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)
Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training
ACL 2025
HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID
ICCV 2025
HAMSt3R: Human-Aware Multi-view Stereo 3D Reconstruction
ICCV 2025
Hand-held Object Reconstruction from RGB Video with Dynamic Interaction
CVPR 2025
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
ICML 2025
Hanfu-Bench: A Multimodal Benchmark on Cross-Temporal Cultural Understanding and Transcreation
EMNLP 2025
Hansel: Output Length Controlling Framework for Large Language Models
AAAI 2025
HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals
EMNLP 2025
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems
ACL 2025
HAR-former: Hybrid Transformer with an Adaptive Time-Frequency Representation Matrix for Long-Term Series Forecasting
AISTATS 2025
Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding
EMNLP 2025
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
EMNLP 2025
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
AAAI 2025
HarmonySet: A Comprehensive Dataset for Understanding Video-Music Semantic Alignment and Temporal Synchronization
CVPR 2025
Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models
CVPR 2025
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
CVPR 2025
Harnessing Input-Adaptive Inference for Efficient VLN
ICCV 2025
Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection
ACML 2025
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
AAAI 2025
Harnessing PDF Data for Improving Japanese Large Multimodal Models
ACL 2025
Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning
ICCV 2025
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
AISTATS 2025
Harnessing Vision Models for Time Series Analysis: A Survey
IJCAI 2025
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
ACL 2025
HASRD: Hierarchical Acoustic and Semantic Representation Disentanglement
Interspeech 2025