no code implementations • 8 Mar 2024 • Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska
Retrieval-augmented generation (RAG) can enhance the generation quality of large language models (LLMs) by incorporating external token databases.
no code implementations • NeurIPS 2021 • Hilaf Hasson, Bernie Wang, Tim Januschowski, Jan Gasthaus
By recognizing the connection of our algorithm to random forests (RFs) and quantile regression forests (QRFs), we are able to prove consistency guarantees of our approach under mild assumptions on the underlying point estimator.
no code implementations • NeurIPS Workshop ICBINB 2021 • Ke Alexander Wang, Danielle C. Maddix, Bernie Wang
We consider the problem of probabilistic forecasting over categories with graph structure, where the dynamics at a vertex depends on its local connectivity structure.
no code implementations • 10 Mar 2021 • Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu
To address this, we propose a novel self-supervised learning task, which we named Trajectory Contrastive Learning (TCL), to improve meta-training.
no code implementations • 1 Jan 2021 • Hao Wang, Yifei Ma, Hao Ding, Bernie Wang
Recurrent neural networks have proven effective in modeling sequential user feedbacks for recommender systems.
2 code implementations • 19 Apr 2019 • Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer
2) One-click annotation: Instead of drawing 3D bounding boxes or point-wise labels, we simplify the annotation to just one click on the target object, and automatically generate the bounding box for the target.