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04/03/2023
RePAST: Relative Pose Attention Scene Representation Transformer
The Scene Representation Transformer (SRT) is a recent method to render ...
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03/06/2023
PaLM-E: An Embodied Multimodal Language Model
Large language models excel at a wide range of complex tasks. However, e...
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02/02/2023
RobustNeRF: Ignoring Distractors with Robust Losses
Neural radiance fields (NeRF) excel at synthesizing new views given mult...
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11/25/2021
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes
We present NeSF, a method for producing 3D semantic fields from posed RG...
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11/25/2021
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
A classical problem in computer vision is to infer a 3D scene representa...
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08/17/2020
Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible
Machine learning is predicated on the concept of generalization: a model...
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08/05/2020
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
We present a learning-based method for synthesizing novel views of compl...
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04/22/2020
Trading Off Diversity and Quality in Natural Language Generation
For open-ended language generation tasks such as storytelling and dialog...
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11/02/2019
Human and Automatic Detection of Generated Text
With the advent of generative models with a billion parameters or more, ...
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10/31/2019
Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning
Task-oriented dialog presents a difficult challenge encompassing multipl...
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09/01/2019
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
A significant barrier to progress in data-driven approaches to building ...
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06/11/2019
Parallel Scheduled Sampling
Auto-regressive models are widely used in sequence generation problems. ...
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08/23/2018
The Importance of Generation Order in Language Modeling
Neural language models are a critical component of state-of-the-art syst...
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06/25/2018