Papers
Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract)
Wenbo Sun, Ivona Bezáková
SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration
Mengzuo Huang, Feng Li, Wuhe Zou et al.
SAT-based Decision Tree Learning for Large Data Sets
Andre Schidler, Stefan Szeider
Satisfiability and Algorithms for Non-uniform Random k-SAT
Oleksii Omelchenko, Andrei Bulatov
Saturated Post-hoc Optimization for Classical Planning
Jendrik Seipp, Thomas Keller, Malte Helmert
Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China
Tingting Dan, Yang Li, Ziwei Zhu et al.
Scalable Affinity Propagation for Massive Datasets
Hiroaki Shiokawa
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
Chao Chen, Dongsheng Li, Junchi Yan et al.
Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances
Jingkai Chen, Jiaoyang Li, Chuchu Fan et al.
Scalable Equilibrium Computation in Multi-agent Influence Games on Networks
Fotini Christia, Michael Curry, Constantinos Daskalakis et al.
Scalable First-Order Methods for Robust MDPs
Julien Grand-Clément, Christian Kroer
Scalable Graph Networks for Particle Simulations
Karolis Martinkus, Aurelien Lucchi, Nathanaël Perraudin
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract)
Schyler C. Sun, Chen Li, Zhuangkun Wei et al.
Scalable Verification of Quantized Neural Networks
Thomas A. Henzinger, Mathias Lechner, Đorđe Žikelić
Scaling-Up Robust Gradient Descent Techniques
Matthew J. Holland
SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction
Jasmine Sekhon, Cody Fleming
Scarce Societal Resource Allocation and the Price of (Local) Justice
Quan Nguyen, Sanmay Das, Roman Garnett
Scene Graph Embeddings Using Relative Similarity Supervision
Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay
Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network
Yehao Li, Yingwei Pan, Ting Yao et al.
Scheduling of Time-Varying Workloads Using Reinforcement Learning
Shanka Subhra Mondal, Nikhil Sheoran, Subrata Mitra
SCNet: Training Inference Sample Consistency for Instance Segmentation
Thang Vu, Haeyong Kang, Chang D. Yoo
Screening for Depressed Individuals by Using Multimodal Social Media Data
Paulo Mann, Aline Paes, Elton H. Matsushima
SCRUPLES: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
Nicholas Lourie, Ronan Le Bras, Yejin Choi
SDGNN: Learning Node Representation for Signed Directed Networks
Junjie Huang, Huawei Shen, Liang Hou et al.
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation
Zhigang Li, Yinlin Hu, Mathieu Salzmann et al.