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
21
30
55
40
51
225
219
249
257
357
364
480
942
818
966
1,394
2,092
3,114
4,415
4,853
5,064
5,371
5,992
6,412
5,823
1,475
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Discriminative Complementary-Label Learning with Weighted Loss
ICML 2021
Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On
CVPR 2021
Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
IJCAI 2021
Disentangled Information Bottleneck
AAAI 2021
Disentangled Lifespan Face Synthesis
ICCV 2021
Disentangled Motif-aware Graph Learning for Phrase Grounding
AAAI 2021
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond
AAAI 2021
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders
EMNLP 2021
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
NeurIPS 2021
Disentangling Label Distribution for Long-Tailed Visual Recognition
CVPR 2021
Disentangling Representations of Text by Masking Transformers
EMNLP 2021
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
ICML 2021
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models
NAACL 2021
Dissecting Supervised Contrastive Learning
ICML 2021
Dissecting the Aero-Acoustic Parameters of Open Articulatory Transitions
Interspeech 2021
Dissociating Semantic and Phonemic Search Strategies in the Phonemic Verbal Fluency Task in early Dementia
NAACL 2021
Distilling Relation Embeddings from Pretrained Language Models
EMNLP 2021
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
NeurIPS 2021
Distilling Virtual Examples for Long-Tailed Recognition
ICCV 2021
Distilling Word Meaning in Context from Pre-trained Language Models
EMNLP 2021
Distinctiveness Oriented Positional Equilibrium for Point Cloud Registration
ICCV 2021
Distinct Label Representations for Few-Shot Text Classification
ACL 2021
Distributed Nyström Kernel Learning with Communications
ICML 2021
Distributed Principal Component Analysis with Limited Communication
NeurIPS 2021
Distributed Representations of Emotion Categories in Emotion Space
ACL 2021