Learning Types
56,254 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,984)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Intent-aware Recommendation via Disentangled Graph Contrastive Learning
IJCAI 2023
Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti
EMNLP 2023
Intent Discovery with Frame-guided Semantic Regularization and Augmentation
ACL 2023
IntentQA: Context-aware Video Intent Reasoning
ICCV 2023
Interactive and Explainable Region-Guided Radiology Report Generation
CVPR 2023
Interactive Concept Bottleneck Models
AAAI 2023
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections
ACL 2023
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets
AISTATS 2023
Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves
IJCAI 2023
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
NeurIPS 2023
Interactive Span Recommendation for Biomedical Text
ACL 2023
Interactive Text Generation
EMNLP 2023
Interactive Visual Reasoning under Uncertainty
NeurIPS 2023
Inter-image Contrastive Consistency for Multi-Person Pose Estimation
AAAI 2023
Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER
ACL 2023
Internet Explorer: Targeted Representation Learning on the Open Web
ICML 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
ICML 2023
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
NeurIPS 2023
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning
MIDL 2023
Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
Interspeech 2023
Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge
Interspeech 2023
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning
EMNLP 2023
Interpreting Answers to Yes-No Questions in User-Generated Content
EMNLP 2023
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation
WACV 2023
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages
EMNLP 2023