Scaling Motion Forecasting Models with Ensemble Distillation

5 April 2024

Papers citing "Scaling Motion Forecasting Models with Ensemble Distillation"

6 / 6 papers shown

Title
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation Sanghyun Son L. Zheng Brian Clipp Connor Greenwell Sujin Philip Ming-Chyuan Lin 85 0 0 21 Dec 2024
Annealed Winner-Takes-All for Motion Forecasting Yihong Xu Victor Letzelter Mickaël Chen Éloi Zablocki Matthieu Cord 134 1 0 17 Sep 2024
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 149 532 0 20 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 163 365 0 20 Jan 2021
What-If Motion Prediction for Autonomous Driving Siddhesh Khandelwal William Qi Jagjeet Singh Andrew Hartnett Deva Ramanan 124 115 0 24 Aug 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 258 4,489 0 23 Jan 2020