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
CurveCloudNet: Processing Point Clouds with 1D Structure
CVPR 2024
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
WACV 2024
DaReNeRF: Direction-aware Representation for Dynamic Scenes
CVPR 2024
DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection
NeurIPS 2024
DART: Implicit Doppler Tomography for Radar Novel View Synthesis
CVPR 2024
Data Driven Threshold and Potential Initialization for Spiking Neural Networks
AISTATS 2024
Data-free Neural Representation Compression with Riemannian Neural Dynamics
ICML 2024
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
NeurIPS 2024
DCV2I: A Practical Approach for Supporting Geographers’ Visual Interpretation in Dune Segmentation with Deep Vision Models
AAAI 2024
Debiasing surgeon: fantastic weights and how to find them
ECCV 2024
DeblurSR: Event-Based Motion Deblurring under the Spiking Representation
AAAI 2024
Deciphering Assamese Vowel Harmony with Featural InfoWaveGAN
Interspeech 2024
Decodable and Sample Invariant Continuous Object Encoder
ICLR 2024
Decomposing Fusional Morphemes with Vector Embeddings
NAACL 2024
Deconstructing the Goldilocks Zone of Neural Network Initialization
ICML 2024
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
ICML 2024
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.
NeurIPS 2024
Deep Backward and Galerkin Methods for the Finite State Master Equation
JMLR 2024
Deep blind arterial input function: signal correction in perfusion cardiac magnetic resonance
MIDL 2024
DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning
AAAI 2024
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
AISTATS 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
NeurIPS 2024
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
ICML 2024
Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data
ICLR 2024
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis
WACV 2024