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
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'20
'25
Papers (including subtopics)
Distributed Differential Privacy in Multi-Armed Bandits
ICLR 2023
Distributed Linear Bandits under Communication Constraints
ICML 2023
Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data
JMLR 2023
Distributed Personalized Empirical Risk Minimization
NeurIPS 2023
Distributed Projection-Free Online Learning for Smooth and Convex Losses
AAAI 2023
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
NeurIPS 2023
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training
NeurIPS 2023
Distributionally Robust Policy Gradient for Offline Contextual Bandits
AISTATS 2023
Distributional Meta-Gradient Reinforcement Learning
ICLR 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees
ICML 2023
Distribution-Free Statistical Dispersion Control for Societal Applications
NeurIPS 2023
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions
COLT 2023
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images
ICCV 2023
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning
EMNLP 2023
DisWOT: Student Architecture Search for Distillation WithOut Training
CVPR 2023
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
ACL 2023
DivClust: Controlling Diversity in Deep Clustering
CVPR 2023
Divergence-Based Domain Transferability for Zero-Shot Classification
EACL 2023
Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement
CVPR 2023
Diverse Cotraining Makes Strong Semi-Supervised Segmentor
ICCV 2023
Diverse Demonstrations Improve In-context Compositional Generalization
ACL 2023
Diverse Feature Mapping and Fusion via Multitask Learning for Multilingual Speech Emotion Recognition
Interspeech 2023
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking
ACL 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
NeurIPS 2023
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
ICLR 2023