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Poster
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Wed 16:30 |
Scaling Up Exact Neural Network Compression by ReLU Stability Thiago Serra · Xin Yu · Abhinav Kumar · Srikumar Ramalingam |
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Poster
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Wed 16:30 |
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation Divyansh Jhunjhunwala · Ankur Mallick · Advait Gadhikar · Swanand Kadhe · Gauri Joshi |
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Poster
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Thu 8:30 |
Circa: Stochastic ReLUs for Private Deep Learning Zahra Ghodsi · Nandan Kumar Jha · Brandon Reagen · Siddharth Garg |
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Poster
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Thu 0:30 |
Sparse Spiking Gradient Descent Nicolas Perez-Nieves · Dan Goodman |
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Poster
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Wed 0:30 |
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry Andi Han · Bamdev Mishra · Pratik Kumar Jawanpuria · Junbin Gao |
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Poster
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Thu 0:30 |
Subquadratic Overparameterization for Shallow Neural Networks ChaeHwan Song · Ali Ramezani-Kebrya · Thomas Pethick · Armin Eftekhari · Volkan Cevher |
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Poster
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Thu 0:30 |
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks Jesse Hagenaars · Federico Paredes-Valles · Guido de Croon |
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Poster
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Fri 8:30 |
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations Jonas Zehnder · Yue Li · Stelian Coros · Bernhard Thomaszewski |
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Poster
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Wed 0:30 |
On Joint Learning for Solving Placement and Routing in Chip Design Ruoyu Cheng · Junchi Yan |
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Workshop
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DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization Boyue Li · Zhize Li · Yuejie Chi |
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Poster
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Tue 8:30 |
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives Qi Qi · Zhishuai Guo · Yi Xu · Rong Jin · Tianbao Yang |
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Poster
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Wed 0:30 |
Optimizing Conditional Value-At-Risk of Black-Box Functions Quoc Phong Nguyen · Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet |