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)
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
ICML 2022
Open-Set Text Recognition via Character-Context Decoupling
CVPR 2022
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology
NeurIPS 2022
OpenTAL: Towards Open Set Temporal Action Localization
CVPR 2022
Open-Topic False Information Detection on Social Networks with Contrastive Adversarial Learning
EMNLP 2022
Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification
AAAI 2022
Open Vocabulary Extreme Classification Using Generative Models
ACL 2022
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
CVPR 2022
Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation
CVPR 2022
Open World Classification with Adaptive Negative Samples
EMNLP 2022
Open-World Semi-Supervised Learning
ICLR 2022
Operative dimensions in unconstrained connectivity of recurrent neural networks
NeurIPS 2022
Operator Splitting Value Iteration
NeurIPS 2022
OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models
ACL 2022
Opinion Summarization by Weak-Supervision from Mix-structured Data
EMNLP 2022
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
ICML 2022
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
COLT 2022
Optimal Clustering with Noisy Queries via Multi-Armed Bandit
ICML 2022
Optimal Dynamic Regret in LQR Control
NeurIPS 2022
Optimal Estimation of Policy Gradient via Double Fitted Iteration
ICML 2022
Optimally Controllable Perceptual Lossy Compression
ICML 2022
(Optimal) Online Bipartite Matching with Degree Information
NeurIPS 2022
Optimal Positive Generation via Latent Transformation for Contrastive Learning
NeurIPS 2022
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits
AISTATS 2022
Optimal Representations for Covariate Shift
ICLR 2022