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)
Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments
ICML 2019
“My Way of Telling a Story”: Persona based Grounded Story Generation
ACL 2019
Named Entity Recognition with Partially Annotated Training Data
CoNLL 2019
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
NeurIPS 2019
Narrative Generation in the Wild: Methods from NaNoGenMo
ACL 2019
Nasal Consonant Discrimination in Infant- and Adult-Directed Speech
Interspeech 2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
ICML 2019
Natural Option Critic
AAAI 2019
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
CoRL 2019
NCLS: Neural Cross-Lingual Summarization
EMNLP 2019
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
CVPR 2019
Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits
COLT 2019
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction
EMNLP 2019
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
NeurIPS 2019
Negative Momentum for Improved Game Dynamics
AISTATS 2019
NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep
SemEval 2019
Network Embedding with Dual Generation Tasks
IJCAI 2019
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach
RSS 2019
Network Pruning via Transformable Architecture Search
NeurIPS 2019
Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision
ACL 2019
Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing
ACL 2019
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
ACL 2019
Neural Collaborative Subspace Clustering
ICML 2019
Neural Cross-Lingual Event Detection with Minimal Parallel Resources
EMNLP 2019
Neural Duplicate Question Detection without Labeled Training Data
EMNLP 2019