NeurIPS

Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid

Vineet Jagadeesan Nair, Lucas Pereira

Comments Presented at the NeurIPS 2022 Tackling Climate Change with Machine Learning workshop

Safety-Aware Fine-Tuning of Large Language Models

Hyeong Kyu Choi, Xuefeng Du, Yixuan Li

Comments NeurIPS 2024 Workshop on Safe Generative AI

UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation

Ye Sun, Hao Zhang, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang

Comments NeurIPS 2024

Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy

Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang

Comments Accepted by NeurIPS 2024, Homepage: https://jiakangyuan.github.io/AdaptiveDiffusion-project-page/ The code is available at https://github.com/UniModal4Reasoning/AdaptiveDiffusion

Conditioning 3D Diffusion Models with 2D Images: Towards Standardized OCT Volumes through En Face-Informed Super-Resolution

Coen de Vente, Mohammad Mohaiminul Islam, Philippe Valmaggia, Carel Hoyng, Adnan Tufail, Clara I. Sánchez

Comments Accepted at NeurIPS 2024 Workshop on GenAI for Health

Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Models

Juseong Jin, Chang Wook Jeong

Comments NeurIPS 2024 AIM-FM Workshop

Skipping Computations in Multimodal LLMs

Mustafa Shukor, Matthieu Cord

Comments Accepted at NeurIPS 2024 Workshop RBFM. Code: https://github.com/mshukor/ima-lmms

Can Vision-Language Models Replace Human Annotators: A Case Study with CelebA Dataset

Haoming Lu, Feifei Zhong

Comments Accepted by NeurIPS 2024 Workshop (EvalEval 2024)

Token Pruning using a Lightweight Background Aware Vision Transformer

Sudhakar Sah, Ravish Kumar, Honnesh Rohmetra, Ehsan Saboori

Comments 7 pages, 2 tables, 4 figures, FITML workshop@NeuRIPS 2024

Articulated Animal AI: An Environment for Animal-like Cognition in a Limbed Agent

Jeremy Lucas, Isabeau Prémont-Schwarz

Comments 8 pages, accepted to Workshop on Open-World Agents (OWA-2024) at NeurIPS 2024 in Vancouver, Canada

DFM: Interpolant-free Dual Flow Matching

Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata

Comments Extended Abstract Track at the Unifying Representations in Neural Models Workshop (NeurIPS 2024)

Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure

Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, Eytan Bakshy

Comments Bayesian Decision-making and Uncertainty Workshop at NeurIPS 2024

HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction

Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li

Comments NeurIPS 2024 paper

A Functional Extension of Semi-Structured Networks

David Rügamer, Bernard X. W. Liew, Zainab Altai, Almond Stöcker

Comments Accepted at NeurIPS 2024

Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis

Sakhinana Sagar Srinivas, Vijay Sri Vaikunth, Venkataramana Runkana

Comments Accepted at Workshop on Open-World Agents (OWA-NeurIPS 2024) : Synergizing Reasoning and Decision-Making in Open-World Environments

Fine-Tuning is Fine, if Calibrated

Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao

Comments The paper has been accepted to NeurIPS 2024. The first three authors contribute equally

$β$-DPO: Direct Preference Optimization with Dynamic $β$

Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

Comments NeurIPS 2024

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You

Comments Accepted to NeurIPS 2024

Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Daniel Kunin, Allan Raventós, Clémentine Dominé, Feng Chen, David Klindt, Andrew Saxe, Surya Ganguli

Comments 40 pages, 12 figures, NeurIPS 2024

Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective

Xinhao Yao, Xiaolin Hu, Shenzhi Yang, Yong Liu

Comments NeurIPS 2024

MoEUT: Mixture-of-Experts Universal Transformers

Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber, Christopher Potts, Christopher D. Manning

Comments Accepted to NeurIPS 2024

Reconstruction of Manipulated Garment with Guided Deformation Prior

Ren Li, Corentin Dumery, Zhantao Deng, Pascal Fua

Comments NeurIPS 2024

Adaptive Exploration for Data-Efficient General Value Function Evaluations

Arushi Jain, Josiah P. Hanna, Doina Precup

Comments 26 pages, 16 figures, Accepted in NeurIPS 2024 Conference

GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

Mulin Yu, Tao Lu, Linning Xu, Lihan Jiang, Yuanbo Xiangli, Bo Dai

Comments Accepted to NeurIPS 2024. Project page: https://city-super.github.io/GSDF

The Value of Reward Lookahead in Reinforcement Learning

Nadav Merlis, Dorian Baudry, Vianney Perchet

Comments Accepted to NeurIPS 2024 as spotlight

BitDelta: Your Fine-Tune May Only Be Worth One Bit

James Liu, Guangxuan Xiao, Kai Li, Jason D. Lee, Song Han, Tri Dao, Tianle Cai

Comments NeurIPS 2024 acceptance

Regret Minimization in Stackelberg Games with Side Information

Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan

Comments In the thirty-eighth Conference on Neural Information Processing Systems (NeurIPS 2024)

Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks

Wenlin Chen, Hong Ge

Comments Accepted for publication at NeurIPS 2024. Code available at: https://github.com/Wenlin-Chen/geometric-parameterization

SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems

Xuan Zhang, Necdet Serhat Aybat, Mert Gürbüzbalaban

Comments The complexity bound for SAPD+ with variance reduction is corrected in Theorem 4 and the related discussion in Remark 8 is also updated

Journal ref Advances in Neural Information Processing Systems, 35, pp.21668-21681 (2022)

Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence

Xinbo Ai

Comments NeurIPS 2024. Rearrangement Correlation at both population and sample levels. 16 pages, 2 theorems, 2 corollaries, and 2 propositions