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)
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
CVPR 2019
G2SAT: Learning to Generate SAT Formulas
NeurIPS 2019
Game Design for Eliciting Distinguishable Behavior
NeurIPS 2019
GAN Driven Semi-distant Supervision for Relation Extraction
NAACL 2019
GAN-EM: GAN Based EM Learning Framework
IJCAI 2019
GANs for Semi-Supervised Opinion Spam Detection
IJCAI 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
ICCV 2019
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits
ICML 2019
GASC: Genre-Aware Semantic Change for Ancient Greek
ACL 2019
Gaussian Process Latent Variable Alignment Learning
AISTATS 2019
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
EMNLP 2019
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation
CVPR 2019
GDPP: Learning Diverse Generations using Determinantal Point Processes
ICML 2019
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue
EMNLP 2019
GEM: Generative Enhanced Model for adversarial attacks
EMNLP 2019
Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019
ACL 2019
Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling
ACL 2019
Gendered Pronoun Resolution using BERT and an Extractive Question Answering Formulation
ACL 2019
Generalizable Adversarial Training via Spectral Normalization
ICLR 2019
Generalization Bounds in the Predict-then-Optimize Framework
NeurIPS 2019
Generalization in Generation: A closer look at Exposure Bias
EMNLP 2019
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
NeurIPS 2019
Generalized Boltzmann Machine with Deep Neural Structure
AISTATS 2019
Generalized Data Augmentation for Low-Resource Translation
ACL 2019
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
NeurIPS 2019