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
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'25
Papers (including subtopics)
DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
CVPR 2025
Deploying Multi-task Online Server with Large Language Model
COLING 2025
Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices
EMNLP 2025
DepressGEN: Synthetic Data Generation Framework for Depression Detection
Interspeech 2025
Depth Any Event Stream: Enhancing Event-based Monocular Depth Estimation via Dense-to-Sparse Distillation
ICCV 2025
Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology
ICCV 2025
Describe Anything: Detailed Localized Image and Video Captioning
ICCV 2025
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding
EMNLP 2025
Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling
AAAI 2025
DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes
CVPR 2025
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
ICCV 2025
Destroy and Repair Using Hyper-Graphs for Routing
AAAI 2025
Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction
AAAI 2025
Detecting Adversarial Data Using Perturbation Forgery
CVPR 2025
Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs
ACL 2025
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
AAAI 2025
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
EMNLP 2025
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
IJCAI 2025
Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification
ACL 2025
Detecting Honkadori based on Waka Embeddings
NAACL 2025
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
EMNLP 2025
Detecting Music Performance Errors with Transformers
AAAI 2025
Detoxifying Large Language Models via the Diversity of Toxic Samples
EMNLP 2025
Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction
Interspeech 2025
Developing a Top-tier Framework in Naturalistic Conditions Challenge for Categorized Emotion Prediction: From Speech Foundation Models and Learning Objective to Data Augmentation and Engineering Choices
Interspeech 2025