Papers
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan, Niket Tandon, Prakhar Gupta et al.
Self-supervised Graph Neural Networks via Low-Rank Decomposition
Liang Yang, Runjie Shi, Qiuliang Zhang et al.
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma et al.
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Grégoire Mialon, Quentin Garrido, Hannah Lawrence et al.
Self-Supervised Motion Magnification by Backpropagating Through Optical Flow
Zhaoying Pan, Daniel Geng, Andrew Owens
Self-supervised Object-Centric Learning for Videos
Görkay Aydemir, Weidi Xie, Fatma Guney
Self-Supervised Reinforcement Learning that Transfers using Random Features
Boyuan Chen, Chuning Zhu, Pulkit Agrawal et al.
Self-supervised video pretraining yields robust and more human-aligned visual representations
Nikhil Parthasarathy, S. M. Ali Eslami, Joao Carreira et al.
Self-Supervised Visual Acoustic Matching
Arjun Somayazulu, Changan Chen, Kristen Grauman
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
Jie Xu, Shuo Chen, Yazhou Ren et al.
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Fabian Paischer, Thomas Adler, Markus Hofmarcher et al.
Semantic Image Synthesis with Unconditional Generator
JungWoo Chae, Hyunin Cho, Sooyeon Go et al.
Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination
Yuchen BAI, Jean-Baptiste Durand, Grégoire Vincent et al.
Semi-Implicit Denoising Diffusion Models (SIDDMs)
yanwu xu, Mingming Gong, Shaoan Xie et al.
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
Weihang Dai, Yao DU, Hanru Bai et al.
Semi-Supervised Domain Generalization with Known and Unknown Classes
Lei Zhang, Ji-Fu Li, Wei Wang
Sensitivity in Translation Averaging
Lalit Manam, Venu Madhav Govindu
Separable Physics-Informed Neural Networks
Junwoo Cho, Seungtae Nam, Hyunmo Yang et al.
Sequential Memory with Temporal Predictive Coding
Mufeng Tang, Helen Barron, Rafal Bogacz
Sequential Predictive Two-Sample and Independence Testing
Aleksandr Podkopaev, Aaditya Ramdas
Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback
Minyoung Hwang, Gunmin Lee, Hogun Kee et al.
Sequential Subset Matching for Dataset Distillation
JIAWEI DU, Qin Shi, Joey Tianyi Zhou
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li et al.
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
Kushin Mukherjee, Holly Huey, Xuanchen Lu et al.
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
Mathieu Even, Scott Pesme, Suriya Gunasekar et al.