Papers
SafeWorld: Geo-Diverse Safety Alignment
Da Yin, Haoyi Qiu, Kung-Hsiang Huang et al.
Saliency-driven Experience Replay for Continual Learning
Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi et al.
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
Qi Bi, Jingjun Yi, Hao Zheng et al.
SAM-Guided Masked Token Prediction for 3D Scene Understanding
Zhimin Chen, Liang Yang, Yingwei Li et al.
SAMPa: Sharpness-aware Minimization Parallelized
Wanyun Xie, Thomas Pethick, Volkan Cevher
SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification
Yanxin Yang, Chentao Jia, DengKe Yan et al.
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas et al.
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
Hongyu Cheng, Sammy Khalife, Barbara Fiedorowicz et al.
Sample Complexity of Interventional Causal Representation Learning
Emre Acartürk, Burak Varıcı, Karthikeyan Shanmugam et al.
Sample Complexity of Posted Pricing for a Single Item
Billy Jin, Thomas Kesselheim, Will Ma et al.
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
Adhyyan Narang, Andrew Wagenmaker, Lillian J. Ratliff et al.
Sample-Efficient Agnostic Boosting
Udaya Ghai, Karan Singh
Sample Efficient Bayesian Learning of Causal Graphs from Interventions
Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
Sample-efficient Bayesian Optimisation Using Known Invariances
Theodore Brown, Alexandru Cioba, Ilija Bogunovic
Sample-Efficient Constrained Reinforcement Learning with General Parameterization
Washim Uddin Mondal, Vaneet Aggarwal
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization
Ipsita Ghosh, Abiy Tasissa, Christian Kümmerle
Sample-Efficient Private Learning of Mixtures of Gaussians
Hassan Ashtiani, Mahbod Majid, Shyam Narayanan
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Chris Dongjoo Kim, Sangwoo Moon, Jihwan Moon et al.
SAND: Smooth imputation of sparse and noisy functional data with Transformer networks
Ju-Sheng Hong, Junwen Yao, Jonas Mueller et al.
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series
Zhihao Dai, Ligang He, Shuang-Hua Yang et al.
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection
Yuxuan Li, Xiang Li, Weijie Li et al.
Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks
Liang Qin, Xiyuan Liu, Wenting Wei et al.
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
Pierre Colombo, Telmo Pires, Malik Boudiaf et al.
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold, Sergey Samsonov, Safwan Labbi et al.
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
Yao Lai, Jinxin Liu, David Z. Pan et al.