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)
Graph Attention Networks for Anti-Spoofing
Interspeech 2021
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution
ICCV 2021
Graph-Based Continual Learning
ICLR 2021
Graph-Based Label Propagation for Semi-Supervised Speaker Identification
Interspeech 2021
Graph-based semi-supervised learning through the lens of safety
UAI 2021
Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification
IJCAI 2021
Graph Constrained Data Representation Learning for Human Motion Segmentation
ICCV 2021
Graph Contrastive Clustering
ICCV 2021
Graph Contrastive Learning Automated
ICML 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
ICML 2021
Graph Debiased Contrastive Learning with Joint Representation Clustering
IJCAI 2021
Graph Differentiable Architecture Search with Structure Learning
NeurIPS 2021
Graph Filter-based Multi-view Attributed Graph Clustering
IJCAI 2021
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
AAAI 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
AAAI 2021
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification
EMNLP 2021
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
IJCAI 2021
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
NeurIPS 2021
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
ICLR 2021
Greedy Gradient Ensemble for Robust Visual Question Answering
ICCV 2021
Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense
SemEval 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification
NAACL 2021
GridToPix: Training Embodied Agents With Minimal Supervision
ICCV 2021
Grounded Graph Decoding improves Compositional Generalization in Question Answering
EMNLP 2021
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship Detection
ICCV 2021