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)
A Closer Look at Data Bias in Neural Extractive Summarization Models
EMNLP 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
EMNLP 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning
AAAI 2019
A Comparative Analysis of Unsupervised Language Adaptation Methods
EMNLP 2019
A Comparison of Deep Learning Methods for Language Understanding
Interspeech 2019
A comparison of statistical association measures for identifying dependency-based collocations in various languages.
ACL 2019
A comprehensive, application-oriented study of catastrophic forgetting in DNNs
ICLR 2019
A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature
EMNLP 2019
A Corpus for Reasoning about Natural Language Grounded in Photographs
ACL 2019
Acoustic Model Bootstrapping Using Semi-Supervised Learning
Interspeech 2019
Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events
Interspeech 2019
Acoustic-to-Word Models with Conversational Context Information
NAACL 2019
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification
NAACL 2019
A Cross-Topic Method for Supervised Relevance Classification
EMNLP 2019
A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
NAACL 2019
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition
CVPR 2019
Action Knowledge Transfer for Action Prediction with Partial Videos
AAAI 2019
Action Recognition From Single Timestamp Supervision in Untrimmed Videos
CVPR 2019
Active Annotation: Bootstrapping Annotation Lexicon and Guidelines for Supervised NLU Learning
Interspeech 2019
Active Change-Point Detection
ACML 2019
Active Domain Randomization
CoRL 2019
Active Embedding Search via Noisy Paired Comparisons
ICML 2019
Active Exploration in Markov Decision Processes
AISTATS 2019
Active Generative Adversarial Network for Image Classification
AAAI 2019
ActiveHNE: Active Heterogeneous Network Embedding
IJCAI 2019