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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)

Distributional Depth-Based Estimation of Object Articulation Models CoRL 2021 Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models NeurIPS 2021 Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition CVPR 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021 Distributional Robustness Loss for Long-Tail Learning ICCV 2021 Distributional Sliced-Wasserstein and Applications to Generative Modeling ICLR 2021 Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting ICML 2021 Distribution-free inference for regression: discrete, continuous, and in between NeurIPS 2021 Distribution Regression for Sequential Data AISTATS 2021 Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition CVPR 2021 Diverse Message Passing for Attribute with Heterophily NeurIPS 2021 Diverse Pretrained Context Encodings Improve Document Translation ACL 2021 Diverse Semantic Image Synthesis via Probability Distribution Modeling CVPR 2021 Diversity-Aware Batch Active Learning for Dependency Parsing NAACL 2021 Diversity Matters When Learning From Ensembles NeurIPS 2021 Divide and Contrast: Self-Supervised Learning From Uncurated Data ICCV 2021 DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense SemEval 2021 Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study Interspeech 2021 DOBF: A Deobfuscation Pre-Training Objective for Programming Languages NeurIPS 2021 DocParser: Hierarchical Document Structure Parsing from Renderings AAAI 2021 DOCTOR: A Simple Method for Detecting Misclassification Errors NeurIPS 2021 Document-level Event Extraction via Parallel Prediction Networks ACL 2021 Document-level Relation Extraction as Semantic Segmentation IJCAI 2021 Document-Level Relation Extraction with Reconstruction AAAI 2021 Do Different Deep Metric Learning Losses Lead to Similar Learned Features? ICCV 2021