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)
Learning Performance-Improving Code Edits
ICLR 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees
AAAI 2024
Learning Performance-oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation
CoRL 2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
AAAI 2024
Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation
NeurIPS 2024
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing
EMNLP 2024
Learning Populations of Preferences via Pairwise Comparison Queries
AISTATS 2024
Learning predictable and robust neural representations by straightening image sequences
NeurIPS 2024
Learning Pronunciation from Other Accents via Pronunciation Knowledge Transfer
Interspeech 2024
Learning Quality Labels for Robust Image Classification
WACV 2024
Learning Real-World Image De-weathering with Imperfect Supervision
AAAI 2024
Learning Regularized Graphon Mean-Field Games with Unknown Graphons
JMLR 2024
Learning Representation of Therapist Empathy in Counseling Conversation Using Siamese Hierarchical Attention Network
Interspeech 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning
AAAI 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
IJCAI 2024
Learning Safe Action Models with Partial Observability
AAAI 2024
Learning Safety Constraints from Demonstrations with Unknown Rewards
AISTATS 2024
Learning Saliency From Fixations
WACV 2024
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform
CVPR 2024
Learning Sparse Codes with Entropy-Based ELBOs
AISTATS 2024
Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos
CVPR 2024
Learning Spatially-Aware Language and Audio Embeddings
NeurIPS 2024
Learning Spatial Similarity Distribution for Few-shot Object Counting
IJCAI 2024
Learning Staged Trees from Incomplete Data
PGM 2024
Learning Structure-Aware Representations of Dependent Types
NeurIPS 2024