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)
ASAC: Active Sensing using Actor-Critic models
MLHC 2019
A Saliency-Based Attention LSTM Model for Cognitive Load Classification from Speech
Interspeech 2019
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection
EMNLP 2019
A Self-Training Approach for Short Text Clustering
ACL 2019
A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation
EMNLP 2019
A Sequential Set Generation Method for Predicting Set-Valued Outputs
AAAI 2019
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
NeurIPS 2019
A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning
ACL 2019
A Simple Baseline for Audio-Visual Scene-Aware Dialog
CVPR 2019
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
CoRL 2019
Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives
NAACL 2019
A Solvable High-Dimensional Model of GAN
NeurIPS 2019
Assessing Arabic Weblog Credibility via Deep Co-learning
ACL 2019
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
NeurIPS 2019
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd
NAACL 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2019
A Summarization System for Scientific Documents
EMNLP 2019
A Surprisingly Robust Trick for the Winograd Schema Challenge
ACL 2019
A Survey of Reinforcement Learning Informed by Natural Language
IJCAI 2019
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering
RSS 2019
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling
EMNLP 2019
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
EMNLP 2019
At a Glance: The Impact of Gaze Aggregation Views on Syntactic Tagging
EMNLP 2019
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19
ACL 2019
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
ICML 2019