activity
20182024
most citedNostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate

62 citations · 97 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Renovating Names in Open-Vocabulary Segmentation Benchmarks

Haiwen Huang, Songyou Peng, Dan Zhang +1

Names are essential to both human cognition and vision-language models. Open-vocabulary models utilize class names as text prompts to generalize to categories unseen during trainin…

cs.CV2022★ 5 cited

GOOD: Exploring Geometric Cues for Detecting Objects in an Open World

Haiwen Huang, Andreas Geiger, Dan Zhang

We address the task of open-world class-agnostic object detection, i.e., detecting every object in an image by learning from a limited number of base object classes. State-of-the-a…

stat.ME2021

Investigating an Alternative for Estimation from a Nonprobability Sample: Matching plus Calibration

Zhan Liu, Richard Valliant

Matching a nonprobability sample to a probability sample is one strategy both for selecting the nonprobability units and for weighting them. This approach has been employed in the…

cs.LG2021★ 3 cited

Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective

Lewis Smith, Joost van Amersfoort, Haiwen Huang +2

ResNets constrained to be bi-Lipschitz, that is, approximately distance preserving, have been a crucial component of recently proposed techniques for deterministic uncertainty quan…

stat.ML2020★ 27 cited

Feature Space Singularity for Out-of-Distribution Detection

Haiwen Huang, Zhihan Li, Lulu Wang +3

Out-of-Distribution (OoD) detection is important for building safe artificial intelligence systems. However, current OoD detection methods still cannot meet the performance require…

cs.LG2018★ 62 cited

Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate

Haiwen Huang, Chang Wang, Bin Dong

First-order optimization algorithms have been proven prominent in deep learning. In particular, algorithms such as RMSProp and Adam are extremely popular. However, recent works hav…