Online Proceedings
2025
- Do not trust what you trust: Miscalibration in Semisupervised Learning Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
- Multivariate Dense Retrieval: A Reproducibility Study under a Memory-limited Setup Georgios Sidiropoulos, Samarth Bhargav, Panagiotis Eustratiadis, Evangelos Kanoulas
- Improving Interpretation Faithfulness for Vision Transformers Izabela Kurek, Wojciech Trejter, Stipe Frkovic, Andro Erdelez
- Reassessing Fairness: A Reproducibility Study of NIFA’s Impact on GNN Models Ruben Figge, Sjoerd Gunneweg, Aaron Kuin, Mees Lindeman
- A reproducibility study of “User-item fairness tradeoffs in recommendations” Sander Honig, Elyanne Oey, Lisanne Wallaard, Sharanda Suttorp, Clara Rus
- Reproducibility study of: “Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals” Tijs Wiegman, Leyla Perotti, Viktória Pravdová, Ori Brand, Maria Heuss
- On the Generalizability of “Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals” Asen Dotsinski, Udit Thakur, Marko Ivanov, Mohammad Hafeez Khan, Maria Heuss
- Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language Models Atharv Mittal, Agam Pandey, Amritanshu Tiwari, Sukrit Jindal, Swadesh Swain
- Reproducibility Study of “Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation” Jose L. García, Karolína Hájková, Maria Marchenko, Carlos Miguel Patiño
- Remembering to Be Fair Again: Reproducing Non-Markovian Fairness in Sequential Decision Making Domonkos Nagy, Lohithsai Yadala Chanchu, Krystof Bobek, Xin Zhou, Jacobus Smit
- Reproducibility Study of ’SLICE: Stabilized LIME for Consistent Explanations for Image Classification’ Aritra Bandyopadhyay, Chiranjeev Bindra, Roan van Blanken, Arijit Ghosh
- GNNBoundary: Finding Boundaries and Going Beyond Them Jan Henrik Bertrand, Lukas Bierling, Ina Klaric, Aron Wezenberg
- Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study Freek Byrman, Emma Kasteleyn, Bart Kuipers, Daniel Uyterlinde
- Benchmarking LLM Capabilities in Negotiation through Scoreable Games Jorge Carrasco Pollo, Ioannis Kapetangeorgis, Joshua Rosenthal, John Hua Yao
- ModernTCN Revisited: A Critical Look at the Experimental Setup in General Time Series Analysis Önder Akacik,Mark Hoogendoorn
- Reproducibility Study of “Improving Interpretation Faithfulness For Vision Transformers” Meher Changlani, Benjamin Hucko, Aswin Krishna Mahadevan, Ioannis Kechagias
- A Reproducibility Study of Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Eric Banzuzi, Johanna D’ciofalo Khodaverdian, Katharina Deckenbach
2023
🎓 Poster : NeurIPS 2024 Poster Sessions, Dec 10th to 15th, 2024, Vancouver, Canada
- GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks; Ana-Maria Vasilcoiu, Batu Helvacioğlu, Thies Kersten, Thijs Stessen; 🎓 Poster
- Explaining Temporal Graph Models through an Explorer-Navigator Framework, Miklos Hamar, Matey Krastev, Kristiyan Hristov, David Beglou
- Reproducibility Study of “Explaining RL Decisions with Trajectories”, Clio Feng, Colin Bot, Bart den Boef, Bart Aaldering
- Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported, Ethan Harvey, Mikhail Petrov, Michael C. Hughes; :mortar_board Poster
- Reproducibility study of FairAC, Gijs de Jong,Macha Meijer,Derck W.E. Prinzhorn,Harold Ruiter; 🎓 Poster
- On the Reproducibility of Post-Hoc Concept Bottleneck Models, Nesta Midavaine, Gregory Hok Tjoan Go, Diego Canez, Ioana Simion, Satchit Chatterji; 🎓 Poster
- Reproducibility Study of “Learning Perturbations to Explain Time Series Predictions, Jiapeng Fan, Paulius Skaigiris, Luke Cadigan, Sebastian Uriel Arias
- Explaining RL Decisions with Trajectories’: A Reproducibility Study, Karim Ahmed Abdel Sadek, Matteo Nulli, Joan Velja, Jort Vincenti
- Classwise-Shapley values for data valuation, Markus Semmler, Miguel de Benito Delgado
- Reproducibility Study of “ITI-GEN: Inclusive Text-to-Image Generation”, Daniel Gallo Fernández, Răzvan-Andrei Matișan, Alejandro Monroy Muñoz, Janusz Partyka; 🎓 Poster
- Reproducibility study of “Robust Fair Clustering: A Novel Fairness Attack and Defense Framework, Kacper Bartosik, Eren Kocadag, Vincent Loos, Lucas Ponticelli, 🎓 Poster
- CUDA: Curriculum of Data Augmentation for Long‐Tailed Recognition, Barath Chandran C; 🎓 Poster
- Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework”, Christina Isaicu, Jesse Wonnink, Andreas Berentzen, Helia Ghasemi; 🎓 Poster
- Reproducibility Study of “Robust Fair Clustering: A Novel Fairness Attack and Defense Framework”, Iason Skylitsis, Zheng Feng, Idries Nasim, Camille Niessink; 🎓 Poster
- Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers, Fatemeh Nourilenjan Nokabadi, Jean-Francois Lalonde, Christian Gagné; 🎓 Poster
- Reproducibility study of “LICO: Explainable Models with Language-Image Consistency”, Luan Fletcher, Robert van der Klis, Martin Sedlacek, Stefan Vasilev, Christos Athanasiadis; 🎓 Poster
- On the Reproducibility of: “Learning Perturbations to Explain Time Series Predictions”, Wouter Bant, Ádám Divák, Jasper Eppink, Floris Six Dijkstra; 🎓 Poster
- Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact, Berkay Chakar,Amina Izbassar,Mina Janićijević,Jakub Tomaszewski; 🎓 Poster
- Chain-of-Thought Unfaithfulness as Disguised Accuracy, Oliver Bentham, Nathan Stringham, Ana Marasović
- Unmasking the Veil: An Investigation into Concept Ablation for Privacy and Copyright Protection in Images, Shivank Garg, Manyana Tiwari
- Studying How to Efficiently and Effectively Guide Models with Explanations” - A Reproducibility Study, Adrian Sauter, Milan Miletić, Ryan Ott, Rohith Saai Pemmasani Prabakaran; 🎓 Poster
- Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations, Thijmen Nijdam, Taiki Papandreou-Lazos, Jurgen de Heus, Juell Sprott; 🎓 Poster