research
∙
07/11/2023
Objaverse-XL: A Universe of 10M+ 3D Objects
Natural language processing and 2D vision models have attained remarkabl...
share
research
∙
05/31/2023
Bytes Are All You Need: Transformers Operating Directly On File Bytes
Modern deep learning approaches usually transform inputs into a modality...
research
∙
04/27/2023
DataComp: In search of the next generation of multimodal datasets
Large multimodal datasets have been instrumental in recent breakthroughs...
research
∙
03/15/2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
We propose Dataset Reinforcement, a strategy to improve a dataset once s...
research
∙
12/15/2022
Objaverse: A Universe of Annotated 3D Objects
Massive data corpora like WebText, Wikipedia, Conceptual Captions, WebIm...
research
∙
09/23/2022
Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance
Collision avoidance is key for mobile robots and agents to operate safel...
research
∙
06/14/2022
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Massive datasets and high-capacity models have driven many recent advanc...
research
∙
03/10/2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
The conventional recipe for maximizing model accuracy is to (1) train mu...
research
∙
12/01/2021
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Communicating with humans is challenging for AIs because it requires a s...
research
∙
09/04/2021
Robust fine-tuning of zero-shot models
Large pre-trained models such as CLIP offer consistent accuracy across a...
research
∙
07/07/2021
LanguageRefer: Spatial-Language Model for 3D Visual Grounding
To realize robots that can understand human instructions and perform mea...
research
∙
02/15/2020
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
Fine-tuning pretrained contextual word embedding models to supervised do...
research
∙
11/29/2019
What's Hidden in a Randomly Weighted Neural Network?
Training a neural network is synonymous with learning the values of the ...
research
∙
04/25/2018
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos
In Actor and Observer we introduced a dataset linking the first and thir...
research
∙
04/20/2018
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
The current trend of extractive question answering (QA) heavily relies o...
research
∙
04/08/2018
YOLOv3: An Incremental Improvement
We present some updates to YOLO! We made a bunch of little design change...
research
∙
12/14/2017
AI2-THOR: An Interactive 3D Environment for Visual AI
We introduce The House Of inteRactions (THOR), a framework for visual AI...
research
∙
07/25/2016
Much Ado About Time: Exhaustive Annotation of Temporal Data
Large-scale annotated datasets allow AI systems to learn from and build ...
research
∙
04/13/2016
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
As 3D movie viewing becomes mainstream and Virtual Reality (VR) market e...
research
∙
06/08/2015
