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)
Large-Scale Heterogeneous Feature Embedding
AAAI 2019
Large Scale Incremental Learning
CVPR 2019
Large-Scale Interactive Object Segmentation With Human Annotators
CVPR 2019
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
AAAI 2019
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
AAAI 2019
Large-Scale Long-Tailed Recognition in an Open World
CVPR 2019
Large Scale Markov Decision Processes with Changing Rewards
NeurIPS 2019
Large-Scale, Metric Structure From Motion for Unordered Light Fields
CVPR 2019
Large-Scale Multi-Label Text Classification on EU Legislation
ACL 2019
Large-Scale Sparse Kernel Canonical Correlation Analysis
ICML 2019
Large-Scale Study of Curiosity-Driven Learning
ICLR 2019
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition
CVPR 2019
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
CVPR 2019
LaSTUS/TALN at SemEval-2019 Task 6: Identification and Categorization of Offensive Language in Social Media with Attention-based Bi-LSTM model
SemEval 2019
Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation
CVPR 2019
Latent Multi-Task Architecture Learning
AAAI 2019
Latent Multi-view Semi-Supervised Classification
ACML 2019
Latent Retrieval for Weakly Supervised Open Domain Question Answering
ACL 2019
Latent semantic network induction in the context of linked example senses
EMNLP 2019
Latent Space Autoregression for Novelty Detection
CVPR 2019
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
EMNLP 2019
Latent Topic Attention for Domain Classification
Interspeech 2019
Latent Variable Model for Multi-modal Translation
ACL 2019
Lattice-Based Lightly-Supervised Acoustic Model Training
Interspeech 2019
LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds
CVPR 2019