Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

299 Results

<<   <   Page 1 of 25   >   >>
Workshop
Sat 16:15 Towards Temporally Synchronized Visually Indicated Sounds Through Scale-Adapted Positional Embeddings
Xinhao Mei · Gael Le Lan · Haohe Liu · Zhaoheng Ni · Varun Nagaraja · Anurag Kumar · Yangyang Shi · Vikas Chandra
Poster
Fri 16:30 Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models
Jing Wang · HaiYing Wang · Hao Zhang
Poster
Wed 11:00 Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Sayantan Choudhury · Nazarii Tupitsa · Nicolas Loizou · Samuel Horváth · Martin Takac · Eduard Gorbunov
Workshop
Scale-consistent learning with neural operators
Zongyi Li · Samuel Lanthaler · Catherine Deng · Yixuan Wang · Kamyar Azizzadenesheli · Animashree Anandkumar
Workshop
Sun 15:30 Scaling-laws for Large Time-series Models
JUSTIN ALSING · Thomas Edwards · Benjamin Wandelt · James Alvey · Nam Nguyen
Poster
Thu 16:30 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
Bingcong Li · Liang Zhang · Niao He
Expo Talk Panel
Tue 8:30 Incentivizing Collaborative AI: A Decentralized Approach to Scaling Machine Learning
Jacob Steeves
Expo Talk Panel
Tue 8:30 AI for Autonomous Driving at Scale
Vincent Vanhoucke · Samer Shehab
Poster
Wed 16:30 CoBo: Collaborative Learning via Bilevel Optimization
Diba Hashemi · Lie He · Martin Jaggi
Poster
Wed 16:30 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
Feijie Wu · Xingchen Wang · Yaqing Wang · Tianci Liu · Lu Su · Jing Gao
Poster
Long-range Meta-path Search on Large-scale Heterogeneous Graphs
Chao Li · Zijie Guo · qiuting he · Kun He
Session
Wed 16:30 Towards a ‘Non-Universal‘ Architecture: Designing with Others through Gestures (1:1 Scale)
Ioana Drogeanu