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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)

Double Low-Rank Representation With Projection Distance Penalty for Clustering CVPR 2021 Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NeurIPS 2021 Doubly non-central beta matrix factorization for DNA methylation data UAI 2021 Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding AAAI 2021 Do We Know What We Don’t Know? Studying Unanswerable Questions beyond SQuAD 2.0 EMNLP 2021 Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth ICLR 2021 DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021 DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples NeurIPS 2021 DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection ICCV 2021 DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting EACL 2021 DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation CVPR 2021 Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks NeurIPS 2021 DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference NAACL 2021 DriftSurf: Stable-State / Reactive-State Learning under Concept Drift ICML 2021 Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers NeurIPS 2021 DropLoss for Long-Tail Instance Segmentation AAAI 2021 Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition Interspeech 2021 DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning NeurIPS 2021 Dual Compositional Learning in Interactive Image Retrieval AAAI 2021 Dual Contradistinctive Generative Autoencoder CVPR 2021 DualGraph: A Graph-Based Method for Reasoning About Label Noise CVPR 2021 DualNet: Continual Learning, Fast and Slow NeurIPS 2021 Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction AAAI 2021 Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms AISTATS 2021 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021