Privacy Isn’t Free: Benchmarking the Systems Cost of Privacy-Preserving

Nnaemeka Casmir Obiefuna, Samuel Oladayo Oyeneye, Similoluwa Odunaiya, Iremide Blessing Oyelaja, Steven Kolawole

Published at ES-FoMo III: 3rd Workshop on Efficient Systems for Foundation Models, ICML 2025

OpenReview (pdf) | code

Flatness-Aware Regularization for Robust Generalization in Deep Neural Networks

Chisom Chibuike and Fatimo Adebanjo

Published at WiML Workshop at NeurIPS 2025

paper pdf

Improving BGE-M3 Multilingual Dense Embeddings for Nigerian Low Resource Languages

Abdulmatin Omotoso, Habeeb Shopeju, Adejumobi Monjolaoluwa Joshua, Shiloh Oni

Published at WiNLP workshop, EMNLP 2025

ACL Anthology (pdf)

SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays

Ilerioluwakiiye Abolade, Emmanuel Idoko, Solomon Odelola, Promise Omoigui, Adetola Adebanwo, Aondana Iorumbur, Udunna Anazodo, Alessandro Crimi, Raymond Confidence

Published at MIRASOL Workshop, MICCAI 2025

arXiv (pdf) | code

Secure and Scalable Horizontal Federated Learning for Bank Fraud Detection

Nnaemeka Obiefuna, Iremide Oyelaja, Similoluwa Odunaiya, Samuel Oyeneye

Published at Advances in Financial AI Workshop, ICLR 2025

paper pdf | code

De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP

Stefan Larson, Nicole Cornehl Lima, Santiago Pedroza Diaz, Amogh Manoj Joshi, Siddharth Betala, Jamiu Tunde Suleiman, Yash Mathur, Kaushal Kumar Prajapati, Ramla Alakraa, Junjie Shen, Temi Okotore, Kevin Leach

Published at EMNLP 2024

Proceedings (pdf)

Asynchronous Perception Machine For Test Time Training

Rajat Modi, Yogesh Singh Rawat

Published at NeurIPS 2024

arXiv (pdf) | blog | code

What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models

Busayo Awobade, Mardiyyah Oduwole, Steven Kolawole

Published at AfricaNLP workshop, ICLR 2024

arXiv

Extremely Simple Activation Shaping for Out-of-Distribution Detection

Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok, Rosanne Liu

Published at ICLR 2023

arXiv (pdf) | blog | code | video

Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language

Steven Kolawole, Opeyemi Osakuade, Nayan Saxena, Babatunde K. Olorisade

Published at IJCAI 2022 (initially presented at ML4D Workshop, NeurIPS 2021)

arXiv (pdf) | blog | code | video

Estimating Example Difficulty Using Variance of Gradients

Chirag Agarwal, Daniel D'souza, Sara Hooker

Published at CVPR 2022

arXiv (pdf) | blog | code

NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract)

Robert Wu, Nayan Saxena , Rohan Jain

Published at AAAI 2022

arXiv (pdf) | code

Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract)

Nayan Saxena, Robert Wu , Rohan Jain

Published at AAAI 2022

arXiv (pdf) | code

Language Models are Few-shot Multilingual Learners

Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Rosanne Liu, Jason Yosinski, Pascale Fung

Published at MRL Workshop, EMNLP 2021

arXiv (pdf) | code | video

Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess

Gregory Clark

Published at NeurIPS 2021

arXiv (pdf)

A Tale Of Two Long Tails

Daniel D'souza, Zach Nussbaum, Chirag Agarwal, Sara Hooker

Published at UDL Workshop, ICML 2021

arXiv (pdf) | code

When does loss-based prioritization fail?

Niel Teng Hu, Xinyu Hu, Rosanne Liu, Sara Hooker, Jason Yosinski

Published at SubSetML Workshop, ICML 2021

arXiv (pdf)

Multi-layer Hebbian networks with modern deep learning frameworks

Thomas Miconi

arXiv (pdf) | code

Scaling Down Deep Learning

Sam Greydanus

arXiv (pdf) | blog | code

Supermasks in Superposition

Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi

Published at NeurIPS 2020

arXiv (pdf) | blog | code

Estimating Q(s,s’) with Deep Deterministic Dynamics Gradients

Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski

Published at ICML 2020

arXiv (pdf) | code | video

Plug and Play Language Models: a Simple Approach to Controlled Text Generation

Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu

Published at ICLR 2020

arXiv (pdf) | blog | code | video

LCA: Loss Change Allocation for Neural Network Training

Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski

Published at NeurIPS 2019

arXiv (pdf) | blog | code | video

Hamiltonian Neural Networks

Sam Greydanus, Misko Dzamba, and Jason Yosinski

Published at NeurIPS 2019

arXiv (pdf) | blog | code

Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski

Published at NeurIPS 2019

arXiv (pdf) | blog | code

Metropolis-Hastings Generative Adversarial Networks

Ryan Turner, Jane Hung, Eric Frank, Yunus Saatci, and Jason Yosinski

Published at ICML 2019

arXiv (pdf) | blog | code

Faster Neural Networks Straight from JPEG

Lionel Gueguen, Alex Sergeev, Ben Kadlec, Rosanne Liu, Jason Yosinski

Published at NeurIPS 2018

arXiv (pdf) | blog | code

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski

Published at NeurIPS 2018

arXiv (pdf) | blog | code | video

Measuring the intrinsic dimension of objective landscapes

Chunyuan Li, Heerad Farkhoor, Rosanne Liu, Jason Yosinski

Published at ICLR 2018

arXiv (pdf) | blog | code | video