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)
Improving Neural Story Generation by Targeted Common Sense Grounding
EMNLP 2019
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer
AAAI 2019
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning
AAAI 2019
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization
ICCV 2019
Improving Precision of Grammatical Error Correction with a Cheat Sheet
ACL 2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
ACL 2019
Improving Question Answering with External Knowledge
EMNLP 2019
Improving Robustness of Neural Machine Translation with Multi-task Learning
ACL 2019
Improving Search with Supervised Learning in Trick-Based Card Games
AAAI 2019
Improving Statute Prediction via Mining Correlations between Statutes
ACML 2019
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
IJCAI 2019
Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior
EMNLP 2019
Improving the Robustness of Question Answering Systems to Question Paraphrasing
ACL 2019
Improving Transferability of Adversarial Examples With Input Diversity
CVPR 2019
Improving Unsupervised Subword Modeling via Disentangled Speech Representation Learning and Transformation
Interspeech 2019
Improving Zero-shot Translation with Language-Independent Constraints
ACL 2019
Imputing Missing Events in Continuous-Time Event Streams
ICML 2019
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting
AAAI 2019
Incorporating Behavioral Constraints in Online AI Systems
AAAI 2019
Incorporating Label Dependencies in Multilabel Stance Detection
EMNLP 2019
Incorporating Network Embedding into Markov Random Field for Better Community Detection
AAAI 2019
Incorporating Visual Semantics into Sentence Representations within a Grounded Space
EMNLP 2019
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
ACL 2019
Incorporating Word Attention into Character-Based Word Segmentation
NAACL 2019
Incremental Class Discovery for Semantic Segmentation With RGBD Sensing
ICCV 2019