Papers
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
Chia-Yu Chen, Jiamin Ni, Songtao Lu et al.
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Yimeng Min, Frederik Wenkel, Guy Wolf
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang, Yunhe Wang, Yixing Xu et al.
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
Fabian Fuchs, Daniel Worrall, Volker Fischer et al.
Searching for Low-Bit Weights in Quantized Neural Networks
Zhaohui Yang, Yunhe Wang, Kai Han et al.
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking
Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Andres Masegosa, Stephan Lorenzen, Christian Igel et al.
Secretary and Online Matching Problems with Machine Learned Advice
Antonios Antoniadis, Themis Gouleakis, Pieter Kleer et al.
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms
Pinar Ozisik, Philip S. Thomas
See, Hear, Explore: Curiosity via Audio-Visual Association
Victoria Dean, Shubham Tulsiani, Abhinav Gupta
Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs
Lin Liu, Shanxin Yuan, Jianzhuang Liu et al.
Self-Adaptive Training: beyond Empirical Risk Minimization
Lang Huang, Chao Zhang, Hongyang Zhang
Self-Distillation Amplifies Regularization in Hilbert Space
Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett
Self-Distillation as Instance-Specific Label Smoothing
Zhilu Zhang, Mert Sabuncu
Self-Learning Transformations for Improving Gaze and Head Redirection
Yufeng Zheng, Seonwook Park, Xucong Zhang et al.
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
Yixiao Ge, Feng Zhu, Dapeng Chen et al.
Self-Paced Deep Reinforcement Learning
Pascal Klink, Carlo D'Eramo, Jan R Peters et al.
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
Dasol Hwang, Jinyoung Park, Sunyoung Kwon et al.
Self-supervised Co-Training for Video Representation Learning
Tengda Han, Weidi Xie, Andrew Zisserman
Self-Supervised Few-Shot Learning on Point Clouds
Charu Sharma, Manohar Kaul
Self-Supervised Generative Adversarial Compression
Chong Yu, Jeff Pool
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Yu Rong, Yatao Bian, Tingyang Xu et al.
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel, Dhruv Mahajan, Bruno Korbar et al.