NeurIPS

The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models

Lee M Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz

Comments NeurIPS 2023

Journal ref NeurIPS 2023

Implicit Manifold Gaussian Process Regression

Bernardo Fichera, Viacheslav Borovitskiy, Andreas Krause, Aude Billard

Journal ref Advances in Neural Information Processing Systems, 2023

EPIC Fields: Marrying 3D Geometry and Video Understanding

Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi

Comments Published at NeurIPS 2023. 24 pages, 15 figures. Project Webpage: http://epic-kitchens.github.io/epic-fields

Spectral Co-Distillation for Personalized Federated Learning

Zihan Chen, Howard H. Yang, Tony Q. S. Quek, Kai Fong Ernest Chong

Comments 13 pages, NeurIPS 2023. Code at https://github.com/jimmyc96/spectral-dis-FL

Learning Interpretable Rules for Scalable Data Representation and Classification

Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

Comments Accepted by IEEE TPAMI in October 2023; Interpretable ML; Neuro-Symbolic AI; Preliminary conference version (NeurIPS 2021) available at arXiv:2109.15103

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 46, Issue: 2, February 2024)

Simple and Controllable Music Generation

Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Défossez

Comments Published at Neurips 2023

MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates

Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi

Comments Published at 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Textually Pretrained Speech Language Models

Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Defossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi

Comments NeurIPS 2023

Scaling laws for language encoding models in fMRI

Richard Antonello, Aditya Vaidya, Alexander G. Huth

Comments Accepted to the Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Please cite NeurIPS version

Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures

Michael Hersche, Francesco di Stefano, Thomas Hofmann, Abu Sebastian, Abbas Rahimi

Comments Accepted in NeurIPS 2023 Workshop on MATH-AI

Low-Resource Languages Jailbreak GPT-4

Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach

Comments NeurIPS Workshop on Socially Responsible Language Modelling Research (SoLaR) 2023. Best Paper Award

The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification

Linhao Qu, Xiaoyuan Luo, Kexue Fu, Manning Wang, Zhijian Song

Comments Accepted by NeurIPS 2023

Model Sparsity Can Simplify Machine Unlearning

Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

Comments NeurIPS'23 spotlight

A General Framework for Robust G-Invariance in G-Equivariant Networks

Sophia Sanborn, Nina Miolane

Journal ref Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset

Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang

Comments Accepted by NeurIPS 2023; A large-scale 3D whole-body human motion-text dataset; GitHub: https://github.com/IDEA-Research/Motion-X

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Kai Han, Yunhe Wang

Comments Accepted by NeurIPS 2023

RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion

Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein

Comments Final camera-ready version for NeurIPS 2023. 36 pages, 7 figures, 12 tables. Includes 20 pages of appendices. Code available at https://github.com/Dovermore/randomized-deletion

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks

Filip Szatkowski, Karol J. Piczak, Przemysław Spurek, Jacek Tabor, Tomasz Trzciński

Comments NeurIPS 2022 MetaLearn workshop

Assessing Electricity Service Unfairness with Transfer Counterfactual Learning

Song Wei, Xiangrui Kong, Alinson Santos Xavier, Shixiang Zhu, Yao Xie, Feng Qiu

Comments The preliminary version titled "Detecting Electricity Service Equity Issues with Transfer Counterfactual Learning on Large-Scale Outage Datasets" is presented at NeurIPS 2023 Workshops on Causal Representation Learning (CRL) and Algorithmic Fairness through the Lens of Time (AFT); See v1

Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment

Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik

Comments Accepted to NeurIPS 2023 (oral). Our code is publicly available at https://github.com/RoyiRa/Syntax-Guided-Generation

TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models

Pum Jun Kim, Yoojin Jang, Jisu Kim, Jaejun Yoo

Comments Accepted to NeurIPS 2023

When Does Confidence-Based Cascade Deferral Suffice?

Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar

Comments NeurIPS 2023

Sample-efficient Adversarial Imitation Learning

Dahuin Jung, Hyungyu Lee, Sungroh Yoon

Comments Published at JMLR (Journal of Machine Learning Research), A preliminary version of this manuscript was presented at Deep RL Workshop, NeurIPS 2022

Homotopy-based training of NeuralODEs for accurate dynamics discovery

Joon-Hyuk Ko, Hankyul Koh, Nojun Park, Wonho Jhe

Comments 10 pages, 5 figures, accepted at NeurIPS2023 (https://neurips.cc/virtual/2023/poster/70313)

Journal ref Joon-Hyuk, Hankyul Koh, Nojun Park, and Wonho Jhe. Advances in Neural Information Processing Systems (2023)

Full-dimensional characterisation of time-warped spike-time stimulus-response distribution geometries

James B Isbister

Comments Accepted as an extended abstract at the NeurReps workshop at NeurIPS 2023. The workshop doesn't publish extended abstracts so submitting here

Convolve and Conquer: Data Comparison with Wiener Filters

Deborah Pelacani Cruz, George Strong, Oscar Bates, Carlos Cueto, Jiashun Yao, Lluis Guasch

Comments 10 pages, 5 figures, Medical Imaging Meets Neurips Workshop

Transfer learning for atomistic simulations using GNNs and kernel mean embeddings

John Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil

Comments 20 pages, 4 figures, 7 tables, published in NeurIPS 2023

What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement

Yotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen

Comments Accepted to NeurIPS 2023

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine

Comments NeurIPS 2023. project page: https://nakamotoo.github.io/Cal-QL

Orthogonal Polynomials Approximation Algorithm (OPAA):a functional analytic approach to estimating probability densities

Lilian W. Bialokozowicz

Comments Neurips 2023 Workshop "The Symbiosis of Deep Learning and Differential Equations (DLDE III)"