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
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8
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26
18
20
135
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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)
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
ICML 2021
Optimal Algorithms for Range Searching over Multi-Armed Bandits
IJCAI 2021
Optimal Best-Arm Identification Methods for Tail-Risk Measures
NeurIPS 2021
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
COLT 2021
Optimal Dynamic Regret in Exp-Concave Online Learning
COLT 2021
Optimal Off-Policy Evaluation from Multiple Logging Policies
ICML 2021
Optimal Policies Tend To Seek Power
NeurIPS 2021
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
ICML 2021
Optimal Streaming Algorithms for Multi-Armed Bandits
ICML 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings
NeurIPS 2021
Optimizing an Automatic Creaky Voice Detection Method for Australian English Speaking Females
Interspeech 2021
Optimizing Deeper Transformers on Small Datasets
ACL 2021
Optimizing Percentile Criterion using Robust MDPs
AISTATS 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning
NeurIPS 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
ICCV 2021
ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification
Interspeech 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning
CVPR 2021
Orthographic vs. Semantic Representations for Unsupervised Morphological Paradigm Clustering
ACL 2021
OSCAR-Net: Object-Centric Scene Graph Attention for Image Attribution
ICCV 2021
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations
CVPR 2021
Our Learned Lessons from Cross-Lingual Speaker Verification: The CRMI-DKU System Description for the Short-Duration Speaker Verification Challenge 2021
Interspeech 2021
Outlier Impact Characterization for Time Series Data
AAAI 2021
Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition
COLT 2021
Outlier-Robust Optimal Transport
ICML 2021
Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make?
Interspeech 2021