NeurIPS

On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources

Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung

Comments NeurIPS 2021

Journal ref Proceedings of Advances in Neural Information Processing Systems (2021) 27720-27733

Synthetic Tumor Manipulation: With Radiomics Features

Inye Na, Jonghun Kim, Hyunjin Park

Comments Paper accepted at NeurIPS 2023 Workshop: Medical Imaging meets NeurIPS

UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition

Qiufu Li, Xi Jia, Jiancan Zhou, Linlin Shen, Jinming Duan

Comments Accepted by Neurips 2023

Forecasting Post-Wildfire Vegetation Recovery in California using a Convolutional Long Short-Term Memory Tensor Regression Network

Jiahe Liu, Xiaodi Wang

Comments To be included in the 6th Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response at the 37th Conference on Neural Information Processing Systems

NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications

Robert Tjarko Lange, Yujin Tang, Yingtao Tian

Comments 22 pages, 20 figures, 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks

FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation

Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Sina Abdidizaji, Ozlem Ozmen Garibay

Comments Accepted at the NeurIPS workshop (AI4D3) - 2023

LLMs grasp morality in concept

Mark Pock, Andre Ye, Jared Moore

Comments Presented at NeurIPS 2023 Moral Pyschology and Moral Philosophy workshop

Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance

Ryan Boldi, Li Ding, Lee Spector

Comments Published at the Workshop on Agent Learning in Open-Endedness (ALOE) at NeurIPS 2023

LLMs-augmented Contextual Bandit

Ali Baheri, Cecilia O. Alm

Comments Accepted by the Foundation Models for Decision Making workshop at NeurIPS 2023

Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation

Can Koz, Onat Dalmaz, Mertay Dayanc

Comments Medical Imaging meets NeurIPS 2023

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics

Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül

Comments Accepted at NeurIPS 2023

Equal Opportunity of Coverage in Fair Regression

Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu

Comments Accepted to NeurIPS 2023 main conference

Structured Neural Networks for Density Estimation and Causal Inference

Asic Q. Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G. Krishnan

Comments 10 pages with 5 figures, to be published in Neural Information Processing Systems 2023

AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation

Daiki E. Matsunaga, Jongmin Lee, Jaeseok Yoon, Stefanos Leonardos, Pieter Abbeel, Kee-Eung Kim

Comments 31 pages, 12 figures, Accepted at NeurIPS 2023

Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs

Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen

Comments Accepted by NeurIPS 2023

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li

Comments This paper is accepted by NeurIPS 2023. The first two authors contributed equally to this work. 30 pages

Uncertainty Quantification via Neural Posterior Principal Components

Elias Nehme, Omer Yair, Tomer Michaeli

Comments NeurIPS 2023 Camera Ready, interactive examples at https://eliasnehme.github.io/NPPC/

DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li

Comments Accepted at NeurIPS 2023

Spatial-frequency channels, shape bias, and adversarial robustness

Ajay Subramanian, Elena Sizikova, Najib J. Majaj, Denis G. Pelli

Comments Neural Information Processing Systems (NeurIPS) 2023 (Oral Presentation). Camera-ready version

Low Tensor Rank Learning of Neural Dynamics

Arthur Pellegrino, N Alex Cayco-Gajic, Angus Chadwick

Comments The last two authors contributed equally - Accepted at NeurIPS 2023

Is RLHF More Difficult than Standard RL?

Yuanhao Wang, Qinghua Liu, Chi Jin

Comments Accepted for presentation at NeurIPS 2023; 29 pages

Sparse Modular Activation for Efficient Sequence Modeling

Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai

Comments Accepted by NeurIPS 2023. Camera-ready Version

CAT-Walk: Inductive Hypergraph Learning via Set Walks

Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer

Comments NeurIPS 2023

Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models

Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye

Comments NeurIPS 2023

Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model

Yida Chen, Fernanda Viégas, Martin Wattenberg

Comments A short version of this paper is accepted in the NeurIPS 2023 Workshop on Diffusion Models: https://nips.cc/virtual/2023/74894

Benchmarking Foundation Models with Language-Model-as-an-Examiner

Yushi Bai, Jiahao Ying, Yixin Cao, Xin Lv, Yuze He, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Yijia Xiao, Haozhe Lyu, Jiayin Zhang, Juanzi Li, Lei Hou

Comments NeurIPS 2023 Datasets and Benchmarks

Adaptive Data Analysis in a Balanced Adversarial Model

Kobbi Nissim, Uri Stemmer, Eliad Tsfadia

Comments Accepted to NeurIPS 2023 (Spotlight)

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He

Comments Published as a conference paper at NeurIPS 2023

Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness

Chung-En Tsai, Ying-Ting Lin, Yen-Huan Li

Comments 37 pages, typos fixed, NeurIPS 2023

Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator

Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

Journal ref NeurIPS 2023