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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'20
'25
Papers (including subtopics)
Incomplete Multi-modal Brain Tumor Segmentation via Learnable Sorting State Space Model
CVPR 2025
Incomplete Multi-view Clustering via Diffusion Contrastive Generation
AAAI 2025
Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal
AAAI 2025
Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding
CVPR 2025
Inconsistency-Based Federated Active Learning
IJCAI 2025
In-context Continual Learning Assisted by an External Continual Learner
COLING 2025
In-Context Iterative Policy Improvement for Dynamic Manipulation
CoRL 2025
In-Context Learning (and Unlearning) of Length Biases
NAACL 2025
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties
EMNLP 2025
In-context Learning Demonstration Generation with Text Distillation
IJCAI 2025
In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning
ACL 2025
In-Context Learning on a Budget: A Case Study in Token Classification
NAACL 2025
In-Context Learning with Long-Context Models: An In-Depth Exploration
NAACL 2025
In-Context Meta LoRA Generation
IJCAI 2025
In-Context Policy Adaptation via Cross-Domain Skill Diffusion
AAAI 2025
In-context Prompt-augmented Micro-video Popularity Prediction
AAAI 2025
In-context Time Series Predictor
ICLR 2025
Incorporating Dense Knowledge Alignment into Unified Multimodal Representation Models
CVPR 2025
Incorporating Review-missing Interactions for Generative Explainable Recommendation
COLING 2025
Incorporating Task Progress Knowledge for Subgoal Generation in Robotic Manipulation through Image Edits
WACV 2025
Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition
AAAI 2025
Increasing the Generalizability of Similarity-Based Essay Scoring Through Cross-Prompt Training
ACL 2025
Incremental Nyström-based Multiple Kernel Clustering
AAAI 2025
Incremental Object Keypoint Learning
CVPR 2025
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
AISTATS 2025