Model Architecture
5,047 papers
Papers per year
1
1
1
1
6
5
23
57
124
266
443
461
660
584
701
741
704
268
'10
'15
'20
'25
Papers
Orthogonal Adaptation for Modular Customization of Diffusion Models
CVPR 2024
OSIC: A New One-Stage Image Captioner Coined
IJCAI 2024
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
ICLR 2024
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular Video
CVPR 2024
Parallel Backpropagation for Shared-Feature Visualization
NeurIPS 2024
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
CVPR 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
ICML 2024
Parameter-Inverted Image Pyramid Networks
NeurIPS 2024
Parameterized Projected Bellman Operator
AAAI 2024
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks
CVPR 2024
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
WACV 2024
PartialFormer: Modeling Part Instead of Whole for Machine Translation
ACL 2024
Patched Line Segment Learning for Vector Road Mapping
AAAI 2024
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
CVPR 2024
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
CVPR 2024
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
NeurIPS 2024
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search
AAAI 2024
Performance Interfaces for Hardware Accelerators
OSDI 2024
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
NeurIPS 2024
PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
CVPR 2024
Physics and Lie symmetry informed Gaussian processes
ICML 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
NeurIPS 2024
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
CVPR 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks
AAAI 2024
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
CVPR 2024