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)
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning
CVPR 2023
HAD-ANC: A Hybrid System Comprising an Adaptive Filter and Deep Neural Networks for Active Noise Control
Interspeech 2023
HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending
ICCV 2023
HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling
CVPR 2023
Hallucination Detection for Grounded Instruction Generation
EMNLP 2023
HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions
CVPR 2023
Handling the Alignment for Wake Word Detection: A Comparison Between Alignment-Based, Alignment-Free and Hybrid Approaches
Interspeech 2023
Handwritten Text Generation From Visual Archetypes
CVPR 2023
Hard Patches Mining for Masked Image Modeling
CVPR 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
NeurIPS 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering
AAAI 2023
Hard Sample Aware Prompt-Tuning
ACL 2023
Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices
ACML 2023
Harmonious Teacher for Cross-Domain Object Detection
CVPR 2023
Harnessing Black-Box Control to Boost Commonsense in LM’s Generation
EMNLP 2023
Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers
EMNLP 2023
HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation
ACL 2023
HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language
ACL 2023
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization
CVPR 2023
HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models
ACL 2023
Heterogeneous-Branch Collaborative Learning for Dialogue Generation
AAAI 2023
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
AAAI 2023
Heterogeneous Graph Masked Autoencoders
AAAI 2023
HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction
EMNLP 2023
HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection
AAAI 2023