Search Results for author: Daniel Duckworth

Found 14 papers, 6 papers with code

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations

no code implementations25 Nov 2021 Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas Funkhouser, Andrea Tagliasacchi

In this work, we propose the Scene Representation Transformer (SRT), a method which processes posed or unposed RGB images of a new area, infers a "set-latent scene representation", and synthesises novel views, all in a single feed-forward pass.

Novel View Synthesis Semantic Segmentation

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

1 code implementation CVPR 2021 Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth

We present a learning-based method for synthesizing novel views of complex scenes using only unstructured collections of in-the-wild photographs.

Trading Off Diversity and Quality in Natural Language Generation

no code implementations EACL (HumEval) 2021 Hugh Zhang, Daniel Duckworth, Daphne Ippolito, Arvind Neelakantan

For open-ended language generation tasks such as storytelling and dialogue, choosing the right decoding algorithm is critical to controlling the tradeoff between generation quality and diversity.

Text Generation

Invertible Convolutional Flow

1 code implementation NeurIPS 2019 Mahdi Karami, Dale Schuurmans, Jascha Sohl-Dickstein, Laurent Dinh, Daniel Duckworth

We show that these transforms allow more effective normalizing flow models to be developed for generative image models.

Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning

1 code implementation31 Oct 2019 Arvind Neelakantan, Semih Yavuz, Sharan Narang, Vishaal Prasad, Ben Goodrich, Daniel Duckworth, Chinnadhurai Sankar, Xifeng Yan

In this paper, we develop Neural Assistant: a single neural network model that takes conversation history and an external knowledge source as input and jointly produces both text response and action to be taken by the system as output.

Response Generation Text Generation

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset

1 code implementation IJCNLP 2019 Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Daniel Duckworth, Semih Yavuz, Ben Goodrich, Amit Dubey, Andy Cedilnik, Kyu-Young Kim

A significant barrier to progress in data-driven approaches to building dialog systems is the lack of high quality, goal-oriented conversational data.

Parallel Scheduled Sampling

no code implementations11 Jun 2019 Daniel Duckworth, Arvind Neelakantan, Ben Goodrich, Lukasz Kaiser, Samy Bengio

Experimentally, we find the proposed technique leads to equivalent or better performance on image generation, summarization, dialog generation, and translation compared to teacher-forced training.

Image Generation Response Generation

The Importance of Generation Order in Language Modeling

no code implementations EMNLP 2018 Nicolas Ford, Daniel Duckworth, Mohammad Norouzi, George E. Dahl

Neural language models are a critical component of state-of-the-art systems for machine translation, summarization, audio transcription, and other tasks.

Language Modelling Machine Translation +1

Stochastic natural gradient descent draws posterior samples in function space

no code implementations25 Jun 2018 Samuel L. Smith, Daniel Duckworth, Semon Rezchikov, Quoc V. Le, Jascha Sohl-Dickstein

Recent work has argued that stochastic gradient descent can approximate the Bayesian uncertainty in model parameters near local minima.

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