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)
HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking
AAAI 2025
HFT: Half Fine-Tuning for Large Language Models
ACL 2025
HGEN: Heterogeneous Graph Ensemble Networks
IJCAI 2025
Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridging
ICCV 2025
Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings
ACL 2025
Hidden in Plain Sight: Reasoning in Underspecified and Misspecified Scenarios for Multimodal LLMs
EMNLP 2025
Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine
ACL 2025
HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification
MIDL 2025
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension
AAAI 2025
Hierarchical-aware Orthogonal Disentanglement Framework for Fine-grained Skeleton-based Action Recognition
ICCV 2025
Hierarchical Bracketing Encodings for Dependency Parsing as Tagging
ACL 2025
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
CVPR 2025
Hierarchical Consensus Network for Multiview Feature Learning
AAAI 2025
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
AAAI 2025
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
AAAI 2025
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
AAAI 2025
Hierarchical Divide-and-Conquer Grouping for Classification Adaptation of Pre-Trained Models
ICCV 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation
CVPR 2025
Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings
ACL 2025
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
AAAI 2025
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding
CVPR 2025
HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search
ACL 2025
High-Dimensional Interlingual Representations of Large Language Models
ACL 2025
High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm
CVPR 2025
Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning
AAAI 2025