NeurIPS

Generating Images with Multimodal Language Models

Jing Yu Koh, Daniel Fried, Ruslan Salakhutdinov

Comments NeurIPS 2023. Project page: http://jykoh.com/gill

SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model

Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang

Comments Accepted by NeurIPS 2023 Datasets and Benchmarks Track

DataPerf: Benchmarks for Data-Centric AI Development

Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Smriti Raje, Max Bartolo, Sabri Eyuboglu, Amirata Ghorbani, Emmett Goodman, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen Paritosh, Lilith Bat-Leah, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Ng, Peter Mattson, Vijay Janapa Reddi

Comments NeurIPS 2023 Datasets and Benchmarks Track

Concentration of Data Encoding in Parameterized Quantum Circuits

Guangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang

Comments 26 pages including appendix

Journal ref Advances in Neural Information Processing Systems (NeurIPS), 2022, 35: 19456-19469

Power and limitations of single-qubit native quantum neural networks

Zhan Yu, Hongshun Yao, Mujin Li, Xin Wang

Comments 22 pages including appendix. To appear at NeurIPS 2022

Journal ref Advances in Neural Information Processing Systems (NeurIPS), 2022, 35: 27810-27823

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization

Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender

Comments NeurIPS D&B 2023

Cross-Episodic Curriculum for Transformer Agents

Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby, Linxi "Jim" Fan, Yuke Zhu

Comments To appear in NeurIPS 2023; The first two authors contributed equally

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Yazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu

Comments NeurIPS 2023 Spotlight

TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion

Preetha Vijayan, Prashant Bhat, Elahe Arani, Bahram Zonooz

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

Core-sets for Fair and Diverse Data Summarization

Sepideh Mahabadi, Stojan Trajanovski

Comments NeurIPS 2023

Refined Mechanism Design for Approximately Structured Priors via Active Regression

Christos Boutsikas, Petros Drineas, Marios Mertzanidis, Alexandros Psomas, Paritosh Verma

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

On the Robustness of Mechanism Design under Total Variation Distance

Anuran Makur, Marios Mertzanidis, Alexandros Psomas, Athina Terzoglou

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

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets

Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal

Comments Accepted NeurIPS 2023

Journal ref NeurIPS 2023

Expert load matters: operating networks at high accuracy and low manual effort

Sara Sangalli, Ertunc Erdil, Ender Konukoglu

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

Conditional Mutual Information for Disentangled Representations in Reinforcement Learning

Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht

Comments Conference on Neural Information Processing Systems (NeurIPS), 2023

SatLM: Satisfiability-Aided Language Models Using Declarative Prompting

Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett

Comments NeurIPS 2023

Generalization bounds for neural ordinary differential equations and deep residual networks

Pierre Marion

Comments NeurIPS 2023, 21 pages, 2 figures

Data-Centric Learning from Unlabeled Graphs with Diffusion Model

Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang

Comments Accepted by NeurIPS 2023

Speculative Decoding with Big Little Decoder

Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer

Comments NeurIPS 2023

Participatory Personalization in Classification

Hailey Joren, Chirag Nagpal, Katherine Heller, Berk Ustun

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

Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability

Hanlin Zhu, Amy Zhang

Comments NeurIPS 2023, 22 pages

PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection

Qiang Zhou, Weize Li, Lihan Jiang, Guoliang Wang, Guyue Zhou, Shanghang Zhang, Hao Zhao

Comments Accepted by NeurIPS 2023. Codes are available at https://github.com/EricLee0224/PAD

FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation

Xinyu Sun, Peihao Chen, Jugang Fan, Thomas H. Li, Jian Chen, Mingkui Tan

Comments Accepted by NeurIPS 2023

An Ontology of Co-Creative AI Systems

Zhiyu Lin, Mark Riedl

Comments Submitted to NeurIPS Workshop on ML for Creativity and Design 2023

DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation

Qingkai Fang, Yan Zhou, Yang Feng

Comments NeurIPS 2023. Audio samples are available at https://ictnlp.github.io/daspeech-demo/

Why Does Sharpness-Aware Minimization Generalize Better Than SGD?

Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu

Comments 52 pages, 4 figures, 2 tables. In NeurIPS 2023

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu

Comments 23 pages, 20 figures, 11 tables, accepted by NeurIPS as a Spotlight

Neural Relational Inference with Fast Modular Meta-learning

Ferran Alet, Erica Weng, Tomás Lozano Pérez, Leslie Pack Kaelbling

Comments Published as a conference paper in NeurIPs 2019

FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han

Comments 32 pages

Journal ref NeurIPS 2023

ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram

Jungwoo Oh, Gyubok Lee, Seongsu Bae, Joon-myoung Kwon, Edward Choi

Comments Accepted at NeurIPS 2023 Datasets and Benchmarks Track (10 pages for main text, 2 pages for references, 28 pages for supplementary materials)