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)
Interpreting Text Classifiers by Learning Context-sensitive Influence of Words
NAACL 2021
Interventions Recommendation: Professionals’ Observations Analysis in Special Needs Education
EACL 2021
Intraclass clustering: an implicit learning ability that regularizes DNNs
ICLR 2021
Intriguing Properties of Contrastive Losses
NeurIPS 2021
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
AAAI 2021
Intro and Recap Detection for Movies and TV Series
WACV 2021
Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification
Interspeech 2021
Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment Analysis
EACL 2021
Introducing CAD: the Contextual Abuse Dataset
NAACL 2021
Introducing Orthogonal Constraint in Structural Probes
ACL 2021
Introduction to Machine Learning with Robots and Playful Learning
AAAI 2021
Invariant representation learning for treatment effect estimation
UAI 2021
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
ICML 2021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
CVPR 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations
NeurIPS 2021
Inverse-Weighted Survival Games
NeurIPS 2021
Invertible DenseNets with Concatenated LipSwish
NeurIPS 2021
Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion
Interspeech 2021
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds
Interspeech 2021
Investigating the Interplay Between Affective, Phonatory and Motoric Subsystems in Autism Spectrum Disorder Using a Multimodal Dialogue Agent
Interspeech 2021
Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale
Interspeech 2021
Investigating Voice Function Characteristics of Greek Speakers with Hearing Loss Using Automatic Glottal Source Feature Extraction
Interspeech 2021
Investigating vulnerabilities of deep neural policies
UAI 2021
i-Parser: Interactive Parser Development Kit for Natural Language Processing
AAAI 2021
IQDet: Instance-Wise Quality Distribution Sampling for Object Detection
CVPR 2021