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NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17336
2211.04367 2022-11-09 cs.LG cs.CV

Much Easier Said Than Done: Falsifying the Causal Relevance of Linear Decoding Methods

Lucas Hayne, Abhijit Suresh, Hunar Jain, Rahul Kumar, R. McKell Carter

Comments 6 pages, 3 figures, to be published in I Can't Believe It's Note Better Workshop at NeurIPS 2022

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2211.04365 2022-11-09 astro-ph.IM astro-ph.CO astro-ph.GA

Strong-Lensing Source Reconstruction with Denoising Diffusion Restoration Models

Konstantin Karchev, Noemi Anau Montel, Adam Coogan, Christoph Weniger

Comments Accepted for the NeurIPS 2022 workshop Machine Learning and the Physical Sciences; 9 pages, 4 figures

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2211.04344 2022-11-09 cs.CR cs.AI cs.GT cs.LG

FLock: Defending Malicious Behaviors in Federated Learning with Blockchain

Nanqing Dong, Jiahao Sun, Zhipeng Wang, Shuoying Zhang, Shuhao Zheng

Comments Accepted by NeurIPS 2022 Workshop

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2211.04257 2022-11-09 cs.LG cs.AI q-bio.QM

Toward Human-AI Co-creation to Accelerate Material Discovery

Dmitry Zubarev, Carlos Raoni Mendes, Emilio Vital Brazil, Renato Cerqueira, Kristin Schmidt, Vinicius Segura, Juliana Jansen Ferreira, Dan Sanders

Comments 9 pages, 5 figures, NeurIPS 2022 WS: AI4Science

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2211.04248 2022-11-09 cs.LG cs.SI stat.ML

Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank

Ariel R. Ramos Vela, Johannes F. Lutzeyer, Anastasios Giovanidis, Michalis Vazirgiannis

Comments Accepted at the "NeurIPS 2022 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2022)"

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2211.04160 2022-11-09 astro-ph.EP cs.LG

A Neural Network Subgrid Model of the Early Stages of Planet Formation

Thomas Pfeil, Miles Cranmer, Shirley Ho, Philip J. Armitage, Tilman Birnstiel, Hubert Klahr

Comments 6 pages, 4 figures, accepted at the Machine Learning and the Physical Sciences workshop, NeurIPS 2022

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2211.04157 2022-11-09 cs.LG cs.AI cs.CR

Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack

Raksha Ramakrishna, György Dán

Comments 12 pages, 2022 Trustworthy and Socially Responsible Machine Learning (TSRML 2022) co-located with NeurIPS 2022

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2211.04104 2022-11-09 eess.IV cs.AI cs.LG

Selective compression learning of latent representations for variable-rate image compression

Jooyoung Lee, Seyoon Jeong, Munchurl Kim

Comments Accepted as a NeurIPS 2022 paper. [Github] https://github.com/JooyoungLeeETRI/SCR

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2211.04031 2022-11-09 cs.CV cs.AI

Hilbert Distillation for Cross-Dimensionality Networks

Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu

Comments Accepted at NeurIPS 2022

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2211.03984 2022-11-09 cs.LG cs.AI cs.IT math.IT stat.ME stat.ML

Causal Discovery in Linear Latent Variable Models Subject to Measurement Error

Yuqin Yang, AmirEmad Ghassami, Mohamed Nafea, Negar Kiyavash, Kun Zhang, Ilya Shpitser

Comments Accepted at 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

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2211.03972 2022-11-09 cs.LG math.OC

Quantization-Based Optimization: Alternative Stochastic Approximation of Global Optimization

Jinwuk Seok, Chang Sik Cho

Comments 25 pages, 3 figures, NeurIPS 2022 workshop OPT 2022 (14th Annual Workshop on Optimization for Machine Learning)

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2211.03925 2022-11-09 cs.LG physics.ao-ph

AutoML-based Almond Yield Prediction and Projection in California

Shiheng Duan, Shuaiqi Wu, Erwan Monier, Paul Ullrich

Comments Submitted to Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022

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2211.03923 2022-11-09 cs.CL cs.IR cs.LG

Proactive Detractor Detection Framework Based on Message-Wise Sentiment Analysis Over Customer Support Interactions

Juan Sebastián Salcedo Gallo, Jesús Solano, Javier Hernán García, David Zarruk-Valencia, Alejandro Correa-Bahnsen

Comments 10 pages, 4 figures, 1 table. Already accepted at NeurIPS 2022, LatinX in AI Workshop

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2211.03906 2022-11-09 physics.ao-ph

Learned 1-D advection solver to accelerate air quality modeling

Manho Park, Zhonghua Zheng, Nicole Riemer, Christopher W. Tessum

Comments Accepted as a workshop paper at the The Symbiosis of Deep Learning and Differential Equations (DLDE) - II in the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

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2211.03808 2022-11-09 cs.LG cs.AI q-bio.QM

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery

Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia Gel, Bulent Kiziltan

Comments NeurIPS, 2022 (36th Conference on Neural Information Processing Systems)

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2211.03148 2022-11-09 cs.CV cs.AI cs.LG

UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection

Pratinav Seth, Adil Khan, Ananya Gupta, Saurabh Kumar Mishra, Akshat Bhandari

Comments To Appear at Medical Imaging meets NeurIPS Workshop 2022

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2211.00416 2022-11-09 cs.LG cs.IT math.IT q-bio.NC

Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance

Kenzo Clauw, Sebastiano Stramaglia, Daniele Marinazzo

Comments Paper presented at InfoCog @ NeurIPS 2022

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2210.04251 2022-11-09 cs.LG cs.AI

State Advantage Weighting for Offline RL

Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li

Comments 3rd Offline RL workshop at NeurIPS 2022. arXiv admin note: text overlap with arXiv:2206.07989

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2209.10464 2022-11-09 cs.HC cs.CY

Quantifying attention via dwell time and engagement in a social media browsing environment

Ziv Epstein, Hause Lin, Gordon Pennycook, David Rand

Comments All Things Attention NeurIPS Workshop

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2209.02160 2022-11-09 cs.RO cs.AI

Improving Assistive Robotics with Deep Reinforcement Learning

Yash Jakhotiya, Iman Haque

Comments Accepted to the 2022 NeurIPS Deep RL Workshop

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2206.03093 2022-11-09 cs.LG math.OC stat.ML

Beyond spectral gap: The role of the topology in decentralized learning

Thijs Vogels, Hadrien Hendrikx, Martin Jaggi

Comments NeurIPS 2022

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2206.01802 2022-11-09 cs.LG cs.AI stat.ME

Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength

Jiageng Zhu, Hanchen Xie, Wael AbdAlmageed

Comments NeurIPS 2022 Workshop CML4Impact Workshop Camera Ready

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2206.00897 2022-11-09 cs.CV cs.CY

xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery

Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon

Comments Accepted to NeurIPS 2022. 10 pages (25 with references and supplement)

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2211.03769 2022-11-08 cs.AI cs.LG cs.RO

Are AlphaZero-like Agents Robust to Adversarial Perturbations?

Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh

Comments Accepted by Neurips 2022

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2211.03747 2022-11-08 astro-ph.IM astro-ph.GA cs.LG

Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference

Bingjie Wang, Joel Leja, Ashley Villar, Joshua S. Speagle

Comments 8 pages, 2 figures, accepted to the Machine Learning and the Physical Sciences workshop at NeurIPS 2022

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2211.03742 2022-11-08 cs.CL cs.AI cs.LG

Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations

Ashwani Bhat, Ashutosh Modi

Comments 19 Pages, Accepted at Workshop on Transfer Learning for Natural Language Processing, NeurIPS 2022

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2211.02869 2022-11-08 eess.SP cs.CV eess.IV

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes

Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan

Comments Accepted in the NeurIPS 2022 workshop on Tackling Climate Change with Machine Learning. Authors Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas contributed equally as researchers for the Frontier Development Lab (FDL) 2022

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2211.02768 2022-11-08 cs.LG stat.AP

Quantitative Assessment of Drought Impacts Using XGBoost based on the Drought Impact Reporter

Beichen Zhang, Fatima K. Abu Salem, Michael J. Hayes, Tsegaye Tadesse

Comments 4 pages with 2 figures and 1 table. NeurIPS workshop on Tackling Climate Change with Machine Learning, 2020

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2209.07509 2022-11-08 cs.LG

Random initialisations performing above chance and how to find them

Frederik Benzing, Simon Schug, Robert Meier, Johannes von Oswald, Yassir Akram, Nicolas Zucchet, Laurence Aitchison, Angelika Steger

Comments NeurIPS 2022, 14th Annual Workshop on Optimization for Machine Learning (OPT2022)

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2211.03583 2022-11-08 cs.LG eess.SP

pyGSL: A Graph Structure Learning Toolkit

Max Wasserman, Gonzalo Mateos

Comments Accepted at NeurIPS 2022: New Frontiers in Graph Learning Workshop

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