Affinity Event

Women in Machine Learning

Tiffany Vlaar ⋅ Ibtihel Amara ⋅ Nikita Saxena ⋅ Bo Zhao ⋅ Mehrnaz Mofakhami ⋅ Yolanne Lee ⋅ Mahsa Massoud ⋅ Milica Cvetkovic ⋅ Eda Okur ⋅ Mandana Samiei

2024 Affinity Event

Project Page [ Slides]

Abstract

The 19th Workshop for Women in Machine Learning (WiML) will be co-located with NeurIPS 2024 in Vancouver, BC, Canada.

The WiML workshop 2024 will be held in person on December 10th with invited speakers, oral presentations, and posters. The event brings together members of the academic and industry research landscape for an opportunity to connect and exchange ideas, and learn from each other. There will be a mentoring session to discuss current research trends and career choices in machine learning. Underrepresented minorities and undergraduates interested in pursuing machine learning research are encouraged to participate. All presenters should be women or non-binary, and all genders are invited to attend.

https://sites.google.com/wimlworkshop.org/wiml-2024/

Video

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Schedule

Timezone: America/Los_Angeles

8:15 AM

Registration and Breakfast

9:00 AM

Opening Remarks

Tiffany Vlaar

Video

9:10 AM

Invited Talk by Angelica Lim (Simon Fraser University)

Angelica Lim

Video

9:40 AM

Invited Talk by Thea Aarrestad (ETH)

Thea Klaeboe Aarrestad

Video

10:10 AM

Coffee Break and Invited Speakers Office Hours

Angelica Lim ⋅ Thea Klaeboe Aarrestad

10:40 AM

Contributed Talks

Khaoula Chehbouni ⋅ Shubhada Agrawal ⋅ Teresa Klatzer ⋅ Hyeonah Kim

Video

11:00 AM

Mentorship Roundtables

12:30 PM

Lunch Break

1:20 PM

Invited Talk by Aditi Raghunathan (Carnegie Mellon University)

Aditi Raghunathan

Video

1:50 PM

Invited Talk by Isabelle Guyon (Google DeepMind, Paris-Saclay University)

Isabelle Guyon

Video

2:20 PM

Coffee Break and Invited Speakers Office Hours

Aditi Raghunathan ⋅ Isabelle Guyon

2:50 PM

Panel

Angelica Lim ⋅ Thea Klaeboe Aarrestad ⋅ Isabelle Guyon ⋅ Tatjana Chavdarova ⋅ Celestine Mendler-Dünner

Video

3:50 PM

Fireside Chat

Hanna Wallach ⋅ Sarah Osentoski

Video

4:40 PM

WiML President's Remarks

Sarah Tan

Video

Learning Contrastive Representations for Dense Passage Retrieval in Open-domain Conversational Question Answering

Munazza Zaib ⋅ Elaf Alhazmi

Enhancing Speech Recognition through Diverse Shared Features Accent Classification

Amina Salifu ⋅ Henry Nunoo

Enhancing Credit Risk Assessment through Transformer-Based Machine Learning Models

Jean Amukwatse ⋅ Joan Arimpa

Anomaly Detection in Weather and Irradiation Data: A Study of 12 German Cities

Rafiat BAMIMORE AKODU ⋅ Rasheed Oyewole ⋅ Sanda Taiwo

Toward Comprehensive Neural Network Robustness

Fatemeh Amerehi ⋅ Patrick Healy

Predictive Modeling of Safe Zones on University Campuses Using Space Syntax and Machine Learning

Abeer Sanyour

Improving Text Retrieval with Decoder-based Cross-encoder Ranking Models

Ronay Ak ⋅ Mengyao Xu ⋅ Gabriel Moreira ⋅ Benedikt Schifferer ⋅ Radek Osmulski ⋅ Even Oldridge

Suicide Ideation Prediction Using Convolutional Neural Network Bidirectional Long Short-Term Memory CNN-BiLSTM

Christianah Oyewale ⋅ Joseph D. Akinyemi ⋅ Ayodeji O.J Ibitoye ⋅ Olufade F.W Onifade

Responsible Rhymes : Bias Mitigation of Gender Stereotypes using corpora

Harini S

Integration of IoT-Based Agricultural Monitoring System Using LSTM Networks and NLP for Maize Disease Anomaly Detection and Diagnostic Assistance

Theofrida J Maginga

Towards Real-Time Breast Cancer Diagnosis: Enhancing CNN Model Efficiency and Fairness

Sadura Akinrinwa

Graph Neural Networks for Seizure Detection in EEG Signals

Jaya Kedia ⋅ Deepak Mishra ⋅ Ramzan Basheer

Gradient Boosting for yield prediction of elite maize hybrid ZhengDan 958

Oumnia Ennaji ⋅ Sfia Baha ⋅ leonardus Vergutz ⋅ Achraf El Allali

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Parishad BehnamGhader ⋅ Vaibhav Adlakha ⋅ Marius Mosbach ⋅ Dzmitry Bahdanau ⋅ Nicolas Chapados ⋅ Siva Reddy

TexPlex: A Self-Supervised Framework for Texture Analysis of Multiplexed Proteomic Imaging

Ishita Mangla ⋅ Bryan Cannon ⋅ Sean Bendall

Machine Learning Algorithm for Classifying Malaria based on Clinical Parameters

Standylove Birago Mensah

Adaptive QoS-Aware Reinforcement Learning for Dynamic V2V Communication Environments

ANNU . ⋅ Rajalakshmi pachamuthu

Out-of-Distribution performance as a proxy metric for graph neural network explainers in the absence of ground-truth explanations

Guadalupe Gonzalez ⋅ Chirag Agarwal ⋅ Siddharth Betala

Safe decision making in autonomous vehicles using multi-objective soft-actor critic algorithm

Naa Korkoi Addo ⋅ Patrick Healy

MLSherlock: An Audit Lens for Policy-Compliance Machine Learning Systems

Ismat Jarin ⋅ Tu Le ⋅ Athina Markopoulou

Position Paper: The Urgent Need for Advancements in Machine Unlearning Algorithms to Ensure AI Safety

Yashaswini Viswanath ⋅ Vishwanath Hulipalled ⋅ Kaustubha Vecham ⋅

Annealed variational mixtures for disease subtyping and biomarker discovery

Emma Prevot ⋅ Paul Kirk ⋅ Filippo Pagani

Do Large Language Models Understand Cause and Effect?

Hanna Dettki ⋅ Charley Wu ⋅ Brenden Lake ⋅ Bob Rehder

Unleashing Creativity: Generalizing Semantic Control for Text-to-Image Diffusion Models

Linoy Tsaban ⋅ Manuel Brack ⋅ Marlon May ⋅ Felix Friedrich ⋅ Patrick Schramowski ⋅ Apolinario Passos ⋅ Ajinkya Kale ⋅ Kristian Kersting

Predicting Mental Health Disorders with DistilBERT: Insights from Social Media Posts

Comfort Oyindamola Akanni ⋅ Sakinat Folorunso ⋅ Oluwaseyi Ogunlana

Fair Allocation in Dynamic Mechanism Design

Annie Ulichney ⋅ Alireza Fallah ⋅ Michael Jordan

A Novel CNN Filter Inspired by Order Theory

Eric Dolores-Cuenca ⋅ Susana López-Moreno ⋅ Aldo Guzmán-Sáenz ⋅ Sangil Kim ⋅ Jose L. Mendoza-Cortes

Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis

Abdulganiyu Jimoh

DFI-DGCF: A Graph-Based Recommendation Approach for Drug-Food Interactions

SOFIA BOURHIM

Reinforcement Learning-Based Multi-Objective Traffic Signal Control with Emergency Vehicle and Pedestrian Prioritization

IMANE BRIKI ⋅ Maryam Alami Chentoufi ⋅ Rachid Ellaia

Promptly-Cited: Citation based Prompting via Pseudo-Retrieval-Augmented Generation

Pooja Ganesh ⋅ Soumya Snigdha Kundu

Variational Inequality Optimizers for Multi-Agent Reinforcement Learning

Baraah Adil Mohammed Sidahmed ⋅ Tatjana Chavdarova

Research on K-NN Classifier for Date Fruit Classification with adequately chosen topology

Tanziah Khanam ⋅ Minoru W. Yoshida

Markov Chain Variance Estimation: A Stochastic Approximation Approach

Shubhada Agrawal ⋅ Prashanth L.A. ⋅ Siva Theja Maguluri

Towards the use of efficient Vision Transformers for Lightweight Convolutional Occupancy Networks

Claudia Melis Tonti ⋅ Irene Amerini

Comprehensive Framework for Audio Deepfake Detection: From Capsule Networks to Hybrid and Continual Learning Models.

Taiba Wani ⋅ Irene Amerini

Explainable Reinforcement Learning for Optimizing Electricity Costs in Building Energy Management

Hallah Shahid Butt ⋅ Qiong Huang ⋅ Benjamin Schäfer

Heart Disease Prediction: A Comparative Study of Optimizers Performance in Deep Neural Networks.

chisom chibuike ⋅ Adeyinka Ogunsanya

Mirror Langevin Dynamics with Plug-and-Play Priors for Poisson Inverse Problems

Teresa Klatzer ⋅ Savvas Melidonis ⋅ Konstantinos Zygalakis ⋅ Marcelo Pereyra

Optimizing the performance and interpretability of multimodal breast cancer screening through late fusion

Asma Zizaan ⋅ Ali Idri

An interpretable Bagging of Neuro-Fuzzy Systems

Hafsaa Ouifak ⋅ Ali Idri

Generalization of Analogies: From Word Vectors to Images

Daniela Teodorescu ⋅ Alona Fyshe

Fairness-Enhancing Data Augmentation Methods

Monica Welfert ⋅ Nathan Stromberg ⋅ Lalitha Sankar

GeoLLM: Comparative Study and Enhancement of Large Language Models for Geospatial Knowledge Using Retrieval Augmented Generation(RAG).

Serah Akojenu ⋅ Olubayo Adekanmbi ⋅ Anthony Soronnadi

LLMs on interactive feature collections with implicit look-ahead strategies

Juyeon Heo ⋅ Vihari Piratla ⋅ Kyunghyun Lee ⋅ Hyonkeun Joh ⋅ Adrian Weller

Evaluating Simplicity over Complexity: Autoencoder Architectures for Real-Time Vehicle Damage Detection

Sara Khan

Supporting Responsible Machine Learning by Improving Data Curation

Eshta Bhardwaj ⋅ Christoph Becker

Memory-Efficient On-Device Learning for TinyML Applications with Low-Rank Approximation and Quantization in MATLAB

Claire Callon ⋅ Jim Joy ⋅ Brenda Zhuang

Evaluating Generative AI for Scenario Variation in Automated Driving Validation

Manasa Mariam Mammen ⋅ Zafer Kayatas ⋅ Eva Zimmermann ⋅ Pavel Nedvědický

Advanced Detection of Cochlear Hair Cells Using YOLOv10 in Auditory Diagnostics

⋅ Hannah Graff ⋅ Ariana Mondiri ⋅ Samantha Phillips ⋅ Ashlyn Viereck ⋅ Kaylee Van Handel ⋅ Cole Krudwig ⋅ Adya Dhuler ⋅ Steven Fernandes

Dynamics Based Neural Encoding with Inter-Intra Region Connectivity

Mai Gamal ⋅ Mohamed Rashad ⋅ Eman Ehab ⋅ Seif Eldawlatly ⋅ Mennatullah Siam

Saliency Prediction of groups within a convenience store

Rezvan Sherkati ⋅ James J. Clark ⋅ Yinan Wang ⋅ Sansitha Panchadsaram

Subseasonal Prediction of Summer Temperature in West Africa Using Machine Learning: A Case Study of Senegal

Annine Duclaire KENNE ⋅ Mory Toure ⋅ Lema Logamou Seknewna ⋅ Hervé Landry Ketsemen

Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification

Chi-en Tai ⋅ Oustan Ding ⋅ Alexander Wong

Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities

Benjamin Ng ⋅ Chi-en Tai ⋅ Emily Zhixuan Zeng ⋅ Alexander Wong

Fast Kernel Scene Flow

Xueqian Li

Sparse Partial Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis

Zeinab Abboud ⋅ Herve Lombaert ⋅ Samuel Kadoury

Task-Graph and SAC-Based Meta-Learning for Optimized Robotic Task Transfer

Sofanit Wubeshet Beyene ⋅ Bizu Melesse Birru

GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning

Sujin Yun ⋅ Jaewoo Lee ⋅ Taeyoung Yun ⋅ Jinkyoo Park

A Hierarchical Agriculture Benchmark for Multimodal Large Language Models

Yutong Zhou ⋅ Masahiro Ryo

Improving Pavement Temperature Forecasting: Using Temporal Fusion Transformer and Context Enhancement Module

Bizu Melesse Birru ⋅ Sofanit Wubeshet

Explainable and Fair AI Models for Culturally Sensitive Healthcare in Rural Nigeria

Ugochi Okafor ⋅ Olubayo Adekanmbi ⋅ Anthony Soronnadi

Ontology Extraction and Evaluation for the Blue Amazon

Vivian Magri Alcaldi Soares ⋅ Renata Wassermann

Reasoning-Driven Jury System for LLM Evaluation

Ayda Sultan

Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Deep Learning

Hadeer El Ashhab ⋅ Benjamin Schäfer ⋅ Sebastian Pütz ⋅ Matthias Hertel ⋅ Ralf Mikut ⋅ Markus Götz ⋅ Veit Hagenmeyer

Copycats: the many lives of a publicly available medical imaging dataset

Amelia Jiménez-Sánchez ⋅ Natalia-Rozalia Avlona ⋅ Dovile Juodelyte ⋅ Théo Sourget ⋅ Caroline Vang-Larsen ⋅ Anna Rogers ⋅ Hubert Zając ⋅ Veronika Cheplygina

Public Interest AI in Action

Theresa Züger ⋅ Hadi Asghari

COMPARATIVE STUDY OF LLMS FOR PERSONAL FINANCIAL DECISION IN LOW RESOURCE LANGUAGE

Rashidat Sikiru ⋅ Olubayo Adekambi ⋅ Anthony Soronnadi

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization

Hyeonah Kim ⋅ Minsu Kim ⋅ Sanghyeok Choi ⋅ Jinkyoo Park

Evaluating Machine Learning Methods for PM2.5 Estimation Using Satellite AOD, Low-Cost and Reference-Grade Monitors in Kampala.

Priscilla Adong ⋅ Soumyabrata Dev

Importance Sampling based Federated Unsupervised Representation Learning

Nazreen Shah ⋅ Prachi Goyal ⋅ Ranjitha Prasad

Multi-Genera Classification of Mosquitoes Using Convolutional Neural Networks on Wingbeat Acoustics

Rose-Mary Owusuaa Mensah Gyening ⋅ Nutifafa Agbenor-Efunam ⋅ Alice Lakyiere ⋅ Edmund Ilimoan Yamba ⋅ Kingsley Badu

Scaling Foundation Models for Time Series Forecasting

⋅ Gunjan Jalori ⋅ Sercan Arik

Lattice Lingo: Effect of Textual Detail on Multimodal Learning for Property Prediction of Crystals

Mrigi Munjal ⋅ Jaewan Lee ⋅ Changyoung Park ⋅ Sehui Han

The Pitfalls of Mixing Gradients in the Byzantine Heterogeneous Setting

Latifa Errami

Out-of-domain Analysis in 3D Whole-Body PET/CT Lesion Segmentation

Pauline Ornela Megne Choudja ⋅ Christian la Fougère ⋅ Konstantin Nikolaou ⋅ Clemens Cyran ⋅ Michael Ingrisch ⋅ Sergios Gatidis ⋅ Thomas Kuestner

Text-to-Image License Plate Generation with Latent Diffusion Models

Mariia Shpir ⋅ Nadiya Shvai ⋅ amir nakib

A Stratified Seed Selection Algorithm for K-means Clustering on Big Data

Namita Bajpai ⋅ Jiaul Paik ⋅ Sudeshna Sarkar

Improving Harm Reduction Tactics for a Multimodal Software Solution

Lucia Berger

Hamiltonian Matching for Symplectic Neural Integrators

Priscilla Canizares ⋅ Davide Murari ⋅ Ferdia Sherry ⋅ Zakhar Shumaylov ⋅ Carola-Bibiane Schönlieb

Overlap Detection improves Tabular Data Synthesizers for Imbalanced Datasets

Annie Dsouza ⋅ Swetha Magesh ⋅ Sunita Sarawagi

Optimizing Cloud-Based Machine Learning Deployments

Kaustubha Vecham

Graph-based Change detection for Natural Language

Akshita Ramya Kamsali

Link

A Framework for Systematic Management of Agent Design Patterns in Multi-Agent Systems

Jagannatham Jahnavi ⋅ Yashaswini Viswanath

DrugAgent: A framework for drug discovery streamlined by an LLM Agent

Anushka Shelke ⋅ Rohan Kumar ⋅ Agneev Ray ⋅ Parthiban Srinivasan

Simple and Scalable Algorithms for Cluster-Aware Precision Medicine

Amanda Buch ⋅ Conor Liston ⋅ Logan Grosenick

Self-Supervised Amharic Text-to-Speech Using Unified Encoder-Decoder Pre-Training

Rahel Mekonen Tamiru ⋅ ABEL ALEMU

Maize Yield Response to Fertilizers using Random Forest and Generalized Additive Model

Hulda Sakyi

Supervising Multi-modal Perception of Limited Sensors from an Information Perspective

Anna Min ⋅ Ziyang Chen ⋅ Hang Zhao

GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks

Hana Mekonen Tamiru

Investigating Relational State Abstraction in Multi-Agent Reinforcement Learning

Sharlin Utke ⋅ Jeremie Houssineau ⋅ Giovanni Montana

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset

Khaoula Chehbouni ⋅ Jonathan Colaço Carr ⋅ Yash More ⋅ Jackie CK Cheung ⋅ Golnoosh Farnadi

Determining Treatment Disparities across Multiple Healthcare Datasets via Statistical Analysis

Purity Mugambi ⋅ Joohyun Chung ⋅ Rae Walker ⋅ Michael Sherman ⋅ Stephanie Carreiro ⋅ Madalina Fiterau

Enhancing Inclusivity: Machine Translation of English Biological Research Papers to Nigerian Pidgin-English (A language spoken by over 75 million people)

Flora Oladipupo ⋅ Olubayo Adekanmbi ⋅ Anthony Soronnadi

Evaluating Accented Speech Recognition Performance on Nigerian Accents

Oreoluwa Boluwatife Babatunde ⋅ Victor Olufemi ⋅ Sakinat Folorunso ⋅ Babatunde Oluwasemilore

LLM Unlearning EKG: Evaluations using Knowledge Graphs

Rushali Mohbe ⋅ Samuel Scarpino

Detecting Machine-Generated vs. Human-Generated Content Across Varying Text Lengths: Small, Medium, and Large

Anjali Rawal ⋅ Hui Wang ⋅ Mengyuan Liu ⋅ Yu-Hsuan Lin ⋅ Youjia Zheng ⋅ Shanu Sushmita

Towards accessible NLP in clinical practice: Automated symptom extraction for adolescent endometriosis

Emily L. Leventhal ⋅ Rebecca Cohen ⋅ Nivedita Nukavarapu ⋅ Victoria Lazarov ⋅ Sarriyah Hanif ⋅ Ipek Ensari

Understanding Intrinsic Socioeconomic Biases in Large Language Models

Mina Arzaghi ⋅ Florian Carichon ⋅ Golnoosh Farnadi

Mitigating Feature Bias in DL Models for Cervical Cytology

Subhashree Sahu ⋅ Shubham Ojha ⋅ Aditya Narendra

Link

Are State-of-the-Art Models Really Inclusive? A Short Study on Low-Resource African Languages

Babatunde Oluwasemilore ⋅ Oreoluwa Boluwatife Babatunde

Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data

Comfort Adesina

On Optimal Subgroup Definition for Bias Mitigation

Anissa Alloula ⋅ Daniel R McGowan ⋅ Bartlomiej Papiez

Diabetes Disease Comorbidities

Temitope Folorunso ⋅ Sakinat Folorunso

Adaptive Knowledge Distillation for Efficient Domain-Specific Language Models.

Prajvi Saxena ⋅ Sabine Janzen ⋅ Wolfgang Maass

SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network

Sejuti Rahman ⋅ Swakshar Deb ⋅ Shafin Rahman

Improving E-commerce Sponsored Search Ads Relevance: A Novel Framework Using Large Language Models and Student Models

Isha Shah

Risk Profiling using LLM and Few-shot Prompting Technique

Priti Gurung ⋅ Manjil Rawal ⋅ Moses Garuba ⋅ Noha Hazzazi

Energy Efficient Machine Learning and Deep Learning Methods for Mosquito Classification

Danika Gupta ⋅ Ming Zhao ⋅ Awani Gadre

Implement and evaluate adversarial attack and defense in Deep Learning using MNIST Dataset

Henriette Flore KENNE

Hyperspherical Projections for Continual Learning Using Pre-Trained Models

Anuhya Thota

Towards Rare Event and Anomaly Prediction in Manufacturing: Bridging Methodological Gaps in Industrial Applications

Chathurangi Shyalika ⋅ Renjith Prasad ⋅ Ruwan Wickramarachchi ⋅ Amit Sheth

Streamlining Clinical Trial Matching Using a Two-Stage Zero-Shot LLM with Advanced Prompting

Enhancing Language Models’ Performance on Mathematical Datasets A Multi-Agent Approach

Santhoshi Ravichandran ⋅ Ashwini Rajaram ⋅ Priya Nama Venkatesh

Scalable Permutation Invariant Multi-Output Gaussian Processes for Cancer Drug Response

Leiv Ronneberg ⋅ Vidhi Lalchand

Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cance

Narmada Naik ⋅ Kevin Matlock

Generalist Vision Foundation Model for Endoscopy

Shreya Johri ⋅ Tyler Berzin ⋅ Pranav Rajpurkar

Evaluating the Geometric Consistency of Text-to-3D generated models using Surface Normal Analysis

Samridha Murali ⋅ Aswath Muthuselvam

Enhancing Communication Efficiency and Robustness in Split-Federated Learning with Rate-Distortion inspired Compression

Chamani Shiranthika Jayakody Kankanamalage ⋅ Hadi Hadizadeh ⋅ Ivan Bajić ⋅ Parvaneh Saeedi

Link

Overcoming Data Scarcity in Digital Agriculture: A Generative Approach to Hyperspectral Imaging

Nooshin Noshiri ⋅ Christopher Henry ⋅ Christopher Bidinosti

Fairness Before Fitting: Mutual Information Based Criteria for Task Level Fairness

Surbhi Rathore ⋅ Sarah Brown

Automated Localization & Segmentation of Brain Tumors Using Attention-Enhanced U-Net

Somayeh Davar ⋅ Thomas Fevens

Robust Split-Federated Learning model Using Co-learning mechanism for Medical Image Segmentation

Zahra Hafezi ⋅ Hadi Hadizadeh ⋅ Parvaneh Saeedi

Smart Labeling for Dynamic Node Classification

Farimah Poursafaei ⋅ Pratheeksha Nair ⋅ Reihaneh Rabbany

Exploring Human Daily Activity Through a Hierarchical Multimodal Lens

Ghazal Kaviani ⋅ Yavuz Yarici ⋅ Mohit Prabhushankar ⋅ Ghassan AlRegib

Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering

Afaf Taik ⋅ Saber Malekmohammadi ⋅ Golnoosh Farnadi

Multilingual Hallucination Gaps in Large Language Models

Cléa Chataigner ⋅ Afaf Taik ⋅ Golnoosh Farnadi

StresSense Enhanced: Elevating Stress Detection with Deep Hybrid Models

Nida Saddaf Khan ⋅ Nasir Uddin ⋅ Gulnaz Anjum ⋅ Muhammad Sayeed Ghani

Communication-Efficient Decentralized Continual Learning

Sakshi Choudhary ⋅ Sai Aparna Aketi ⋅ Gobinda Saha ⋅ Kaushik Roy

FeDAG: A DAG Blockchain-Based Hierarchical Federated Transfer Learning for Heterogeneous IoT

Zahra Batool ⋅ Kaiwen Zhang ⋅ Zhongwen Zhu

Helping Predict Agent Behaviors by Operationalizing Variation Theory of Learning

Tiffany Horter ⋅ Serena Booth ⋅ Vinitha Gadiraju

What Can 1.5 Million Tweets Reveal About Breast Cancer Patient Concerns?

Swati Rajwal ⋅ Avinash Kumar Pandey ⋅ Zhishuo Han ⋅ Abeed Sarker

Link

Linguistic Entity Masking to Improve Cross-Lingual Sentence Retrieval Capabilities of Multilingual Pre-trained Language Models for Low Resource Languages

Aloka Fernando ⋅ Surangika Ranathunga ⋅ Nisansa de Silva

Systematic Comparison of Unsupervised and Supervised Learning for Medical Image Segmentation

Sharon Cristell Quispe Carhuapoma ⋅ Ingrid Arellano ⋅ Pedro Shiguihara

Integrating Graph Neural Networks and Enhanced Sampling for Cryptic Pocket Discovery

Bodhi Vani

Enhancing Data Center Efficiency for Machine Learning: The Role of Superconductors and Insights from Superconducting Power Grid Projects

Samarth Suresh ⋅ Smrithi Suresh

Evaluating Implicit Augmentation for Breast Cancer Diagnosis

Yumnah Hasan ⋅ talhat khan ⋅ Darian Reyes ⋅ Juan F H Albarracín ⋅ Conor Ryan

Author Profiling of User Comments on Fashion Social Network

KUAN-TING CHEN

Alzheimer's Disease Risk Prediction using Radiomics and Interpretable ML

Louise Bloch ⋅ Christoph M. Friedrich

Learning to Reweight Examples in Backdoor Defense

Yufan Feng ⋅ Benjamin Tan ⋅ Yani Ioannou

Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores

Jivat Neet Kaur ⋅ Michael Jordan ⋅ Ahmed Alaa

Discovering Power Patterns in time varying HPC Workloads with Matrix Profile: A Clustering Approach

Naw Safrin Sattar ⋅ Ahmad Maroof Karimi ⋅ Woong Shin ⋅ Feiyi Wang

Towards Principled Representation Learning from Videos for Reinforcement Learning

Dipendra Misra ⋅ Akanksha Saran ⋅ Tengyang Xie ⋅ Alex Lamb ⋅ John Langford

Principled Masked Autoencoders

Alice Bizeul ⋅ Thomas Sutter ⋅ Alain Ryser ⋅ Julius von Kügelgen ⋅ Julia Vogt

Bridging semantics and pragmatics in information-theoretic emergent communication

Eleonora Gualdoni ⋅ Mycal Tucker ⋅ Roger Levy ⋅ Noga Zaslavsky

Enhancing Multi-Intent Dialogue Systems: Personalization through User Preference Knowledge Graphs and RAG

Smitha Muthya Sudheendra ⋅ Jaideep Srivastava

Detection and Prediction of Progression of Parkinson’s Disease from Speech

Hiba Akhaddar ⋅ Tristan Glatard ⋅ Mirco Ravanelli

Test-Time Adaptation with State-Space Models

Mona Schirmer

CAMELOT++: Enhancing Patient Phenotype Discovery through Time-Series Clustering and Survival Analysis

Katarina Vukosavljević ⋅ Henrique Aguiar ⋅ Tingting Zhu

Multi-Task Learning for T Cell Receptor Sequence Analysis

Prisha Satwani

Evaluating and Enhancing Counter-Argument Generation with Evidence and Style Control

Preetika Verma ⋅ Kokil Jaidka ⋅ Svetlana Churina

Generating ASCII Art with Discrete Diffusion Models

Maisha thasin

Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques

Rishika Bhagwatkar ⋅ Shravan Nayak ⋅ Pouya Bashivan ⋅ Irina Rish

Confounder-Agnostic Learning: Enhancing Robustness with Projected Gradient Descent

Sneha Chetani ⋅ Tatjana Chavdarova

TVL-RAF: Tactile-Vision-Language Integration via Retrieval-Augmented Fusion

Yoorhim Cho

Thermal Image Object Detection via Cross-Modal Knowledge Distillation from RGB

Meron Mihret ⋅ Abel Mekonnen ⋅ Yeabsira Tessema

GPTCodeval: An Empirical Evaluation Benchmark for Code Generation Using Language Models

Shreya Rajpal ⋅ Anbarasi Masilamani ⋅ Siva Shanmugam Gopal

Brain Inspired Discrete Representations for GRN Inference using GFlowNets

Nirlipta Pande ⋅ Raghav Arora ⋅ Dianbo Liu

Enhancing Water Stress Classification using Drift-Aware Dynamic Neural Networks

Tejasri Nampally ⋅ Rajalakshmi pachamuthu ⋅ Balaji Banothu ⋅ Uday Desai

Harnessing U-NET and Multispectral Satellite Imageries for Harmful Algae Blooms (HABs) Segmentation

Amina Said ⋅ Julia Dietlmeier ⋅ Noel Connor ⋅ Margaret McCaul

Understanding Lobbying Strategies in Legislative Process: Bill Position Dataset and Lobbying Analysis

Jiseon Kim ⋅ Dongkwan Kim ⋅ Joohye Jeong ⋅ In Song Kim ⋅ Alice Oh

What’s Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias

Aida Mohammadshahi ⋅ Yani Ioannou

Modeling neural dynamics using periodic structured state space model

Pranjal Garg ⋅ Vatsala Nema

From Stateless to Adaptive: Dynamic Personalization for Conversational Language Models

Cicy Kuriakose Agnes ⋅ Wolfgang Maass

Detecting and Approximating Redundant Computational Blocks in Neural Networks

Irene Cannistraci ⋅ Emanuele Rodolà ⋅ Bastian Rieck

Harnessing Public Opinion with Fine-Tuned Language Models

Jenifer Za Nzambi

Improving Generalization in Neuron-to-Gaze Decoding for Brain-Computer Interfaces

Kendra Noneman ⋅ J. Patrick Mayo

Towards Real-Time Detection of Breathing Behavior using Electrocardiogram

Bhargavi Mahesh ⋅ Elisabeth Andre

GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring

Celia Rubio-Madrigal ⋅ Adarsh Jamadandi ⋅ Rebekka Burkholz

HVAC-DPT: A Decision Pretrained Transformer for HVAC Control

Anaïs Berkes

Liquid Resistance Liquid Capacitance Networks

Mónika Farsang ⋅ Sophie A. Neubauer ⋅ Radu Grosu

Apnea Events Detection in an Upper Airway Stimulation Therapy Device

Meghna Singh ⋅ Jaideep Srivastava

Known Unknowns: Out-of-Distribution Property Prediction in Materials

Nofit Segal ⋅ Aviv Netanyahu ⋅ Rafael Gomez-Bombarelli ⋅ Pulkit Agrawal

Exploiting Longitudinal Speech Data via Voice Assistant Systems for Early Detection of Cognitive Decline

Kristin Qi ⋅ Youxiang Zhu ⋅ Caroline Summerour ⋅ John A. Batsis ⋅ Xiaohui Liang

Non Invasive Stress Monitoring from Video

Akshata Tiwari ⋅ Brian Matejek ⋅ Daniel Haehn

Multi-Modal Input Integration Using Convolutional Neural Networks to Predict CRISPRi Efficacy

Renee Napoliello ⋅ Lucas Ferns ⋅ Hongru Hu ⋅ Lacey Malina Walker ⋅ Gerald Quon

Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection

Tahira Shehzadi ⋅ Khurram Azeem Hashmi ⋅ Didier Stricker ⋅ Muhammad Zeshan Afzal

Diffusion-Based In-painting of Corrupted Spectrogram

Mahsa Massoud ⋅ Reyhane Askari Hemmat ⋅ Kai-Feng Chen ⋅ Adrian Liu ⋅ Siamak Ravanbakhsh

Thinking Big: A LLM Approach to Brain Size Genetics

Claire Hsieh ⋅ Gerald Quon ⋅ Siddhant Sanghi

LEMoN: Label Error Detection using Multimodal Neighbors

Aparna Balagopalan ⋅ Haoran Zhang ⋅ Nassim Oufattole ⋅ Hyewon Jeong ⋅ Jiacheng Zhu ⋅ Marzyeh Ghassemi

Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset

Man Luo ⋅ Bradley Peterson ⋅ Rafael Gan ⋅ Hari Ramalingame ⋅ Navya Gangrade ⋅ Ariadne Dimarogona ⋅ Imon Banerjee ⋅ Phillip Howard

When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding

Marah Ghoummaid ⋅ Uri Shalit

Text-Image Concept Human Alignment Dataset and Metric

Maria Alejandra Bravo

Self-supervised Visualisation of Microscopy Datasets

Ifeoma Veronica Nwabufo ⋅ Jan Niklas Böhm ⋅ Philipp Berens ⋅ Dmitry Kobak

DINGO: Neural Posterior Estimation for Gravitational Waves

Annalena Kofler ⋅ Maximilian Dax ⋅ Stephen Green ⋅ Jonas Wildberger ⋅ Nihar Gupte ⋅ Jonathan Gair ⋅ Michael Puerrer ⋅ Jakob Macke ⋅ Alessandra Buonanno ⋅ Bernhard Schölkopf