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)
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
EMNLP 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
AAAI 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
NeurIPS 2024
Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors
AAAI 2024
Phased Consistency Models
NeurIPS 2024
Phased Instruction Fine-Tuning for Large Language Models
ACL 2024
PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design
JMLR 2024
PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness
CVPR 2024
Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion
AAAI 2024
Phonetic and Lexical Discovery of Canine Vocalization
EMNLP 2024
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
CVPR 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
NeurIPS 2024
Physical Property Understanding from Language-Embedded Feature Fields
CVPR 2024
Physics-Constrained Comprehensive Optical Neural Networks
NeurIPS 2024
Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models
L4DC 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems
AAAI 2024
Physics-informed machine learning as a kernel method
COLT 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
NeurIPS 2024
Physics-Informed Representation and Learning: Control and Risk Quantification
AAAI 2024
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
NeurIPS 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks
AAAI 2024
Piecewise-Stationary Bandits with Knapsacks
NeurIPS 2024
PIGEON: Predicting Image Geolocations
CVPR 2024
PILOT: An O(1/K)-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation
ICLR 2024
Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs
CVPR 2024