Papers
Safe Partial Diagnosis from Normal Observations
Roni Stern, Brendan Juba
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair, Remi Tachet Des Combes
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments
Thiago D. Simão, Matthijs T. J. Spaan
SAGA with Arbitrary Sampling
Xun Qian, Zheng Qu, Peter Richtárik
SAGE: A Hybrid Geopolitical Event Forecasting System
Fred Morstatter, Aram Galstyan, Gleb Satyukov et al.
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines
Yuan-Ting Hu, Hong-Shuo Chen, Kexin Hui et al.
Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language
Mio Arai, Tomonori Kodaira, Mamoru Komachi
Saliency-driven Word Alignment Interpretation for Neural Machine Translation
Shuoyang Ding, Hainan Xu, Philipp Koehn
Saliency-Guided Attention Network for Image-Sentence Matching
Zhong Ji, Haoran Wang, Jungong Han et al.
Saliency Learning: Teaching the Model Where to Pay Attention
Reza Ghaeini, Xiaoli Fern, Hamed Shahbazi et al.
Salient Object Detection With Pyramid Attention and Salient Edges
Wenguan Wang, Shuyang Zhao, Jianbing Shen et al.
Salient Speech Representations Based on Cloned Networks
W. Bastiaan Kleijn, Felicia S.C. Lim, Michael Chinen et al.
Same-Cluster Querying for Overlapping Clusters
Wasim Huleihel, Arya Mazumdar, Muriel Medard et al.
Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization
Eldad Meller, Alexander Finkelstein, Uri Almog et al.
SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next
Shangwen Lv, Wanhui Qian, Longtao Huang et al.
Sample Adaptive MCMC
Michael Zhu
Sample Complexity of Learning Mixture of Sparse Linear Regressions
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor et al.
Sample complexity of partition identification using multi-armed bandits
Sandeep Juneja, Subhashini Krishnasamy
Sample Complexity of Sinkhorn Divergences
Aude Genevay, Lénaïc Chizat, Francis Bach et al.
Sample Compression for Real-Valued Learners
Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi
Sampled Softmax with Random Fourier Features
Ankit Singh Rawat, Jiecao Chen, Felix Xinnan X Yu et al.
Sample Efficient Active Learning of Causal Trees
Kristjan Greenewald, Dmitriy Katz, Karthikeyan Shanmugam et al.
Sample Efficient Adaptive Text-to-Speech
Yutian Chen, Yannis Assael, Brendan Shillingford et al.
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update
Su Young Lee, Choi Sungik, Sae-Young Chung
Sample Efficient Graph-Based Optimization with Noisy Observations
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori et al.