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)
HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation
AAAI 2024
HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting
CVPR 2024
Human Motion Prediction Under Unexpected Perturbation
CVPR 2024
Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models
NeurIPS 2024
HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes
CVPR 2024
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
CVPR 2024
HW-TSC’s Participation in the WMT 2024 QEAPE Task
EMNLP 2024
Hybrid Alignment Training for Large Language Models
ACL 2024
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations
AAAI 2024
Hybrid Mamba for Few-Shot Segmentation
NeurIPS 2024
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
EMNLP 2024
Hybrid Sample Synthesis-Based Debiasing of Classifier in Limited Data Setting
WACV 2024
Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
AAAI 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
NeurIPS 2024
Hyperbolic Anomaly Detection
CVPR 2024
Hyperbolic Learning with Synthetic Captions for Open-World Detection
CVPR 2024
Hypercorrelation Evolution for Video Class-Incremental Learning
AAAI 2024
HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation
EMNLP 2024
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection
NeurIPS 2024
HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions
ECCV 2024
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
CVPR 2024
HYPO: Hyperspherical Out-Of-Distribution Generalization
ICLR 2024
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection
AAAI 2024
HyQE: Ranking Contexts with Hypothetical Query Embeddings
EMNLP 2024
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization
EMNLP 2024