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
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Papers (including subtopics)
PoRank: A Practical Framework for Learning to Rank Policies
IJCAI 2024
PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization
CVPR 2024
Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
CVPR 2024
Poseidon: Efficient Foundation Models for PDEs
NeurIPS 2024
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue
IJCAI 2024
Position Engineering: Boosting Large Language Models through Positional Information Manipulation
EMNLP 2024
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
ICML 2024
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
CVPR 2024
Positivity-free Policy Learning with Observational Data
AISTATS 2024
POSIX: A Prompt Sensitivity Index For Large Language Models
EMNLP 2024
POS Tagging for the Endangered Dagur Language
COLING 2024
Post-Correction of Historical Text Transcripts with Large Language Models: An Exploratory Study
EACL 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
AISTATS 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely?
NeurIPS 2024
Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
NeurIPS 2024
Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract)
AAAI 2024
Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract)
AAAI 2024
Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract)
AAAI 2024
Power Mean Estimation in Stochastic Monte-Carlo Tree Search
UAI 2024
Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic
JMLR 2024
PowerPM: Foundation Model for Power Systems
NeurIPS 2024
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
AAAI 2024
PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion
EMNLP 2024
Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing
AAAI 2024
Practice Makes Perfect: Planning to Learning Skill Parameter Policies
RSS 2024