Papers
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha et al.
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
Konstantin Klemmer, Esther Rolf, Caleb Robinson et al.
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
Xing Liufu, Chaolei Tan, Xiaotong Lin et al.
Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal
Haoran Lian, Yizhe Xiong, Jianwei Niu et al.
Scalable Acceleration for Classification-Based Derivative-Free Optimization
Tianyi Han, Jingya Li, Zhipeng Guo et al.
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Franco Galante, Giovanni Neglia, Emilio Leonardi
Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization
Wei Feng, Danting Liu, Qianqian Wang et al.
Scalable Knowledge Refactoring Using Constrained Optimisation
Minghao Liu, David M. Cerna, Filipe Gouveia et al.
Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors
Yalan Qin, Guorui Feng, Xinpeng Zhang
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression
Co Tran, Quoc-Bao Tran, Hy Truong Son et al.
Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling
Feiyang Cai, Chuchu Fan, Stanley Bak
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
Hao Zhang, Wei Chen, Xingyu Zhao et al.
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
Kai Yao, Zhaorui Tan, Tiandi Ye et al.
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
Federico Julian Camerota Verdù, Lorenzo Castelli, Luca Bortolussi
Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract)
Austin L. Davis, Gita Sukthankar
Scaling Trends for Data Poisoning in LLMs
Dillon Bowen, Brendan Murphy, Will Cai et al.
SCALM: Detecting Bad Practices in Smart Contracts Through LLMs
Zongwei Li, Xiaoqi Li, Wenkai Li et al.