Papers
734 papers found
Deep Traffic Benchmark: Aerial Perception and Driven Behavior Dataset
Guoxing Zhang, Qiuping Li, Yiming Liu et al.
Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition
Hakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas
Degree-based stratification of nodes in Graph Neural Networks
Ameen Ali, Lior Wolf, Hakan Cevikalp
DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks
Mina Yazdani, Hamed Karimi, Reza Samavi
Detecting and Repairing Deviated Outputs of Compressed Models
Yichen Li, Qi Pang, Dongwei Xiao et al.
Diffusion-based Visual Representation Learning for Medical Question Answering
Dexin Bian, Xiaoru Wang, Meifang Li
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks
Andreas Roth, Thomas Liebig
Domain Generalization with Interpolation Robustness
Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le et al.
Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation
Mingshi Liu, Xiaoru Wang, Zhihong Yu et al.
Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures
Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan et al.
Edit-A-Video: Single Video Editing with Object-Aware Consistency
Chaehun Shin, Heeseung Kim, Che Hyun Lee et al.
Efficient Medical Images Text Detection with Vision-Language Pre-training Approach
Tianyang Li, Jinxu Bai, Qingzhu Wang et al.
Empirical Study of Federated Unlearning: Efficiency and Effectiveness
Thai-Hung Nguyen, Hong-Phuc Vu, Dung Thuy Nguyen et al.
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training
Zihao Deng, Benjamin Ghaemmaghami, Ashish Kumar Singh et al.
Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction:A Novel Method
Qiao Pan, Bin Yang, Dehua Chen et al.
Equilibrium Point Learning
Dowoo Baik, Ji Won Yoon
Estimation of Counterfactual Interventions under Uncertainties
Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir et al.
Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting
Zixuan Liang, Yanan Sun
Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression
Seungtae Lee, Jonghwan Ko, Seokin Hong
Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning
Yuxi Zheng, Yongjun Zhang, Chenran Zhao et al.
FasterVoxelPose+: Fast and Accurate Voxel-based 3D Human Pose Estimation by Depth-wise Projection Decay
Zonghuang Zhuang, Yue Zhou
Federated Learning with Uncertainty via Distilled Predictive Distributions
Shrey Bhatt, Aishwarya Gupta, Piyush Rai
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks
Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki et al.
Free Energy of Bayesian Convolutional Neural Network with Skip Connection
Shuya Nagayasu, Sumio Watanabe
Frequency-dependent Image Reconstruction Error for Micro Defect Detection
Yuhei Nomura, Hirotaka Hachiya