activity
20182022
most citedLaMDA: Language Models for Dialog Applications

708 citations · 712 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2022708 cited

LaMDA: Language Models for Dialog Applications

Romal Thoppilan, Daniel De Freitas, Jamie Hall +57

We present LaMDA: Language Models for Dialog Applications. LaMDA is a family of Transformer-based neural language models specialized for dialog, which have up to 137B parameters an…

cs.CV20214 cited

3D-MAN: 3D Multi-frame Attention Network for Object Detection

Zetong Yang, Yin Zhou, Zhifeng Chen +1

3D object detection is an important module in autonomous driving and robotics. However, many existing methods focus on using single frames to perform 3D detection, and do not fully…

cs.CV2019

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla +22

The research community has increasing interest in autonomous driving research, despite the resource intensity of obtaining representative real world data. Existing self-driving dat…

cs.CV2018

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Yanping Huang, Youlong Cheng, Ankur Bapna +8

Scaling up deep neural network capacity has been known as an effective approach to improving model quality for several different machine learning tasks. In many cases, increasing m…

cs.CL2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

Mia Xu Chen, Orhan Firat, Ankur Bapna +9

The past year has witnessed rapid advances in sequence-to-sequence (seq2seq) modeling for Machine Translation (MT). The classic RNN-based approaches to MT were first out-performed…