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 Select Views for Efficient Multi-View Understanding
CVPR 2024
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
NeurIPS 2024
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models
AISTATS 2024
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
AAAI 2024
Learning to Transform Dynamically for Better Adversarial Transferability
CVPR 2024
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
AAAI 2024
Learning Transferable Features for Implicit Neural Representations
NeurIPS 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection
CVPR 2024
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining
WACV 2024
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
IJCAI 2024
Learning Uncertainty-Aware Temporally-Extended Actions
AAAI 2024
Learning Versatile Skills with Curriculum Masking
NeurIPS 2024
Learning Vision from Models Rivals Learning Vision from Data
CVPR 2024
Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information
ECCV 2024
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
ICML 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection
ICLR 2024
Learning with Noisy Labels Using Hyperspherical Margin Weighting
AAAI 2024
Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
CVPR 2024
Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency
ICML 2024
Learning with Structural Labels for Learning with Noisy Labels
CVPR 2024
Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
CVPR 2024
Learning World Models for Unconstrained Goal Navigation
NeurIPS 2024
Learn it or Leave it: Module Composition and Pruning for Continual Learning
ACL 2024
Learn more, but bother less: parameter efficient continual learning
NeurIPS 2024
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
ACL 2024