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)
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
AAAI 2025
Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions
EMNLP 2025
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation
ICCV 2025
Causally Consistent Normalizing Flow
AAAI 2025
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment
AAAI 2025
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
EMNLP 2025
Causal Structure Discovery for Error Diagnostics of Children's ASR
Interspeech 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
IJCAI 2025
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
EMNLP 2025
Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases
IJCAI 2025
CAVE: Controllable Authorship Verification Explanations
NAACL 2025
CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations
ACL 2025
CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment
CVPR 2025
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
EMNLP 2025
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models
ACL 2025
C-CLIP: Multimodal Continual Learning for Vision-Language Model
ICLR 2025
CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs
EMNLP 2025
CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning
ACL 2025
CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning
IJCAI 2025
CDAˆ2: Counterfactual Diffusion Augmentation for Cross-Domain Adaptation in Low-Resource Sentiment Analysis
COLING 2025
CDB: A Unified Framework for Hope Speech Detection Through Counterfactual, Desire and Belief
NAACL 2025
CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identification
AAAI 2025
CDHF at SemEval-2025 Task 9: A Multi-Task Learning Approach for Food Hazard Classification
SemEval 2025
CDI: Copyrighted Data Identification in Diffusion Models
CVPR 2025
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
AAAI 2025