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 Discrete-Time Major-Minor Mean Field Games
AAAI 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
CVPR 2024
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
NeurIPS 2024
Learning Distinguishable Trajectory Representation with Contrastive Loss
NeurIPS 2024
Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains
UAI 2024
Learning diverse causally emergent representations from time series data
NeurIPS 2024
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
JMLR 2024
Learning Dynamic Multi-attribute Interest for Personalized Product Search
EMNLP 2024
Learning dynamic representations of the functional connectome in neurobiological networks
ICLR 2024
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret
AAAI 2024
Learning Equi-angular Representations for Online Continual Learning
CVPR 2024
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
NeurIPS 2024
Learning Fair Division from Bandit Feedback
AISTATS 2024
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data
AAAI 2024
Learning Fair Representations for Recommendation via Information Bottleneck Principle
IJCAI 2024
Learning Formal Mathematics From Intrinsic Motivation
NeurIPS 2024
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
AAAI 2024
Learning from an Infant’s Visual Experience
AAAI 2024
Learning from Back Chunks: Acquiring More Future Knowledge for Streaming ASR Models via Self Distillation
Interspeech 2024
Learning from Crowds with Dual-View K-Nearest Neighbor
UAI 2024
Learning from Failure: Improving Meeting Summarization without Good Samples
AAAI 2024
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
NeurIPS 2024
Learning from Highly Sparse Spatio-temporal Data
NeurIPS 2024
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
AAAI 2024
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
ICLR 2024