このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。
2024 · NeurIPS
YOLOv10: Real-Time End-to-End Object DetectionAo Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Yo'LLaVA: Your Personalized Language and Vision AssistantThao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised LearningThéo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
You Only Cache Once: Decoder-Decoder Architectures for Language ModelsYutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object DetectionMingbo Hong, Shen Cheng, Haibin Huang, Haoqiang Fan, Shuaicheng Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
YouDream: Generating Anatomically Controllable Consistent Text-to-3D AnimalsSandeep Mishra, Oindrila Saha, Alan C. Bovik
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive TrainingYunshu Wu, Yingtao Luo, Xianghao Kong, Evangelos E. Papalexakis, Greg Ver Steeg
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Your contrastive learning problem is secretly a distribution alignment problemZihao Chen, Chi-Heng Lin, Ran Liu, Jingyun Xiao, Eva L. Dyer
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous DrivingTao Ma, Hongbin Zhou, Qiusheng Huang, Xuemeng Yang, Jianfei Guo, Bo Zhang, Min Dou, Yu Qiao, Botian Shi, Hongsheng Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image DomainHanyue Lou, Jinxiu Liang, Minggui Teng, Bin Fan, Yong Xu, Boxin Shi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Zero-Shot Reinforcement Learning from Low Quality DataScott Jeen, Tom Bewley, Jonathan M. Cullen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Zero-Shot Scene Reconstruction from Single Images with Deep Prior AssemblyJunsheng Zhou, Yu-Shen Liu, Zhizhong Han
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Zero-Shot Tokenizer TransferBenjamin Minixhofer, Edoardo M. Ponti, Ivan Vulić
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Zero-Shot Transfer of Neural ODEsTyler Ingebrand, Adam J. Thorpe, Ufuk Topcu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Zero-shot Generalizable Incremental Learning for Vision-Language Object DetectionJieren Deng, Haojian Zhang, Kun Ding, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Zero-shot Image Editing with Reference ImitationXi Chen, Yutong Feng, Mengting Chen, Yiyang Wang, Shilong Zhang, Yu Liu, Yujun Shen, Hengshuang Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map FilteringIdo Sobol, Chenfeng Xu, Or Litany
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
ZeroMark: Towards Dataset Ownership Verification without Disclosing WatermarkJunfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising DiffusionYe He, Kevin Rojas, Molei Tao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token IdentificationYefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Zipfian WhiteningSho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira
Machine Learning
日本大学: 京都大学 / 東北大学
2024 · NeurIPS
Zipper: Addressing Degeneracy in Algorithm-Agnostic InferenceGeng Chen, Yinxu Jia, Guanghui Wang, Changliang Zou
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
bit2bit: 1-bit quanta video reconstruction via self-supervised photon predictionYehe Liu, Alexander Krull, Hector Basevi, Aleš Leonardis, Michael Jenkins
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
e-COP : Episodic Constrained Optimization of PoliciesAkhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil Singla
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modelingMatthew Dowling, Yuan Zhao, Il Memming Park
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
einspace: Searching for Neural Architectures from Fundamental OperationsLinus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
fMRI predictors based on language models of increasing complexity recover brain left lateralizationLaurent Bonnasse-Gahot, Christophe Pallier
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
iVideoGPT: Interactive VideoGPTs are Scalable World ModelsJialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated LearningJiaqi Wang, Qi Li, Lingjuan Lyu, Fenglong Ma
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component RegularizationMatthew C. Bendel, Rizwan Ahmad, Philip Schniter
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
realSEUDO for real-time calcium imaging analysisIuliia Dmitrieva, Sergey Babkin, Adam S. Charles
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
xLSTM: Extended Long Short-Term MemoryMaximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
xMIL: Insightful Explanations for Multiple Instance Learning in HistopathologyJulius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One TokenXin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao
Machine Learning
日本大学: 関与なし(対象大学)