Papers
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
Chao Bian, Yawen Zhou, Miqing Li et al.
StockFormer: Learning Hybrid Trading Machines with Predictive Coding
Siyu Gao, Yunbo Wang, Xiaokang Yang
Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance
Zhuoran Lu, Zhuoyan Li, Chun-Wei Chiang et al.
Strategic Resource Selection with Homophilic Agents
Jonathan Gadea Harder, Simon Krogmann, Pascal Lenzner et al.
Strip Attention for Image Restoration
Yuning Cui, Yi Tao, Luoxi Jing et al.
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
Jie Qiao, Ruichu Cai, Siyu Wu et al.
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?
Xin Zhao, Jifeng Guo, Lin Wang et al.
Sub-Band Based Attention for Robust Polyp Segmentation
Xianyong Fang, Yuqing Shi, Qingqing Guo et al.
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf
Supporting Sustainable Agroecological Initiatives for Small Farmers through Constraint Programming
Margot Challand, Philippe Vismara, Dimitri Justeau-Allaire et al.
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract)
Charles K. Assaad, Emilie Devijver, Eric Gaussier
Survey on Online Streaming Continual Learning
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes et al.
SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability
Tong Lin, Tianliang Xu, Amit Zac et al.
SWAT: Spatial Structure Within and Among Tokens
Kumara Kahatapitiya, Michael S. Ryoo
Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems
David Klaška, Antonín Kučera, Martin Kurečka et al.
Targeting Minimal Rare Itemsets from Transaction Databases
Amel Hidouri, Badran Raddaoui, Said Jabbour
Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗
Yao Zhang, Xiuzhen Zhang, Dengji Zhao
TDG4Crowd:Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing
Yili Fang, Chaojie Shen, Huamao Gu et al.
Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG
Heng Liang, Yucheng Liu, Haichao Wang et al.
Teaching What You Should Teach: A Data-Based Distillation Method
Shitong Shao, Huanran Chen, Zhen Huang et al.
Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting
Gaoang Wang, Mingli Song
Temporal Datalog with Existential Quantification
Matthias Lanzinger, Markus Nissl, Emanuel Sallinger et al.
Temporal Knowledge Graph Completion: A Survey
Borui Cai, Yong Xiang, Longxiang Gao et al.
Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration
Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi et al.
Temporal Network Creation Games
Davide Bilò, Sarel Cohen, Tobias Friedrich et al.