Papers
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.
Searching for Alignment in Face Recognition
Xiaqing Xu, Qiang Meng, Yunxiao Qin et al.
Searching for Machine Learning Pipelines Using a Context-Free Grammar
Radu Marinescu, Akihiro Kishimoto, Parikshit Ram et al.
SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract)
Ilia Sucholutsky, Matthias Schonlau
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
Ting Yao, Yiheng Zhang, Zhaofan Qiu et al.
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
Qingsong Zhang, Bin Gu, Cheng Deng et al.
Segatron: Segment-Aware Transformer for Language Modeling and Understanding
He Bai, Peng Shi, Jimmy Lin et al.
Segmentation of Tweets with URLs and its Applications to Sentiment Analysis
Abdullah Aljebreen, Weiyi Meng, Eduard Dragut
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
Yaru Hao, Li Dong, Furu Wei et al.