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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Papers (including subtopics)
Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort
ACL 2021
Online Learning of Action Models for PDDL Planning
IJCAI 2021
Online Learning of a Probabilistic and Adaptive Scene Representation
CVPR 2021
Online Learning Of Neural Computations From Sparse Temporal Feedback
NeurIPS 2021
Online Learning with Optimism and Delay
ICML 2021
Online Limited Memory Neural-Linear Bandits with Likelihood Matching
ICML 2021
Online Markov Decision Processes with Aggregate Bandit Feedback
COLT 2021
Online Meta-Learning via Learning with Layer-Distributed Memory
NeurIPS 2021
Online Model Selection for Reinforcement Learning with Function Approximation
AISTATS 2021
Online Multi-Armed Bandits with Adaptive Inference
NeurIPS 2021
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
ICML 2021
Online Posted Pricing with Unknown Time-Discounted Valuations
AAAI 2021
Online probabilistic label trees
AISTATS 2021
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-Identification
ICCV 2021
Online Refinement of Low-Level Feature Based Activation Map for Weakly Supervised Object Localization
ICCV 2021
Online Selective Classification with Limited Feedback
NeurIPS 2021
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
NeurIPS 2021
Online Sparse Reinforcement Learning
AISTATS 2021
Online Variational Filtering and Parameter Learning
NeurIPS 2021
On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization
JMLR 2021
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling
WACV 2021
On Margin-Based Cluster Recovery with Oracle Queries
NeurIPS 2021
On Multi-Armed Bandit Designs for Dose-Finding Trials
JMLR 2021
On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems
AAAI 2021
On Optimal Robustness to Adversarial Corruption in Online Decision Problems
NeurIPS 2021