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)
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
AISTATS 2022
Reinforcement Learning with Large Action Spaces for Neural Machine Translation
COLING 2022
Reinforcement Learning with Stochastic Reward Machines
AAAI 2022
Rejection sampling from shape-constrained distributions in sublinear time
AISTATS 2022
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
ICLR 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
NeurIPS 2022
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
ACL 2022
RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning
EMNLP 2022
Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric
ACL 2022
Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification
AAAI 2022
Reliable Adversarial Distillation with Unreliable Teachers
ICLR 2022
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
AAAI 2022
Reliable Propagation-Correction Modulation for Video Object Segmentation
AAAI 2022
Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance
CVPR 2022
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
ICLR 2022
Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer
CVPR 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
NeurIPS 2022
REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos
AAAI 2022
Removing Batch Normalization Boosts Adversarial Training
ICML 2022
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence
NeurIPS 2022
Repairing Neural Networks by Leaving the Right Past Behind
NeurIPS 2022
Replicability under Near-Perfect Conditions – A Case-Study from Automatic Summarization
ACL 2022
Rep-Net: Efficient On-Device Learning via Feature Reprogramming
CVPR 2022
Repo4QA: Answering Coding Questions via Dense Retrieval on GitHub Repositories
COLING 2022
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
IJCAI 2022