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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)

The Korean Morphologically Tight-Fitting Tokenizer for Noisy User-Generated Texts EMNLP 2021 The Laughing Machine: Predicting Humor in Video WACV 2021 The Low-Dimensional Linear Geometry of Contextualized Word Representations CoNLL 2021 The More Detail, the Better? – Investigating the Effects of Semantic Ontology Specificity on Vector Semantic Classification with a Plains Cree / nêhiyawêwin Dictionary NAACL 2021 The Multiple Instance Learning Gaussian Process Probit Model AISTATS 2021 The neural moving average model for scalable variational inference of state space models UAI 2021 The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model COLT 2021 Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph ICML 2021 The Parameterized Complexity of Clustering Incomplete Data AAAI 2021 The Phonetic Footprint of Covid-19? Interspeech 2021 The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization ICML 2021 The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs IJCAI 2021 The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks JMLR 2021 The role of Disentanglement in Generalisation ICLR 2021 The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity ACL 2021 The Sample Complexity of Meta Sparse Regression AISTATS 2021 The statistical advantage of automatic NLG metrics at the system level ACL 2021 The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders EMNLP 2021 The Surprising Power of Graph Neural Networks with Random Node Initialization IJCAI 2021 The Teaching Dimension of Kernel Perceptron AISTATS 2021 The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits AAAI 2021 The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings ICLR 2021 The UMD Submission to the Explainable MT Quality Estimation Shared Task: Combining Explanation Models with Sequence Labeling EMNLP 2021 The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers AISTATS 2021 The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods ICLR 2021