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)
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
CVPR 2024
Diffusion Actor-Critic with Entropy Regulator
NeurIPS 2024
Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
NeurIPS 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
NeurIPS 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
NeurIPS 2024
Diffusion for World Modeling: Visual Details Matter in Atari
NeurIPS 2024
Diffusion Model Alignment Using Direct Preference Optimization
CVPR 2024
Diffusion Models are Certifiably Robust Classifiers
NeurIPS 2024
Diffusion Models Meet Image Counter-Forensics
WACV 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
NeurIPS 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
CVPR 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
NeurIPS 2024
Diffusion-Reward Adversarial Imitation Learning
NeurIPS 2024
Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract)
AAAI 2024
DILAB at #SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data
ACL 2024
DIOD: Self-Distillation Meets Object Discovery
CVPR 2024
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
NeurIPS 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
CVPR 2024
Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning
AAAI 2024
Direct May Not Be the Best: An Incremental Evolution View of Pose Generation
AAAI 2024
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation
MLHC 2024
Direct Preference Optimization with an Offset
ACL 2024
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
NeurIPS 2024
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks
IJCAI 2024
Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLP
UAI 2024