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)
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds
COLT 2024
Learning Invariant Inter-pixel Correlations for Superpixel Generation
AAAI 2024
Learning Job Title Representation from Job Description Aggregation Network
ACL 2024
Learning Label Hierarchy with Supervised Contrastive Learning
EACL 2024
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification
IJCAI 2024
Learning Latent Partial Matchings with Gumbel-IPF Networks
AISTATS 2024
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
NeurIPS 2024
Learning MDL Logic Programs from Noisy Data
AAAI 2024
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
ICLR 2024
Learning Multi-Agent Communication with Contrastive Learning
ICLR 2024
Learning Multi-Dimensional Human Preference for Text-to-Image Generation
CVPR 2024
Learning Multimodal Contrast with Cross-modal Memory and Reinforced Contrast Recognition
ACL 2024
Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution
AAAI 2024
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing
AAAI 2024
Learning Multi-Object Positional Relationships via Emergent Communication
AAAI 2024
Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding
AAAI 2024
Learning Natural Consistency Representation for Face Forgery Video Detection
ECCV 2024
Learning New Tasks from a Few Examples with Soft-Label Prototypes
ACL 2024
Learning Object State Changes in Videos: An Open-World Perspective
CVPR 2024
Learning Only When It Matters: Cost-Aware Long-Tailed Classification
AAAI 2024
Learning Optimal Advantage from Preferences and Mistaking It for Reward
AAAI 2024
Learning Optimal Contracts: How to Exploit Small Action Spaces
ICLR 2024
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls
JMLR 2024
Learning or Self-aligning? Rethinking Instruction Fine-tuning
ACL 2024
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
ICLR 2024