NeurIPS

LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration

Camiel Oerlemans, Bram Grooten, Michiel Braat, Alaa Alassi, Emilia Silvas, Decebal Constantin Mocanu

Comments Accepted at the NeurIPS 2024 workshop Time Series in the Age of Large Models. Code available at https://github.com/Cing2/LiMTR

Mean-Field Simulation-Based Inference for Cosmological Initial Conditions

Oleg Savchenko, Florian List, Guillermo Franco Abellán, Noemi Anau Montel, Christoph Weniger

Comments Accepted for the NeurIPS 2024 workshop Machine Learning and the Physical Sciences; 5 + 4 pages, 3 figures

Solving Sparse \& High-Dimensional-Output Regression via Compression

Renyuan Li, Zhehui Chen, Guanyi Wang

Comments Admitted in Neurips 2024

IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs

Xi Gao, Jinxin Xiong, Akang Wang, Qihong Duan, Jiang Xue, Qingjiang Shi

Comments Accepted by NeurIPS 2024

Improving Voice Quality in Speech Anonymization With Just Perception-Informed Losses

Suhita Ghosh, Tim Thiele, Frederic Lorbeer, Frank Dreyer, Sebastian Stober

Comments Accepted in NeurIPS 2024 Workshop (Audio Imagination)

IPO: Interpretable Prompt Optimization for Vision-Language Models

Yingjun Du, Wenfang Sun, Cees G. M. Snoek

Comments Accepted by NeurIPS 2024

Scene Graph Generation with Role-Playing Large Language Models

Guikun Chen, Jin Li, Wenguan Wang

Comments NeurIPS 2024. Code: https://github.com/guikunchen/SDSGG

Neural Normalized Compression Distance and the Disconnect Between Compression and Classification

John Hurwitz, Charles Nicholas, Edward Raff

Comments Accepted to Machine Learning and Compression Workshop at 38th Conference on Neural Information Processing Systems

Learning-Augmented Algorithms for the Bahncard Problem

Hailiang Zhao, Xueyan Tang, Peng Chen, Shuiguang Deng

Comments This paper has been accepted by the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Iterative Methods via Locally Evolving Set Process

Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang, Yanghua Xiao

Comments 58 pages, 15 figures, NeurIPS 2024

Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems

Bingcong Li, Liang Zhang, Niao He

Comments NeurIPS 2024

Beyond Causal Discovery for Astronomy: Learning Meaningful Representations with Independent Component Analysis

Zehao Jin, Mario Pasquato, Benjamin L. Davis, Andrea V. Macciò, Yashar Hezaveh

Comments Accepted by NeurIPS 2024 Causal Representation Learning Workshop. arXiv admin note: substantial text overlap with arXiv:2410.00965

TimeSeriesExam: A time series understanding exam

Yifu Cai, Arjun Choudhry, Mononito Goswami, Artur Dubrawski

Comments Accepted at NeurIPS'24 Time Series in the Age of Large Models Workshop

QuAILoRA: Quantization-Aware Initialization for LoRA

Neal Lawton, Aishwarya Padmakumar, Judith Gaspers, Jack FitzGerald, Anoop Kumar, Greg Ver Steeg, Aram Galstyan

Comments 12 pages, 7 figures. Submitted to the 4th NeurIPS Workshop on Efficient Natural Language and Speech Processing (ENLSP-IV)

Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series

Ching Chang, Chiao-Tung Chan, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen

Comments This submission has been withdrawn to avoid duplication with a full version of the paper that is already available in another arXiv entry (arXiv:2410.12606). The withdrawn version was a short format prepared for a NeurIPS workshop and is no longer necessary as a separate arXiv submission

Generating Intermediate Representations for Compositional Text-To-Image Generation

Ran Galun, Sagie Benaim

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

Deep Correlated Prompting for Visual Recognition with Missing Modalities

Lianyu Hu, Tongkai Shi, Wei Feng, Fanhua Shang, Liang Wan

Comments NeurIPS 2024, add some results

In-Context Ensemble Learning from Pseudo Labels Improves Video-Language Models for Low-Level Workflow Understanding

Moucheng Xu, Evangelos Chatzaroulas, Luc McCutcheon, Abdul Ahad, Hamzah Azeem, Janusz Marecki, Ammar Anwar

Comments To appear in NeurIPS Workshop on Video-Language Models 2024

CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios

Luning Wang, Shiyao Li, Xuefei Ning, Zhihang Yuan, Shengen Yan, Guohao Dai, Yu Wang

Comments 4th NeurIPS Efficient Natural Language and Speech Processing Workshop (ENLSP-IV 2024)

Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie

Comments Accepted by NeurIPS 2024

Truth is Universal: Robust Detection of Lies in LLMs

Lennart Bürger, Fred A. Hamprecht, Boaz Nadler

Comments NeurIPS 2024 poster

Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes

Syrine Belakaria, Benjamin Letham, Janardhan Rao Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy

Journal ref Conference on Neural Information Processing Systems, 2024

Variational Distillation of Diffusion Policies into Mixture of Experts

Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov

Comments Accepted by the 38th Annual Conference on Neural Information Processing Systems,

Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models

Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Chen Liu, Yu Lan, Chao Shen

Comments NeurIPS 2024 Main Track

LAVIB: A Large-scale Video Interpolation Benchmark

Alexandros Stergiou

Comments Accepted at NeurIPS 2024 Datasets and Benchmarks Track, project page: https://alexandrosstergiou.github.io/datasets/LAVIB/

Depth Anything V2

Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

Comments Accepted by NeurIPS 2024. Project page: https://depth-anything-v2.github.io

Reinforcement Learning with Lookahead Information

Nadav Merlis

Comments Accepted to NeurIPS 2024

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang

Comments 21 pages (15 pages main paper + 6 pages supplementary materials)

Journal ref Neurips 2024

FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models

Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi

Comments Accepted by Compression Worshop at NeurIPS 2024

VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections

Roy Miles, Pradyumna Reddy, Ismail Elezi, Jiankang Deng

Comments NeurIPS 2024. Code available at https://github.com/roymiles/VeLoRA