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)
Experimental Design for Regret Minimization in Linear Bandits
AISTATS 2021
Expert advice problem with noisy low rank loss
ACML 2021
Explainable Deep One-Class Classification
ICLR 2021
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
ACL 2021
Explainable Quality Estimation: CUNI Eval4NLP Submission
EMNLP 2021
ExplainaBoard: An Explainable Leaderboard for NLP
ACL 2021
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball
CVPR 2021
Explaining fast improvement in online imitation learning
UAI 2021
Explaining Self-Supervised Image Representations with Visual Probing
IJCAI 2021
Explaining Time Series Predictions with Dynamic Masks
ICML 2021
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability
AAAI 2021
Explanations for Monotonic Classifiers.
ICML 2021
Explanations for Occluded Images
ICCV 2021
Explicable Reward Design for Reinforcement Learning Agents
NeurIPS 2021
Explicit pairwise factorized graph neural network for semi-supervised node classification
UAI 2021
Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation
AAAI 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks
NeurIPS 2021
Exploiting Behavioral Consistence for Universal User Representation
AAAI 2021
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference
EACL 2021
Exploiting Curriculum Learning in Unsupervised Neural Machine Translation
EMNLP 2021
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
AAAI 2021
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
ACL 2021
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes
ICCV 2021
Exploiting Opponents Under Utility Constraints in Sequential Games
NeurIPS 2021
Exploiting Reasoning Chains for Multi-hop Science Question Answering
EMNLP 2021