Search Results for author: Jinan Zhou

Found 4 papers, 1 papers with code

Self-Supervised Intensity-Event Stereo Matching

no code implementations • 1 Nov 2022 • Jinjin Gu, Jinan Zhou, Ringo Sai Wo Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. Ren

Event cameras are novel bio-inspired vision sensors that output pixel-level intensity changes in microsecond accuracy with a high dynamic range and low power consumption.

Self-Supervised Learning Stereo Matching

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TemporalTeller at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection with Temporal Referencing

no code implementations • SEMEVAL 2020 • Jinan Zhou, Jiaxin Li

This paper describes our TemporalTeller system for SemEval Task 1: Unsupervised Lexical Semantic Change Detection.

Change Detection Learning Word Embeddings

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NASIB: Neural Architecture Search withIn Budget

no code implementations • 19 Oct 2019 • Abhishek Singh, Anubhav Garg, Jinan Zhou, Shiv Ram Dubey, Debo Dutta

Neural Architecture Search (NAS) represents a class of methods to generate the optimal neural network architecture and typically iterate over candidate architectures till convergence over some particular metric like validation loss.

Image Classification Neural Architecture Search

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Katib: A Distributed General AutoML Platform on Kubernetes

1 code implementation • USENIX Conference on Operational Machine Learning 2019 2019 • Jinan Zhou, Andrey Velichkevich, Kirill Prosvirov, Anubhav Garg, Yuji Oshima, Debo Dutta

Automatic Machine Learning (AutoML) is a powerful mechanism to design and tune models.

Hyperparameter Optimization Management +1

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