All Papers

SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling

Juhee Lee, Jewon Kang

SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification

Yehui Tang, Nianzu Yang, Mabiao Long et al.

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning

Mengxin Zheng, Jiaqi Xue, Zihao Wang et al.

SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation

Yuxuan Zhang, Yiren Song, Jiaming Liu et al.

Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations

Xiaokang Pan, Xingyu Li, Jin Liu et al.

Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms

Ming Yang, Xiyuan Wei, Tianbao Yang et al.

Stability and Multigroup Fairness in Ranking with Uncertain Predictions

Siddartha Devic, Aleksandra Korolova, David Kempe et al.

Stability Evaluation through Distributional Perturbation Analysis

Jose Blanchet, Peng Cui, Jiajin Li et al.

Stability-Informed Initialization of Neural Ordinary Differential Equations

Theodor Westny, Arman Mohammadi, Daniel Jung et al.

Stability in Online Coalition Formation

Authors: Martin Bullinger, René Romen

Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos

Aamal Hussain, Francesco Belardinelli

Stabilizing Backpropagation Through Time to Learn Complex Physics

Patrick Schnell, Nils Thuerey

Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data

Chongyi Zheng, Benjamin Eysenbach, Homer Walke et al.

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process

Xiangxin Zhou, Liang Wang, Yichi Zhou

Stable Anisotropic Regularization

William Rudman, Carsten Eickhoff

Stable Differentiable Causal Discovery

Achille Nazaret, Justin Hong, Elham Azizi et al.

StableDrag: Stable Dragging for Point-based Image Editing

Yutao Cui, Xiaotong Zhao, Guozhen Zhang et al.

StableMask: Refining Causal Masking in Decoder-only Transformer

Qingyu Yin, Xuzheng He, Xiang Zhuang et al.

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