You Look Twice: GaterNet for Dynamic Filter Selection in CNNs

Zhourong Chen, Yang Li, Samy Bengio +1

Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks

Patrick H. Chen, Si Si, Sanjiv Kumar +2

Kernel Ridge Regression via Partitioning

Rashish Tandon, Si Si, Pradeep Ravikumar +1

GPU-acceleration for Large-scale Tree Boosting

Huan Zhang, Si Si, Cho-Jui Hsieh

Nonlinear Online Learning with Adaptive Nyström Approximation

Si Si, Sanjiv Kumar, Yang Li

Communication-Efficient Parallel Block Minimization for Kernel Machines

Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon

Multi-Scale Link Prediction

Donghyuk Shin, Si Si, Inderjit S. Dhillon

A Divide-and-Conquer Solver for Kernel Support Vector Machines

Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon

GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking

Patrick H. Chen, Si Si, Yang Li +2

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Wei-Lin Chiang, Xuanqing Liu, Si Si +3

The paper introduces Cluster-GCN, a training method that leverages graph clustering to sample dense subgraphs, enabling efficient and memory‑light training of deep and large graph…

Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise

Xuanqing Liu, Tesi Xiao, Si Si +3