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 Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI
AAAI 2019
A Theory of Selective Prediction
COLT 2019
A Tighter Analysis of Randomised Policy Iteration
UAI 2019
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
AAAI 2019
Attacking Data Transforming Learners at Training Time
AAAI 2019
Attending to Discriminative Certainty for Domain Adaptation
CVPR 2019
Attending to Future Tokens for Bidirectional Sequence Generation
EMNLP 2019
Attentional Neural Fields for Crowd Counting
ICCV 2019
Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition
AAAI 2019
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
CVPR 2019
Attention-Based Autism Spectrum Disorder Screening With Privileged Modality
ICCV 2019
Attention-based Conditioning Methods for External Knowledge Integration
ACL 2019
Attention-Based Dropout Layer for Weakly Supervised Object Localization
CVPR 2019
Attention Bridging Network for Knowledge Transfer
ICCV 2019
Attention Guided Imitation Learning and Reinforcement Learning
AAAI 2019
Attention Is (not) All You Need for Commonsense Reasoning
ACL 2019
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
NeurIPS 2019
Attentive Neural Processes
ICLR 2019
Attentive Region Embedding Network for Zero-Shot Learning
CVPR 2019
Attentive Single-Tasking of Multiple Tasks
CVPR 2019
Attract or Distract: Exploit the Margin of Open Set
ICCV 2019
Attribute Attention for Semantic Disambiguation in Zero-Shot Learning
ICCV 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach
IJCAI 2019
Attribute-efficient learning of monomials over highly-correlated variables
ALT 2019
A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels
AAAI 2019