NeurIPS

Finding Transformer Circuits with Edge Pruning

Adithya Bhaskar, Alexander Wettig, Dan Friedman, Danqi Chen

Comments NeurIPS 2024 (Spotlight), code available at https://github.com/princeton-nlp/Edge-Pruning

Enhancing Domain Adaptation through Prompt Gradient Alignment

Hoang Phan, Lam Tran, Quyen Tran, Trung Le

Comments Accepted to NeurIPS 2024

Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization

Xinyu Lyu, Beitao Chen, Lianli Gao, Jingkuan Song, Heng Tao Shen

Comments Accepted by NeurIPS 2024

OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning

Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing

Comments Project page: https://anwesachoudhuri.github.io/OpenWorldVISCap/

Journal ref NeurIPS 2024

Partial Transportability for Domain Generalization

Kasra Jalaldoust, Alexis Bellot, Elias Bareinboim

Comments causalai.net/r88.pdf

Journal ref Advances in Neural Information Processing Systems, 37, 2024, pp. 137768-137805

Causal discovery with endogenous context variables

Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel, Urmi Ninad, Andreas Gerhardus, Jakob Runge

Journal ref Advances in Neural Information Processing Systems, 37 (2024), p. 36243-36284

Not Just Object, But State: Compositional Incremental Learning without Forgetting

Yanyi Zhang, Binglin Qiu, Qi Jia, Yu Liu, Ran He

Comments NeurIPS 2024

Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models

David X. Wu, Anant Sahai

Comments NeurIPS 2023, 56 pages v3: fixed typos in sparse Hanson-Wright theorem statement

Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization

Mahyar Fazlyab, Taha Entesari, Aniket Roy, Rama Chellappa

Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Long-range Meta-path Search on Large-scale Heterogeneous Graphs

Chao Li, Zijie Guo, Qiuting He, Hao Xu, Kun He

Comments Accepted by Advances in Neural Information Processing Systems (NeurIPS 2024)

What Constitutes a Less Discriminatory Algorithm?

Benjamin Laufer, Manish Raghavan, Solon Barocas

Comments 25 pages, 4 figures, 3 tables. Published at ACM CS&Law '25. Prior versions appeared at NeurIPS Algorithmic Fairness Through the Lens of Metrics and Evaluation Workshop (AFME '24) and Regulatable ML Workshop (RegML '24)

Back to the Continuous Attractor

Ábel Ságodi, Guillermo Martín-Sánchez, Piotr Sokół, Il Memming Park

Journal ref In Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models

Jinlin Lai, Justin Domke, Daniel Sheldon

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Toward Conditional Distribution Calibration in Survival Prediction

Shi-ang Qi, Yakun Yu, Russell Greiner

Comments Accepted to NeurIPS 2024. 41 pages, 23 figures

Spiking Neural Network as Adaptive Event Stream Slicer

Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng, Qiang Zhang, Shibo Zhou, Renjing Xu

Comments Accepted to NeurIPS 2024

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models

Boyao Li, Alexander J. Thomson, Houssam Nassif, Matthew M. Engelhard, David Page

Comments Accepted to NeurIPS 2024

Journal ref Conference on Neural Information Processing Systems (NeurIPS'24), Vancouver, BC, pp. 4598-4628, 2024

DreamLLM-3D: Affective Dream Reliving using Large Language Model and 3D Generative AI

Pinyao Liu, Keon Ju Lee, Alexander Steinmaurer, Claudia Picard-Deland, Michelle Carr, Alexandra Kitson

Comments 8 pages, 3 figures, Accepted by NeurIPS creative AI track 2024

Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models

Arash Marioriyad, Parham Rezaei, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

Comments NeurIPS 2024 Workshop on Compositional Learning: Perspectives, Methods, and Paths Forward

Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees

Sijia Chen, Yibo Wang, Yi-Feng Wu, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang

Comments Accepted by NeurIPS 2024

Cross-Modality Perturbation Synergy Attack for Person Re-identification

Yunpeng Gong, Zhun Zhong, Yansong Qu, Zhiming Luo, Rongrong Ji, Min Jiang

Comments Accepted at the Thirty-eighth Annual Conference on Neural Information Processing Systems (https://openreview.net/forum?id=LONd7ACEjy)

Semi-Supervised End-To-End Contrastive Learning For Time Series Classification

Huili Cai, Xiang Zhang, Xiaofeng Liu

Comments Submitted to NeurIPS 2023

Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images

Shengjun Zhang, Xin Fei, Fangfu Liu, Haixu Song, Yueqi Duan

Comments NeurIPS 2024

emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography

Viswanath Sivakumar, Jeffrey Seely, Alan Du, Sean R Bittner, Adam Berenzweig, Anuoluwapo Bolarinwa, Alexandre Gramfort, Michael I Mandel

Comments Published at NeurIPS 2024 Datasets and Benchmarks Track

Revival: Collaborative Artistic Creation through Human-AI Interactions in Musical Creativity

Keon Ju M. Lee, Philippe Pasquier, Jun Yuri

Comments Keon Ju M. Lee, Philippe Pasquier and Jun Yuri. 2024. In Proceedings of the Creativity and Generative AI NIPS (Neural Information Processing Systems) Workshop

Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging

Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, Zhiqiang Tao

Comments Accepted by NeurIPS 2024

Event-based backpropagation on the neuromorphic platform SpiNNaker2

Gabriel Béna, Timo Wunderlich, Mahmoud Akl, Bernhard Vogginger, Christian Mayr, Hector Andres Gonzalez

Comments 38th Second Workshop on Machine Learning with New Compute Paradigms at NeurIPS 2024(MLNCP 2024) : Poster Presentation. NICE 2025 Neuromorphic Conference: Flash Talk Presentation

Data subsampling for Poisson regression with pth-root-link

Han Cheng Lie, Alexander Munteanu

Comments NeurIPS 2024

Journal ref Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024

Fair Summarization: Bridging Quality and Diversity in Extractive Summaries

Sina Bagheri Nezhad, Sayan Bandyapadhyay, Ameeta Agrawal

Comments Accepted at AFLME@NeurIPS 2024 (non-archival) & C3NLP@NAACL 2025 (publication)

Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World

Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo

Comments Accepted at NeurIPS 2024 Workshops: Mathematics of Modern Machine Learning (M3L) and Attributing Model Behavior at Scale (ATTRIB)

AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis

Swapnil Bhosale, Haosen Yang, Diptesh Kanojia, Jiankang Deng, Xiatian Zhu

Comments Accepted to NeurIPS 2024