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
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
NeurIPS 2023
Pushing the Efficiency Limit Using Structured Sparse Convolutions
WACV 2023
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
ACL 2023
Pyramid Dual Domain Injection Network for Pan-sharpening
ICCV 2023
Quantifying the Variability Collapse of Neural Networks
ICML 2023
Quantitative Universal Approximation Bounds for Deep Belief Networks
ICML 2023
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
ICML 2023
Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification
CVPR 2023
Quasi-Equivalence between Width and Depth of Neural Networks
JMLR 2023
RaMLP: Vision MLP via Region-aware Mixing
IJCAI 2023
Random Feature Amplification: Feature Learning and Generalization in Neural Networks
JMLR 2023
Random Feature Neural Networks Learn Black-Scholes Type PDEs Without Curse of Dimensionality
JMLR 2023
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks
NeurIPS 2023
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks
CVPR 2023
RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency
NeurIPS 2023
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
CVPR 2023
Real-Time Causal Spectro-Temporal Voice Activity Detection Based on Convolutional Encoding and Residual Decoding
Interspeech 2023
Real Time Detection of Soft Voice for Speech Enhancement
Interspeech 2023
Real-World Deep Local Motion Deblurring
AAAI 2023
Re-Basin via Implicit Sinkhorn Differentiation
CVPR 2023
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
ICLR 2023
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach
AAAI 2023
Recurrent Attention Networks for Long-text Modeling
ACL 2023
Recurrent Neural Language Models as Probabilistic Finite-state Automata
EMNLP 2023
Recurrent Neural Networks and Universal Approximation of Bayesian Filters
AISTATS 2023