Papers
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
Wei Ju, Xiao Luo, Meng Qu et al.
The Complexity of Envy-Free Graph Cutting
Argyrios Deligkas, Eduard Eiben, Robert Ganian et al.
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations
Marina Knittel, Samuel Dooley, John Dickerson
The Egocentric Logic of Preferences
Junli Jiang, Pavel Naumov
The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica et al.
The Limits of Morality in Strategic Games
Rui Cao, Pavel Naumov
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication (Extended Abstract)
Blake Woodworth, Brian Bullins, Ohad Shamir et al.
The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding
Giulia Romano, Matteo Castiglioni, Alberto Marchesi et al.
The Shapley Value in Machine Learning
Benedek Rozemberczki, Lauren Watson, Péter Bayer et al.
“Think Before You Speak”: Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs
Shuo Zhang, Junzhou Zhao, Pinghui Wang et al.
Thompson Sampling for Bandit Learning in Matching Markets
Fang Kong, Junming Yin, Shuai Li
Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems
Emily Halina, Matthew Guzdial
Threshold-free Pattern Mining Meets Multi-Objective Optimization: Application to Association Rules
Charles Vernerey, Samir Loudni, Noureddine Aribi et al.
Tight Bounds for Hybrid Planning
Pascal Bercher, Songtuan Lin, Ron Alford
Time-Constrained Participatory Budgeting Under Uncertain Project Costs
Dorothea Baumeister, Linus Boes, Christian Laußmann
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources
Dong Xing, Qian Zheng, Qianhui Liu et al.
TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning
Yujia Li, Shiliang Sun, Jing Zhao
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
Together about Dementia
Nicklas Sindlev Andersen, Marco Chiarandini
Tolerance is Necessary for Stability: Single-Peaked Swap Schelling Games
Davide Bilò, Vittorio Bilò, Pascal Lenzner et al.
TopoSeg: Topology-aware Segmentation for Point Clouds
Weiquan Liu, Hanyun Guo, Weini Zhang et al.
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks
Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
Toward Policy Explanations for Multi-Agent Reinforcement Learning
Kayla Boggess, Sarit Kraus, Lu Feng
Towards Adversarially Robust Deep Image Denoising
Hanshu Yan, Jingfeng Zhang, Jiashi Feng et al.
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang, Kan Ren, Xufang Luo et al.