? Recognising pre-electoral coalition signals in the news EMNLP 2021 CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model ACL 2021 Communication-Aware Collaborative Learning AAAI 2021