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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

Timezone: America/Los_Angeles
6:00 AM
Breakfast
7:35 AM
Coffee Break
10:45 AM
Lunch Break
12:10 PM
WiML Panel
1:30 PM
A Novel Evaluation Methodology of Transformers for Clinical Summarization
Divya Nagaraj · Sandra Steyaert · Olivier Gevaert
1:30 PM
Transfer Neurons not Layers
Divya Kulkarni
1:30 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
1:30 PM
Suicide Ideation Prediction Using CNN-BiLSTM
Christianah Oyewale · Joseph D. Akinyemi · Ayodeji O.J Ibitoye · Olufade F.W Onifade
1:30 PM
Machine Learning-Based Field Calibration of Low-Cost PM2.5 and PM10 Air Quality Sensors
Priscilla Adong · Deo Okure · Richard Sserunjogi · Engineer Bainommugisha
1:30 PM
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration
Chentian Jiang · Nan Rosemary Ke · Hado van Hasselt
1:30 PM
Deployment-Oriented Self-Supervised Learning-Powered Cloud Segmentation in Satellite Images
Mingye Zhu · Zhicheng Yang · Mei Han · Jui-Hsin Lai
1:30 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
1:30 PM
Transformer-based Text Generation for Pidgin English
Taiwo Kolajo · Kabir Garba
1:30 PM
Tractable Large Scale Calibration with Reinforcement Learning
Fadel Thior · Rose Yvette Bandolo Essomba · Sekou Remy
1:30 PM
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees
Johanna Vielhaben · Stefan Bluecher · Nils Strodthoff
1:30 PM
Okun Handwritten Character Recognition Model
Victoria I Yemi-Peters · John Olorundare · Sunday Adewumi
1:30 PM
Combinatorial Optimization with Policy Adaptation using Latent Space Search
Felix Chalumeau · Shikha Surana · Clément Bonnet · Nathan Grinsztajn · Arnu Pretorius · Alexandre Laterre · Thomas Barrett
1:30 PM
GmGM: a fast Gaussian graphical model for multi-modal data
Luisa Cutillo · Bailey Andrew · David Westhead
1:30 PM
AI for private industrial networks in 5G and 6G
Aurélie Boisbunon · Illyyne Saffar · Jordi Biosca Caro · Abdulrahman Alabbasi · Junaid Ansari
1:30 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
1:30 PM
Generative Signed Graph Models for Gene Regulatory Networks
Angelina Brilliantova · Ivona Bezakova
1:30 PM
Comparing Supervised and Interactive Learning for Visual Grounded Reasoning
Anne Wu · Kianté Brantley · Yoav Artzi
1:30 PM
Harnessing Self-Supervised Learning and Vision Transformers for Attention Based Multi-modal Survival Analysis
Narmada Naik · Kavya Kannan · Shahriar Faghani · Kevin Matlock
1:30 PM
IDMU: Impact Driven Machine Unlearning
SHUBHI ASTHANA · Bing Zhang · Ruchi Mahindru · Indervir Singh Banipal · Pawan Chowdhary
1:30 PM
Gaussian Processes for Time Series with Lead-Lag Effects
Wancen Mu · Eric Davis · Kathleen Reed · Douglas Phanstiel · Michael Love · Didong Li
1:30 PM
Exploring the Effect of Frequency Resolution in FNet
Greg Szumel · Ghazal Khalighinejad · Rickard Stureborg · Sam Wiseman
1:30 PM
MABLE: Towards Quality of Experience Fairness for Serverless Functions
Xue Li · Palden Lama · Tania Lorido Botran · Wei Wang
1:30 PM
Active query synthesis for preference learning
Namrata Nadagouda · Mark Davenport
1:30 PM
Efficient Network Curvature for Community Detection
Yun Jin Park · Didong Li
1:30 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
1:30 PM
Enhancing STEM education using Multimodal AI and Human in the Loop Feedback
Karen DSouza · Pratibha Varma-Nelson · Shiaofen Fang · Snehasis Mukhopadhyay
1:30 PM
The brain ascends reward gradients to learn in continuous motor spaces
Aditi Arun · Anuj Patel · Ashesh K Dhawale
1:30 PM
Cross-modal RGB to Thermal Image Distillation
Meron Abayneh · SELAMAWIT HAILE · Hawi Hunde · Michael Desta
1:30 PM
S2S Transformer: End-to-End Architecture for 3D Object Detection from Point Clouds
SELAMAWIT HAILE · Meron Abayneh · Hawi Hunde · Yeabsira Tessema
1:30 PM
MixStrokes: MLP Mixers for Keystroke Dynamics Authentication
Hawi Hunde · Meron Abayneh · SELAMAWIT HAILE · Abel Mekonnen
1:30 PM
Deep Learning from Crowdsourced Labels with Identifiability Guarantees
Shahana Ibrahim · Tri Nguyen · Xiao Fu
1:30 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
1:30 PM
Deep Metric Learning for Type II Diabetes Subtyping
Qixuan Jin · Haoran Zhang · Jiacheng Zhu · Marzyeh Ghassemi
1:30 PM
The Effects of Structural Conditioning on Antibody Inverse Folding
Zinnia Ma · Franziska Seeger · Nathan Frey · Amy Wang · Darcy Davidson
1:30 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
1:30 PM
Transport with Support: Data-Conditional Diffusion Bridges
Ella Tamir · Martin Trapp · Arno Solin
1:30 PM
Neural ODEs for Modeling Epidemic Spreading
Chrysoula Kosma · Giannis Nikolentzos · Georgios Panagopoulos · Jean-Marc Steyaert · Michalis Vazirgiannis
1:30 PM
Exploiting emerging similarities by infusing invariances in neural representations
Irene Cannistraci · Marco Fumero · Luca Moschella · Valentino Maiorca · Emanuele Rodolà
1:30 PM
Coupled VAE with Gaussian process Decoders for Autonomous Chemical Design
Vidhi Lalchand · Anna Perdrix Rosell · David Lines
1:30 PM
COPD classifier using Structured Light Plethysmography
Prisha Satwani · Vidhi Lalchand
1:30 PM
Fast Neural Scene Flow
Xueqian Li