NeurIPS

2022–2026 LIVE

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Machine Learning

2024 · 4,034 papers

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
Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor
Keji He, Kehan Chen, Jiawang Bai, Yan Huang, Qi Wu, Shu-Tao Xia, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network
Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart Russell
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
Dayou Yu, Minghao Li, Weishi Shi, Qi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
Krishna Prasad Neupane, Ervine Zheng, Qi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
Rui Zhao, Hangjie Yuan, Yujie Wei, Shiwei Zhang, Yuchao Gu, Lingmin Ran, Xiang Wang, Zhangjie Wu, Junhao Zhang, Yingya Zhang, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
Giung Nam, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
Christian Holberg, Cristopher Salvi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-shan Shiu, Guillaume Hennequin, Alberto Bernacchia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exactly Minimax-Optimal Locally Differentially Private Sampling
Hyun-Young Park, Shahab Asoodeh, Si-Hyeon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck, Philipp Gassert, Matthias Althoff
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exclusively Penalized Q-learning for Offline Reinforcement Learning
Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee, Seungyul Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exocentric-to-Egocentric Video Generation
Jia-Wei Liu, Weijia Mao, Zhongcong Xu, Jussi Keppo, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation
Yikang Chen, Dehui Du, Lili Tian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Expanding Sparse Tuning for Low Memory Usage
Shufan Shen, Junshu Sun, Xiangyang Ji, Qingming Huang, Shuhui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch
Malek Mechergui, Sarath Sreedharan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Expected Probabilistic Hierarchies
Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Expert-level protocol translation for self-driving labs
Yu-Zhe Shi, Fanxu Meng, Haofei Hou, Zhangqian Bi, Qiao Xu, Lecheng Ruan, Qining Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Ruiqi Zhong, Heng Wang, Dan Klein, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Explanations that reveal all through the deﬁnition of encoding
Aahlad Puli, Nhi Nguyen, Rajesh Ranganath
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
Haocheng Luo, Tuan Truong, Tung Pham, Mehrtash Harandi, Dinh Phung, Trung Le
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
Haoyang Luo, Zheng Zhang, Yadan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploiting LLM Quantization
Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin Vechev
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Exploiting Representation Curvature for Boundary Detection in Time Series
Yooju Shin, Jaehyun Park, Hwanjun Song, Susik Yoon, Byung Suk Lee, Jae-Gil Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, Bo Xu, Martin Müller
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploration by Learning Diverse Skills through Successor State Representations
Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Konigsbuch, Dennis G. Wilson, Emmanuel Rachelson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
Minjong Yoo, Jinwoo Jang, Wei-jin Park, Honguk Woo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring Adversarial Robustness of Deep State Space Models
Biqing Qi, Yiang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
Yule Wang, Chengrui Li, Weihan Li, Anqi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks
Xuyuan Liu, Yinghao Cai, Qihui Yang, Yujun Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring Context Window of Large Language Models via Decomposed Positional Vectors
Zican Dong, Junyi Li, Xin Men, Wayne Xin Zhao, Bingning Wang, Zhen Tian, Weipeng Chen, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring DCN-like architecture for fast image generation with arbitrary resolution
Shuai Wang, Zexian Li, Tianhui Song, Xubin Li, Tiezheng Ge, Bo Zheng, Limin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
Chen Hang, Zhe Ma, Haoming Chen, Xuwei Fang, Weisheng Xie, Faming Fang, Guixu Zhang, Hongbin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
Artem Agafonov, Petr Ostroukhov, Roman Mozhaev, Konstantin Yakovlev, Eduard Gorbunov, Martin Takáč, Alexander Gasnikov, Dmitry Kamzolov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing
Siyi Chen, Huijie Zhang, Minzhe Guo, Yifu Lu, Peng Wang, Qing Qu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring Molecular Pretraining Model at Scale
Xiaohong Ji, Zhen Wang, Zhifeng Gao, Hang Zheng, Linfeng Zhang, Guolin Ke, Weinan E
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring Token Pruning in Vision State Space Models
Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
Yuanlin Duan, Guofeng Cui, He Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
Andrew Bond, Zafer Doğan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces
Luis H. Cubillos, Guy Revach, Matthew J. Mender, Joseph T. Costello, Hisham Temmar, Aren Hite, Diksha Zutshi, Dylan M. Wallace, Xiaoyong Ni, Madison M. Kelberman, Matthew S. Willsey, Ruud J.G. van Sloun, Nir Shlezinger, Parag Patil, Anne Draelos, Cynthia A. Chestek
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Exponential Quantum Communication Advantage in Distributed Inference and Learning
Dar Gilboa, Hagay Michaeli, Daniel Soudry, Jarrod R. McClean
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Expressive Gaussian Human Avatars from Monocular RGB Video
Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Extending Multi-modal Contrastive Representations
Ziang Zhang, Zehan Wang, Luping Liu, Rongjie Huang, Xize Cheng, Zhenhui Ye, Wang Lin, Huadai Liu, Haifeng Huang, Yang Zhao, Tao Jin, Siqi Zheng, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Extending Video Masked Autoencoders to 128 frames
Nitesh B. Gundavarapu, Luke Friedman, Raghav Goyal, Chaitra Hegde, Eirikur Agustsson, Sagar Waghmare, Mikhail Sirotenko, Ming-Hsuan Yang, Tobias Weyand, Boqing Gong, Leonid Sigal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Extensive-Form Game Solving via Blackwell Approachability on Treeplexes
Darshan Chakrabarti, Julien Grand-Clément, Christian Kroer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data
Sofia Ek, Dave Zachariah
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Extracting Training Data from Molecular Pre-trained Models
Renhong Huang, Jiarong Xu, Zhiming Yang, Xiang Si, Xin Jiang, Hanyang Yuan, Chunping Wang, Yang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
Chong Ma, Hanqi Jiang, Wenting Chen, Yiwei Li, Zihao Wu, Xiaowei Yu, Zhengliang Liu, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
Kexue Fu, Xiaoyuan Luo, Linhao Qu, Shuo Wang, Ying Xiong, Ilias Maglogiannis, Longxiang Gao, Manning Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
Xiaobao Wu, Thong Nguyen, Delvin Ce Zhang, William Yang Wang, Anh Tuan Luu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor
Mengting Xu, De Ma, HuaJin Tang, Qian Zheng, Gang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
Lisha Chen, AFM Saif, Yanning Shen, Tianyi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
Shuai Liu, Boyang Li, Zhiyu Fang, Mingyue Cui, Kai Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FIFO-Diffusion: Generating Infinite Videos from Text without Training
Jihwan Kim, Junoh Kang, Jinyoung Choi, Bohyung Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FINALLY: fast and universal speech enhancement with studio-like quality
Nicholas Babaev, Kirill Tamogashev, Azat Saginbaev, Ivan Shchekotov, Hanbin Bae, Hosang Sung, WonJun Lee, Hoon-Young Cho, Pavel Andreev
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FLAME : Factuality-Aware Alignment for Large Language Models
Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Wen-tau Yih, Xilun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models
Wanyi Ning, Jingyu Wang, Qi Qi, Mengde Zhu, Haifeng Sun, Daixuan Cheng, Jianxin Liao, Ce Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
Kun Chen, Peng Ye, Hao Chen, Kang Chen, Tao Han, Wanli Ouyang, Tao Chen, Lei Bai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FUGAL: Feature-fortified Unrestricted Graph Alignment
Aditya Bommakanti, Harshith Reddy Vonteri, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FUSE: Fast Unified Simulation and Estimation for PDEs
Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation
Xuehao Cui, Guangyang Wu, Zhenghao Gan, Guangtao Zhai, Xiaohong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Facilitating Multimodal Classification via Dynamically Learning Modality Gap
Yang Yang, Fengqiang Wan, Qing-Yuan Jiang, Yi Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FactorSim: Generative Simulation via Factorized Representation
Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, Alex Zook, Jonathan Tremblay, Logan Cross, Jiajun Wu, Nick Haber
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
Jitesh Joshi, Sos S. Agaian, Youngjun Cho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
Xin Yuan, Michael Maire
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fair Allocation in Dynamic Mechanism Design
Alireza Fallah, Michael I. Jordan, Annie Ulichney
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, AmirArsalan Rajabi, Aida Tayebi, Ivan Garibay, Ozlem Ozmen Garibay
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fair Kernel K-Means: from Single Kernel to Multiple Kernel
Peng Zhou, Rongwen Li, Liang Du
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fair Online Bilateral Trade
François Bachoc, Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fair Secretaries with Unfair Predictions
Eric Balkanski, Will Ma, Andreas Maggiori
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fair Wasserstein Coresets
Zikai Xiong, Niccolò Dalmasso, Shubham Sharma, Freddy Lecue, Daniele Magazzeni, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
Elita Lobo, Justin Payan, Cyrus Cousins, Yair Zick
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
Christopher T. H. Teo, Milad Abdollahzadeh, Xinda Ma, Ngai-Man Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FairWire: Fair Graph Generation
O. Deniz Kose, Yanning Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fairness and Efficiency in Online Class Matching
MohammadTaghi Hajiaghayi, Shayan Chashm Jahan, Mohammad Sharifi, Suho Shin, Max Springer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fairness in Social Influence Maximization via Optimal Transport
Shubham Chowdhary, Giulia De Pasquale, Nicolas Lanzetti, Ana-Andreea Stoica, Florian Dörfler
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fairness without Harm: An Influence-Guided Active Sampling Approach
Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fairness-Aware Estimation of Graphical Models
Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael I. Jordan, Ruoxi Jia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings
Xiao Tan, Yiqin Wang, Yangyang Shen, Dian Shen, Meng Wang, Peibo Duan, Beilun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models
Rui Hu, Qian He, Gaofeng He, Jiedong Zhuang, Huang Chen, Huafeng Liu, Huamin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fast Best-of-N Decoding via Speculative Rejection
Hanshi Sun, Momin Haider, Ruiqi Zhang, Huitao Yang, Jiahao Qiu, Ming Yin, Mengdi Wang, Peter L. Bartlett, Andrea Zanette
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fast Channel Simulation via Error-Correcting Codes
Sharang M. Sriramu, Rochelle Barsz, Elizabeth Polito, Aaron B. Wagner
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fast Encoder-Based 3D from Casual Videos via Point Track Processing
Yoni Kasten, Wuyue Lu, Haggai Maron
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations
Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Machine Learning
日本大学: 関与なし（対象大学）