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)
On the convergence of no-regret learning in selfish routing
ICML 2014
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
NeurIPS 2014
Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers
COLT 2014
Open Problem: Efficient Online Sparse Regression
COLT 2014
Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem
COLT 2014
Open Problem: Online Local Learning
COLT 2014
Open Problem: Shifting Experts on Easy Data
COLT 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors
AISTATS 2014
Optimal Neural Codes for Control and Estimation
NeurIPS 2014
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing
ICML 2014
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
NeurIPS 2014
Optimal Teaching for Limited-Capacity Human Learners
NeurIPS 2014
Optimistic Planning in Markov Decision Processes Using a Generative Model
NeurIPS 2014
Optimizing Average Precision using Weakly Supervised Data
CVPR 2014
Optimizing Energy Production Using Policy Search and Predictive State Representations
NeurIPS 2014
Optimizing F-Measures by Cost-Sensitive Classification
NeurIPS 2014
Orbit Regularization
NeurIPS 2014
PAC-Bayesian Theory for Transductive Learning
AISTATS 2014
Parallel Feature Selection Inspired by Group Testing
NeurIPS 2014
Parallel Sampling of HDPs using Sub-Cluster Splits
NeurIPS 2014
Parsing Occluded People
CVPR 2014
Patch-based Evaluation of Image Segmentation
CVPR 2014
Patch to the Future: Unsupervised Visual Prediction
CVPR 2014
PCFG Induction for Unsupervised Parsing and Language Modelling
EMNLP 2014
Pre- and Post-Contact Policy Decomposition for Planar Contact Manipulation Under Uncertainty
RSS 2014