NeurIPS

Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning

Felix den Breejen, Sangmin Bae, Stephen Cha, Tae-Young Kim, Seoung Hyun Koh, Se-Young Yun

Comments Table Representation Learning Workshop at NeurIPS 2023

Game Solving with Online Fine-Tuning

Ti-Rong Wu, Hung Guei, Ting Han Wei, Chung-Chin Shih, Jui-Te Chin, I-Chen Wu

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

Embarassingly Simple Dataset Distillation

Yunzhen Feng, Ramakrishna Vedantam, Julia Kempe

Comments Short version appears at NeurIPS 2023 WANT workshop

Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels

Vijay Veerabadran, Srinivas Ravishankar, Yuan Tang, Ritik Raina, Virginia R. de Sa

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

Automated clinical coding using off-the-shelf large language models

Joseph S. Boyle, Antanas Kascenas, Pat Lok, Maria Liakata, Alison Q. O'Neil

Comments Accepted to the NeurIPS 2023 workshop Deep Generative Models For Health (DGM4H). 9 pages, 3 figures

KoMultiText: Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services

Dasol Choi, Jooyoung Song, Eunsun Lee, Jinwoo Seo, Heejune Park, Dongbin Na

Comments Accepted to the NeurIPS 2023 Workshop on Socially Responsible Language Modelling Research (SoLaR)

Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation

Quang Nguyen, Truong Vu, Anh Tran, Khoi Nguyen

Comments Accepted to NeurIPS 2023. Our project page: https://dataset-diffusion.github.io/

Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion

Yang Liu, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

Comments Accepted by NeurIPS 2023

Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity

Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu

Comments 25 pages, 23 figures

Journal ref Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis

Comments demo available https://github.com/AdaptiveMotorControlLab/AmadeusGPT

Journal ref Published in Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023

Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL

Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Shoucheng Song, Han Wang, Youfang Lin, Li Jiang

Comments Accepted in NeurIPS 2023; The first two authors contributed equally

Parts of Speech-Grounded Subspaces in Vision-Language Models

James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras

Comments Accepted at NeurIPS 2023

Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage

Masatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun

Comments The original title of this paper was "Refined Value-Based Offline RL under Realizability and Partial Coverage," but it was later changed. This paper has been accepted for NeurIPS 2023

Similarity-based cooperative equilibrium

Caspar Oesterheld, Johannes Treutlein, Roger Grosse, Vincent Conitzer, Jakob Foerster

Comments Published at NeurIPS 2023. 32 pages, 9 figures

Multi-Head Adapter Routing for Cross-Task Generalization

Lucas Caccia, Edoardo Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni

Comments Accepted at NeurIPS 2023. Code is available at https://github.com/microsoft/mttl

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer

Bowen Tan, Yun Zhu, Lijuan Liu, Eric Xing, Zhiting Hu, Jindong Chen

Comments In proceedings of NeurIPS 2023; Code and model available at https://github.com/tanyuqian/cappy and https://huggingface.co/btan2/cappy-large, respectively

From Charts to Atlas: Merging Latent Spaces into One

Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà

Comments To appear in the NeurReps workshop @ NeurIPS 2023

LayoutPrompter: Awaken the Design Ability of Large Language Models

Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang

Comments NeurIPS 2023

Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

June-Woo Kim, Chihyeon Yoon, Miika Toikkanen, Sangmin Bae, Ho-Young Jung

Comments accepted in NeurIPS 2023 Workshop on Deep Generative Models for Health (DGM4H)

Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs

Nedelina Teneva, Estevam Hruschka

Comments Accepted at NeurIPS 2023 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2023)

Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio

Xudong Xu, Dejan Markovic, Jacob Sandakly, Todd Keebler, Steven Krenn, Alexander Richard

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

MathNAS: If Blocks Have a Role in Mathematical Architecture Design

Wang Qinsi, Ke Jinghan, Liang Zhi, Zhang Sihai

Comments NeurIPS 2023

FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets

Neng Wang, Hongyang Yang, Christina Dan Wang

Comments Workshop on Instruction Tuning and Instruction Following at NeurIPS 2023

Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

Zachary Levonian, Chenglu Li, Wangda Zhu, Anoushka Gade, Owen Henkel, Millie-Ellen Postle, Wanli Xing

Comments 6 pages, presented at NeurIPS'23 Workshop on Generative AI for Education (GAIED)

Graph Meets LLMs: Towards Large Graph Models

Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu

Comments Accepted by NeurIPS 2023 New Frontiers in Graph Learning Workshop. Comments are welcome

Anytime Model Selection in Linear Bandits

Parnian Kassraie, Nicolas Emmenegger, Andreas Krause, Aldo Pacchiano

Comments NeurIPS 2023, 37 pages

AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation

Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Chao Du, Tianyu Pang, Ruoteng Li, Henghui Ding, Ngai-Man Cheung

Comments 32 pages, update additional information, discussion, and experimental sections compared to NeurIPS-22 version: arXiv:2210.16559. arXiv admin note: substantial text overlap with arXiv:2210.16559

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach

Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy

Comments NeurIPS 2023 camera-ready version

GlyphControl: Glyph Conditional Control for Visual Text Generation

Yukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, Kai Chen

Comments Accepted by NeurIPS 2023. The codes have been released at https://github.com/AIGText/GlyphControl-release

Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection

Burhaneddin Yaman, Tanvir Mahmud, Chun-Hao Liu

Journal ref NeurIPS Workshop on Heavy Tails in ML, 2023