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)
Occlusion Aware Unsupervised Learning of Optical Flow
CVPR 2018
On Adversarial Examples for Character-Level Neural Machine Translation
COLING 2018
One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning
IJCAI 2018
One-Shot Unsupervised Cross Domain Translation
NeurIPS 2018
On Fair Price Discrimination in Multi-Unit Markets
IJCAI 2018
On gradient regularizers for MMD GANs
NeurIPS 2018
On Learning Intrinsic Rewards for Policy Gradient Methods
NeurIPS 2018
On Learning to Identify Genders from Raw Speech Signal Using CNNs
Interspeech 2018
Online Adaptive Methods, Universality and Acceleration
NeurIPS 2018
Online Boosting Algorithms for Multi-label Ranking
AISTATS 2018
Online convex optimization for cumulative constraints
NeurIPS 2018
Online Heterogeneous Transfer Metric Learning
IJCAI 2018
Online Improper Learning with an Approximation Oracle
NeurIPS 2018
Online Incremental Learning for Speaker-Adaptive Language Models
Interspeech 2018
Online Kernel Selection via Incremental Sketched Kernel Alignment
IJCAI 2018
Online Learning of Quantum States
NeurIPS 2018
Online Learning Rate Adaptation with Hypergradient Descent
ICLR 2018
Online Learning with Abstention
ICML 2018
Online Linear Quadratic Control
ICML 2018
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations
IJCAI 2018
Online Reciprocal Recommendation with Theoretical Performance Guarantees
NeurIPS 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries
NeurIPS 2018
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
NeurIPS 2018
On Oracle-Efficient PAC RL with Rich Observations
NeurIPS 2018
On preserving non-discrimination when combining expert advice
NeurIPS 2018