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。
2022 · NeurIPS
Models Out of Line: A Fourier Lens on Distribution Shift RobustnessSara Fridovich-Keil, Brian Bartoldson, James Diffenderfer, Bhavya Kailkhura, Timo Bremer
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language ModelsBiru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Modular Flows: Differential Molecular GenerationYogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Module-Aware Optimization for Auxiliary LearningHong Chen, Xin Wang, Yue Liu, Yuwei Zhou, Chaoyu Guan, Wenwu Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Molecule Generation by Principal Subgraph Mining and AssemblingXiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Moment Distributionally Robust Tree Structured PredictionYeshu Li, Danyal Saeed, Xinhua Zhang, Brian Ziebart, Kevin Gimpel
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge DistillationKien Do, Thai Hung Le, Dung Nguyen, Dang Nguyen, HARIPRIYA HARIKUMAR, Truyen Tran, Santu Rana, Svetha Venkatesh
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Momentum Aggregation for Private Non-convex ERMHoang Tran, Ashok Cutkosky
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface ReconstructionZehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Monocular Dynamic View Synthesis: A Reality CheckHang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, Angjoo Kanazawa
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal DemonstrationsAlbert Wilcox, Ashwin Balakrishna, Jules Dedieu, Wyame Benslimane, Daniel Brown, Ken Goldberg
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Monte Carlo Tree Descent for Black-Box OptimizationYaoguang Zhai, Sicun Gao
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian OptimizationLei Song, Ke Xue, Xiaobin Huang, Chao Qian
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
MorphTE: Injecting Morphology in Tensorized EmbeddingsGuobing Gan, Peng Zhang, Sunzhu Li, Xiuqing Lu, Benyou Wang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Most Activation Functions Can Win the Lottery Without Excessive DepthRebekka Burkholz
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Motion Transformer with Global Intention Localization and Local Movement RefinementShaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Movement Penalized Bayesian Optimization with Application to Wind Energy SystemsShyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point CloudsShaocong Dong, Lihe Ding, Haiyang Wang, Tingfa Xu, Xinli Xu, Jie Wang, Ziyang Bian, Ying Wang, Jianan Li
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and AveragingEdwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-Agent Reinforcement Learning is a Sequence Modeling ProblemMuning Wen, Jakub Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-Class $H$-Consistency BoundsPranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-Fidelity Best-Arm IdentificationRiccardo Poiani, Alberto Maria Metelli, Marcello Restelli
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-Game Decision TransformersKuang-Huei Lee, Ofir Nachum, Mengjiao (Sherry) Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation LearningFuying Wang, Yuyin Zhou, Shujun WANG, Varut Vardhanabhuti, Lequan Yu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution GeneralizationWeijia Zhang, Xuanhui Zhang, hanwen deng, Min-Ling Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-Lingual Acquisition on Multimodal Pre-training for Cross-modal RetrievalLiang Zhang, Anwen Hu, Qin Jin
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-Objective Deep Learning with Adaptive Reference VectorsWeiyu Chen, James T. Kwok
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-Sample Training for Neural Image CompressionTongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-Scale Adaptive Network for Single Image DenoisingYuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-agent Dynamic Algorithm ConfigurationKe Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking AgentsQiang LI, Chung-Yiu Yau, Hoi-To Wai
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC MaximizationQuanqi Hu, YONGJIAN ZHONG, Tianbao Yang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional OptimizationWei Jiang, Gang Li, Yibo Wang, Lijun Zhang, Tianbao Yang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-dataset Training of Transformers for Robust Action RecognitionJunwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-fidelity Monte Carlo: a pseudo-marginal approachDiana Cai, Ryan P. Adams
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-layer State Evolution Under Random Convolutional DesignMara Daniels, Cedric Gerbelot, Florent Krzakala, Lenka Zdeborová
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-modal Grouping Network for Weakly-Supervised Audio-Visual Video ParsingShentong Mo, Yapeng Tian
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-objective Deep Data Generation with Correlated Property ControlShiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Petersen, Austin Leitgeb, Saleh Alkhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multi-view Subspace Clustering on Topological ManifoldShudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
MultiGuard: Provably Robust Multi-label Classification against Adversarial ExamplesJinyuan Jia, Wenjie Qu, Neil Gong
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
MultiScan: Scalable RGBD scanning for 3D environments with articulated objectsYongsen Mao, Yiming Zhang, Hanxiao Jiang, Angel Chang, Manolis Savva
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multiagent Q-learning with Sub-Team CoordinationWenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept ClassesAlkis Kalavasis, Grigoris Velegkas, Amin Karbasi
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of ExpertsBasil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive ReserveGiannis Daras, Negin Raoof, Zoi Gkalitsiou, Alex Dimakis
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural NetworksYijing Liu, Qinxian Liu, Jian-Wei Zhang, Haozhe Feng, Zhongwei Wang, Zihan Zhou, Wei Chen
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Multiview Human Body Reconstruction from Uncalibrated CamerasZhixuan Yu, Linguang Zhang, Yuanlu Xu, Chengcheng Tang, LUAN TRAN, Cem Keskin, Hyun Soo Park
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music GenerationBotao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Mutual Information Divergence: A Unified Metric for Multimodal Generative ModelsJin-Hwa Kim, Yunji Kim, Jiyoung Lee, Kang Min Yoo, Sang-Woo Lee
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-designhanxue liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NCP: Neural Correspondence Prior for Effective Unsupervised Shape MatchingSouhaib Attaiki, Maks Ovsjanikov
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NOMAD: Nonlinear Manifold Decoders for Operator LearningJacob Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NOTE: Robust Continual Test-time Adaptation Against Temporal CorrelationTaesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NS3: Neuro-symbolic Semantic Code SearchShushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Luis Garcia, Christophe Hauser, Xiang Ren
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NSNet: A General Neural Probabilistic Framework for Satisfiability ProblemsZhaoyu Li, Xujie Si
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual SynthesisJian Liang, Chenfei Wu, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Natural Color Fool: Towards Boosting Black-box Unrestricted AttacksShengming Yuan, Qilong Zhang, Lianli Gao, Yaya Cheng, Jingkuan Song
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Natural gradient enables fast sampling in spiking neural networksPaul Masset, Jacob Zavatone-Veth, J. Patrick Connor, Venkatesh Murthy, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Natural image synthesis for the retina with variational information bottleneck representationBabak Rahmani, Demetri Psaltis, Christophe Moser
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NaturalProver: Grounded Mathematical Proof Generation with Language ModelsSean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual LearningYejia Liu, Wang Zhu, Shaolei Ren
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NeMF: Neural Motion Fields for Kinematic AnimationChengan He, Jun Saito, James Zachary, Holly Rushmeier, Yi Zhou
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPsAndrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Isometric Properties of Kronecker-Structured Random Tensor EmbeddingsQijia Jiang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Optimal Collaborative Learning in BanditsClémence Réda, Sattar Vakili, Emilie Kaufmann
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Optimal Correlation Clustering with PrivacyVincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub M Tarnawski
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary EnvironmentsLiyu Chen, Haipeng Luo
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Optimal Multi-Agent Learning for Safe Coverage ControlManish Prajapat, Matteo Turchetta, Melanie Zeilinger, Andreas Krause
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Optimal No-Regret Learning Dynamics for General Convex GamesGabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-Wei Lee, Christian Kroer, Tuomas Sandholm
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Optimal Private and Scalable $k$-ClusteringVincent Cohen-Addad, Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Optimal Randomized Exploration for Tabular Markov Decision ProcessesZhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S Du
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Optimal Regret Bounds for Multi-batch Reinforcement LearningZihan Zhang, Yuhang Jiang, Yuan Zhou, Xiangyang Ji
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Optimal Regret for Adversarial MDP with Delayed Bandit FeedbackTiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Near-Optimal Sample Complexity Bounds for Constrained MDPsSharan Vaswani, Lin Yang, Csaba Szepesvari
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial CorruptionsJiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback GraphsShinji Ito, Taira Tsuchiya, Junya Honda
Machine Learning
日本大学: 京都大学
2022 · NeurIPS
Nearly-Tight Bounds for Testing Histogram DistributionsClément L Canonne, Ilias Diakonikolas, Daniel Kane, Sihan Liu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax OptimizationJunchi YANG, Xiang Li, Niao He
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Network change point localisation under local differential privacyMengchu Li, Tom Berrett, Yi Yu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NeuForm: Adaptive Overfitting for Neural Shape EditingConnor Lin, Niloy Mitra, Gordon Wetzstein, Leonidas Guibas, Paul Guerrero
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NeuPhysics: Editable Neural Geometry and Physics from Monocular VideosYi-Ling Qiao, Alexander Gao, Ming Lin
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neur2SP: Neural Two-Stage Stochastic ProgrammingRahul Mihir Patel, Justin Dumouchelle, Elias Khalil, Merve Bodur
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device SimulationJiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray Chen, Duane Boning, David Pan
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural AbstractionsAlessandro Abate, Alec Edwards, Mirco Giacobbe
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Approximation of Graph Topological FeaturesZuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
Machine Learning
日本大学: 東京大学
2022 · NeurIPS
Neural Attentive CircuitsMartin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Erran Li Li, Nicolas Ballas
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Basis Models for InterpretabilityFilip Radenovic, Abhimanyu Dubey, Dhruv Mahajan
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Circuit Architectural Priors for Embodied ControlNikhil Bhattasali, Anthony M Zador, Tatiana Engel
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian ManifoldCan Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Conservation Laws: A Divergence-Free PerspectiveJack Richter-Powell, Yaron Lipman, Ricky T. Q. Chen
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning RulesKazuki Irie, Francesco Faccio, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Estimation of Submodular Functions with Applications to Differentiable Subset SelectionAbir De, Soumen Chakrabarti
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability GuaranteesRuikun Zhou, Thanin Quartz, Hans De Sterck, Jun Liu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Matching Fields: Implicit Representation of Matching Fields for Visual CorrespondenceSunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Network Architecture Beyond Width and DepthShijun Zhang, Zuowei Shen, Haizhao Yang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team MembersDaphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Set Function Extensions: Learning with Discrete Functions in High DimensionsNikolaos Karalias, Joshua W. Robinson, Andreas Loukas, Stefanie Jegelka
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Shape Deformation PriorsJiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Niessner
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNsCristian Bodnar, Francesco Di Giovanni, Benjamin Chamberlain, Pietro Lió, Michael Bronstein
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Neural Stochastic ControlJingdong Zhang, Qunxi Zhu, Wei LIN
Machine Learning
日本大学: 関与なし(対象大学)