NeurIPS

Subsidiary Prototype Alignment for Universal Domain Adaptation

Jogendra Nath Kundu, Suvaansh Bhambri, Akshay Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu

Comments NeurIPS 2022. Project page: https://sites.google.com/view/spa-unida

Differentiable Analog Quantum Computing for Optimization and Control

Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming Lin, Xiaodi Wu

Comments Code available at https://github.com/YilingQiao/diffquantum

Journal ref In the Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

PatchRot: A Self-Supervised Technique for Training Vision Transformers

Sachin Chhabra, Prabal Bijoy Dutta, Hemanth Venkateswara, Baoxin Li

Comments NeurIPS Workshop on Vision Transformers: Theory and Applications (VTTA)

UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification

Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov

Comments To be published in NeurIPS'22

FQDet: Fast-converging Query-based Detector

Cédric Picron, Punarjay Chakravarty, Tinne Tuytelaars

Comments Accepted at NeurIPS VTTA workshop 2022

Uncalibrated Models Can Improve Human-AI Collaboration

Kailas Vodrahalli, Tobias Gerstenberg, James Zou

Comments 21 pages, 12 figures, NeurIPS 2022

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network

Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov

Comments NeurIPS 2022 paper

Learning Single-Index Models with Shallow Neural Networks

Alberto Bietti, Joan Bruna, Clayton Sanford, Min Jae Song

Comments 76 pages. To appear at NeurIPS 2022

A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs

Hans Hao-Hsun Hsu, Yuesong Shen, Daniel Cremers

Comments Presented at NeurIPS 2022 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2022)

Low-Rank Modular Reinforcement Learning via Muscle Synergy

Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang

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

Dynamic Survival Transformers for Causal Inference with Electronic Health Records

Prayag Chatha, Yixin Wang, Zhenke Wu, Jeffrey Regier

Comments Accepted to the NeurIPS 2022 Workshop on Learning from Time Series for Health

MorphTE: Injecting Morphology in Tensorized Embeddings

Guobing Gan, Peng Zhang, Sunzhu Li, Xiuqing Lu, Benyou Wang

Comments 20 pages, 6 figures, 18 tables. Published at NeurIPS 2022

Learning Discrete Directed Acyclic Graphs via Backpropagation

Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi

Comments 15 pages, 2 figures, 7 tables. Accepted for NeurIPS 2022 workshops on: Causal Machine Learning for Real-World Impact; and Neuro Causal and Symbolic AI

Efficient and Effective Augmentation Strategy for Adversarial Training

Sravanti Addepalli, Samyak Jain, R. Venkatesh Babu

Comments NeurIPS 2022

Isometric 3D Adversarial Examples in the Physical World

Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao

Comments NeurIPS 2022

Anonymized Histograms in Intermediate Privacy Models

Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi

Comments Neural Information Processing Systems (NeurIPS), 2022

Private Isotonic Regression

Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi

Comments Neural Information Processing Systems (NeurIPS), 2022

Faster Linear Algebra for Distance Matrices

Piotr Indyk, Sandeep Silwal

Comments Selected as Oral for NeurIPS 2022

Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?

Enamundram Naga Karthik, Anne Kerbrat, Pierre Labauge, Tobias Granberg, Jason Talbott, Daniel S. Reich, Massimo Filippi, Rohit Bakshi, Virginie Callot, Sarath Chandar, Julien Cohen-Adad

Comments Accepted at the Medical Imaging Meets NeurIPS (MedNeurIPS) Workshop 2022

DyREx: Dynamic Query Representation for Extractive Question Answering

Urchade Zaratiana, Niama El Khbir, Dennis Núñez, Pierre Holat, Nadi Tomeh, Thierry Charnois

Comments Accepted at "2nd Workshop on Efficient Natural Language and Speech Processing (ENLSP-II)" @ NeurIPS 2022

Characterizing Datapoints via Second-Split Forgetting

Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter

Comments Accepted at NeurIPS 2022

Neuro-symbolic partial differential equation solver

Pouria Mistani, Samira Pakravan, Rajesh Ilango, Sanjay Choudhry, Frederic Gibou

Comments Accepted for publication at NeurIPS 2022 (ML4PS workshop). arXiv admin note: substantial text overlap with arXiv:2210.14312

A New Task: Deriving Semantic Class Targets for the Physical Sciences

Micah Bowles, Hongming Tang, Eleni Vardoulaki, Emma L. Alexander, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna M. M. Scaife, Inigo Val Slijepcevic, Gary Segal

Comments 6 pages, 1 figure, Accepted at Fifth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2022), Neural Information Processing Systems 2022

TPFNet: A Novel Text In-painting Transformer for Text Removal

Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, Sai Chandra Teja R, Rekha Singhal

Comments 10 pages, 5 figures, 5 tables, Neurips Proceedings

Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective

Bohang Zhang, Du Jiang, Di He, Liwei Wang

Comments 37 pages; to appear in NeurIPS 2022 (Oral)

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment

Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf

Comments NeurIPS 2022 Oral

Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification

Junpei Komiyama, Taira Tsuchiya, Junya Honda

Comments NeurIPS 2022 version https://openreview.net/forum?id=TIQfmR7IF6H

Residual Multiplicative Filter Networks for Multiscale Reconstruction

Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker

Comments NeurIPS 2022, Project page: https://shekshaa.github.io/ResidualMFN

CyCLIP: Cyclic Contrastive Language-Image Pretraining

Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover

Comments 19 pages, 13 tables, 6 figures, Oral at NeuRIPS 2022

Adaptively Exploiting d-Separators with Causal Bandits

Blair Bilodeau, Linbo Wang, Daniel M. Roy

Comments 29 pages, 3 figures. Camera ready version

Journal ref NeurIPS 2022