Search Results for author: Ching-Yun Ko

Found 12 papers, 4 papers with code

Visual Pre-training for Navigation: What Can We Learn from Noise?

1 code implementation30 Jun 2022 Yanwei Wang, Ching-Yun Ko

We hypothesize a sufficient representation of the current view and the goal view for a navigation policy can be learned by predicting the location and size of a crop of the current view that corresponds to the goal.

Inductive Bias Navigate +1

Higher-Order Certification for Randomized Smoothing

no code implementations NeurIPS 2020 Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

We also provide a framework that generalizes the calculation for certification using higher-order information.

Hidden Cost of Randomized Smoothing

no code implementations2 Mar 2020 Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei, Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel

The fragility of modern machine learning models has drawn a considerable amount of attention from both academia and the public.

HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression

no code implementations28 Feb 2020 Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong

The emerging edge computing has promoted immense interests in compacting a neural network without sacrificing much accuracy.

Edge-computing Tensor Decomposition

Fastened CROWN: Tightened Neural Network Robustness Certificates

1 code implementation2 Dec 2019 Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel

We draw inspiration from such work and further demonstrate the optimality of deterministic CROWN (Zhang et al. 2018) solutions in a given linear programming problem under mild constraints.

POPQORN: Quantifying Robustness of Recurrent Neural Networks

2 code implementations17 May 2019 Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin

The vulnerability to adversarial attacks has been a critical issue for deep neural networks.

MiSC: Mixed Strategies Crowdsourcing

no code implementations17 May 2019 Ching-Yun Ko, Rui Lin, Shu Li, Ngai Wong

Popular crowdsourcing techniques mostly focus on evaluating workers' labeling quality before adjusting their weights during label aggregation.

Matrix Product Operator Restricted Boltzmann Machines

no code implementations12 Nov 2018 Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong

This work presents the matrix product operator RBM (MPORBM) that utilizes a tensor network generalization of Mv/TvRBM, preserves input formats in both the visible and hidden layers, and results in higher expressive power.

Denoising Dimensionality Reduction +1

Deep Compression of Sum-Product Networks on Tensor Networks

no code implementations9 Nov 2018 Ching-Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong

Sum-product networks (SPNs) represent an emerging class of neural networks with clear probabilistic semantics and superior inference speed over graphical models.

Tensor Networks

A Support Tensor Train Machine

no code implementations17 Apr 2018 Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong

There has been growing interest in extending traditional vector-based machine learning techniques to their tensor forms.

BIG-bench Machine Learning

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