39 citations · 157 across the 33 of their papers we have counts for
11 papers · 1 filter
Unsupervised Video Summarization via Iterative Training and Simplified GAN
Hanqing Li, Diego Klabjan, Jean Utke
This paper introduces a new, unsupervised method for automatic video summarization using ideas from generative adversarial networks but eliminating the discriminator, having a simp…
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm
Yintai Ma, Diego Klabjan
This paper presents a novel semi-supervised deep learning algorithm for retrieving similar 2D and 3D videos based on visual content. The proposed approach combines the power of dee…
Regret Lower Bounds in Multi-agent Multi-armed Bandit
Mengfan Xu, Diego Klabjan
Multi-armed Bandit motivates methods with provable upper bounds on regret and also the counterpart lower bounds have been extensively studied in this context. Recently, Multi-agent…
Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints
Jaeyeon Jang, Diego Klabjan, Han Liu +5
This paper proposes a novel multi-agent reinforcement learning (MARL) method to learn multiple coordinated agents under directed acyclic graph (DAG) constraints. Unlike existing MA…
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture
Ye Xue, Diego Klabjan, Jean Utke
Multimodal multitask learning has attracted an increasing interest in recent years. Singlemodal models have been advancing rapidly and have achieved astonishing results on various…
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
Mengfan Xu, Diego Klabjan
We study a decentralized multi-agent multi-armed bandit problem in which multiple clients are connected by time dependent random graphs provided by an environment. The reward distr…