Papers
11,015 papers found
Semantic Re-tuning with Contrastive Tension
Fredrik Carlsson, Amaru Cuba Gyllensten, Evangelia Gogoulou et al.
Semi-supervised Keypoint Localization
Olga Moskvyak, Frederic Maire, Feras Dayoub et al.
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
Mikhail Yurochkin, Yuekai Sun
Separation and Concentration in Deep Networks
John Zarka, Florentin Guth, Stéphane Mallat
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
Csaba Toth, Patric Bonnier, Harald Oberhauser
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
Akinori F Ebihara, Taiki Miyagawa, Kazuyuki Sakurai et al.
Set Prediction without Imposing Structure as Conditional Density Estimation
David W Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
Shape or Texture: Understanding Discriminative Features in CNNs
Md Amirul Islam, Matthew Kowal, Patrick Esser et al.
Shape-Texture Debiased Neural Network Training
Yingwei Li, Qihang Yu, Mingxing Tan et al.
Shapley explainability on the data manifold
Christopher Frye, Damien de Mijolla, Tom Begley et al.
Shapley Explanation Networks
Rui Wang, Xiaoqian Wang, David I. Inouye
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
Biao Zhang, Ankur Bapna, Rico Sennrich et al.
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions
Yunwen Lei, Yiming Ying
Sharpness-aware Minimization for Efficiently Improving Generalization
Pierre Foret, Ariel Kleiner, Hossein Mobahi et al.
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
Patrick Kidger, Terry Lyons
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization
Lin Ning, Guoyang Chen, Weifeng Zhang et al.
Simple Spectral Graph Convolution
Hao Zhu, Piotr Koniusz
Single-Photon Image Classification
Thomas Fischbacher, Luciano Sbaiz
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy
Zuyue Fu, Zhuoran Yang, Zhaoran Wang
SkipW: Resource Adaptable RNN with Strict Upper Computational Limit
Tsiry Mayet, Anne Lambert, Pascal Leguyadec et al.
Sliced Kernelized Stein Discrepancy
Wenbo Gong, Yingzhen Li, José Miguel Hernández-Lobato
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
Glen Berseth, Daniel Geng, Coline Manon Devin et al.
SOLAR: Sparse Orthogonal Learned and Random Embeddings
Tharun Medini, Beidi Chen, Anshumali Shrivastava
Solving Compositional Reinforcement Learning Problems via Task Reduction
Yunfei Li, Yilin Wu, Huazhe Xu et al.
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Joshua C Chang, Patrick Fletcher, Jungmin Han et al.