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)
Locality Sensitive Sparse Encoding for Learning World Models Online
ICLR 2024
Localization and Manipulation of Immoral Visual Cues for Safe Text-to-Image Generation
WACV 2024
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
CVPR 2024
Localized Adaptive Risk Control
NeurIPS 2024
Localized Zeroth-Order Prompt Optimization
NeurIPS 2024
Localizing Memorization in SSL Vision Encoders
NeurIPS 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
NeurIPS 2024
Locally Adaptive Neural 3D Morphable Models
CVPR 2024
Locally Differentially Private In-Context Learning
COLING 2024
Locally Measuring Cross-lingual Lexical Alignment: A Domain and Word Level Perspective
EMNLP 2024
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
NeurIPS 2024
Location-Aware Self-Supervised Transformers for Semantic Segmentation
WACV 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
NeurIPS 2024
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning
JMLR 2024
Logging Keystrokes in Writing by English Learners
COLING 2024
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
EMNLP 2024
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
NeurIPS 2024
LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations
EMNLP 2024
LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP
ACL 2024
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
AAAI 2024
Long-Context Language Modeling with Parallel Context Encoding
ACL 2024
LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation
COLING 2024
LongForm: Effective Instruction Tuning with Reverse Instructions
EMNLP 2024
Long-form factuality in large language models
NeurIPS 2024
Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
NeurIPS 2024