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NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17329
2312.07405 2023-12-13 cs.CL cs.LG

ICL Markup: Structuring In-Context Learning using Soft-Token Tags

Marc-Etienne Brunet, Ashton Anderson, Richard Zemel

Comments R0-FoMo: Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models at NeurIPS 2023

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2312.07168 2023-12-13 cs.LG cs.AI

Equivariant Flow Matching with Hybrid Probability Transport

Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma

Comments NeurIPS 2023

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2312.06979 2023-12-13 eess.IV cs.CV cs.LG

On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Images

Gauri Bhardwaj, Yuvaraj Govindarajulu, Sundaraparipurnan Narayanan, Pavan Kulkarni, Manojkumar Parmar

Comments Accepted at 37th Conference on Neural Information Processing Systems (NeurIPS 2023) - "Medical Imaging Meets NeurIPS" Workshop

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2312.06932 2023-12-13 cs.LG q-bio.NC

Predictive variational autoencoder for learning robust representations of time-series data

Julia Huiming Wang, Dexter Tsin, Tatiana Engel

Comments 16 pages, 4 main figures, 4 supplemental figures, accepted for publication at Unireps Workshop in 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

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2312.06909 2023-12-13 hep-ex physics.comp-ph

Pre-training strategy using real particle collision data for event classification in collider physics

Tomoe Kishimoto, Masahiro Morinaga, Masahiko Saito, Junichi Tanaka

Comments Presented at the Machine Learning and the Physical Sciences Workshop, NeurIPS 2023

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2312.06881 2023-12-13 cs.LG cs.CL

DYAD: A Descriptive Yet Abjuring Density efficient approximation to linear neural network layers

Sarin Chandy, Varun Gangal, Yi Yang, Gabriel Maggiotti

Comments Accepted at WANT workshop at NeurIPS 2023; code at https://github.com/asappresearch/dyad

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2312.06869 2023-12-13 cs.LG cs.AI

Adversarial Estimation of Topological Dimension with Harmonic Score Maps

Eric Yeats, Cameron Darwin, Frank Liu, Hai Li

Comments Accepted to the NeurIPS'23 Workshop on Diffusion Models

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2312.06845 2023-12-13 physics.space-ph astro-ph.EP cs.LG

High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery

Shreshth A. Malik, James Walsh, Giacomo Acciarini, Thomas E. Berger, Atılım Güneş Baydin

Comments Accepted at the Machine Learning and the Physical Sciences workshop, NeurIPS 2023

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2312.05994 2023-12-13 cs.SD cs.IR eess.AS

mir_ref: A Representation Evaluation Framework for Music Information Retrieval Tasks

Christos Plachouras, Pablo Alonso-Jiménez, Dmitry Bogdanov

Comments Machine Learning for Audio Workshop, Neural Information Processing Systems (NeurIPS) 2023, New Orleans, LA

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2312.05180 2023-12-13 cs.CL

PathFinder: Guided Search over Multi-Step Reasoning Paths

Olga Golovneva, Sean O'Brien, Ramakanth Pasunuru, Tianlu Wang, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz

Comments NeurIPS 2023 R0-FoMo Workshop

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2312.04837 2023-12-13 cs.AI cs.CL cs.CV

Localized Symbolic Knowledge Distillation for Visual Commonsense Models

Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi

Comments Neurips 2023

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2312.00258 2023-12-13 physics.ao-ph cs.AI cs.LG

Precipitation Nowcasting With Spatial And Temporal Transfer Learning Using Swin-UNETR

Ajitabh Kumar

Comments arXiv admin note: substantial text overlap with arXiv:2311.17961; NeurIPS 2023

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2310.16285 2023-12-13 astro-ph.CO astro-ph.GA astro-ph.IM cs.LG

Removing Dust from CMB Observations with Diffusion Models

David Heurtel-Depeiges, Blakesley Burkhart, Ruben Ohana, Bruno Régaldo-Saint Blancard

Comments 5+6 pages, 2+3 figures, accepted at the NeurIPS 2023 workshop on "Machine Learning and the Physical Sciences" and selected for a spotlight talk

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2310.04816 2023-12-13 cs.CV cs.AI cs.LG

Hacking Generative Models with Differentiable Network Bending

Giacomo Aldegheri, Alina Rogalska, Ahmed Youssef, Eugenia Iofinova

Comments 12 pages, 10 figures, Machine Learning for Creativity and Design Workshop at NeurIPS 2023

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2309.12821 2023-12-13 q-bio.NC cs.AI

A Spectral Theory of Neural Prediction and Alignment

Abdulkadir Canatar, Jenelle Feather, Albert Wakhloo, SueYeon Chung

Comments First two authors contributed equally. NeurIPS 2023

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2308.11488 2023-12-13 cs.CV

Opening the Vocabulary of Egocentric Actions

Dibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao

Comments NeurIPS 2023 camera ready; https://dibschat.github.io/openvocab-egoAR/

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2306.12424 2023-12-13 cs.CV cs.CL

VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution

Siobhan Mackenzie Hall, Fernanda Gonçalves Abrantes, Hanwen Zhu, Grace Sodunke, Aleksandar Shtedritski, Hannah Rose Kirk

Comments NeurIPS Datasets and Benchmarks 2023. Data and code available at https://github.com/oxai/visogender

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2306.03241 2023-12-13 cs.LG cs.AI cs.CL

Early Weight Averaging meets High Learning Rates for LLM Pre-training

Sunny Sanyal, Atula Neerkaje, Jean Kaddour, Abhishek Kumar, Sujay Sanghavi

Comments 17 pages, 13 figures, presented at NeurIPs 2023 WANT workshop

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2305.20009 2023-12-13 cs.LG q-bio.BM

Protein Design with Guided Discrete Diffusion

Nate Gruver, Samuel Stanton, Nathan C. Frey, Tim G. J. Rudner, Isidro Hotzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Gordon Wilson

Journal ref Advances in Neural Information Processing Systems 36, December 10-16, 2023

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2206.04281 2023-12-13 cs.CV cs.LG

Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis

Mengwei Ren, Neel Dey, Martin A. Styner, Kelly Botteron, Guido Gerig

Comments Accepted at NeurIPS 2022

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2203.16218 2023-12-13 cs.IR cs.AI cs.LG

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction

Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng

Comments NeurIPS 2022, 16 pages; The first two authors contributed equally to this work

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2312.06728 2023-12-13 cs.CV astro-ph.CO astro-ph.GA astro-ph.IM

A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection

Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Hyunh, Lars Petersson

Comments Accepted in NeurIPS 2023 conference ML4PS workshop (https://nips.cc/). The full version accepted in PASA, is available at https://doi.org/10.1017/pasa.2023.64

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2310.18368 2023-12-13 cs.CL

Muslim-Violence Bias Persists in Debiased GPT Models

Babak Hemmatian, Razan Baltaji, Lav R. Varshney

Comments 2 pages, 2 figures. This work will be presented at MusIML neurips workshop

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2306.10711 2023-12-13 cs.LG

PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning

Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun

Comments 26 pages, 6 figures, accepted to NeurIPS 2023

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2312.06654 2023-12-12 cs.CV cs.LG

LightSim: Neural Lighting Simulation for Urban Scenes

Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun

Comments NeurIPS 2023. Project page: https://waabi.ai/lightsim/

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2312.06652 2023-12-12 cs.AI cs.CL

Building Domain-Specific LLMs Faithful To The Islamic Worldview: Mirage or Technical Possibility?

Shabaz Patel, Hassan Kane, Rayhan Patel

Comments Accepted for Muslims in ML workshop at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

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2312.06647 2023-12-12 cs.CV cs.AI cs.LG

4M: Massively Multimodal Masked Modeling

David Mizrahi, Roman Bachmann, Oğuzhan Fatih Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir

Comments NeurIPS 2023 Spotlight. Project page at https://4m.epfl.ch/

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2312.06642 2023-12-12 cs.CV

CorresNeRF: Image Correspondence Priors for Neural Radiance Fields

Yixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao

Journal ref NeurIPS 2023

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2312.06616 2023-12-12 cs.LG physics.soc-ph stat.ME

The built environment and induced transport CO2 emissions: A double machine learning approach to account for residential self-selection

Florian Nachtigall, Felix Wagner, Peter Berrill, Felix Creutzig

Comments NeurIPS 2023 Workshop 'Tackling Climate Change with Machine Learning' - Spotlight Talk

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2312.06568 2023-12-12 cs.LG cs.AI cs.CR

Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets

Subhajit Dutta Chowdhury, Zhiyu Ni, Qingyuan Peng, Souvik Kundu, Pierluigi Nuzzo

Comments Accepted at NeurIPS 2023 GLFrontiers Workshop

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