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)
Deep Domain-Adversarial Image Generation for Domain Generalisation
AAAI 2020
Deep Drone Acrobatics
RSS 2020
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories
AAAI 2020
Deep Dynamic Boosted Forest
ACML 2020
Deep Embedded Complementary and Interactive Information for Multi-View Classification
AAAI 2020
Deep Embedded Non-Redundant Clustering
AAAI 2020
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers
CVPR 2020
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images
WACV 2020
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image
WACV 2020
Deep Generative Model for Robust Imbalance Classification
CVPR 2020
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
NeurIPS 2020
Deep Hierarchical Classification for Category Prediction in E-commerce System
ACL 2020
Deep Homography Estimation for Dynamic Scenes
CVPR 2020
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
IJCAI 2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
NeurIPS 2020
Deep Imitation Learning for Bimanual Robotic Manipulation
NeurIPS 2020
Deep k-NN for Noisy Labels
ICML 2020
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
MLHC 2020
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
ICML 2020
Deep Message Passing on Sets
AAAI 2020
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization
AAAI 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning
ACML 2020
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization
AAAI 2020
Deep Object Co-Segmentation via Spatial-Semantic Network Modulation
AAAI 2020
Deep Ranking for Style-Aware Room Recommendations (Student Abstract)
AAAI 2020