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03/01/2023
S-NeRF: Neural Radiance Fields for Street Views
Neural Radiance Fields (NeRFs) aim to synthesize novel views of objects ...
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11/10/2022
MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking
Dialogue state tracking (DST) aims to convert the dialogue history into ...
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10/11/2022
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking
Few-shot dialogue state tracking (DST) is a realistic problem that train...
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05/17/2022
POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices
We solve a fundamental challenge in semiconductor IC design: the fast an...
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12/10/2021
Federated Two-stage Learning with Sign-based Voting
Federated learning is a distributed machine learning mechanism where loc...
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06/17/2021
Towards Heterogeneous Clients with Elastic Federated Learning
Federated learning involves training machine learning models over device...
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06/29/2020
Binary Random Projections with Controllable Sparsity Patterns
Random projection is often used to project higher-dimensional vectors on...
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11/05/2019
Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations
As the first step in automated natural language processing, representing...
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10/30/2019
An Augmented Transformer Architecture for Natural Language Generation Tasks
The Transformer based neural networks have been showing significant adva...
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07/27/2019
Modeling Winner-Take-All Competition in Sparse Binary Projections
Inspired by the advances in biological science, the study of sparse bina...
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02/18/2019
