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)
Hierarchical Multi-label Classification of Text with Capsule Networks
ACL 2019
Hierarchical Optimal Transport for Multimodal Distribution Alignment
NeurIPS 2019
Hierarchical Pooling Structure for Weakly Labeled Sound Event Detection
Interspeech 2019
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
AAAI 2019
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
ICLR 2019
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
NeurIPS 2019
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
ICLR 2019
Hierarchical Text Classification with Reinforced Label Assignment
EMNLP 2019
Hierarchical Transfer Learning for Multi-label Text Classification
ACL 2019
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
NeurIPS 2019
High-Fidelity Image Generation With Fewer Labels
ICML 2019
High-Quality Self-Supervised Deep Image Denoising
NeurIPS 2019
HighRES: Highlight-based Reference-less Evaluation of Summarization
ACL 2019
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition
NAACL 2019
Hilbert-Based Generative Defense for Adversarial Examples
ICCV 2019
Hindsight Credit Assignment
NeurIPS 2019
Historical Text Normalization with Delayed Rewards
ACL 2019
Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation Parsing
CoNLL 2019
HoloGAN: Unsupervised Learning of 3D Representations From Natural Images
ICCV 2019
Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation
CVPR 2019
Horizontal Pyramid Matching for Person Re-Identification
AAAI 2019
How does Disagreement Help Generalization against Label Corruption?
ICML 2019
How Large Are Lions? Inducing Distributions over Quantitative Attributes
ACL 2019
How Many Users Are Enough? Exploring Semi-Supervision and Stylometric Features to Uncover a Russian Troll Farm
EMNLP 2019
How Multilingual is Multilingual BERT?
ACL 2019