Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks
EMNLP 2021
Graph Adversarial Self-Supervised Learning
NeurIPS 2021
Graph Attention Tracking
CVPR 2021
Graph-Based High-Order Relation Discovery for Fine-Grained Recognition
CVPR 2021
Graph Contrastive Clustering
ICCV 2021
Graph Differentiable Architecture Search with Structure Learning
NeurIPS 2021
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
AAAI 2021
Graphine: A Dataset for Graph-aware Terminology Definition Generation
EMNLP 2021
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
AAAI 2021
Graph Neural Networks with Heterophily
AAAI 2021
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification
EMNLP 2021
GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients
AAAI 2021
GridToPix: Training Embodied Agents With Minimal Supervision
ICCV 2021
Grounding inductive biases in natural images: invariance stems from variations in data
NeurIPS 2021
Grounding Language to Autonomously-Acquired Skills via Goal Generation
ICLR 2021
Group-Aware Contrastive Regression for Action Quality Assessment
ICCV 2021
Group-aware Label Transfer for Domain Adaptive Person Re-identification
CVPR 2021
Group Collaborative Learning for Co-Salient Object Detection
CVPR 2021
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
AAAI 2021
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
ICLR 2021
GTA: Graph Truncated Attention for Retrosynthesis
AAAI 2021
GTCOM Neural Machine Translation Systems for WMT21
EMNLP 2021
G-Transformer for Document-Level Machine Translation
ACL 2021
Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation
ICCV 2021
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information
AAAI 2021