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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
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966
4,853
5,823
2000
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Papers (including subtopics)

Failures of Model-dependent Generalization Bounds for Least-norm Interpolation JMLR 2021 Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees ICML 2021 Fair Clustering Under a Bounded Cost NeurIPS 2021 Fair Comparison: Quantifying Variance in Results for Fine-Grained Visual Categorization WACV 2021 Fair for All: Best-effort Fairness Guarantees for Classification AISTATS 2021 Fairness constraint of Fuzzy C-means Clustering improves clustering fairness ACML 2021 Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints AAAI 2021 Fairness via Representation Neutralization NeurIPS 2021 Fair Representations by Compression AAAI 2021 Fair Selective Classification Via Sufficiency ICML 2021 Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem NeurIPS 2021 Fake Audio Detection in Resource-Constrained Settings Using Microfeatures Interspeech 2021 FakeFlow: Fake News Detection by Modeling the Flow of Affective Information EACL 2021 Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks AAAI 2021 FANATIC: FAst Noise-Aware TopIc Clustering EMNLP 2021 FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German EMNLP 2021 FANS: Fusing ASR and NLU for On-Device SLU Interspeech 2021 Far-Field Speaker Localization and Adaptive GLMB Tracking Interspeech 2021 FAST: A carefully sampled and cognitively motivated dataset for distributional semantic evaluation CoNLL 2021 Fast Adaptation with Linearized Neural Networks AISTATS 2021 Fast and Compact Bilinear Pooling by Shifted Random Maclaurin AAAI 2021 Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients AAAI 2021 Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition NAACL 2021 Fast Axiomatic Attribution for Neural Networks NeurIPS 2021 FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition EMNLP 2021