Papers
11,015 papers found
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild
Kaifeng Zhang, Yang Fu, Shubhankar Borse et al.
Self-supervised learning with rotation-invariant kernels
Léon Zheng, Gilles Puy, Elisa Riccietti et al.
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
Dong Bok Lee, Seanie Lee, Kenji Kawaguchi et al.
Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
Tianyu Hua, Yonglong Tian, Sucheng Ren et al.
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Lorenz Kuhn, Yarin Gal, Sebastian Farquhar
Semi-Implicit Variational Inference via Score Matching
Longlin Yu, Cheng Zhang
Semi-Parametric Inducing Point Networks and Neural Processes
Richa Rastogi, Yair Schiff, Alon Hacohen et al.
Semi-supervised Community Detection via Structural Similarity Metrics
Yicong Jiang, Tracy Ke
Semi-supervised learning with a principled likelihood from a generative model of data curation
Stoil Krasimirov Ganev, Laurence Aitchison
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
Matko Bošnjak, Pierre Harvey Richemond, Nenad Tomasev et al.
Sequential Attention for Feature Selection
Taisuke Yasuda, Mohammadhossein Bateni, Lin Chen et al.
Sequential Gradient Coding For Straggler Mitigation
Nikhil Krishnan Muralee Krishnan, MohammadReza Ebrahimi, Ashish J Khisti
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
Xiajun Jiang, Ryan Missel, Zhiyuan Li et al.
Sequential Learning of Neural Networks for Prequential MDL
Jorg Bornschein, Yazhe Li, Marcus Hutter
Serving Graph Compression for Graph Neural Networks
Si Si, Felix Yu, Ankit Singh Rawat et al.
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
Hanseul Cho, Chulhee Yun
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
Zebang Shen, Jiayuan Ye, Anmin Kang et al.
Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process
Shi Fu, Yunwen Lei, Qiong Cao et al.
Short-Term Memory Convolutions
Grzegorz Stefański, Krzysztof Arendt, Paweł Daniluk et al.
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
Derek Lim, Joshua David Robinson, Lingxiao Zhao et al.
SimPer: Simple Self-Supervised Learning of Periodic Targets
Yuzhe Yang, Xin Liu, Jiang Wu et al.
SIMPLE: A Gradient Estimator for k-Subset Sampling
Kareem Ahmed, Zhe Zeng, Mathias Niepert et al.
Simple and Scalable Nearest Neighbor Machine Translation
Yuhan Dai, Zhirui Zhang, Qiuzhi Liu et al.
Simple Emergent Action Representations from Multi-Task Policy Training
Pu Hua, Yubei Chen, Huazhe Xu
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
Filipe de Avila Belbute-Peres, J Zico Kolter