Papers
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
Tengfei Ma, Patrick Ferber, Siyu Huo et al.
On Measuring and Mitigating Biased Inferences of Word Embeddings
Sunipa Dev, Tao Li, Jeff M. Phillips et al.
On Performance Estimation in Automatic Algorithm Configuration
Shengcai Liu, Ke Tang, Yunwei Lei et al.
On Succinct Groundings of HTN Planning Problems
Gregor Behnke, Daniel Höller, Alexander Schmid et al.
On Swap Convexity of Voting Rules
Svetlana Obraztsova, Edith Elkind, Piotr Faliszewski
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Erik Nijkamp, Mitch Hill, Tian Han et al.
On the Convergence of Model Free Learning in Mean Field Games
Romuald Elie, Julien Pérolat, Mathieu Laurière et al.
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem et al.
On the Expressivity of ASK Queries in SPARQL
Xiaowang Zhang, Jan Van den Bussche, Kewen Wang et al.
On the Generation of Medical Question-Answer Pairs
Sheng Shen, Yaliang Li, Nan Du et al.
On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract)
Dean L. Slack, Mariann Hardey, Noura Al Moubayed
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
Xiangrui Li, Xin Li, Deng Pan et al.
On the Max-Min Fair Stochastic Allocation of Indivisible Goods
Yasushi Kawase, Hanna Sumita
On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank
Robert Ganian, Iyad Kanj, Sebastian Ordyniak et al.
On the Problem of Covering a 3-D Terrain
Eduard Eiben, Isuru Godage, Iyad Kanj et al.
On the Role of Weight Sharing During Deep Option Learning
Matthew Riemer, Ignacio Cases, Clemens Rosenbaum et al.
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
Bingchen Liu, Yizhe Zhu, Zuohui Fu et al.
Open Domain Event Text Generation
Zihao Fu, Lidong Bing, Wai Lam
Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract)
Damir Pulatov, Lars Kotthoff
Optical Flow in Deep Visual Tracking
Mikko Vihlman, Arto Visala
Optimal Attack against Autoregressive Models by Manipulating the Environment
Yiding Chen, Xiaojin Zhu
Optimal Auction Based Automated Negotiation in Realistic Decentralised Market Environments
Pankaj Mishra, Ahmed Maustafa, Takayuki Ito et al.
Optimal Common Contract with Heterogeneous Agents
Shenke Xiao, Zihe Wang, Mengjing Chen et al.
Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract)
Wang Qisheng, Wang Qichao, Li Xiao