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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Papers (including subtopics)
Learnware Specification via Label-Aware Neural Embedding
AAAI 2025
LEAVES: Learning Views for Time-Series Biobehavioral Data in Contrastive Learning
MLHC 2025
Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning
EMNLP 2025
LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets
AAAI 2025
Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Data
EMNLP 2025
Lemmatisation & Morphological Analysis of Unedited Greek: Do Simple Tasks Need Complex Solutions?
ACL 2025
Lemmatizing Dialectal Arabic with Sequence-to-Sequence Models
EMNLP 2025
LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World
ACL 2025
Length Controlled Generation for Black-box LLMs
ACL 2025
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
CVPR 2025
Less Attention is More: Prompt Transformer for Generalized Category Discovery
CVPR 2025
Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts
ACL 2025
Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning
AAAI 2025
Less is More: Efficient Model Merging with Binary Task Switch
CVPR 2025
Less is More: Empowering GUI Agent with Context-Aware Simplification
ICCV 2025
Lessons Learned from the URGENT 2024 Speech Enhancement Challenge
Interspeech 2025
Lessons Learned in Assessing Student Reflections with LLMs
ACL 2025
Less Static, More Private: Towards Transferable Privacy-Preserving Action Recognition by Generative Decoupled Learning
ICCV 2025
Let Modalities Teach Each Other: Modal-Collaborative Knowledge Extraction and Fusion for Multimodal Knowledge Graph Completion
NAACL 2025
Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples
CVPR 2025
LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization
EMNLP 2025
Let’s Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models’ Understanding of Sports
EMNLP 2025
Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation
ACL 2025
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
EMNLP 2025
Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment
NAACL 2025