Papers
The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)
Roberto Martinez-Maldonado, Vanessa Echeverria, Katerina Mangaroska et al.
The Parameterized Complexity of Connected Fair Division
Argyrios Deligkas, Eduard Eiben, Robert Ganian et al.
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
Christopher Morris, Matthias Fey, Nils Kriege
The Successful Ingredients of Policy Gradient Algorithms
Sven Gronauer, Martin Gottwald, Klaus Diepold
The Surprising Power of Graph Neural Networks with Random Node Initialization
Ralph Abboud, İsmail İlkan Ceylan, Martin Grohe et al.
Thompson Sampling for Bandits with Clustered Arms
Emil Carlsson, Devdatt Dubhashi, Fredrik D. Johansson
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport
Tuan Nguyen, Trung Le, Nhan Dam et al.
Time-Aware Multi-Scale RNNs for Time Series Modeling
Zipeng Chen, Qianli Ma, Zhenxi Lin
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen, Liang Sun, Fan Yang et al.
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen et al.
Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics
Hiromu Yakura, Yuki Koyama, Masataka Goto
Topic Modelling Meets Deep Neural Networks: A Survey
He Zhao, Dinh Phung, Viet Huynh et al.
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs
Théo Lacombe, Yuichi Ike, Mathieu Carrière et al.
Tournaments in Computational Social Choice: Recent Developments
Warut Suksompong
Toward Optimal Solution for the Context-Attentive Bandit Problem
Djallel Bouneffouf, Raphael Feraud, Sohini Upadhyay et al.
Towards an Explainer-agnostic Conversational XAI
Navid Nobani, Fabio Mercorio, Mario Mezzanzanica
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
Yanbo Wang, Shaohui Lin, Yanyun Qu et al.
Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction
Xin Tong, Xianghua Ying, Yongjie Shi et al.
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices
Xuan Shen, Geng Yuan, Wei Niu et al.
Towards Reducing Biases in Combining Multiple Experts Online
Yi Sun, Iván Ramírez Díaz, Alfredo Cuesta Infante et al.
Towards Robust Dynamic Network Embedding
Chengbin Hou, Ke Tang