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)
Meta Label Correction for Noisy Label Learning
AAAI 2021
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories
ACL 2021
Meta-Learning for Few-Shot Named Entity Recognition
ACL 2021
Meta-Learning for Relative Density-Ratio Estimation
NeurIPS 2021
Meta-Learning Sparse Implicit Neural Representations
NeurIPS 2021
Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification
ICCV 2021
Metaphor Generation with Conceptual Mappings
ACL 2021
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing
CVPR 2021
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
JMLR 2021
Metric Learning Based Feature Representation with Gated Fusion Model for Speech Emotion Recognition
Interspeech 2021
Metric Learning for comparison of HMMs using Graph Neural Networks
ACML 2021
MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment
Interspeech 2021
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics
CVPR 2021
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
IJCAI 2021
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
ICLR 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes
NeurIPS 2021
Microphone Array Generalization for Multichannel Narrowband Deep Speech Enhancement
Interspeech 2021
MIDAS: A Dialog Act Annotation Scheme for Open Domain HumanMachine Spoken Conversations
EACL 2021
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?
EACL 2021
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization
AAAI 2021
MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion
SemEval 2021
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
NeurIPS 2021
Minimax Estimation of Laplacian Constrained Precision Matrices
AISTATS 2021
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs
AISTATS 2021
Minimizing Annotation Effort via Max-Volume Spectral Sampling
EMNLP 2021