Papers
11,015 papers found
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie et al.
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
Xiuyuan Cheng, Qiang Qiu, Robert Calderbank et al.
Sample Efficient Adaptive Text-to-Speech
Yutian Chen, Yannis Assael, Brendan Shillingford et al.
Sample Efficient Imitation Learning for Continuous Control
Fumihiro Sasaki, Tetsuya Yohira, Atsuo Kawaguchi
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks
Karren D. Yang, Caroline Uhler
Selfless Sequential Learning
Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu et al.
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
Matthew Mackay, Paul Vicol, Jonathan Lorraine et al.
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
Yi Zhou, Junjie Yang, Huishuai Zhang et al.
signSGD via Zeroth-Order Oracle
Sijia Liu, Pin-Yu Chen, Xiangyi Chen et al.
signSGD with Majority Vote is Communication Efficient and Fault Tolerant
Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli et al.
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramer, Dan Boneh
Sliced Wasserstein Auto-Encoders
Soheil Kolouri, Phillip E. Pope, Charles E. Martin et al.
Slimmable Neural Networks
Jiahui Yu, Linjie Yang, Ning Xu et al.
Small nonlinearities in activation functions create bad local minima in neural networks
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Smoothing the Geometry of Probabilistic Box Embeddings
Xiang Li, Luke Vilnis, Dongxu Zhang et al.
SNAS: stochastic neural architecture search
Sirui Xie, Hehui Zheng, Chunxiao Liu et al.
SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
Namhoon Lee, Thalaiyasingam Ajanthan, Philip Torr
Soft Q-Learning with Mutual-Information Regularization
Jordi Grau-Moya, Felix Leibfried, Peter Vrancx
Solving the Rubik's Cube with Approximate Policy Iteration
Stephen McAleer, Forest Agostinelli, Alexander Shmakov et al.
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin, Matthias Hüser, Francesco Locatello et al.
Sparse Dictionary Learning by Dynamical Neural Networks
Tsung-Han Lin, Ping Tak Peter Tang
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau, Stig Petersen, Ashish Agarwal et al.
Spherical CNNs on Unstructured Grids
Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath et al.
SPIGAN: Privileged Adversarial Learning from Simulation
Kuan-Hui Lee, German Ros, Jie Li et al.