William Chan

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
A graph polynomial from chromatic symmetric functions.
J. Graph Theory, April, 2024

2023
Image Super-Resolution via Iterative Refinement.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Noise2Music: Text-conditioned Music Generation with Diffusion Models.
CoRR, 2023

Novel View Synthesis with Diffusion Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

TryOnDiffusion: A Tale of Two UNets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Character-Aware Models Improve Visual Text Rendering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2022

Cascaded Diffusion Models for High Fidelity Image Generation.
J. Mach. Learn. Res., 2022

Imagen Video: High Definition Video Generation with Diffusion Models.
CoRR, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
CoRR, 2022

Palette: Image-to-Image Diffusion Models.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Video Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Learning to Efficiently Sample from Diffusion Probabilistic Models.
CoRR, 2021

SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network.
CoRR, 2021

Pushing the Limits of Non-Autoregressive Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

WaveGrad: Estimating Gradients for Waveform Generation.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Insertion-Deletion Transformer.
CoRR, 2020

Imputer: Sequence Modelling via Imputation and Dynamic Programming.
Proceedings of the 37th International Conference on Machine Learning, 2020

Specaugment on Large Scale Datasets.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Non-Autoregressive Machine Translation with Latent Alignments.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Empirical Study of Generation Order for Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
KERMIT: Generative Insertion-Based Modeling for Sequences.
CoRR, 2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.
CoRR, 2019

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.
Proceedings of the Interspeech 2019, 2019

Insertion Transformer: Flexible Sequence Generation via Insertion Operations.
Proceedings of the 36th International Conference on Machine Learning, 2019

Optimal Completion Distillation for Sequence Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Bytes Are All You Need: End-to-end Multilingual Speech Recognition and Synthesis with Bytes.
Proceedings of the IEEE International Conference on Acoustics, 2019

Big Bidirectional Insertion Representations for Documents.
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

2018
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase.
CoRR, 2018

InferLite: Simple Universal Sentence Representations from Natural Language Inference Data.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Advances in Joint CTC-Attention Based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM.
Proceedings of the Interspeech 2017, 2017

Latent Sequence Decompositions.
Proceedings of the 5th International Conference on Learning Representations, 2017

Very deep convolutional networks for end-to-end speech recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
End-to-End Speech Recognition Models.
PhD thesis, 2016

Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments.
Proceedings of the Interspeech 2016, 2016

On Online Attention-Based Speech Recognition and Joint Mandarin Character-Pinyin Training.
Proceedings of the Interspeech 2016, 2016

Listen, attend and spell: A neural network for large vocabulary conversational speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
PubMed-supported clinical term weighting approach for improving inter-patient similarity measure in diagnosis prediction.
BMC Medical Informatics Decis. Mak., 2015

Deep Recurrent Neural Networks for Acoustic Modelling.
CoRR, 2015

Listen, Attend and Spell.
CoRR, 2015

Transferring knowledge from a RNN to a DNN.
Proceedings of the INTERSPEECH 2015, 2015

Deep convolutional neural networks for acoustic modeling in low resource languages.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Distributed asynchronous optimization of convolutional neural networks.
Proceedings of the INTERSPEECH 2014, 2014

2012
Leveraging Subjective Human Annotation for Clustering Historic Newspaper Articles
CoRR, 2012

Spike timing dependent plasticity with memristive synapse in neuromorphic systems.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2006
Improving Traffic Locality in BitTorrent via Biased Neighbor Selection.
Proceedings of the 26th IEEE International Conference on Distributed Computing Systems (ICDCS 2006), 2006

2000
Parallel Unsteady Turbo-Pump Simulations For Liquid Rocket Engines.
Proceedings of the Proceedings Supercomputing 2000, 2000

Temporal-Locig Queries.
Proceedings of the Computer Aided Verification, 12th International Conference, 2000


  Loading...