Papers
11,951 papers found
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
Sparse Multivariate Bernoulli Processes in High Dimensions
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash Amini et al.
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.
Spreading vectors for similarity search
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid et al.
Stable Opponent Shaping in Differentiable Games
Alistair Letcher, Jakob Foerster, David Balduzzi et al.
Stable Recurrent Models
John Miller, Moritz Hardt
STCN: Stochastic Temporal Convolutional Networks
Emre Aksan, Otmar Hilliges
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
Amin Karbasi, Hamed Hassani, Aryan Mokhtari et al.
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
Navid Azizan, Babak Hassibi
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Aditya Grover, Eric Wang, Aaron Zweig et al.
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
Chen Sun, Per Karlsson, Jiajun Wu et al.
StrokeNet: A Neural Painting Environment
Ningyuan Zheng, Yifan Jiang, Dingjiang Huang
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu, Sijia Liu, Pu Zhao et al.
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks
Dina Obeid, Hugo Ramambason, Cengiz Pehlevan