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)
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
EMNLP 2024
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
NeurIPS 2024
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
ACL 2024
Demystifying CLIP Data
ICLR 2024
Demystifying Instruction Mixing for Fine-tuning Large Language Models
ACL 2024
DenoiseRep: Denoising Model for Representation Learning
NeurIPS 2024
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation
WACV 2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
AAAI 2024
Dense Connector for MLLMs
NeurIPS 2024
Dense Passage Retrieval: Is it Retrieving?
EMNLP 2024
Dense Projection for Anomaly Detection
AAAI 2024
Dense X Retrieval: What Retrieval Granularity Should We Use?
EMNLP 2024
Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction
CVPR 2024
Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling
CVPR 2024
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
CVPR 2024
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts
AISTATS 2024
Dependency Annotation of Ottoman Turkish with Multilingual BERT
EACL 2024
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
CVPR 2024
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
CVPR 2024
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views
AAAI 2024
Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
CVPR 2024
Depth Prompting for Sensor-Agnostic Depth Estimation
CVPR 2024
Design Choices for Enhancing Noisy Student Self-Training
WACV 2024
Designing a Hybrid Neural System To Learn Real-World Crack Segmentation From Fractal-Based Simulation
WACV 2024
Designing Informative Metrics for Few-Shot Example Selection
ACL 2024