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)
UniFL: Improve Latent Diffusion Model via Unified Feedback Learning
NeurIPS 2024
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
NeurIPS 2024
Unifying Visual and Vision-Language Tracking via Contrastive Learning
AAAI 2024
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype
AAAI 2024
UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence
CVPR 2024
UniHuman: A Unified Model For Editing Human Images in the Wild
CVPR 2024
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
NeurIPS 2024
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause
EMNLP 2024
UniMODE: Unified Monocular 3D Object Detection
CVPR 2024
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
CVPR 2024
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories
NeurIPS 2024
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit
AAAI 2024
Unity by Diversity: Improved Representation Learning for Multimodal VAEs
NeurIPS 2024
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources
ACL 2024
Universal Humanoid Motion Representations for Physics-Based Control
ICLR 2024
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues
ICML 2024
Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction
WACV 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
EMNLP 2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
EMNLP 2024
Unlearning Traces the Influential Training Data of Language Models
ACL 2024
Unleashing Large Language Models’ Proficiency in Zero-shot Essay Scoring
EMNLP 2024
Unleashing Network Potentials for Semantic Scene Completion
CVPR 2024
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
CVPR 2024
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
NeurIPS 2024
Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models
EMNLP 2024