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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'25
Papers (including subtopics)
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
ICCV 2025
Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition
ACL 2025
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
ICLR 2025
Large-Scale School Mapping Using Weakly Supervised Deep Learning for Universal School Connectivity
AAAI 2025
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator
CVPR 2025
Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection
CVPR 2025
Large (Vision) Language Models are Unsupervised In-Context Learners
ICLR 2025
Lark: Low-Rank Updates After Knowledge Localization for Few-shot Class-Incremental Learning
ICCV 2025
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
ICLR 2025
LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
ICLR 2025
LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization
COLING 2025
Lasso Bandit with Compatibility Condition on Optimal Arm
ICLR 2025
LastingBench: Defend Benchmarks Against Knowledge Leakage
EMNLP 2025
Last-iterate Convergence in Regularized Graphon Mean Field Game
AAAI 2025
Last Iterate Convergence of Incremental Methods as a Model of Forgetting
ICLR 2025
Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality
JMLR 2025
Latent Action Learning Requires Supervision in the Presence of Distractors
ICML 2025
Latent Action Pretraining from Videos
ICLR 2025
Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation
AAAI 2025
Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition
ACL 2025
Latent Expression Generation for Referring Image Segmentation and Grounding
ICCV 2025
LaTexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending
CVPR 2025
LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization
ICCV 2025
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
WACV 2025
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
ICCV 2025