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
CamoFocus: Enhancing Camouflage Object Detection With Split-Feature Focal Modulation and Context Refinement
WACV 2024
Can Implicit Bias Imply Adversarial Robustness?
ICML 2024
Can neural operators always be continuously discretized?
NeurIPS 2024
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
ICLR 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
CVPR 2024
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
AAAI 2024
Cascade of phase transitions in the training of energy-based models
NeurIPS 2024
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations
IJCAI 2024
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
ICLR 2024
CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders.
NAACL 2024
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
ICLR 2024
CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-Aware Camera Pose Regression
WACV 2024
Characterizing ResNet’s Universal Approximation Capability
ICML 2024
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks
JMLR 2024
Classification with Deep Neural Networks and Logistic Loss
JMLR 2024
Cleaner Pretraining Corpus Curation with Neural Web Scraping
ACL 2024
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
ICML 2024
Clifford-Steerable Convolutional Neural Networks
ICML 2024
CliffPhys: Camera-based Respiratory Measurement using Clifford Neural Networks
ECCV 2024
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
ICLR 2024
CLIP in Mirror: Disentangling text from visual images through reflection
NeurIPS 2024
Clustered Federated Learning via Gradient-based Partitioning
ICML 2024
CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry
AAAI 2024
Coarse-To-Fine Tensor Trains for Compact Visual Representations
ICML 2024
Codebook Features: Sparse and Discrete Interpretability for Neural Networks
ICML 2024