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)
Global Matching With Overlapping Attention for Optical Flow Estimation
CVPR 2022
Global Normalization for Streaming Speech Recognition in a Modular Framework
NeurIPS 2022
Globetrotter: Connecting Languages by Connecting Images
CVPR 2022
Glottal inverse filtering based on articulatory synthesis and deep learning
Interspeech 2022
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks
EMNLP 2022
GMN: Generative Multi-modal Network for Practical Document Information Extraction
NAACL 2022
GMU-WLV at TSAR-2022 Shared Task: Evaluating Lexical Simplification Models
EMNLP 2022
Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts
NAACL 2022
GPS: Genetic Prompt Search for Efficient Few-Shot Learning
EMNLP 2022
GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models
ACL 2022
Gradient Based Activations for Accurate Bias-Free Learning
AAAI 2022
Gradual (In)Compatibility of Fairness Criteria
AAAI 2022
Grafting Pre-trained Models for Multimodal Headline Generation
EMNLP 2022
GraftNet: Towards Domain Generalized Stereo Matching With a Broad-Spectrum and Task-Oriented Feature
CVPR 2022
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching
AAAI 2022
Grapheme-to-Phoneme Conversion for Thai using Neural Regression Models
NAACL 2022
Graph-Induced Transformers for Efficient Multi-Hop Question Answering
EMNLP 2022
Graph Neural Controlled Differential Equations for Traffic Forecasting
AAAI 2022
Graph Neural Networks with Adaptive Readouts
NeurIPS 2022
Graph Pointer Neural Networks
AAAI 2022
Graph Refinement for Coreference Resolution
ACL 2022
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification
CVPR 2022
Graph Structure Learning with Variational Information Bottleneck
AAAI 2022
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation
AAAI 2022
Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
AAAI 2022