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)
Case-Based Decision-Theoretic Decoding with Quality Memories
EMNLP 2025
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
AAAI 2025
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling
NAACL 2025
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
AAAI 2025
CATALOG: A Camera Trap Language-Guided Contrastive Learning Model
WACV 2025
Catastrophic Failure of LLM Unlearning via Quantization
ICLR 2025
CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models
ICML 2025
CATE Estimation With Potential Outcome Imputation From Local Regression
UAI 2025
Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification
IJCAI 2025
Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss
IJCAI 2025
CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems
EMNLP 2025
Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis
AAAI 2025
Cauchy-Schwarz Regularizers
ICLR 2025
Causal Composition Diffusion Model for Closed-loop Traffic Generation
CVPR 2025
Causal Denoising Prototypical Network for Few-Shot Multi-label Aspect Category Detection
ACL 2025
Causal Discovery by Interventions via Integer Programming
AAAI 2025
Causal Discovery-Driven Change Point Detection in Time Series
AISTATS 2025
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
UAI 2025
Causal discovery in mixed additive noise models
AISTATS 2025
Causal Discovery on Dependent Binary Data
AISTATS 2025
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning
ICCV 2025
Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation
UAI 2025
Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis
ICCV 2025
Causal Graph based Event Reasoning using Semantic Relation Experts
ACL 2025
Causal Inference amid Missingness-Specific Independences and Mechanism Shifts
UAI 2025