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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

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51
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966
4,853
5,823
2000
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Papers (including subtopics)

Forecasting Reservoir Inflow via Recurrent Neural ODEs AAAI 2021 ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis CVPR 2021 For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets NeurIPS 2021 Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations NeurIPS 2021 For self-supervised learning, Rationality implies generalization, provably ICLR 2021 Forster Decomposition and Learning Halfspaces with Noise NeurIPS 2021 Forum 4.0: An Open-Source User Comment Analysis Framework EACL 2021 Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors CVPR 2021 Fourier Bases for Solving Permutation Puzzles AISTATS 2021 Fourier Contour Embedding for Arbitrary-Shaped Text Detection CVPR 2021 Fourier Neural Operator for Parametric Partial Differential Equations ICLR 2021 Fractal Autoencoders for Feature Selection AAAI 2021 Framing RNN as a kernel method: A neural ODE approach NeurIPS 2021 Framing Word Sense Disambiguation as a Multi-Label Problem for Model-Agnostic Knowledge Integration EACL 2021 FREE: Feature Refinement for Generalized Zero-Shot Learning ICCV 2021 Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection CVPR 2021 Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples EACL 2021 Fricative Phoneme Detection Using Deep Neural Networks and its Comparison to Traditional Methods Interspeech 2021 FRILL: A Non-Semantic Speech Embedding for Mobile Devices Interspeech 2021 From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions AAAI 2021 From Canonical Correlation Analysis to Self-supervised Graph Neural Networks NeurIPS 2021 From characters to words: the turning point of BPE merges EACL 2021 From Contexts to Locality: Ultra-High Resolution Image Segmentation via Locality-Aware Contextual Correlation ICCV 2021 From Discourse to Narrative: Knowledge Projection for Event Relation Extraction ACL 2021 From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction JMLR 2021