Papers
11,955 papers found
Segmental features of Brazilian (Santa Catarina) Hunsrik
Dennis Hoffmann, Maria O'Reilly
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell, Murray Shanahan, Irina Higgins
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin SU, Jungo Kasai, Chen Henry Wu et al.
Selective Frequency Network for Image Restoration
Yuning Cui, Yi Tao, Zhenshan Bing et al.
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang, Jason Wei, Dale Schuurmans et al.
Self-Distillation for Further Pre-training of Transformers
Seanie Lee, Minki Kang, Juho Lee et al.
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Sizhe Chen, Geng Yuan, Xinwen Cheng et al.
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
Jiahui Gao, Renjie Pi, LIN Yong et al.
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian, Eshaan Nichani, Jason D. Lee
Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
Xueyi Liu, Ji Zhang, Ruizhen Hu et al.
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.