NeurIPS

Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation

Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang

Comments Camera ready for NeurIPS 2023. Code available at https://github.com/zshyang/kaf.git

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang

Comments Accepted by NeurIPS 2023, Track on Datasets and Benchmarks; Dataset for KDD Cup 2023, https://kddcup23.github.io/

URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates

Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci

Comments Accepted at the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS D&B 2023)

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale

Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu

Comments Accepted to NeurIPS 2023

Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning

Baohao Liao, Shaomu Tan, Christof Monz

Comments NeurIPS camera-ready version. Code at https://github.com/BaohaoLiao/mefts

AdANNS: A Framework for Adaptive Semantic Search

Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, Ali Farhadi

Comments 25 pages, 15 figures. NeurIPS 2023 camera ready publication

Connecting Multi-modal Contrastive Representations

Zehan Wang, Yang Zhao, Xize Cheng, Haifeng Huang, Jiageng Liu, Li Tang, Linjun Li, Yongqi Wang, Aoxiong Yin, Ziang Zhang, Zhou Zhao

Comments NeurIPS 2023

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

Le Yu, Leilei Sun, Bowen Du, Weifeng Lv

Comments Accepted at NeurIPS 2023, Camera Ready Version

EDGI: Equivariant Diffusion for Planning with Embodied Agents

Johann Brehmer, Joey Bose, Pim de Haan, Taco Cohen

Comments Accepted at NeurIPS 2023. v2: matches camera-ready version

Test-Time Distribution Normalization for Contrastively Learned Vision-language Models

Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser-Nam Lim

Comments Accepted to NeurIPS 2023, project webpage: https://fengyuli-dev.github.io/dn-website/

Unleash the Potential of Image Branch for Cross-modal 3D Object Detection

Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing

Comments Accepted to NeurIPS 2023

Learning threshold neurons via the "edge of stability"

Kwangjun Ahn, Sébastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez, Yi Zhang

Comments 31 pages, 13 figures, Published at NeurIPS 2023

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Eunjeong Jeong, Seungeun Oh, Hyesung Kim, Jihong Park, Mehdi Bennis, Seong-Lyun Kim

Comments presented at the 32nd Conference on Neural Information Processing Systems (NIPS 2018), 2nd Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD 2), Montréal, Canada

Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture

Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré

Comments NeurIPS 2023 (Oral)

Conformal Drug Property Prediction with Density Estimation under Covariate Shift

Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun

Comments Accepted at NeurIPS 2023

Bayesian Flow Networks in Continual Learning

Mateusz Pyla, Kamil Deja, Bartłomiej Twardowski, Tomasz Trzciński

Comments Submitted to NeurIPS 2023 Workshop on Diffusion Models

SQ Lower Bounds for Learning Mixtures of Linear Classifiers

Ilias Diakonikolas, Daniel M. Kane, Yuxin Sun

Comments To appear in NeurIPS 2023

ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting

Zongsheng Yue, Jianyi Wang, Chen Change Loy

Comments NeurIPS 2023 (Spotlight). Project page: https://zsyoaoa.github.io/projects/resshift/

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

Comments Accepted to NeurIPS 2023 (Datasets and Benchmarks Track)

Journal ref NeurIPS 2023

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li

Comments Accepted by NeurIPS 2023. 33 pages, 17 figures, 19 tables. Under review. For more details, please refer to https://github.com/chengtan9907/OpenSTL

Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards

Mengfan Xu, Diego Klabjan

Comments 58 pages, to appear at Advances in Neural Information Processing Systems (NeurIPS 2023 Spotlight)

DiffUTE: Universal Text Editing Diffusion Model

Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang

Comments Accepted by NeurIPS'2023

Binarized Spectral Compressive Imaging

Yuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang, Haoqian Wang

Comments NeurIPS 2023; The first work to study binarized spectral compressive imaging reconstruction problem

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense

Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer

Comments NeurIPS 2023 camera ready (32 pages). Code, models, data available in https://github.com/martiansideofthemoon/ai-detection-paraphrases

Taylor TD-learning

Michele Garibbo, Maxime Robeyns, Laurence Aitchison

Comments Published as a conference paper at NeurIPS 2023

Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data

Pratik Karmakar, Debabrota Basu

Comments Presented in the Privacy-Preserving AI (PPAI) workshop at AAAI 2023 as a spotlight talk and published in NeurIPS 2023

Boundary Guided Learning-Free Semantic Control with Diffusion Models

Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

Comments NeurIPS 2023. 27 pages including appendices, code at https://github.com/L-YeZhu/BoundaryDiffusion

Domain Re-Modulation for Few-Shot Generative Domain Adaptation

Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao

Comments NeurIPS 2023

On the Convergence of No-Regret Learning Dynamics in Time-Varying Games

Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm

Comments To appear at NeurIPS 2023; V3 incorporates reviewers' feedback and minor corrections

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi

Comments Accepted to NeurIPS 2023