Papers
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Yunyue Wei, Vincent Zhuang, Saraswati Soedarmadji et al.
Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning
Lijun Zhang, Lin Li, Wei Wei et al.
Scalable DBSCAN with Random Projections
HaoChuan Xu, Ninh Pham
Scalable DP-SGD: Shuffling vs. Poisson Subsampling
Lynn Chua, Badih Ghazi, Pritish Kamath et al.
Scalable Early Childhood Reading Performance Prediction
Zhongkai Shangguan, Zanming Huang, Eshed Ohn-Bar et al.
Scalable Kernel Inverse Optimization
Youyuan Long, Tolga Ok, Pedro Zattoni Scroccaro et al.
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
Duo Zhou, Christopher Brix, Grani A Hanasusanto et al.
Scalable Optimization in the Modular Norm
Tim Large, Yang Liu, Minyoung Huh et al.
Scale Equivariant Graph Metanetworks
Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis Panagakis
Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models
Jing Wang, HaiYing Wang, Hao Helen Zhang
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers
Jiawei Fan, Chao Li, Xiaolong Liu et al.
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
Gennaro Gala, Cassio de Campos, Antonio Vergari et al.
Scaling Law for Time Series Forecasting
Jingzhe Shi, Qinwei Ma, Huan Ma et al.
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
Alexander Hägele, Elie Bakouch, Atli Kosson et al.
Scaling laws for learning with real and surrogate data
Ayush Jain, Andrea Montanari, Eren Sasoglu
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
Rafael Rafailov, Yaswanth Chittepu, Ryan Park et al.
Scaling Laws in Linear Regression: Compute, Parameters, and Data
Licong Lin, Jingfeng Wu, Sham M. Kakade et al.
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
Chaofan Tao, Qian Liu, Longxu Dou et al.
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
Lirui Wang, Xinlei Chen, Jialiang Zhao et al.
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Rulin Shao, Jacqueline He, Akari Asai et al.
Scaling Sign Language Translation
Biao Zhang, Garrett Tanzer, Orhan Firat
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%
Lei Zhu, Fangyun Wei, Yanye Lu et al.
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
Tung Nguyen, Rohan Shah, Hritik Bansal et al.
Scaling White-Box Transformers for Vision
Jinrui Yang, Xianhang Li, Druv Pai et al.
Scanning Trojaned Models Using Out-of-Distribution Samples
Hossein Mirzaei, Ali Ansari, Bahar Dibaei Nia et al.