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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'20
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Papers (including subtopics)
Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations
IJCAI 2019
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks
ICCV 2019
Unsupervised Image Captioning
CVPR 2019
Unsupervised Image Matching and Object Discovery as Optimization
CVPR 2019
Unsupervised Induction of Ukrainian Morphological Paradigms for the New Lexicon: Extending Coverage for Named Entities and Neologisms using Inflection Tables and Unannotated Corpora
ACL 2019
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
IJCAI 2019
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses
ACL 2019
Unsupervised Joint Training of Bilingual Word Embeddings
ACL 2019
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
NeurIPS 2019
Unsupervised Label Noise Modeling and Loss Correction
ICML 2019
Unsupervised Learning Helps Supervised Neural Word Segmentation
AAAI 2019
Unsupervised Learning of Action Classes With Continuous Temporal Embedding
CVPR 2019
Unsupervised Learning of Consensus Maximization for 3D Vision Problems
CVPR 2019
Unsupervised Learning of Dense Shape Correspondence
CVPR 2019
Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring
ACL 2019
Unsupervised Learning of Landmarks by Descriptor Vector Exchange
ICCV 2019
Unsupervised Learning of Object Keypoints for Perception and Control
NeurIPS 2019
Unsupervised learning of object structure and dynamics from videos
NeurIPS 2019
Unsupervised Learning of PCFGs with Normalizing Flow
ACL 2019
Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity
IJCAI 2019
Unsupervised Learning of the Set of Local Maxima
ICLR 2019
Unsupervised Learning via Meta-Learning
ICLR 2019
Unsupervised Learning with Contrastive Latent Variable Models
AAAI 2019
Unsupervised Lesion Detection via Image Restoration with a Normative Prior
MIDL 2019
Unsupervised Low-Rank Representations for Speech Emotion Recognition
Interspeech 2019