|
Workshop
|
Thu 8:00
|
Scaling laws for deep neural networks: driving theory and understanding through experimental insights
Yasaman Bahri
|
|
|
Poster
|
|
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
SungYub Kim · Sihwan Park · Kyungsu Kim · Eunho Yang
|
|
|
Workshop
|
Thu 6:00
|
Invited Talk (Yasaman Bahri): Understanding Neural Scaling Laws
Yasaman Bahri
|
|
|
Poster
|
Wed 2:30
|
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
Takashi Matsubara · Takaharu Yaguchi
|
|
|
Workshop
|
Fri 7:30
|
Panel: Role of Sparsity on Scaling of Neural Networks
|
|
|
Poster
|
Mon 7:30
|
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han · Tong Zhao · Yozen Liu · Xia Hu · Neil Shah
|
|
|
Poster
|
Mon 2:30
|
Broken Neural Scaling Laws
Ethan Caballero · Kshitij Gupta · Irina Rish · David Krueger
|
|
|
Workshop
|
Thu 4:00
|
Broken Neural Scaling Laws
Ethan Caballero · Kshitij Gupta · Irina Rish · David Krueger
|
|
|
Poster
|
|
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Yewen Fan · Nian Si · Kun Zhang
|
|
|
Poster
|
Wed 7:30
|
Scaling Laws for a Multi-Agent Reinforcement Learning Model
Oren Neumann · Claudius Gros
|
|
|
Poster
|
Wed 7:30
|
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
Shiwei Liu · Tianlong Chen · Xiaohan Chen · Xuxi Chen · Qiao Xiao · Boqian Wu · Tommi Kärkkäinen · Mykola Pechenizkiy · Decebal Constantin Mocanu · Zhangyang Wang
|
|
|
Poster
|
Wed 7:30
|
Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields
Zhenxing Mi · Dan Xu
|
|
