Tianchen Zhao | DeepAI

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∙ 07/17/2023

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection

Voxel-based methods have achieved state-of-the-art performance for 3D ob...

0 Tianchen Zhao, et al. ∙

∙ 08/11/2022

Scalable neural quantum states architecture for quantum chemistry

Variational optimization of neural-network representations of quantum st...

12 Tianchen Zhao, et al. ∙

∙ 07/22/2022

Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing

Variational quantum Monte Carlo (VMC) combined with neural-network quant...

0 Tianchen Zhao, et al. ∙

∙ 06/24/2021

Overcoming barriers to scalability in variational quantum Monte Carlo

The variational quantum Monte Carlo (VQMC) method received significant a...

0 Tianchen Zhao, et al. ∙

∙ 12/22/2020

Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities

Convolutional neural networks (CNNs) are vulnerable to adversarial examp...

0 Xuefei Ning, et al. ∙

∙ 12/16/2020

Learning to Recognize Patch-Wise Consistency for Deepfake Detection

We propose to detect Deepfake generated by face manipulation based on on...

3 Tianchen Zhao, et al. ∙

∙ 11/25/2020

aw_nas: A Modularized and Extensible NAS framework

Neural Architecture Search (NAS) has received extensive attention due to...

0 Xuefei Ning, et al. ∙

∙ 11/21/2020

BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures

Binary Neural Networks (BNNs) have received significant attention due to...

0 Tianchen Zhao, et al. ∙

∙ 11/20/2020

Meta Variational Monte Carlo

An identification is found between meta-learning and the problem of dete...

0 Tianchen Zhao, et al. ∙

∙ 08/07/2020

A Surgery of the Neural Architecture Evaluators

Neural architecture search (NAS) recently received extensive attention d...

14 Xuefei Ning, et al. ∙

∙ 06/04/2020

Towards Lower Bit Multiplication for Convolutional Neural Network Training

Convolutional Neural Networks (CNNs) have been widely used in many field...

12 Kai Zhong, et al. ∙

∙ 05/09/2020

Natural evolution strategies and quantum approximate optimization

A notion of quantum natural evolution strategies is introduced, which pr...

0 Tianchen Zhao, et al. ∙

∙ 04/05/2020

DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation

Budgeted pruning is the problem of pruning under resource constraints. I...

2 Xuefei Ning, et al. ∙

∙ 04/04/2020

A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

This work proposes a novel Graph-based neural ArchiTecture Encoding Sche...

6 Xuefei Ning, et al. ∙

∙ 01/25/2019

Diversity-Sensitive Conditional Generative Adversarial Networks

We propose a simple yet highly effective method that addresses the mode-...

16 Dingdong Yang, et al. ∙

∙ 03/21/2018

Information Theoretic Interpretation of Deep learning

We interpret part of the experimental results of Shwartz-Ziv and Tishby ...

0 Tianchen Zhao, et al. ∙

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