NeurIPS

WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope

Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Wangmeng Xiang, Yusen Hu, Xianhui Lin, Xiaoyang Kang, Zengke Jin, Bin Luo, Yifeng Geng, Xuansong Xie, Jingren Zhou

Comments Spotlight Paper at the Workshop on Machine Learning for Creativity and Design, 37th Conference on Neural Information Processing Systems (NeurIPS 2023). 5 pages, 5 figures

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang

Comments Accepted at NeurIPS 2023

Aligning Language Models with Human Preferences via a Bayesian Approach

Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li

Comments NeurIPS 2023

iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models

Tianyu Chen, Kevin Bello, Bryon Aragam, Pradeep Ravikumar

Comments 36 pages, 18 figures. Published at NeurIPS 2023

Learning and Collusion in Multi-unit Auctions

Simina Brânzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han

Comments 40 pages, 1 figure. In Proceedings of NeurIPS 2023

The Quantization Model of Neural Scaling

Eric J. Michaud, Ziming Liu, Uzay Girit, Max Tegmark

Comments 24 pages, 18 figures, NeurIPS 2023

Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy

Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla

Comments 11 pages, 4 figures, 1 table. Corrected typos. Originally published in Machine Learning and the Physical Sciences Workshop (NeurIPS 2021), see: https://ml4physicalsciences.github.io/2021/files/NeurIPS_ML4PS_2021_92.pdf. Our reproducibility code can be found at https://github.com/mhibatallah/RNNWavefunctions

Journal ref Machine Learning and the Physical Sciences, NeurIPS 2021

Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test

Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina MC Höhne

Comments 19 pages, 12 figures, NeurIPS XAIA 2023

De novo Drug Design using Reinforcement Learning with Multiple GPT Agents

Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang

Comments Accepted by NeurIPS 2023

Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion

Alex Morehead, Jeffrey Ruffolo, Aadyot Bhatnagar, Ali Madani

Comments 15 pages, 11 figures, presented at the NeurIPS 2023 Machine Learning in Structural Biology (MLSB) workshop. Code available at https://github.com/Profluent-Internships/MMDiff

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

Dipam Goswami, Yuyang Liu, Bartłomiej Twardowski, Joost van de Weijer

Comments Accepted at NeurIPS 2023

Improving Language Plasticity via Pretraining with Active Forgetting

Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe

Comments NeurIPS 2023 Final Version

A Unified Approach for Maximizing Continuous DR-submodular Functions

Mohammad Pedramfar, Christopher John Quinn, Vaneet Aggarwal

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

Bridging RL Theory and Practice with the Effective Horizon

Cassidy Laidlaw, Stuart Russell, Anca Dragan

Journal ref NeurIPS 2023 (Oral)

OKRidge: Scalable Optimal k-Sparse Ridge Regression

Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin

Comments NeurIPS 2023 Spotlight

PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation

Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang YU, Tao Chen

Comments Accepted to NeurIPS 2023

Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures

Runa Eschenhagen, Alexander Immer, Richard E. Turner, Frank Schneider, Philipp Hennig

Comments NeurIPS 2023

EarthPT: a time series foundation model for Earth Observation

Michael J. Smith, Luke Fleming, James E. Geach

Comments 7 pages, 4 figures, accepted to NeurIPS CCAI workshop at https://www.climatechange.ai/papers/neurips2023/2 . Code available at https://github.com/aspiaspace/EarthPT

Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model

Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel

Journal ref Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Louisiana, USA, 2023

Fine-Tuning Language Models with Just Forward Passes

Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora

Comments Accepted by NeurIPS 2023 (oral). Code available at https://github.com/princeton-nlp/MeZO

Graph Q-Learning for Combinatorial Optimization

Victoria M. Dax, Jiachen Li, Kevin Leahy, Mykel J. Kochenderfer

Journal ref GLIndA Workshop NeurIPS 2022

Autoregressive fragment-based diffusion for pocket-aware ligand design

Mahdi Ghorbani, Leo Gendelev, Paul Beroza, Michael J. Keiser

Comments Accepted, NeurIPS 2023 Generative AI and Biology Workshop. OpenReview: https://openreview.net/forum?id=E3HN48zjam

Rethinking Performance Measures of RNA Secondary Structure Problems

Frederic Runge, Jörg K. H. Franke, Daniel Fertmann, Frank Hutter

Comments 12 pages, Accepted at the Machine Learning for Structural Biology Workshop, NeurIPS 2023

Meta-Adapter: An Online Few-shot Learner for Vision-Language Model

Cheng Cheng, Lin Song, Ruoyi Xue, Hang Wang, Hongbin Sun, Yixiao Ge, Ying Shan

Comments Accepted by NeurIPS 2023

Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization

Jameel Hassan, Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan

Comments Accepted to NeurIPS 2023

Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding

Jiangyan Ma, Yifei Wang, Yisen Wang

Comments In Thirty-seventh Conference on Neural Information Processing Systems (2023)

Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?

Yutong He, Xinmeng Huang, Kun Yuan

Comments Accepted by NeurIPS 2023

On the Convergence of Black-Box Variational Inference

Kyurae Kim, Jisu Oh, Kaiwen Wu, Yi-An Ma, Jacob R. Gardner

Comments Accepted to NeurIPS'23; previous title: "Black-Box Variational Inference Converges"

Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization

Liang Zhang, Junchi Yang, Amin Karbasi, Niao He

Comments NeurIPS 2023 Spotlight

Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles

Benjamin S. Ruben, Cengiz Pehlevan

Comments NeurIPS 2023 Camera-Ready. Contains significant updates from the original submission

Journal ref Advances in Neural Information Processing Systems 36 (2023)