NeurIPS

Bandit Quickest Changepoint Detection

Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan

Comments Some typos fixed in the NeurIPS 2021 version

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehu Torres Vega, Caleb Robinson, Juan M Lavista Ferres

Comments In submission to NeurIPS 2023 Track Datasets and Benchmarks

Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture

Libin Zhu, Chaoyue Liu, Mikhail Belkin

Comments NeurIPS 2022

Single-Stage Visual Relationship Learning using Conditional Queries

Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos

Comments Accepted to NeurIPS 2022

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis

Comments Accepted to NeurIPS 2022. Dataset Url: https://dgraph.xinye.com/

Context-NER : Contextual Phrase Generation at Scale

Himanshu Gupta, Shreyas Verma, Santosh Mashetty, Swaroop Mishra

Comments 29 pages, 5 Figures, 2 AlgorithmS, 17 Tables. Accepted in NeurIPS 2022 - Efficient Natural Language and Speech Processing (ENLSP) Workshop

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models

Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan

Comments ACL 2023. A shorter version of the paper was accepted at the MATH-AI Workshop at NeurIPS 2022. 15 pages, 8 figures

The Two Word Test: A Semantic Benchmark for Large Language Models

Nicholas Riccardi, Rutvik H. Desai

Comments 12 pages, 5 figures, 3 tables, submitted to NeurIPS 2023 Datasets and Benchmarks Track

Limits, approximation and size transferability for GNNs on sparse graphs via graphops

Thien Le, Stefanie Jegelka

Comments NeurIPS 2023 submission, 34 pages

Decentralized Technologies for AI Hubs

Richard Blythman, Mohamed Arshath, Salvatore Vivona, Jakub Smékal, Hithesh Shaji

Comments arXiv admin note: substantial text overlap with arXiv:2210.16651

Journal ref 2022 Conference on Neural Information Processing Systems Workshops

DevFormer: A Symmetric Transformer for Context-Aware Device Placement

Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park

Comments International Conference on Machine Learning (ICML) 2023. Extended version of NeurIPS 2022 Offline RL Workshop "Collaborative symmetricity exploitation for offline learning of hardware design solver"

Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters

Zhenyu Sun, Xiaochun Niu, Ermin Wei

Comments Submitted to NeurIPS 2023

A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning

Zhenyu Sun, Ermin Wei

Comments Accepted by NeurIPS 2022

Agents Explore the Environment Beyond Good Actions to Improve Their Model for Better Decisions

Matthias Unverzagt

Comments Submitted to NeurIPS 2023

Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior

Ayush Chakravarthy, Trang Nguyen, Anirudh Goyal, Yoshua Bengio, Michael C. Mozer

Comments 16 pages, 3 figures, under review at NeurIPS 2023

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs

Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng

Comments NeurIPS 2022

Journal ref Advances in Neural Information Processing Systems 35 (2022): 20287-20299

Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks

Paolo Muratore, Sina Tafazoli, Eugenio Piasini, Alessandro Laio, Davide Zoccolan

Comments 11 pages, 5 fiures

Journal ref Advances in Neural Information Processing Systems (2022) Vol. 35 pp. 30206-30218

Smoothed Embeddings for Certified Few-Shot Learning

Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets

Journal ref Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions

Bruno Loureiro, Gabriele Sicuro, Cédric Gerbelot, Alessandro Pacco, Florent Krzakala, Lenka Zdeborová

Comments 12 pages + 34 pages of Appendix, 10 figures

Journal ref Advances in Neural Information Processing Systems 34 (2021): 10144-10157

A Closer Look at the Adversarial Robustness of Deep Equilibrium Models

Zonghan Yang, Tianyu Pang, Yang Liu

Comments Accepted at NeurIPS 2022. Our code is available at https://github.com/minicheshire/DEQ-White-Box-Robustness

Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks

Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu

Comments Accepted to T-PAMI. Journal version of our NeurIPS 2021 work: arXiv:2106.02034. Code is available at https://github.com/raoyongming/DynamicViT

AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions

Florent Bonnet, Ahmed Jocelyn Mazari, Paola Cinnella, Patrick Gallinari

Journal ref 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks

Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss

Aleksandros Sobczyk, Mathieu Luisier

Comments To appear NeurIPS 2022

Journal ref https://papers.nips.cc/paper_files/paper/2022/hash/7ac1846846f02b42dcfab5c40bc6ae56-Abstract-Conference.html

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Martin Wistuba, Arlind Kadra, Josif Grabocka

Comments Accepted at NeurIPS 2022

Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks

Dan Zhao

Journal ref Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 3024--3038

Multi-View Interactive Collaborative Filtering

Maria Lentini, Umashanger Thayasivam

Comments Submitted to NeurIPS 2023. Under review

Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning

Mingyu Derek Ma, Jiun-Yu Kao, Shuyang Gao, Arpit Gupta, Di Jin, Tagyoung Chung, Nanyun Peng

Comments In the INTERSPEECH 2023, and the Second Workshop on Efficient Natural Language and Speech Processing (ENLSP) at NeurIPS 2022

WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting

Youngin Cho, Daejin Kim, Dongmin Kim, Mohammad Azam Khan, Jaegul Choo

Comments NeurIPS 2022

Mining Multi-Label Samples from Single Positive Labels

Youngin Cho, Daejin Kim, Mohammad Azam Khan, Jaegul Choo

Comments NeurIPS 2022

X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models

Yixiong Chen, Li Liu, Chris Ding

Comments 18 pages, 6 tables, 11 figures, NeurIPS 2023 submission