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)
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
AAAI 2025
Towards Better Value Principles for Large Language Model Alignment: A Systematic Evaluation and Enhancement
ACL 2025
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting
COLING 2025
Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract)
AAAI 2025
Towards Calibrated Deep Clustering Network
ICLR 2025
Towards compact and efficient Slovak summarization models
ACL 2025
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
IJCAI 2025
Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters
CVPR 2025
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
ACL 2025
Towards Continual Universal Segmentation
CVPR 2025
Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
ICLR 2025
Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning
CVPR 2025
Towards Cost Sensitive Decision Making
AISTATS 2025
Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models
NAACL 2025
Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models
ICCV 2025
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
IJCAI 2025
Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges
COLING 2025
Towards Debiased Generalized Category Discovery
IJCAI 2025
Towards Effective and Efficient Continual Pre-training of Large Language Models
ACL 2025
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients
CVPR 2025
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
AAAI 2025
Towards Efficient Foundation Model for Zero-shot Amodal Segmentation
CVPR 2025
Towards Efficient General Feature Prediction in Masked Skeleton Modeling
ICCV 2025
Towards Evaluation of Language Models with Skill Dimensions: A Case Study on Narrative Question Answering
EMNLP 2025
Towards Fairness Assessment of Dutch Hate Speech Detection
ACL 2025