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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'10
'15
'20
'25
Papers (including subtopics)
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes
AISTATS 2024
Neural Model Checking
NeurIPS 2024
Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
CVPR 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
AAAI 2024
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
NeurIPS 2024
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
CVPR 2024
Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
NeurIPS 2024
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
NeurIPS 2024
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer
WACV 2024
Neuroevolution of a Multi-Generator GAN (Student Abstract)
AAAI 2024
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
ICLR 2024
Neuromorphic Event Signal-Driven Network for Video De-raining
AAAI 2024
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation
EMNLP 2024
Neuro-Symbolic Data Generation for Math Reasoning
NeurIPS 2024
NeuroSymbolic LLM for Mathematical Reasoning and Software Engineering
IJCAI 2024
New Intent Discovery with Attracting and Dispersing Prototype
COLING 2024
News Deja Vu: Connecting Past and Present with Semantic Search
NAACL 2024
News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring
EMNLP 2024
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
NeurIPS 2024
NExT: Teaching Large Language Models to Reason about Code Execution
ICML 2024
Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation
EACL 2024
NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning
CVPR 2024
NICE: To Optimize In-Context Examples or Not?
ACL 2024
NightCC: Nighttime Color Constancy via Adaptive Channel Masking
CVPR 2024
NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction
AAAI 2024