Latest papers

This page serves to collect notable research papers within the past two years related to robotics and artificial intelligence. Feel free to add new papers to the list and discuss any papers on the talk page.

Recent papers

PROTIP: You can use sshleifer/distilbart-cnn-12-6 and SciTLDR to help with summarizing papers. Check the paper template for usage instructions.

August 2021

Computer vision

NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis (arXiv:2108.03880)

tl;dr Multi-view stereo is a core task in 3D computer vision. NeRF methods do not generalize to novel scenes and are slow to train and test. We propose to bridge the gap between these two methodologies with a novel network that can recover 3D scene geometry as a distance function.

June 2021

Multimodal learning

Multimodal Few-Shot Learning with Frozen Language Models (arXiv:2106.13884)

tl;dr When trained at sufficient scale, auto-regressive language models exhibit the notable ability to learn a new language task after being prompted with just a few examples. Here, the authors present a simple, yet effective, approach for transferring this few-shot learning ability to a multimodal setting (vision and language).

Optimizers

A Generalizable Approach to Learning Optimizers (arXiv:2106.00958)

tl;dr Learning to update optimizer hyperparameters instead of model parameters directly using novel features, actions, and a reward function.

October 2020

Computer vision

GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering (arXiv:2010.04595)

tl;dr General Radiance Fields construct an internal representation for each 3D point of a scene from 2D inputs and renders the corresponding appearance and geometry of any 3D scene viewing from an arbitrary angle.

September 2020

Summarization

Learning to Summarize with Human Feedback (arXiv:2009.01325)

tl;dr Human feedback models outperform much larger supervised models and reference summaries on TL;DR.

Older papers

• List of 2018 papers