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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)

A Variational Information Bottleneck Approach to Multi-Omics Data Integration AISTATS 2021 A Vector-Based Representation to Enhance Head Pose Estimation WACV 2021 “Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models EMNLP 2021 A Voice-Activated Switch for Persons with Motor and Speech Impairments: Isolated-Vowel Spotting Using Neural Networks Interspeech 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021 A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021 A Weight Moving Average Based Alternate Decoupled Learning Algorithm for Long-Tailed Language Identification Interspeech 2021 BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language CoNLL 2021 Background Splitting: Finding Rare Classes in a Sea of Background CVPR 2021 Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction EMNLP 2021 Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer’s Disease classification MLHC 2021 Back to the Feature: Learning Robust Camera Localization From Pixels To Pose CVPR 2021 Backward-Compatible Prediction Updates: A Probabilistic Approach NeurIPS 2021 Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks AAAI 2021 BAHP: Benchmark of Assessing Word Embeddings in Historical Portuguese EMNLP 2021 Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion NeurIPS 2021 Balanced Open Set Domain Adaptation via Centroid Alignment AAAI 2021 Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution EMNLP 2021 BAMBOO: A Multi-instance Multi-label Approach Towards VDI User Logon Behavior Modeling IJCAI 2021 Banach Space Representer Theorems for Neural Networks and Ridge Splines JMLR 2021 Barlow Twins: Self-Supervised Learning via Redundancy Reduction ICML 2021 BART-TL: Weakly-Supervised Topic Label Generation EACL 2021 BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021 BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain NeurIPS 2021 Batch Normalization Orthogonalizes Representations in Deep Random Networks NeurIPS 2021