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
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'10
'15
'20
'25
Papers (including subtopics)
Learning to Learn in Interactive Constraint Acquisition
AAAI 2024
Learning to Make Adherence-aware Advice
ICLR 2024
Learning to Manipulate Artistic Images
AAAI 2024
Learning to Model the World With Language
ICML 2024
Learning to Navigate Efficiently and Precisely in Real Environments
CVPR 2024
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning
AAAI 2024
Learning to Paraphrase for Alignment with LLM Preference
EMNLP 2024
Learning to Pivot as a Smart Expert
AAAI 2024
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
EMNLP 2024
Learning to Predict Activity Progress by Self-Supervised Video Alignment
CVPR 2024
Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
ICML 2024
Learning to Price Homogeneous Data
NeurIPS 2024
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
AAAI 2024
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
UAI 2024
Learning to Rank in Generative Retrieval
AAAI 2024
Learning to Rank Patches for Unbiased Image Redundancy Reduction
CVPR 2024
Learning To Recognize Occluded and Small Objects With Partial Inputs
WACV 2024
Learning to Refine with Fine-Grained Natural Language Feedback
EMNLP 2024
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
ICLR 2024
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval
CVPR 2024
Learning to Retrieve Iteratively for In-Context Learning
EMNLP 2024
Learning to Reweight for Generalizable Graph Neural Network
AAAI 2024
Learning to Route Among Specialized Experts for Zero-Shot Generalization
ICML 2024
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
EMNLP 2024
Learning to Segment Referred Objects from Narrated Egocentric Videos
CVPR 2024