Papers
Scalable Transformer for PDE Surrogate Modeling
Zijie Li, Dule Shu, Amir Barati Farimani
Scalarization for Multi-Task and Multi-Domain Learning at Scale
Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models
Roland S. Zimmermann, Thomas Klein, Wieland Brendel
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection
Zhongzhan Huang, Pan Zhou, Shuicheng Yan et al.
Scale-Space Hypernetworks for Efficient Biomedical Image Analysis
Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian Dalca
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
Zhen Liu, ma peitian, Dongliang Chen et al.
Scaling Data-Constrained Language Models
Niklas Muennighoff, Alexander Rush, Boaz Barak et al.
Scaling Laws for Hyperparameter Optimization
Arlind Kadra, Maciej Janowski, Martin Wistuba et al.
Scaling laws for language encoding models in fMRI
Richard Antonello, Aditya Vaidya, Alexander Huth
Scaling MLPs: A Tale of Inductive Bias
Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
Scaling Open-Vocabulary Object Detection
Matthias Minderer, Alexey Gritsenko, Neil Houlsby
Scaling Riemannian Diffusion Models
Aaron Lou, Minkai Xu, Adam Farris et al.
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
Edward Raff, Amol Khanna, Fred Lu
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
Yuandong Tian, Yiping Wang, Beidi Chen et al.
Scattering Vision Transformer: Spectral Mixing Matters
Badri Patro, Vijay Agneeswaran
Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion
Ethan Pronovost, Meghana Reddy Ganesina, Noureldin Hendy et al.
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
Quanyi Li, Zhenghao (Mark) Peng, Lan Feng et al.
SceneScape: Text-Driven Consistent Scene Generation
Rafail Fridman, Amit Abecasis, Yoni Kasten et al.
Schema-learning and rebinding as mechanisms of in-context learning and emergence
Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju et al.
Scientific Document Retrieval using Multi-level Aspect-based Queries
Jianyou (Andre) Wang, Kaicheng Wang, Xiaoyue Wang et al.
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
Zichang Liu, Aditya Desai, Fangshuo Liao et al.
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
Sangwoo Mo, Minkyu Kim, Kyungmin Lee et al.
Score-based Data Assimilation
François Rozet, Gilles Louppe
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces
Sungbin Lim, EUN BI YOON, Taehyun Byun et al.
Score-based Generative Models with Lévy Processes
EUN BI YOON, Keehun Park, Sungwoong Kim et al.