NeurIPS

Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for Polish

Michał Junczyk

Comments Submitted to NeurIPS 2024 Datasets and Benchmarks Track

Temporally Disentangled Representation Learning under Unknown Nonstationarity

Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric Xing, Kun Zhang

Comments NeurIPS 2023. arXiv admin note: text overlap with arXiv:2210.13647

What You See is What You Classify: Black Box Attributions

Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Perez-Cruz, Michele Volpi

Journal ref Advances in Neural Information Processing Systems 35 (2022) 84-94

dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans

Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick

Comments Under review @ NeurIPS 2024 (Datasets and Benchmarks Track)

DeepSpeech models show Human-like Performance and Processing of Cochlear Implant Inputs

Cynthia R. Steinhardt, Menoua Keshishian, Nima Mesgarani, Kim Stachenfeld

Comments NEURIPS preprint

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning

Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen

Comments Substantial extensions based on our previous conference version "Backdoorbench: A comprehensive benchmark of backdoor learning" published at NeurIPS D&B Track 2022. 20 backdoor attack algorithms, 32 backdoor defense algorithms, 11000+ pairs of attack-against-defense evaluations, 10 analyses, 18 analysis tools

Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction

Yuan Xue, Nan Du, Anne Mottram, Martin Seneviratne, Andrew M. Dai

Comments NeurIPS 2020

LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models

Ruiyi Zhang, Yufan Zhou, Jian Chen, Jiuxiang Gu, Changyou Chen, Tong Sun

Comments NeurIPS 2024 Under Review

Improving Online Algorithms via ML Predictions

Ravi Kumar, Manish Purohit, Zoya Svitkina

Comments Conference version appeared in Neurips 2018

ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer

Haoran You, Huihong Shi, Yipin Guo, Yingyan Celine Lin

Comments Accepted by NeurIPS 2023

Kernel Memory Networks: A Unifying Framework for Memory Modeling

Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner

Comments 24 pages, 5 figures. This is the version published in the NeurIPS 2022 proceedings

Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study

Alissa A. Valentine, Alexander W. Charney, Isotta Landi

Comments NeurIPS: Queer in AI Workshop [QueerIPS], New Orleans, December 2023

A Simple and Optimal Policy Design with Safety against Heavy-Tailed Risk for Stochastic Bandits

David Simchi-Levi, Zeyu Zheng, Feng Zhu

Comments Preliminary version appeared in NeurIPS 2022

SignSpeak: Open-Source Time Series Classification for ASL Translation

Aditya Makkar, Divya Makkar, Aarav Patel, Liam Hebert

Comments 6 pages, 2 figures, NeurIPS

LAB-Bench: Measuring Capabilities of Language Models for Biology Research

Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, Michaela M. Hinks, Michael J. Hammerling, Siddharth Narayanan, Manvitha Ponnapati, Andrew D. White, Samuel G. Rodriques

Comments 40 pages, 5 main figures, 1 main table, 2 supplemental figures, 4 supplemental tables. Submitted to NeurIPS 2024 Datasets and Benchmarks track (in review)

Mode Connectivity in Auction Design

Christoph Hertrich, Yixin Tao, László A. Végh

Comments Conference paper published at NeurIPS 2023

Towards Lower Bounds on the Depth of ReLU Neural Networks

Christoph Hertrich, Amitabh Basu, Marco Di Summa, Martin Skutella

Comments Authors' accepted manuscript for SIAM Journal on Discrete Mathematics. A preliminary conference version appeared at NeurIPS 2021

Journal ref SIAM Journal on Discrete Mathematics 2023 37:2, 997-1029

Detection of Malaria Vector Breeding Habitats using Topographic Models

Aishwarya Jadhav

Comments Presented at ML4D Workshop, NeurIPS 2020. Proceedings available: arXiv:2101.04347. Also presented at MLPH Workshop, NeurIPS 2020. Awarded Best Paper. Recording available https://slideslive.com/38938356/detection-of-malaria-vector-breedding-habitats-using-topographic-models

When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C, Benjamin Feuer, Chinmay Hegde, Ganesh Ramakrishnan, Micah Goldblum, Colin White

Comments NeurIPS Datasets and Benchmarks Track 2023

GraphPrint: Extracting Features from 3D Protein Structure for Drug Target Affinity Prediction

Amritpal Singh

Comments Accepted: The NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development (AI4D3 2023), New Orleans, LA, USA, 2023

Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach

Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran

Journal ref Thirty-seventh Conference on Neural Information Processing Systems Workshop on Medical Imaging meets NeurIPS 2023

What Makes a Good Explanation?: A Harmonized View of Properties of Explanations

Zixi Chen, Varshini Subhash, Marton Havasi, Weiwei Pan, Finale Doshi-Velez

Comments Short version accepted at NeurIPS 2022 workshops on Progress and Challenges in Building Trustworthy Embodied AI and Trustworthy and Socially Responsible Machine Learning

Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation

Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith

Comments NeurIPS 2023

Machine Learning Assisted Design of mmWave Wireless Transceiver Circuits

Xuzhe Zhao

Comments Portions of Chapter 3 to 5 are adapted to form the paper that is currently under review as "AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design", in the 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks. Detailed information is provided in the Acknowledgments section

Towards a General Framework for Continual Learning with Pre-training

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

Comments This is a concise version of our HiDe-Prompt, presented in the IMOL workshop (non-archival track) in NeurIPS 2023. arXiv admin note: substantial text overlap with arXiv:2310.07234

ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation

Sungduk Yu, Zeyuan Hu, Akshay Subramaniam, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius J. M. Busecke, Nora Loose, Charles I. Stern, Tom Beucler, Bryce Harrop, Helge Heuer, Benjamin R. Hillman, Andrea Jenney, Nana Liu, Alistair White, Tian Zheng, Zhiming Kuang, Fiaz Ahmed, Elizabeth Barnes, Noah D. Brenowitz, Christopher Bretherton, Veronika Eyring, Savannah Ferretti, Nicholas Lutsko, Pierre Gentine, Stephan Mandt, J. David Neelin, Rose Yu, Laure Zanna, Nathan Urban, Janni Yuval, Ryan Abernathey, Pierre Baldi, Wayne Chuang, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Po-Lun Ma, Sara Shamekh, Guang Zhang, Michael Pritchard

Comments This manuscript is an expanded version of our paper that received the Outstanding Paper Award at the NeurIPS 2023 conference

SmartChoices: Augmenting Software with Learned Implementations

Daniel Golovin, Gabor Bartok, Eric Chen, Emily Donahue, Tzu-Kuo Huang, Efi Kokiopoulou, Ruoyan Qin, Nikhil Sarda, Justin Sybrandt, Vincent Tjeng

Comments Accepted as a workshop paper at the Machine Learning for Systems Workshop at NeurIPS 2023

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Ma, Yitao Liang

Comments NeurIPS 2023

Measurement Embedded Schrödinger Bridge for Inverse Problems

Yuang Wang, Pengfei Jin, Siyeop Yoon, Matthew Tivnan, Quanzheng Li, Li Zhang, Dufan Wu

Comments 14 pages, 2 figures, Neurips preprint

Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset

Rui Liu, Haolin Zuo, Zheng Lian, Xiaofen Xing, Björn W. Schuller, Haizhou Li

Comments 26 pages, 8 figures, 12 tables, NeurIPS 2024 Dataset and Benchmark Track