17 citations · 64 across the 32 of their papers we have counts for
39 papers
Higher Structures in Deep Learning
Michael L. Roberts, Carlos Zapata Carratalá. Nicholas J. Cooper, Lijun Chen +2
We provide an expository introduction on the importance of higher-arity tensor operations to deep learning. Then, we conduct a novel empirical investigation of higher-arity phenome…
Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks
Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu +1
With the growing adoption of VLMs, DMs, LLMs, and AFMs, these multimodal foundation models can inadvertently encode sensitive, copyrighted, biased, or unsafe cross-modal associatio…
On the Architectural Complexity of Neural Networks
Nicholas J. Cooper, François G. Meyer, Michael L. Roberts +3
We introduce a unified theoretical framework for the rigorous analysis and systematic construction of deep neural networks (DNNs). This framework addresses a gap in existing theory…
Hierarchical Instance Tracking to Balance Privacy Preservation with Accessible Information
Neelima Prasad, Jarek Reynolds, Neel Karsanbhai +6
We propose a novel task, hierarchical instance tracking, which entails tracking all instances of predefined categories of objects and parts, while maintaining their hierarchical re…
Logit-Based Losses Limit the Effectiveness of Feature Knowledge Distillation
Nicholas Cooper, Lijun Chen, Sailesh Dwivedy +1
Knowledge distillation (KD) methods can transfer knowledge of a parameter-heavy teacher model to a light-weight student model. The status quo for feature KD methods is to utilize l…
"Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision People
Tanusree Sharma, Yu-Yun Tseng, Lotus Zhang +5
Blind and low vision (BLV) individuals use Generative AI (GenAI) tools to interpret and manage visual content in their daily lives. While such tools can enhance the accessibility o…