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
'5
'10
'15
'20
'25
Papers (including subtopics)
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation
ACL 2020
Knowledge-Enriched Visual Storytelling
AAAI 2020
Knowledge Graph and Deep Neural Network for Extractive Text Summarization by Utilizing Triples
COLING 2020
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
ACL 2020
Knowledge Graph Transfer Network for Few-Shot Recognition
AAAI 2020
Knowledge Transfer for Learning Markov Equivalence Classes
PGM 2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
NeurIPS 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
IJCAI 2020
KU-CST at the SIGMORPHON 2020 Task 2 on Unsupervised Morphological Paradigm Completion
ACL 2020
Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-TaskLearning for Offensive Language Detection
SemEval 2020
Label Decoupling Framework for Salient Object Detection
CVPR 2020
Label Distribution for Learning with Noisy Labels
IJCAI 2020
Label-Efficient Training for Next Response Selection
EMNLP 2020
Label Enhancement for Label Distribution Learning via Prior Knowledge
IJCAI 2020
Label Enhancement with Sample Correlations via Low-Rank Representation
AAAI 2020
Label Error Correction and Generation through Label Relationships
AAAI 2020
Labelling unlabelled videos from scratch with multi-modal self-supervision
NeurIPS 2020
Label Noise in Context
ACL 2020
Label-Noise Robust Domain Adaptation
ICML 2020
Label Propagation-Based Semi-Supervised Learning for Hate Speech Classification
EMNLP 2020
Label Representations in Modeling Classification as Text Generation
AACL 2020
Langsmith: An Interactive Academic Text Revision System
EMNLP 2020
Language and Visual Entity Relationship Graph for Agent Navigation
NeurIPS 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration
NeurIPS 2020
Language GANs Falling Short
ICLR 2020