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)
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
NeurIPS 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms
ICML 2019
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
ACL 2019
DiaHClust: an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change
ACL 2019
Dialog Intent Induction with Deep Multi-View Clustering
EMNLP 2019
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
AAAI 2019
Diffeomorphic Temporal Alignment Nets
NeurIPS 2019
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection
EMNLP 2019
Differentiable Game Mechanics
JMLR 2019
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
ICLR 2019
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
NeurIPS 2019
Differentially Private Distributed Data Summarization under Covariate Shift
NeurIPS 2019
Differentially Private Markov Chain Monte Carlo
NeurIPS 2019
Differentiated Distribution Recovery for Neural Text Generation
AAAI 2019
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
ICLR 2019
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
ICML 2019
Direction-Aware Speaker Beam for Multi-Channel Speaker Extraction
Interspeech 2019
Direct Modelling of Speech Emotion from Raw Speech
Interspeech 2019
Discovering Temporal Patterns from Insurance Interaction Data
AAAI 2019
Discovering the Functions of Language in Online Forums
EMNLP 2019
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning
CVPR 2019
Discovery of Useful Questions as Auxiliary Tasks
NeurIPS 2019
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design
NeurIPS 2019
Discriminative and Correlative Partial Multi-Label Learning
IJCAI 2019
Discriminative Feature Learning for Unsupervised Video Summarization
AAAI 2019