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)
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios
EMNLP 2022
Hardness of Learning a Single Neuron with Adversarial Label Noise
AISTATS 2022
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
AAAI 2022
Harmonizing the object recognition strategies of deep neural networks with humans
NeurIPS 2022
Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content From Parameterized Transformations
CVPR 2022
Harvest – a System for Creating Structured Rate Filing Data from Filing PDFs
AAAI 2022
Hashing2Vec: Fast Embedding Generation for
SARS-CoV-2 Spike Sequence Classification
ACML 2022
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification
ACL 2022
Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features
EMNLP 2022
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
EMNLP 2022
HCSC: Hierarchical Contrastive Selective Coding
CVPR 2022
HDNet: High-Resolution Dual-Domain Learning for Spectral Compressive Imaging
CVPR 2022
HEGEL: Hypergraph Transformer for Long Document Summarization
EMNLP 2022
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators
EMNLP 2022
HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations
ACL 2022
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers
AAAI 2022
Heterogeneous Skill Learning for Multi-agent Tasks
NeurIPS 2022
Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks
AAAI 2022
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction
ACL 2022
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning
EMNLP 2022
Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization
AAAI 2022
Hierarchical Image Generation via Transformer-Based Sequential Patch Selection
AAAI 2022
Hierarchical Inductive Transfer for Continual Dialogue Learning
ACL 2022
Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction
AAAI 2022
Hierarchical Proxy-Based Loss for Deep Metric Learning
WACV 2022