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)
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning
COLT 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
AISTATS 2020
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise
COLT 2020
Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards
NeurIPS 2020
FiNLP at FinCausal 2020 Task 1: Mixture of BERTs for Causal Sentence Identification in Financial Texts
COLING 2020
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
NeurIPS 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
CoRL 2020
Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint
L4DC 2020
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
AAAI 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
NeurIPS 2020
Flexible distribution-free conditional predictive bands using density estimators
AISTATS 2020
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching
CVPR 2020
Flow-based Intrinsic Curiosity Module
IJCAI 2020
Flow Contrastive Estimation of Energy-Based Models
CVPR 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
CVPR 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
CVPR 2020
Focus of Attention Improves Information Transfer in Visual Features
NeurIPS 2020
Food and Liquid Sensing in Practical Environments using RFIDs
NSDI 2020
Foolproof Cooperative Learning
ACML 2020
Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task
IJCAI 2020
Foreigner-directed speech is simpler than native-directed: Evidence from social media
EMNLP 2020
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
NeurIPS 2020
Forgetting to Learn Logic Programs
AAAI 2020
Form2Seq : A Framework for Higher-Order Form Structure Extraction
EMNLP 2020
Fortifying Toxic Speech Detectors Against Veiled Toxicity
EMNLP 2020