Papers
SQ Lower Bounds for Learning Mixtures of Linear Classifiers
Ilias Diakonikolas, Daniel Kane, Yuxin Sun
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
Ilias Diakonikolas, Daniel Kane, Lisheng Ren et al.
Squared Neural Families: A New Class of Tractable Density Models
Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
Zeyuan Yin, Eric P. Xing, Zhiqiang Shen
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
Adam Stewart, Nils Lehmann, Isaac Corley et al.
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
Miaoxi Zhu, Li Shen, Bo Du et al.
Stability Guarantees for Feature Attributions with Multiplicative Smoothing
Anton Xue, Rajeev Alur, Eric Wong
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
Yan Wang, Huaiqing Wu, Dan Nettleton
Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds
Taira Tsuchiya, Shinji Ito, Junya Honda
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints
Alistair White, Niki Kilbertus, Maximilian Gelbrecht et al.
Stable and low-precision training for large-scale vision-language models
Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer et al.
Stable Bias: Evaluating Societal Representations in Diffusion Models
Sasha Luccioni, Christopher Akiki, Margaret Mitchell et al.
Stable Diffusion is Unstable
Chengbin Du, Yanxi Li, Zhongwei Qiu et al.
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
Jungwuk Park, Dong-Jun Han, Jinho Kim et al.
Stable Nonconvex-Nonconcave Training via Linear Interpolation
Thomas Pethick, Wanyun Xie, Volkan Cevher
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Yonglong Tian, Lijie Fan, Phillip Isola et al.
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
David Loiseaux, Luis Scoccola, Mathieu Carrière et al.
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu et al.
Star-Shaped Denoising Diffusion Probabilistic Models
Andrey Okhotin, Dmitry Molchanov, Arkhipkin Vladimir et al.
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam et al.
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding
Devleena Das, Sonia Chernova, Been Kim
State-Action Similarity-Based Representations for Off-Policy Evaluation
Brahma Pavse, Josiah Hanna
StateMask: Explaining Deep Reinforcement Learning through State Mask
Zelei Cheng, Xian Wu, Jiahao Yu et al.
State Regularized Policy Optimization on Data with Dynamics Shift
Zhenghai Xue, Qingpeng Cai, Shuchang Liu et al.
State Sequences Prediction via Fourier Transform for Representation Learning
Mingxuan Ye, Yufei Kuang, Jie Wang et al.