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)
Model-Based Diagnosis with Uncertain Observations
AAAI 2020
Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal
COLT 2020
Model-Based Reinforcement Learning with Value-Targeted Regression
L4DC 2020
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
ICML 2020
Modeling Ambiguity with Many Annotators and Self-Assessments of Annotator Certainty
COLING 2020
Modeling Biological Immunity to Adversarial Examples
CVPR 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
NeurIPS 2020
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction
IJCAI 2020
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection
AAAI 2020
Modeling Event Salience in Narratives via Barthes’ Cardinal Functions
COLING 2020
Modeling Evolution of Message Interaction for Rumor Resolution
COLING 2020
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract)
AAAI 2020
Modeling Label Semantics for Predicting Emotional Reactions
ACL 2020
Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions
COLING 2020
Modeling Morphological Typology for Unsupervised Learning of Language Morphology
ACL 2020
Modeling Protagonist Emotions for Emotion-Aware Storytelling
EMNLP 2020
Modeling Shared responses in Neuroimaging Studies through MultiView ICA
NeurIPS 2020
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives
CoNLL 2020
Modeling the Background for Incremental Learning in Semantic Segmentation
CVPR 2020
Modeling the Music Genre Perception across Language-Bound Cultures
EMNLP 2020
Modeling Word Formation in English–German Neural Machine Translation
ACL 2020
Modelling and Solving Online Optimisation Problems
AAAI 2020
Modelling Diversity of Solutions
AAAI 2020
Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words
AAAI 2020
Model Selection for Production System via Automated Online Experiments
NeurIPS 2020