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)
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
ICLR 2019
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
NeurIPS 2019
On the optimality of the Hedge algorithm in the stochastic regime
JMLR 2019
On the Regret Minimization of Nonconvex Online Gradient Ascent for Online PCA
COLT 2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions
ICLR 2019
On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting
MIDL 2019
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation
AAAI 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
NeurIPS 2019
On the Usage of Phonetic Information for Text-Independent Speaker Embedding Extraction
Interspeech 2019
On the Utility of Learning about Humans for Human-AI Coordination
NeurIPS 2019
On the Value of Target Data in Transfer Learning
NeurIPS 2019
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text
EMNLP 2019
On Understanding the Relation between Expert Annotations of Text Readability and Target Reader Comprehension
ACL 2019
On Zero-Shot Recognition of Generic Objects
CVPR 2019
OpenCeres: When Open Information Extraction Meets the Semi-Structured Web
NAACL 2019
Open Domain Event Extraction Using Neural Latent Variable Models
ACL 2019
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts
ACL 2019
Open-ended learning in symmetric zero-sum games
ICML 2019
Open Event Extraction from Online Text using a Generative Adversarial Network
EMNLP 2019
Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning?
COLT 2019
Open Problem: Risk of Ruin in Multiarmed Bandits
COLT 2019
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
EMNLP 2019
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams
ICLR 2019
Optimal Best Markovian Arm Identification with Fixed Confidence
NeurIPS 2019
Optimal Collusion-Free Teaching
ALT 2019