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
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
ICLR 2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
NeurIPS 2024
SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation
ACL 2024
Second-order forward-mode optimization of recurrent neural networks for neuroscience
NeurIPS 2024
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
NeurIPS 2024
Selective Nonlinearities Removal from Digital Signals
CVPR 2024
Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
ICML 2024
Self-Supervised Representation Learning With Cross-Context Learning Between Global and Hypercolumn Features
WACV 2024
Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM
ECCV 2024
Semantic Lens: Instance-Centric Semantic Alignment for Video Super-resolution
AAAI 2024
SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution
IJCAI 2024
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach
AAAI 2024
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
NeurIPS 2024
Separations in the Representational Capabilities of Transformers and Recurrent Architectures
NeurIPS 2024
Sequence Alignment-based Similarity Metric in Evolutionary Neural Architecture Search
AutoML 2024
Sequence Length Independent Norm-Based Generalization Bounds for Transformers
AISTATS 2024
Serialized Output Training by Learned Dominance
Interspeech 2024
Set-based Neural Network Encoding Without Weight Tying
NeurIPS 2024
SFOD: Spiking Fusion Object Detector
CVPR 2024
Sharp-NeRF: Grid-Based Fast Deblurring Neural Radiance Fields Using Sharpness Prior
WACV 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
NeurIPS 2024
SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations
AAAI 2024
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks
AAAI 2024
Shuffled Deep Regression
AAAI 2024
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts
NeurIPS 2024