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
Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
ICML 2024
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection
WACV 2024
R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces
NAACL 2024
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions
NeurIPS 2024
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
NeurIPS 2024
Sampling-Resilient Multi-Object Tracking
AAAI 2024
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
ICLR 2024
SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network
AAAI 2024
Say Anything with Any Style
AAAI 2024
Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
ICLR 2024
Scalable Monotonic Neural Networks
ICLR 2024
Scalable Neural Network Kernels
ICLR 2024
Scalable Optimization in the Modular Norm
NeurIPS 2024
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
WACV 2024
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks
JMLR 2024
Scaling Convex Neural Networks with Burer-Monteiro Factorization
ICLR 2024
Scaling Supervised Local Learning with Augmented Auxiliary Networks
ICLR 2024
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%
NeurIPS 2024
SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
CVPR 2024
Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
NeurIPS 2024
SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
CVPR 2024
SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASR
Interspeech 2024
SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views
AAAI 2024
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
ICLR 2024
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation
AAAI 2024