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)
Harmonizing Generalization and Personalization in Federated Prompt Learning
ICML 2024
Harnessing Edge Information for Improved Robustness in Vision Transformers
AAAI 2024
Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
ICLR 2024
Harnessing Large Language Models for Training-free Video Anomaly Detection
CVPR 2024
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning
AAAI 2024
Harnessing small projectors and multiple views for efficient vision pretraining
NeurIPS 2024
Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification
AAAI 2024
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
AAAI 2024
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
CVPR 2024
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models
EMNLP 2024
HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images
CVPR 2024
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles From Driving Scenes
WACV 2024
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations
AAAI 2024
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
NeurIPS 2024
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping
AAAI 2024
Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification
AAAI 2024
HEMM: Holistic Evaluation of Multimodal Foundation Models
NeurIPS 2024
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model
NeurIPS 2024
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis
NeurIPS 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
NeurIPS 2024
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
EMNLP 2024
Heterogeneous Test-Time Training for Multi-Modal Person Re-identification
AAAI 2024
HGDL: Heterogeneous Graph Label Distribution Learning
NeurIPS 2024
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents
EMNLP 2024
Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection
ACL 2024