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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Papers (including subtopics)
Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling
AAAI 2025
Compositional Caching for Training-free Open-vocabulary Attribute Detection
CVPR 2025
Compositional Entailment Learning for Hyperbolic Vision-Language Models
ICLR 2025
Compositionality and Event Retrieval in Complement Coercion: A Study of Language Models in a Low-resource Setting
CoNLL 2025
Compositional Targeted Multi-Label Universal Perturbations
CVPR 2025
Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages
EMNLP 2025
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning
AAAI 2025
Computational Blueprints: Generating Isomorphic Mathematics Problems with Large Language Models
EMNLP 2025
Computing Game Symmetries and Equilibria That Respect Them
AAAI 2025
CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution
ICLR 2025
Concentration of Cumulative Reward in Markov Decision Processes
JMLR 2025
Concept-Based RAG Models: A High-Accuracy Fact Retrieval Approach
COLING 2025
Concept-Based Unsupervised Domain Adaptation
ICML 2025
Concept Forgetting via Label Annealing
UAI 2025
ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation
CVPR 2025
Concept Matching with Agent for Out-of-Distribution Detection
AAAI 2025
Concept-pedia: a Wide-coverage Semantically-annotated Multimodal Dataset
EMNLP 2025
Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction
NAACL 2025
Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing
ICLR 2025
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)
AAAI 2025
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract)
AAAI 2025
Conceptual Diagnostics for Knowledge Graphs and Large Language Models
ACL 2025
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
EMNLP 2025
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalizatio
WACV 2025
Conditional Average Treatment Effect Estimation Under Hidden Confounders
UAI 2025