Papers
734 papers found
FLVoogd: Robust And Privacy Preserving Federated
Learning
Tian Yuhang, Wang Rui, Qiao Yanqi et al.
Graph annotation generative adversarial networks
Yoann Boget, Magda Gregorova, Alexandros Kalousis
Hashing2Vec: Fast Embedding Generation for
SARS-CoV-2 Spike Sequence Classification
Murad Taslim, Chourasia Prakash, Ali Sarwan et al.
Interpretable Representation Learning from Temporal
Multi-view Data
Lin Qiu, Vernon M. Chinchilli, Lin Lin
Kernelized multi-graph matching
François-Xavier Dupé, Rohit Yadav, Guillaume Auzias et al.
Layer-wise Adaptive Graph Convolution Networks Using
Generalized Pagerank
Kishan Wimalawarne, Taiji Suzuki
Learning Disentangled Representation in Pruning for
Real-Time UAV Tracking
Siyu Ma, Yuting Liu, Dan Zeng et al.
Learning Practical Communication Strategies in
Cooperative Multi-Agent Reinforcement Learning
Diyi Hu, Chi Zhang, Viktor Prasanna et al.
Learning with Domain Knowledge to Develop
Justifiable Convolutional Networks
Rimmon Bhosale, Mrinal Das
Learning with Interactive Models over
Decision-Dependent Distributions
Man-Jie Yuan, Wei Gao
Locally Differentially Private Reinforcement
Learning for Linear Mixture Markov Decision
Processes
Chonghua Liao, Jiafan He, Quanquan Gu
Margin Calibration for Long-Tailed Visual
Recognition
Yidong Wang, Bowen Zhang, Wenxin Hou et al.
Multi-class Classification from Multiple Unlabeled
Datasets with Partial Risk Regularization
Yuting Tang, Nan Lu, Tianyi Zhang et al.
Multi Label Loss Correction against Missing and
Corrupted Labels
Amirmasoud Ghiassi, Robert Birke, Lydia.Y Chen
Multiple Imputation with Neural Network Gaussian
Process for High-dimensional Incomplete Data
Zongyu Dai, Zhiqi Bu, Qi Long
Multi-Scale Anomaly Detection for Time Series with
Attention-based Recurrent Autoencoders
Lu Qingning, Li Wenzhong, Zhu Chuanze et al.
Multi-scale Progressive Gated Transformer for
Physiological Signal Classification
Wei Zhou, Hao Wang, Yiling Zhang et al.
Nighttime Semantic Segmentation with Unsupervised
Learning and Cross Attention
Jian Cheng, Yang-Feng Hu, Yu Dai et al.
Noise Robust Core-stable Coalitions of Hedonic
Games
Prashant Trivedi, Nandyala Hemachandra
Noisy Riemannian Gradient Descent for Eigenvalue
Computation with Application to Inexact Stochastic
Recursive Gradient Algorithm
You-Lin Chen, Zhiqiang Xu, Ping Li
One Gradient Frank-Wolfe for Decentralized Online
Convex and Submodular Optimization
Tuan-Anh Nguyen, Nguyen Kim Thang, Denis Trystram
On PAC Learning Halfspaces in Non-interactive Local
Privacy Model with Public Unlabeled Data
Jinyan Su, Jinhui Xu, Di Wang
On the Convergence of Decentralized Adaptive
Gradient Methods
Xiangyi Chen, Belhal Karimi, Weijie Zhao et al.
On the Episodic Difficulty of Few-shot Learning
Yunwei Bai, Zhenfeng He, Junfeng Hu
On the expressivity of bi-Lipschitz normalizing
flows
Alexandre Verine, Benjamin Negrevergne, Yann Chevaleyre et al.