activity
20142026
most citedNeural Architecture Transfer

181 citations · 505 across the 54 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

cs.CY2023★ 16 cited

Into the LAIONs Den: Investigating Hate in Multimodal Datasets

Abeba Birhane, Vinay Prabhu, Sang Han +2

'Scale the model, scale the data, scale the compute' is the reigning sentiment in the world of generative AI today. While the impact of model scaling has been extensively studied,…

cs.LG2023★ 3 cited

AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE

Wei Ao, Vishnu Naresh Boddeti

Secure inference of deep convolutional neural networks (CNNs) under RNS-CKKS involves polynomial approximation of unsupported non-linear activation functions. However, existing app…

cs.LG2023

Spurious Correlations and Where to Find Them

Gautam Sreekumar, Vishnu Naresh Boddeti

Spurious correlations occur when a model learns unreliable features from the data and are a well-known drawback of data-driven learning. Although there are several algorithms propo…

cs.CV2023

Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services

Zhichao Lu, Chuntao Ding, Shangguang Wang +3

Deploying high-performance convolutional neural network (CNN) models on low-earth orbit (LEO) satellites for rapid remote sensing image processing has attracted significant interes…

cs.CV2023

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives

Chuntao Ding, Zhichao Lu, Shangguang Wang +2

Multi-task learning (MTL) seeks to learn a single model to accomplish multiple tasks by leveraging shared information among the tasks. Existing MTL models, however, have been known…

cs.CV2023

On the Biometric Capacity of Generative Face Models

Vishnu Naresh Boddeti, Gautam Sreekumar, Arun Ross

There has been tremendous progress in generating realistic faces with high fidelity over the past few years. Despite this progress, a crucial question remains unanswered: "Given a…

cs.RO2023

Discovering Adaptable Symbolic Algorithms from Scratch

Stephen Kelly, Daniel S. Park, Xingyou Song +8

Autonomous robots deployed in the real world will need control policies that rapidly adapt to environmental changes. To this end, we propose AutoRobotics-Zero (ARZ), a method based…

cs.CY2023★ 10 cited

On Hate Scaling Laws For Data-Swamps

Abeba Birhane, Vinay Prabhu, Sang Han +1

`Scale the model, scale the data, scale the GPU-farms' is the reigning sentiment in the world of generative AI today. While model scaling has been extensively studied, data scaling…

cs.CV2023

TFormer: A Transmission-Friendly ViT Model for IoT Devices

Zhichao Lu, Chuntao Ding, Felix Juefei-Xu +3

Deploying high-performance vision transformer (ViT) models on ubiquitous Internet of Things (IoT) devices to provide high-quality vision services will revolutionize the way we live…