NeurIPS

CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics

Fatih Dinc, Adam Shai, Mark Schnitzer, Hidenori Tanaka

Comments Accepted at NeurIPS 2023

Algebraic Topological Networks via the Persistent Local Homology Sheaf

Gabriele Cesa, Arash Behboodi

Comments Symmetry and Geometry in Neural Representations - NeurReps Workshop @ NeurIPS 2023

Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion

Ethan Pronovost, Meghana Reddy Ganesina, Noureldin Hendy, Zeyu Wang, Andres Morales, Kai Wang, Nicholas Roy

Comments NeurIPS 2023

FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning

Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang

Comments Accepted by NeurIPS 2023

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang

Comments To appear at NeurIPS 2023 (Datasets and Benchmarks Track)

Approximately Equivariant Graph Networks

Ningyuan Huang, Ron Levie, Soledad Villar

Comments Accepted at NeurIPS 2023

Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions

Samantha Chen, Yusu Wang

Comments Accepted to NeurIPS 2023

Tree Variational Autoencoders

Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia Vogt

Comments Accepted as Spotlight to NeurIPS 2023

Exploring and Interacting with the Set of Good Sparse Generalized Additive Models

Chudi Zhong, Zhi Chen, Jiachang Liu, Margo Seltzer, Cynthia Rudin

Comments NeurIPS 2023

A Computationally Efficient Sparsified Online Newton Method

Fnu Devvrit, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-Jui Hsieh, Inderjit Dhillon

Comments 30 pages. First two authors contributed equally. Accepted at NeurIPS 2023

Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks

Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed

Comments 15 pages, 4 figures, 3 tables. To appear in Algorithmic Fairness through the Lens of Time Workshop at NeurIPS 2023

EvoPrompting: Language Models for Code-Level Neural Architecture Search

Angelica Chen, David M. Dohan, David R. So

Comments NeurIPS 2023

Score-based generative models learn manifold-like structures with constrained mixing

Li Kevin Wenliang, Ben Moran

Comments NeurIPS 2022 Workshop on Score-Based Methods

Contribution Evaluation in Federated Learning: Examining Current Approaches

Vasilis Siomos, Jonathan Passerat-Palmbach

Comments Published at New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership workshop @NeurIPS 2021

Diffusion-Augmented Neural Processes

Lorenzo Bonito, James Requeima, Aliaksandra Shysheya, Richard E. Turner

Comments Accepted to the NeurIPS 2023 Workshop on Diffusion Models

Neural-Logic Human-Object Interaction Detection

Liulei Li, Jianan Wei, Wenguan Wang, Yi Yang

Comments Accepted to NeurIPS 2023; Code: https://github.com/weijianan1/LogicHOI

Code Models are Zero-shot Precondition Reasoners

Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Zhe Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee

Comments Neurips Foundation Models for Decision Making Workshop 2023

Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification

Preetam Prabhu Srikar Dammu, Chirag Shah

Comments Paper accepted at 37th Conference on Neural Information Processing Systems (NeurIPS 2023), XAIA Workshop

Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis

Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard

Journal ref Advances in neural information processing systems, Dec 2023, New Orleans, United States

On consequences of finetuning on data with highly discriminative features

Wojciech Masarczyk, Tomasz Trzciński, Mateusz Ostaszewski

Comments NeurIPS 2023 -- UniReps Workshop

GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection

Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li

Comments NeurIPS 2023 Datasets and Benchmarks Track camera ready version

Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces

Odelia Melamed, Gilad Yehudai, Gal Vardi

Comments Camera ready version for NeurIPS 2023

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning

Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Liu Dapeng, Jie Jiang, Mingsheng Long

Comments Accepted by NeurIPS 2023

Bayesian Learning via Q-Exponential Process

Shuyi Li, Michael O'Connor, Shiwei Lan

Comments 21 pages, 15 figures

Journal ref Proceedings of 37th Conference on Neural Information Processing Systems, 2023 @ New Orleans

Fast Detection of Phase Transitions with Multi-Task Learning-by-Confusion

Julian Arnold, Frank Schäfer, Niels Lörch

Comments 7 pages, 3 figures, Machine Learning and the Physical Sciences Workshop, NeurIPS 2023

Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models

Yeongbin Kim, Gautam Singh, Junyeong Park, Caglar Gulcehre, Sungjin Ahn

Comments Published as a conference paper at NeurIPS 2023. The first two authors contributed equally. To download the benchmark, visit https://systematic-visual-imagination.github.io

Data Augmentations in Deep Weight Spaces

Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron

Comments Accepted to NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations

Frequency Domain-based Dataset Distillation

Donghyeok Shin, Seungjae Shin, Il-Chul Moon

Comments Accepted at NeurIPS 2023

Language Semantic Graph Guided Data-Efficient Learning

Wenxuan Ma, Shuang Li, Lincan Cai, Jingxuan Kang

Comments Accepted by NeurIPS 2023

Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech

Mohamed Osman, Tamer Nadeem, Ghada Khoriba

Comments Accepted as talk at NeurIPS ML for Audio workshop