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)
Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning
IJCAI 2021
Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack
CVPR 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation
NeurIPS 2021
Understanding the World Through Action
CoRL 2021
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
ICML 2021
Unexpected Effects of Online no-Substitution k-means Clustering
ALT 2021
UniDoc: Unified Pretraining Framework for Document Understanding
NeurIPS 2021
Unification-based Reconstruction of Multi-hop Explanations for Science Questions
EACL 2021
Unified Robust Semi-Supervised Variational Autoencoder
ICML 2021
Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring
AAAI 2021
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation
NeurIPS 2021
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
NeurIPS 2021
Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract)
IJCAI 2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
IJCAI 2021
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
ACL 2021
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
ICML 2021
UniteD-SRL: A Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual Semantic Role Labeling
EMNLP 2021
UniT: Multimodal Multitask Learning With a Unified Transformer
ICCV 2021
UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation
CVPR 2021
Universal Adversarial Attacks with Natural Triggers for Text Classification
NAACL 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective
AAAI 2021
Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains
ICCV 2021
Universal Off-Policy Evaluation
NeurIPS 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
ICCV 2021
Universal Representation Learning From Multiple Domains for Few-Shot Classification
ICCV 2021