research
∙
06/06/2023
On Pitfalls of Test-Time Adaptation
Test-Time Adaptation (TTA) has recently emerged as a promising approach ...
share
research
∙
01/12/2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Recent years have seen a surge of interest in learning high-level causal...
research
∙
11/06/2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Deep motion forecasting models have achieved great success when trained ...
research
∙
11/29/2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Learning behavioral patterns from observational data has been a de-facto...
research
∙
12/21/2020
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Learning socially-aware motion representations is at the core of recent ...
research
∙
02/02/2019
Collaborative GAN Sampling
Generative adversarial networks (GANs) have shown great promise in gener...
research
∙
09/24/2018