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)
LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients
EMNLP 2025
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning
IJCAI 2025
Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation
ICCV 2025
Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment
EMNLP 2025
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge
EMNLP 2025
Layered Insights: Generalizable Analysis of Human Authorial Style by Leveraging All Transformer Layers
EMNLP 2025
LayerLock: Non-collapsing Representation Learning with Progressive Freezing
ICCV 2025
LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context
ACL 2025
Lazarus NLP at SemEval-2025 Task 11: Fine-Tuning Large Language Models for Multi-Label Emotion Classification via Sentence-Label Pairing
SemEval 2025
LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews
ACL 2025
LBC: Language-Based-Classifier for Out-Of-Variable Generalization
NAACL 2025
LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models
EMNLP 2025
LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing
AAAI 2025
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
AISTATS 2025
LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling
ICCV 2025
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
EMNLP 2025
LeanAgent: Lifelong Learning for Formal Theorem Proving
ICLR 2025
Lean-STaR: Learning to Interleave Thinking and Proving
ICLR 2025
Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation
ICCV 2025
Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge
ICCV 2025
Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch
ICCV 2025
Learn and Unlearn: Addressing Misinformation in Multilingual LLMs
EMNLP 2025
Learn Beneficial Noise as Graph Augmentation
ICML 2025
Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments
ICLR 2025
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
ICML 2025