All Papers

Stable Model Semantics for Description Logic Terminologies

Federica Di Stefano, Mantas Simkus

Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation

Dong Zhao, Shuang Wang, Qi Zang et al.

Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data

YongKyung Oh, Dongyoung Lim, Sungil Kim

Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis

Hanting Li, Hongjing Niu, Feng Zhao

StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization

Shida Wang, Qianxiao Li

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise

Yixin Liu, Kaidi Xu, Xun Chen et al.

Stable Video Portraits

Mirela Ostrek, Justus Thies

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On

Jeongho Kim, Gyojung Gu, Minho Park et al.

Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns

Brian DuSell, David Chiang

Stacking Deep Set Networks and Pooling by Quantiles

Zhuojun Chen, Xinghua Zhu, Dongzhe Su et al.

StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation

Weike Fang, Zhejian Zhou, Junzhou He et al.

STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians

Yifei Zeng, Yanqin Jiang, Siyu Zhu et al.

STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay

Yu Yongcan, Lijun Sheng, Ran He et al.

Standardized Interpretable Fairness Measures for Continuous Risk Scores

Ann-Kristin Becker, Oana Dumitrasc, Klaus Broelemann

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction

Yu-Hsuan Wu, Jerry Hu, Weijian Li et al.

STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models

Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung et al.

STARC: A General Framework For Quantifying Differences Between Reward Functions

Joar Skalse, Lucy Farnik, Sumeet Motwani et al.

STAS: Spatial-Temporal Return Decomposition for Multi-Agent Reinforcement Learning

Sirui Chen, Zhaowei Zhang, Yaodong Yang et al.

State-Constrained Zero-Sum Differential Games with One-Sided Information

Mukesh Ghimire, Lei Zhang, Zhe Xu et al.

State-Free Inference of State-Space Models: The *Transfer Function* Approach

Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro et al.

State Representation Learning Using an Unbalanced Atlas

Li Meng, Morten Goodwin, Anis Yazidi et al.

State Space Models for Event Cameras

Nikola Zubic, Mathias Gehrig, Davide Scaramuzza

Statewide Visual Geolocalization in the Wild

Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner et al.

Stationarity without mean reversion in improper Gaussian processes

Luca Ambrogioni

Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation

Jae-Hong Lee, Joon Hyuk Chang

Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements

Niccolò Biondi, Federico Pernici, Simone Ricci et al.

Statistical Inference Under Constrained Selection Bias

Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Miguel Patiño et al.

Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming

Yubo Zhuang, Xiaohui Chen, Yun Yang et al.

Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution

Elen Vardanyan, Sona Hunanyan, Tigran Galstyan et al.

Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts

Huy Nguyen, Pedram Akbarian Saravi, Fanqi Yan et al.

Statistical Properties of Robust Satisficing

zhiyi li, Yunbei Xu, Ruohan Zhan

Statistical Rejection Sampling Improves Preference Optimization

Tianqi Liu, Yao Zhao, Rishabh Joshi et al.

Statistical Spatially Inhomogeneous Diffusion Inference

Yinuo Ren, Yiping Lu, Lexing Ying et al.

Statistical Test for Attention Maps in Vision Transformers

Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka et al.

Stay on Topic with Classifier-Free Guidance

Guillaume Sanchez, Alexander Spangher, Honglu Fan et al.

STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction

Xi Ye, Guillaume-Alexandre Bilodeau

Stealing part of a production language model

Nicholas Carlini, Daniel Paleka, Krishnamurthy Dvijotham et al.

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits

Zhiwei Wang, Hongning Wang, Huazheng Wang

Stealthy Imitation: Reward-guided Environment-free Policy Stealing

Zhixiong Zhuang, Irina Nicolae, Mario Fritz

STEER: Assessing the Economic Rationality of Large Language Models

Narun Raman, Taylor Lundy, Samuel Joseph Amouyal et al.

Steerers: A Framework for Rotation Equivariant Keypoint Descriptors

Georg Bökman, Johan Edstedt, Michael Felsberg et al.

Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining

Qi Cui, Ruohan Meng, Chaohui Xu et al.

StegaStyleGAN: Towards Generic and Practical Generative Image Steganography

Wenkang Su, Jiangqun Ni, Yiyan Sun

StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography

Xiao Ke, Huanqi Wu, Wenzhong Guo

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation

Sidi Wu, Yizi Chen, Loic Landrieu et al.

STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment

Jaewoo Lee, Jaehong Yoon, Wonjae Kim et al.

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation

Liangcai Su, Junwei Pan, Ximei Wang et al.

Step Differences in Instructional Video

Tushar Nagarajan, Lorenzo Torresani

Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation

Juncheng Ma, Peiwen Sun, Yaoting Wang et al.