Papers
11,015 papers found
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
Yulun Wu, Nicholas Choma, Andrew Deru Chen et al.
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
Yandong Wen, Weiyang Liu, Adrian Weller et al.
Spherical Message Passing for 3D Molecular Graphs
Yi Liu, Limei Wang, Meng Liu et al.
Spike-inspired rank coding for fast and accurate recurrent neural networks
Alan Jeffares, Qinghai Guo, Pontus Stenetorp et al.
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
Wenyong Huang, Zhenhe Zhang, Yu Ting Yeung et al.
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation
Junhyun Nam, Jaehyung Kim, Jaeho Lee et al.
Sqrt(d) Dimension Dependence of Langevin Monte Carlo
Ruilin Li, Hongyuan Zha, Molei Tao
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo, Yuxian Qiu, Jingwen Leng et al.
Stability Regularization for Discrete Representation Learning
Adeel Pervez, Efstratios Gavves
Steerable Partial Differential Operators for Equivariant Neural Networks
Erik Jenner, Maurice Weiler
Stein Latent Optimization for Generative Adversarial Networks
Uiwon Hwang, Heeseung Kim, Dahuin Jung et al.
Step-unrolled Denoising Autoencoders for Text Generation
Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski et al.
Stiffness-aware neural network for learning Hamiltonian systems
SENWEI Liang, Zhongzhan Huang, Hong Zhang
Stochastic Training is Not Necessary for Generalization
Jonas Geiping, Micah Goldblum, Phil Pope et al.
Strength of Minibatch Noise in SGD
Liu Ziyin, Kangqiao Liu, Takashi Mori et al.
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning
Sunghoon Hong, Deunsol Yoon, Kee-Eung Kim
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Zongze Wu, Yotam Nitzan, Eli Shechtman et al.
StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis
Jiatao Gu, Lingjie Liu, Peng Wang et al.
Subspace Regularizers for Few-Shot Class Incremental Learning
Afra Feyza Akyürek, Ekin Akyürek, Derry Wijaya et al.
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search
Hyeonmin Ha, Ji-Hoon Kim, Semin Park et al.
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
Jingchao Ni, Wei Cheng, Zhengzhang Chen et al.
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Yangguang Li, Feng Liang, Lichen Zhao et al.
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
Jongjin Park, Younggyo Seo, Jinwoo Shin et al.
Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns
Zhijian Yang, Junhao Wen, Christos Davatzikos
Surrogate Gap Minimization Improves Sharpness-Aware Training
Juntang Zhuang, Boqing Gong, Liangzhe Yuan et al.