Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

On the Sample Complexity of Learning Sum-Product Networks AISTATS 2020 On the Sentence Embeddings from Pre-trained Language Models EMNLP 2020 On the Theory of Transfer Learning: The Importance of Task Diversity NeurIPS 2020 On the Usage of Multi-Feature Integration for Speaker Verification and Language Identification Interspeech 2020 On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location CVPR 2020 On Uniform Convergence and Low-Norm Interpolation Learning NeurIPS 2020 On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies ICML 2020 OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization AAAI 2020 Open Graph Benchmark: Datasets for Machine Learning on Graphs NeurIPS 2020 Open Problem: Model Selection for Contextual Bandits COLT 2020 Open-Set Short Utterance Forensic Speaker Verification Using Teacher-Student Network with Explicit Inductive Bias Interspeech 2020 Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation CVPR 2020 Optimal Approximation of Doubly Stochastic Matrices AISTATS 2020 Optimal Best-arm Identification in Linear Bandits NeurIPS 2020 Optimal Bipartite Network Clustering JMLR 2020 Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020 Optimal Deterministic Coresets for Ridge Regression AISTATS 2020 Optimal Estimation of Sparse Topic Models JMLR 2020 Optimal Estimator for Unlabeled Linear Regression ICML 2020 Optimal Learning from Verified Training Data NeurIPS 2020 Optimal Margin Distribution Learning in Dynamic Environments AAAI 2020 Optimal Margin Distribution Machine for Multi-Instance Learning IJCAI 2020 Optimal multiclass overfitting by sequence reconstruction from Hamming queries ALT 2020 Optimal Randomized First-Order Methods for Least-Squares Problems ICML 2020 Optimistic Bounds for Multi-output Learning ICML 2020