Papers
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges
Ziqiao Meng, Peilin Zhao, Yang Yu et al.
A Unifying Formal Approach to Importance Values in Boolean Functions
Hans Harder, Simon Jantsch, Christel Baier et al.
Auto-bidding with Budget and ROI Constrained Buyers
Xiaodong Liu, Weiran Shen
Automated Planning for Generating and Simulating Traffic Signal Strategies
Saumya Bhatnagar, Rongge Guo, Keith McCabe et al.
Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation (Extended Abstract)
Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos
Automatic Truss Design with Reinforcement Learning
Weihua Du, Jinglun Zhao, Chao Yu et al.
Automatic Verification for Soundness of Bounded QNP Abstractions for Generalized Planning
Zhenhe Cui, Weidu Kuang, Yongmei Liu
Automating Rigid Origami Design
Jeremia Geiger, Karolis Martinkus, Oliver Richter et al.
AutoML for Outlier Detection with Optimal Transport Distances
Prabhant Singh, Joaquin Vanschoren
Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms
Pratik Gajane, Peter Auer, Ronald Ortner
Backpropagation of Unrolled Solvers with Folded Optimization
James Kotary, My H Dinh, Ferdinando Fioretto
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages
Claudio S. Pinhanez, Paulo Cavalin, Marisa Vasconcelos et al.
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
Yunchao Yang, Yipeng Zhou, Miao Hu et al.
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
Yalin Yu, Enneng Yang, Guibing Guo et al.
Bayesian Federated Learning: A Survey
Longbing Cao, Hui Chen, Xuhui Fan et al.
Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants
Peng Liu, Haowei Wang, Wei Qiyu
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges
Phuong Quynh Le, Meike Nauta, Van Bach Nguyen et al.
Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification
Zheng Gong, Guifeng Wang, Ying Sun et al.
Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data
Ziao Wang, Zelin Jiang, Xiaofeng Zhang et al.
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics
Aamal Hussain, Francesco Belardinelli, Georgios Piliouras
Bias On Demand: Investigating Bias with a Synthetic Data Generator
Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini et al.
Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion
Shangqi Deng, Liang-Jian Deng, Xiao Wu et al.
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond
Zhu Liu, Jinyuan Liu, Guanyao Wu et al.
Bipolar Abstract Dialectical Frameworks Are Covered by Kleene’s Three-valued Logic
Ringo Baumann, Maximilian Heinrich