NeurIPS

A Fair Loss Function for Network Pruning

Robbie Meyer, Alexander Wong

Comments [v1] Trustworthy and Socially Responsible Machine Learning (TSRML 2022) workshop co-located with NeurIPS 2022

Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary

Zhuoyan Li, Ming Yin

Comments NeurIPS 2024

Neural decoding from stereotactic EEG: accounting for electrode variability across subjects

Georgios Mentzelopoulos, Evangelos Chatzipantazis, Ashwin G. Ramayya, Michelle J. Hedlund, Vivek P. Buch, Kostas Daniilidis, Konrad P. Kording, Flavia Vitale

Comments Accepted for publication at the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Semantics and Spatiality of Emergent Communication

Rotem Ben Zion, Boaz Carmeli, Orr Paradise, Yonatan Belinkov

Comments 34 pages, to be published in NeurIPS 2024

Evaluating the role of `Constitutions' for learning from AI feedback

Saskia Redgate, Andrew M. Bean, Adam Mahdi

Comments 4 pages, 2 figures. In NeurIPS 2024 Workshop on Language Gamification

Towards unearthing neglected climate innovations from scientific literature using Large Language Models

César Quilodrán-Casas, Christopher Waite, Nicole Alhadeff, Diyona Dsouza, Cathal Hughes, Larissa Kunstel-Tabet, Alyssa Gilbert

Comments 10 pages. Accepted in the LatinX in AI workshop at NeurIPS 2024

JRadiEvo: A Japanese Radiology Report Generation Model Enhanced by Evolutionary Optimization of Model Merging

Kaito Baba, Ryota Yagi, Junichiro Takahashi, Risa Kishikawa, Satoshi Kodera

Comments Accepted by NeurIPS'24 Workshop on AIM-FM: Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation

Yihong Guo, Yixuan Wang, Yuanyuan Shi, Pan Xu, Anqi Liu

Comments Published at Neurips 2024

SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation

Mikhail Khodak, Lester Mackey, Alexandra Chouldechova, Miroslav Dudík

Comments NeurIPS 2024

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power

Till Korten, Vladimir Rybnikov, Mathias Vogt, Juliane Roensch-Schulenburg, Peter Steinbach, Najmeh Mirian

Comments 10 pages, 4 figures, Machine Learning and the Physical Sciences Workshop, NeurIPS 2024 https://neurips.cc/virtual/2024/100009

FlexFlood: Efficiently Updatable Learned Multi-dimensional Index

Fuma Hidaka, Yusuke Matsui

Comments NeurIPS 2024 Workshop ML for Systems. Our code is available at https://github.com/mti-lab/FlexFlood

Provocation: Who benefits from "inclusion" in Generative AI?

Samantha Dalal, Siobhan Mackenzie Hall, Nari Johnson

Comments 3 pages, 1 figure. Published as a Short Paper in the NeurIPS 2024 Workshop on Evaluating Evaluations: Examining Best Practices for Measuring Broader Impacts of Generative AI

Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples

Noël Vouitsis, Rasa Hosseinzadeh, Brendan Leigh Ross, Valentin Villecroze, Satya Krishna Gorti, Jesse C. Cresswell, Gabriel Loaiza-Ganem

Comments NeurIPS 2024 ATTRIB Workshop

Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives

Vincent Hanke, Tom Blanchard, Franziska Boenisch, Iyiola Emmanuel Olatunji, Michael Backes, Adam Dziedzic

Comments Accepted at NeurIPS 2024

Adversarial Environment Design via Regret-Guided Diffusion Models

Hojun Chung, Junseo Lee, Minsoo Kim, Dohyeong Kim, Songhwai Oh

Comments 38th Conference on Neural Information Processing Systems

Supra-Laplacian Encoding for Transformer on Dynamic Graphs

Yannis Karmim, Marc Lafon, Raphael Fournier S'niehotta, Nicolas Thome

Journal ref The Thirty-eighth Annual Conference on Neural Information Processing Systems, NeurIPS 2024, 10-15 December 2024, Vancouver, Canada

DiffusionPID: Interpreting Diffusion via Partial Information Decomposition

Rushikesh Zawar, Shaurya Dewan, Prakanshul Saxena, Yingshan Chang, Andrew Luo, Yonatan Bisk

Journal ref Thirty-Eighth Annual Conference on Neural Information Processing Systems (2024)

GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats

Sangeek Hyun, Jae-Pil Heo

Comments NeurIPS 2024 / Project page: https://hse1032.github.io/gsgan

Dense Connector for MLLMs

Huanjin Yao, Wenhao Wu, Taojiannan Yang, YuXin Song, Mengxi Zhang, Haocheng Feng, Yifan Sun, Zhiheng Li, Wanli Ouyang, Jingdong Wang

Comments 27 pages, NeurIPS 2024

Journal ref NeurIPS 2024

BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models

Qijun Luo, Hengxu Yu, Xiao Li

Comments Accepted for Publication in Conference on Neural Information Processing Systems, 2024

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR

Liang-Hsuan Tseng, En-Pei Hu, Cheng-Han Chiang, Yuan Tseng, Hung-yi Lee, Lin-shan Lee, Shao-Hua Sun

Comments NeurIPS 2024

Infinite-channel deep stable convolutional neural networks

Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti

Comments 20 pages, 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

Journal ref Neural Information Processing Systems (NeurIPS 2021)

On the Surprising Effectiveness of Attention Transfer for Vision Transformers

Alexander C. Li, Yuandong Tian, Beidi Chen, Deepak Pathak, Xinlei Chen

Comments NeurIPS 2024. Code: https://github.com/alexlioralexli/attention-transfer

Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction

Chen-Long Duan, Yong Li, Xiu-Shen Wei, Lin Zhao

Comments Accepted by NeurIPS 2024

Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology

Dhananjay Tomar, Alexander Binder, Andreas Kleppe

Comments Poster at NeurIPS 2024

VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation

Youpeng Wen, Junfan Lin, Yi Zhu, Jianhua Han, Hang Xu, Shen Zhao, Xiaodan Liang

Comments Accepted to NeurIPS 2024

ClevrSkills: Compositional Language and Visual Reasoning in Robotics

Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic

Comments To appear at NeurIPS 2024 (D&B track)

Sparse Upcycling: Inference Inefficient Finetuning

Sasha Doubov, Nikhil Sardana, Vitaliy Chiley

Comments 12 pages, 4 figures, To appear in the 4th NeurIPS Workshop on Efficient Natural Language and Speech Processing (ENLSP), 2024

SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark

Sithursan Sivasubramaniam, Cedric Osei-Akoto, Yi Zhang, Kurt Stockinger, Jonathan Fuerst

Comments NeurIPS 2024 Track Datasets and Benchmarks

Online Budgeted Matching with General Bids

Jianyi Yang, Pengfei Li, Adam Wierman, Shaolei Ren

Comments Accepted by NeurIPS 2024