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Event

Women in ML

Nataša Tagasovska ⋅ Eda Okur ⋅ Hewitt Tusiime ⋅ Megha Srivastava ⋅ Jessica Sorrell ⋅ Estefany Kelly Buchanan ⋅ Shweta Khushu
2023 Event
Project Page

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Schedule

Time zone: Conference local time zone
8:00 AM
Breakfast
9:35 AM
Coffee Break
12:45 PM
Lunch Break
2:10 PM
WiML Panel
3:30 PM
A Novel Evaluation Methodology of Transformers for Clinical Summarization
Divya Nagaraj ⋅ Sandra Steyaert ⋅ Olivier Gevaert
3:30 PM
Transfer Neurons not Layers
Divya Kulkarni
3:30 PM
Comparative Evaluation of Fixed Windowing Strategies on CT Brain Images Using Multiple Deep Learning Models
Supatta Viriyavisuthisakul ⋅ Natsuda Kaothanthong ⋅ Parinya Sanguansat ⋅ Toshihiko Yamasaki ⋅ Dittapong Songsaeng
3:30 PM
Suicide Ideation Prediction Using CNN-BiLSTM
Christianah Oyewale ⋅ Joseph D. Akinyemi ⋅ Ayodeji O.J Ibitoye ⋅ Olufade F.W Onifade
3:30 PM
Machine Learning-Based Field Calibration of Low-Cost PM2.5 and PM10 Air Quality Sensors
Priscilla Adong ⋅ Deo Okure ⋅ Richard Sserunjogi ⋅ Engineer Bainommugisha
3:30 PM
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration
Chentian Jiang ⋅ Nan Rosemary Ke ⋅ Hado van Hasselt
3:30 PM
Deployment-Oriented Self-Supervised Learning-Powered Cloud Segmentation in Satellite Images
Mingye Zhu ⋅ Zhicheng Yang ⋅ Mei Han ⋅ Jui-Hsin Lai
3:30 PM
Disentangled multi-subject and social behavioral representations through a constrained subspace variational autoencoder (CS-VAE)
Daiyao Yi ⋅ Simon Musall ⋅ Anne Churchland ⋅ Nancy Padilla-Coreano ⋅ Shreya Saxena
3:30 PM
Transformer-based Text Generation for Pidgin English
Taiwo Kolajo ⋅ Kabir Garba
3:30 PM
Tractable Large Scale Calibration with Reinforcement Learning
Fadel Thior ⋅ Rose Yvette Bandolo Essomba ⋅ Sekou Remy
3:30 PM
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees
Johanna Vielhaben ⋅ Stefan Bluecher ⋅ Nils Strodthoff
3:30 PM
Okun Handwritten Character Recognition Model
Victoria I Yemi-Peters ⋅ John Olorundare ⋅ Sunday Adewumi
3:30 PM
Combinatorial Optimization with Policy Adaptation using Latent Space Search
Felix Chalumeau ⋅ Shikha Surana ⋅ Clément Bonnet ⋅ Nathan Grinsztajn ⋅ Arnu Pretorius ⋅ Alexandre Laterre ⋅ Thomas Barrett
3:30 PM
GmGM: a fast Gaussian graphical model for multi-modal data
Luisa Cutillo ⋅ Bailey Andrew ⋅ David Westhead
3:30 PM
AI for private industrial networks in 5G and 6G
Aurélie Boisbunon ⋅ Illyyne Saffar ⋅ Jordi Biosca Caro ⋅ Abdulrahman Alabbasi ⋅ Junaid Ansari
3:30 PM
Farm to Plate AI: Enhance Freshness and Reduce Waste with Robotics and Computer Vision
Maitreyi Chitale ⋅ Brenda Zhuang ⋅ Karthiga Mahalingam ⋅ Nayara Gomes de Aguiar ⋅ Shriya Joag ⋅ Sarah Mohamed
3:30 PM
Generative Signed Graph Models for Gene Regulatory Networks
Angelina Brilliantova ⋅ Ivona Bezakova
3:30 PM
Comparing Supervised and Interactive Learning for Visual Grounded Reasoning
Anne Wu ⋅ Kianté Brantley ⋅ Yoav Artzi
3:30 PM
Harnessing Self-Supervised Learning and Vision Transformers for Attention Based Multi-modal Survival Analysis
Narmada Naik ⋅ Kavya Kannan ⋅ Shahriar Faghani ⋅ Kevin Matlock
3:30 PM
IDMU: Impact Driven Machine Unlearning
SHUBHI ASTHANA ⋅ Bing Zhang ⋅ Ruchi Mahindru ⋅ Indervir Singh Banipal ⋅ Pawan Chowdhary
3:30 PM
Gaussian Processes for Time Series with Lead-Lag Effects
Wancen Mu ⋅ Eric Davis ⋅ Kathleen Reed ⋅ Douglas Phanstiel ⋅ Michael Love ⋅ Didong Li
3:30 PM
Exploring the Effect of Frequency Resolution in FNet
Greg Szumel ⋅ Ghazal Khalighinejad ⋅ Rickard Stureborg ⋅ Sam Wiseman
3:30 PM
MABLE: Towards Quality of Experience Fairness for Serverless Functions
Xue Li ⋅ Palden Lama ⋅ Tania Lorido Botran ⋅ Wei Wang
3:30 PM
Active query synthesis for preference learning
Namrata Nadagouda ⋅ Mark Davenport
3:30 PM
Efficient Network Curvature for Community Detection
Yun Jin Park ⋅ Didong Li
3:30 PM
Can the Prismer VQA Model Enhance Pneumonia Diagnosis in Xrays through a Mixture-of-Experts Approach
Ipsita Praharaj ⋅ Ipsita Praharaj ⋅ Himanshu Thakur ⋅ Dhwani Sanmukhani
3:30 PM
Enhancing STEM education using Multimodal AI and Human in the Loop Feedback
Karen DSouza ⋅ Pratibha Varma-Nelson ⋅ Shiaofen Fang ⋅ Snehasis Mukhopadhyay
3:30 PM
The brain ascends reward gradients to learn in continuous motor spaces
Aditi Arun ⋅ Anuj Patel ⋅ Ashesh K Dhawale
3:30 PM
Cross-modal RGB to Thermal Image Distillation
Meron Abayneh ⋅ SELAMAWIT HAILE ⋅ Hawi Hunde ⋅ Michael Desta
3:30 PM
S2S Transformer: End-to-End Architecture for 3D Object Detection from Point Clouds
SELAMAWIT HAILE ⋅ Meron Abayneh ⋅ Hawi Hunde ⋅ Yeabsira Tessema
3:30 PM
MixStrokes: MLP Mixers for Keystroke Dynamics Authentication
Hawi Hunde ⋅ Meron Abayneh ⋅ SELAMAWIT HAILE ⋅ Abel Mekonnen
3:30 PM
Deep Learning from Crowdsourced Labels with Identifiability Guarantees
Shahana Ibrahim ⋅ Tri Nguyen ⋅ Xiao Fu
3:30 PM
Contrast Masked Image Modeling for Change Detection of Remote Sensing Images
Yibing Wei ⋅ Zhicheng Yang ⋅ Mingye Zhu ⋅ Zepeng Liu ⋅ Mei Han ⋅ Jui-Hsin Lai
3:30 PM
Deep Metric Learning for Type II Diabetes Subtyping
Qixuan Jin ⋅ Haoran Zhang ⋅ Jiacheng Zhu ⋅ Marzyeh Ghassemi
3:30 PM
The Effects of Structural Conditioning on Antibody Inverse Folding
Zinnia Ma ⋅ Franziska Seeger ⋅ Nathan Frey ⋅ Amy Wang ⋅ Darcy Davidson
3:30 PM
From Sequence to Structure: A Novel GNN-LM Framework for Predicting Protein Secondary Structures
Disha Varshney ⋅ Samarth Garg ⋅ Sarthak Tyagi ⋅ Deeksha Varshney ⋅ Nayan Deep
3:30 PM
Transport with Support: Data-Conditional Diffusion Bridges
Ella Tamir ⋅ Martin Trapp ⋅ Arno Solin
3:30 PM
Neural ODEs for Modeling Epidemic Spreading
Chrysoula Kosma ⋅ Giannis Nikolentzos ⋅ Georgios Panagopoulos ⋅ Jean-Marc Steyaert ⋅ Michalis Vazirgiannis
3:30 PM
Exploiting emerging similarities by infusing invariances in neural representations
Irene Cannistraci ⋅ Marco Fumero ⋅ Luca Moschella ⋅ Valentino Maiorca ⋅ Emanuele Rodolà
3:30 PM
Coupled VAE with Gaussian process Decoders for Autonomous Chemical Design
Vidhi Lalchand ⋅ Anna Perdrix Rosell ⋅ David Lines
3:30 PM
COPD classifier using Structured Light Plethysmography
Prisha Satwani ⋅ Vidhi Lalchand
3:30 PM
Fast Neural Scene Flow
Xueqian Li