Neural Networks
13,168 papers
Papers per year
2
3
11
13
16
16
25
29
31
58
71
150
423
716
1,155
1,541
1,448
1,502
1,290
1,327
1,589
1,371
381
'10
'15
'20
'25
Papers
Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
ICLR 2024
Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis
AAAI 2024
PointMamba: A Simple State Space Model for Point Cloud Analysis
NeurIPS 2024
PointPatchMix: Point Cloud Mixing with Patch Scoring
AAAI 2024
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification
AAAI 2024
Polyhedral Complex Derivation from Piecewise Trilinear Networks
NeurIPS 2024
Polynomial Width is Sufficient for Set Representation with High-dimensional Features
ICLR 2024
PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION
ICLR 2024
Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction
CVPR 2024
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
ICML 2024
Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
ICML 2024
Positive Concave Deep Equilibrium Models
ICML 2024
Post-hoc Part-Prototype Networks
ICML 2024
Post-Net: A linguistically inspired sequence-dependent transformed neural architecture for automatic syllable stress detection
Interspeech 2024
Post-trained Convolution Networks for Single Image Super-resolution (Abstract Reprint)
AAAI 2024
Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract)
AAAI 2024
PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
NeurIPS 2024
Practical Measurements of Translucent Materials with Inter-Pixel Translucency Prior
CVPR 2024
Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
NeurIPS 2024
PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control
ECCV 2024
PRECISe : Prototype-Reservation for Explainable classification under Imbalanced and Scarce-Data Settings
MLHC 2024
Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation
MIDL 2024
Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins
MIDL 2024
Predicting Dose-Response Curves with Deep Neural Networks
ICML 2024
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
NeurIPS 2024