Learning Types
56,253 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 (1,983)
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
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions
ACL 2024
Context Consistency between Training and Inference in Simultaneous Machine Translation
ACL 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding
UAI 2024
Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data
MICCAI 2024
Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval
AAAI 2024
Context in Human Action Through Motion Complementarity
WACV 2024
Context is Environment
ICLR 2024
Contextrast: Contextual Contrastive Learning for Semantic Segmentation
CVPR 2024
Context Shapes Emergent Communication about Concepts at Different Levels of Abstraction
COLING 2024
Context Tuning for Retrieval Augmented Generation
EACL 2024
Contextual Active Model Selection
NeurIPS 2024
Contextual Affinity Distillation for Image Anomaly Detection
WACV 2024
Contextual Augmented Global Contrast for Multimodal Intent Recognition
CVPR 2024
Contextual Bandits with Budgeted Information Reveal
AISTATS 2024
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression
JMLR 2024
Contextual Decision-Making with Knapsacks Beyond the Worst Case
NeurIPS 2024
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation
EMNLP 2024
Contextual Linear Optimization with Bandit Feedback
NeurIPS 2024
Contextual Multinomial Logit Bandits with General Value Functions
NeurIPS 2024
Contextual Pandora’s Box
AAAI 2024
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
AAAI 2024
Continual Atlas-Based Segmentation of Prostate MRI
WACV 2024
Continual Audio-Visual Sound Separation
NeurIPS 2024
Continual Compositional Zero-Shot Learning
IJCAI 2024
Continual Contrastive Spoken Language Understanding
ACL 2024