Architectures
30,950 papers (33 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
3
15
13
18
17
27
39
43
74
94
221
536
912
1,611
2,559
3,004
3,504
3,729
4,021
4,550
4,519
1,439
'10
'15
'20
'25
Papers (including subtopics)
Unified Training of Universal Time Series Forecasting Transformers
ICML 2024
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
ICLR 2024
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
NeurIPS 2024
Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles
NeurIPS 2024
Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval
COLING 2024
Unifying Visual and Vision-Language Tracking via Contrastive Learning
AAAI 2024
UniGAD: Unifying Multi-level Graph Anomaly Detection
NeurIPS 2024
UniIF: Unified Molecule Inverse Folding
NeurIPS 2024
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion
ACL 2024
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization
CVPR 2024
Union Subgraph Neural Networks
AAAI 2024
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition
CVPR 2024
UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections
NeurIPS 2024
Unitary Convolutions for Learning on Graphs and Groups
NeurIPS 2024
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories
NeurIPS 2024
United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning From Videos
WACV 2024
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit
AAAI 2024
UniTS: A Unified Multi-Task Time Series Model
NeurIPS 2024
UNIT: Unifying Image and Text Recognition in One Vision Encoder
NeurIPS 2024
Unity by Diversity: Improved Representation Learning for Multimodal VAEs
NeurIPS 2024
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes
ICML 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models
NeurIPS 2024
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues
ICML 2024
Universal Neural Functionals
NeurIPS 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
NeurIPS 2024