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)
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
ICCV 2023
Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
NeurIPS 2023
Augmented Proximal Policy Optimization for Safe Reinforcement Learning
AAAI 2023
Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models
JMLR 2023
Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion
SemEval 2023
Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection
AAAI 2023
Augmenting Flight Training with AI to Efficiently Train Pilots
AAAI 2023
Augmenting Language Models with Long-Term Memory
NeurIPS 2023
Augmenting Large Language Model Translators via Translation Memories
ACL 2023
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health
ACL 2023
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
EMNLP 2023
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings
ACML 2023
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
NeurIPS 2023
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
JMLR 2023
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs
COLT 2023
A Unified Approach to Count-Based Weakly Supervised Learning
NeurIPS 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
NeurIPS 2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
ICCV 2023
A Unified Framework for Emotion Identification and Generation in Dialogues
EACL 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
JMLR 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning
NeurIPS 2023
A Unified Generative Approach to Product Attribute-Value Identification
ACL 2023
A Unified Theory of Diversity in Ensemble Learning
JMLR 2023
A Universal Discriminator for Zero-Shot Generalization
ACL 2023
A Universal Unbiased Method for Classification from Aggregate Observations
ICML 2023