NeurIPS

DISCO-10M: A Large-Scale Music Dataset

Luca A. Lanzendörfer, Florian Grötschla, Emil Funke, Roger Wattenhofer

Comments NeurIPS 2023 Track on Datasets and Benchmarks

Chatting Makes Perfect: Chat-based Image Retrieval

Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski

Comments Camera Ready version for NeurIPS 2023

Learning Robust Statistics for Simulation-based Inference under Model Misspecification

Daolang Huang, Ayush Bharti, Amauri Souza, Luigi Acerbi, Samuel Kaski

Comments 22 pages, 13 figures, Published at NeurIPS 2023

Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance

Jonathan Crabbé, Mihaela van der Schaar

Comments Presented at NeurIPS 2023

Unsupervised Foreground Extraction via Deep Region Competition

Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

Comments NeurIPS 2021

CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection

Yang Cao, Yihan Zeng, Hang Xu, Dan Xu

Comments Accepted by NeurIPS 2023. Project Page: https://yangcaoai.github.io/publications/CoDA.html

Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design

Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob Nicolaus Foerster

Comments Published at NeurIPS 2023

On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails

Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang

Comments 44 pages, accepted for NeurIPS 2023

FedL2P: Federated Learning to Personalize

Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy Hospedales, Ferenc Huszár, Nicholas D. Lane

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

Exponential Lower Bounds for Fictitious Play in Potential Games

Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher

Comments Accepted to appear in NeurIPS 2023

MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data

Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao

Comments Accepted by NeurIPS 2023

Robustified ANNs Reveal Wormholes Between Human Category Percepts

Guy Gaziv, Michael J. Lee, James J. DiCarlo

Comments In NeurIPS 2023. Code: https://github.com/ggaziv/Wormholes Project Webpage: https://himjl.github.io/pwormholes

Journal ref https://neurips.cc/virtual/2023/poster/72812

Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications

Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

Comments Accepted in NeurIPS 2023

Deductive Verification of Chain-of-Thought Reasoning

Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su

Comments Published at NeurIPS 2023

Deep Reinforcement Learning with Plasticity Injection

Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto

Comments NeurIPS 2023 camera-ready

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

Comments accepted to NeurIPS 2023

Trajectory balance: Improved credit assignment in GFlowNets

Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio

Comments NeurIPS 2022; see footnotes for code; v3 fixes minor errata

Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation

Guojun Xiong, Jian Li

Comments 26 pages, 4 figures, Neurips 2023

EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis

Dragos Georgian Corlatescu, Alexandru Dinu, Mihaela Gaman, Paul Sumedrea

Comments Accepted at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks

Shaping of Magnetic Field Coils in Fusion Reactors using Bayesian Optimisation

Timothy Nunn, Vignesh Gopakumar, Sebastien Kahn

Comments NeurIPS 2022 Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems

Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data

Alon Albalak, Colin Raffel, William Yang Wang

Comments NeurIPS 2023, 25 pages, 8 figures, code available at https://github.com/alon-albalak/FLAD

Instance-optimal PAC Algorithms for Contextual Bandits

Zhaoqi Li, Lillian Ratliff, Houssam Nassif, Kevin Jamieson, Lalit Jain

Journal ref Conference on Neural Information Processing Systems (NeurIPS'22), New Orleans, pp. 37590-37603, 2022

Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning

Amit Dhurandhar, Karthikeyan Ramamurthy, Kartik Ahuja, Vijay Arya

Comments Accepted to NeurIPS 2023

Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing

Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang

Comments 20 pages, accepted by NeurIPS 2023(poster)

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation

Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye

Comments NeurIPS'23

Optimization or Architecture: How to Hack Kalman Filtering

Ido Greenberg, Netanel Yannay, Shie Mannor

Comments NeurIPS 2023

Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction

Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang

Comments Accepted by NeurIPS 2023

Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser

Yung-Hsuan Lai, Yen-Chun Chen, Yu-Chiang Frank Wang

Comments NeurIPS 2023

Passive learning of active causal strategies in agents and language models

Andrew Kyle Lampinen, Stephanie C Y Chan, Ishita Dasgupta, Andrew J Nam, Jane X Wang

Comments Advances in Neural Information Processing Systems (NeurIPS 2023). 10 pages main text

Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments

Thanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj, Khoa Luu

Comments Accepted to NeurIPS 2023