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)
Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning
IJCAI 2024
ReFT: Representation Finetuning for Language Models
NeurIPS 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning
AAAI 2024
Regeneration Learning: A Learning Paradigm for Data Generation
AAAI 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
NeurIPS 2024
Regimes of No Gain in Multi-class Active Learning
JMLR 2024
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
AAAI 2024
RegionGPT: Towards Region Understanding Vision Language Model
CVPR 2024
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
CVPR 2024
Registration Quality Evaluation Metric with Self-Supervised Siamese Networks
MIDL 2024
Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional Relations
IJCAI 2024
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
AAAI 2024
Regret Analysis of Repeated Delegated Choice
AAAI 2024
Regroup Median Loss for Combating Label Noise
AAAI 2024
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
NeurIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
NeurIPS 2024
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
ICML 2024
Rehearsal-Free Modular and Compositional Continual Learning for Language Models
NAACL 2024
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
NeurIPS 2024
Reinforced Cross-Domain Knowledge Distillation on Time Series Data
NeurIPS 2024
Reinforced Multiple Instance Selection for Speaker Attribute Prediction
NAACL 2024
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis
AAAI 2024
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
AAAI 2024
Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs
ACL 2024
Reinforcement learning-driven parametric curve fitting for snake robot gait design
L4DC 2024