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)
LightRAG: Simple and Fast Retrieval-Augmented Generation
EMNLP 2025
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence
NAACL 2025
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval
AAAI 2025
Light-Weight Hallucination Detection using Contrastive Learning for Conditional Text Generation
ACL 2025
Lightweight LLM Adaptation for Medical Summarisation: Roux-lette at PerAnsSumm Shared Task
NAACL 2025
LILaC: Late Interacting in Layered Component Graph for Open-domain Multimodal Multihop Retrieval
EMNLP 2025
LimaCost: Data Valuation for Instruction Tuning of Large Language Models
EMNLP 2025
LIMICS at ArchEHR-QA 2025: Prompting LLMs Beats Fine-Tuned Embeddings
ACL 2025
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them
AAAI 2025
Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole
NAACL 2025
Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments
ACL 2025
Limited-Resource Adapters Are Regularizers, Not Linguists
ACL 2025
Limit-sure Reachability for Small Memory Policies in POMDPs is NP-complete
UAI 2025
LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
CVPR 2025
LimRank: Less is More for Reasoning-Intensive Information Reranking
EMNLP 2025
Linear Separation Capacity of Self-Supervised Representation Learning
JMLR 2025
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification
AAAI 2025
Linear Submodular Maximization with Bandit Feedback
AISTATS 2025
Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation
EMNLP 2025
Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries
NAACL 2025
LingGym: How Far Are LLMs from Thinking Like Field Linguists?
EMNLP 2025
LinguAIsts@DravidianLangTech 2025: Misogyny Meme Detection using multimodel Approach
NAACL 2025
LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder
EMNLP 2025
Linguistic Alignment Predicts Learning in Small Group Tutoring Sessions
EMNLP 2025
Linguistic and Embedding-Based Profiling of Texts Generated by Humans and Large Language Models
EMNLP 2025