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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'20
'25
Papers (including subtopics)
Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification
ICCV 2025
Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets
AAAI 2025
Towards Robust Incremental Learning Under Ambiguous Supervision
IJCAI 2025
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
AAAI 2025
Towards Robust Mathematical Reasoning
EMNLP 2025
Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
ICLR 2025
Towards Robust Sentiment Analysis of Temporally-Sensitive Policy-Related Online Text
ACL 2025
Towards Robust Training via Gradient-Diversified Backpropagation
WACV 2025
Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution
ACL 2025
Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation
AAAI 2025
(Towards) Scalable Reliable Automated Evaluation with Large Language Models
ACL 2025
Towards Scalable Topological Regularizers
ICLR 2025
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
ICLR 2025
Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline
AAAI 2025
Towards Smart Point-and-Shoot Photography
CVPR 2025
Towards Source-Free Machine Unlearning
CVPR 2025
Towards Statistical Factuality Guarantee for Large Vision-Language Models
EMNLP 2025
Towards Style Alignment in Cross-Cultural Translation
ACL 2025
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
ACL 2025
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
CVPR 2025
Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations
WACV 2025
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
AAAI 2025
Towards Unbiased Learning in Semi-Supervised Semantic Segmentation
ICLR 2025
Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
ICML 2025
Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons
COLING 2025