NeurIPS 2024 Papers

Conference on Neural Information Processing Systems

2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015

Decision breakdown

4,562papers

Counted from the official paper list; may differ slightly from the number the conference announced.

Oral
721.6%
Spotlight
3828.4%
Poster
4,06489.1%
Other / unlabeled
441.0%

All4,562 Oral72 Spotlight382 Poster4,064

TitleTypeTopic

Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations

Thijmen Nijdam, Juell Sprott, Taiki Papandreou-Lazos, Jurgen de Heus

Journal

Deep learning · graph neural networks Graph Neural Networks

Studying How to Efficiently and Effectively Guide Models with Explanations - A Reproducibility Study

Adrian Sauter, Milan Miletić, Ryan Ott, Rohith Prabakaran

Journal

Alignment and Safety Social aspects · accountability transparency and interpretability

Chain-of-Thought Unfaithfulness as Disguised Accuracy

Ana Marasovic, Nathan Stringham, Oliver Bentham

Journal

Reasoning Models Supply-Chain Trust

Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact

Berkay Chakar, Amina Izbassar, Mina Janićijević, Jakub Tomaszewski

Journal

Social aspects · fairness Fairness Metrics

On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"

Jasper Eppink, Floris Six Dijkstra, Wouter Bant, Ádám Divák

Journal

Time Series Reproducibility

Reproducibility study of “LICO: Explainable Models with Language-Image Consistency"

Luan Fletcher, Robert van der Klis, Martin Sedlacek, Stefan Vasilev, Christos Athanasiadis

Journal

Image Generation Image Editing

Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers

Fatemeh Nourilenjan Nokabadi, Christian Gagné, Jean-Francois Lalonde

Journal

Privacy Attacks Adversarial Robustness

Reproducibility Study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"

Iason Skylitsis, Zheng Feng, Idries Nasim, Camille Niessink

Journal

Alignment and Safety Social aspects · accountability transparency and interpretability

[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"

Helia Ghasemi, Christina Isaicu, Jesse Wonnink, Andreas Berentzen

Journal

Deep learning · graph neural networks Graph Neural Networks

[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition

Barath Chandran C

Journal

Long Context Speech Recognition

Reproducibility study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"

Lucas Ponticelli, Vincent Loos, Eren Kocadag, Kacper Bartosik

Alignment and Safety Social aspects · accountability transparency and interpretability

Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"

Daniel Gallo Fernández, Răzvan-Andrei Matișan, Alejandro Monroy, Janusz Partyka

Journal

Image Generation Code Generation

Explaining RL Decisions with Trajectories': A Reproducibility Study

Karim Abdel Sadek, Matteo Nulli, Joan Velja, Jort Vincenti

Journal

Reproducibility

[Re] On the Reproducibility of Post-Hoc Concept Bottleneck Models

Gregory Hok Tjoan Go, Diego Canez, Nesta Midavaine, Satchit Chatterji, Ioana Simion

Journal

Concept-Based Explanation Reproducibility

Reproducibility study of FairAC

Gijs de Jong, Macha Meijer, Derck Prinzhorn, Harold Ruiter

Journal

Reproducibility

Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported

Ethan Harvey, Mikhail Petrov, Michael Hughes

Journal

Deep learning · transfer learning Sim-to-Real

[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks

Batu Helvacioglu, Ana Vasilcoiu, Thijs Stessen, Thies Kersten

Journal

Deep learning · generative models and autoencoders Deep learning · graph neural networks

Optimal Clustering with Bandit Feedback

Junwen Yang, Zixin Zhong, Vincent TAN

Journal

Exploration-Exploitation

Fixed points of nonnegative neural networks

Tomasz J. Piotrowski, Renato L. G. Cavalcante, Mateusz Gabor

Journal

General ML · supervised learning

Statistical Inference for Fairness Auditing

John Cherian, Emmanuel Candes

Journal

Social aspects · fairness Fairness Metrics

NeurIPS 2024 Papers

Decision breakdown

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