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
Finite-Sample Maximum Likelihood Estimation of LocationShivam Gupta, Jasper Lee, ecprice, Paul Valiant
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural NetworksTao Sun, Dongsheng Li, Bao Wang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Finite-Time Last-Iterate Convergence for Learning in Multi-Player GamesYang Cai, Argyris Oikonomou, Weiqiang Zheng
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed BanditsTianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information MaximizationSiddharth Reddy, Sergey Levine, Anca Dragan
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical DataMao Ye, Lemeng Wu, Qiang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
First is Better Than Last for Language Data InfluenceChih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep K. Ravikumar
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
First-Order Algorithms for Min-Max Optimization in Geodesic Metric SpacesMichael I. Jordan, Tianyi Lin, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Fixed-Distance Hamiltonian Monte CarloHadi Mohasel Afshar, Sally Cripps
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Flamingo: a Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikołaj Bińkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessTri Dao, Dan Fu, Stefano Ermon, Atri Rudra, Christopher Ré
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Flexible Diffusion Modeling of Long VideosWilliam Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Flexible Neural Image Compression via Code EditingChenjian Gao, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
FlowHMM: Flow-based continuous hidden Markov modelsPawel Lorek, Rafal Nowak, Tomasz Trzcinski, Maciej Zieba
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Flowification: Everything is a normalizing flowBálint Máté, Samuel Klein, Tobias Golling, François Fleuret
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Focal Modulation NetworksJianwei Yang, Chunyuan Li, Xiyang Dai, Jianfeng Gao
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit FeedbackYan Dai, Haipeng Luo, Liyu Chen
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Forecasting Human Trajectory from Scene HistoryMancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Zhou, Fan Yang, Dinggang Shen
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Formalizing Consistency and Coherence of Representation LearningHarald Strömfelt, Luke Dickens, Artur Garcez, Alessandra Russo
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Formulating Robustness Against Unforeseen AttacksSihui Dai, Saeed Mahloujifar, Prateek Mittal
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov ChainsNicolai Engelmann, Heinz Koeppl
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Foundation Posteriors for Approximate Probabilistic InferenceMike Wu, Noah Goodman
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
FourierFormer: Transformer Meets Generalized Fourier Integral TheoremTan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley Osher, Nhat Ho
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
FourierNets enable the design of highly non-local optical encoders for computational imagingDiptodip Deb, Zhenfei Jiao, Ruth Sims, Alex Chen, Michael Broxton, Misha B Ahrens, Kaspar Podgorski, Srinivas C Turaga
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimatorLior Danon, Dan Garber
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
FreGAN: Exploiting Frequency Components for Training GANs under Limited Datamengping yang, Zhe Wang, Ziqiu Chi, Yanbing Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Free Probability for predicting the performance of feed-forward fully connected neural networksReda CHHAIBI, Tariq Daouda, Ezechiel Kahn
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning AttackTian Yu Liu, Yu Yang, Baharan Mirzasoleiman
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
From Gradient Flow on Population Loss to Learning with Stochastic Gradient DescentChristopher M De Sa, Satyen Kale, Jason Lee, Ayush Sekhari, Karthik Sridharan
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range ImagesZhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Fully Sparse 3D Object DetectionLue Fan, Feng Wang, Naiyan Wang, ZHAO-XIANG ZHANG
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Function Classes for Identifiable Nonlinear Independent Component AnalysisSimon Buchholz, Michel Besserve, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Functional Ensemble DistillationCoby Penso, Idan Achituve, Ethan Fetaya
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Functional Indirection Neural Estimator for Better Out-of-distribution GeneralizationKha Pham, Thai Hung Le, Man Ngo, Truyen Tran
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Fused Orthogonal Alternating Least Squares for Tensor ClusteringJiacheng Wang, Dan Nicolae
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Fuzzy Learning MachineJunbiao Cui, Jiye Liang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GAGA: Deciphering Age-path of Generalized Self-paced RegularizerXingyu Qu, Diyang Li, Xiaohan Zhao, Bin Gu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GAL: Gradient Assisted Learning for Decentralized Multi-Organization CollaborationsEnmao Diao, Jie Ding, Vahid Tarokh
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic SynthesisYushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, YAN ZHENG, Yi Li, Jianye Hao, Yang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GAMA: Generative Adversarial Multi-Object Scene AttacksAbhishek Aich, Calvin-Khang Ta, Akash Gupta, Chengyu Song, Srikanth Krishnamurthy, Salman Asif, Amit Roy-Chowdhury
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GAPX: Generalized Autoregressive Paraphrase-Identification XYifei Zhou, Renyu Li, Hayden Housen, Ser Nam Lim
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GAR: Generalized Autoregression for Multi-Fidelity FusionYuxin Wang, Zheng Xing, WEI XING
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GAUDI: A Neural Architect for Immersive 3D Scene GenerationMiguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua Susskind
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation ModelsWenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GENIE: Higher-Order Denoising Diffusion SolversTim Dockhorn, Arash Vahdat, Karsten Kreis
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from ImagesJun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural NetworksXingting Yao, Fanrong Li, Zitao Mo, Jian Cheng
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GLIPv2: Unifying Localization and Vision-Language UnderstandingHaotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation ModelsChen Liang, Wenguan Wang, Jiaxu Miao, Yi Yang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at ScaleTim Dettmers, Mike Lewis, Younes Belkada, Luke Zettlemoyer
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GRASP: Navigating Retrosynthetic Planning with Goal-driven PolicyYemin Yu, Ying Wei, Kun Kuang, Zhengxing Huang, Huaxiu Yao, Fei Wu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GREED: A Neural Framework for Learning Graph Distance FunctionsRishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan Chakaravarthy, Yogish Sabharwal, Sayan Ranu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative GamesShichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial NetworksJinsung Jeon, JEONGHAK KIM, Haryong Song, Seunghyeon Cho, Noseong Park
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GULP: a prediction-based metric between representationsEnric Boix-Adsera, Hannah Lawrence, George Stepaniants, Philippe Rigollet
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Gaussian Copula EmbeddingsChien Lu, Jaakko Peltonen
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GenSDF: Two-Stage Learning of Generalizable Signed Distance FunctionsGene Chou, Ilya Chugunov, Felix Heide
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-SpeechRongjie Huang, Yi Ren, Jinglin Liu, Chenye Cui, Zhou Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
General Cutting Planes for Bound-Propagation-Based Neural Network VerificationHuan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalised Implicit Neural RepresentationsDaniele Grattarola, Pierre Vandergheynst
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalised Mutual Information for Discriminative ClusteringLouis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith HARCHAOUI, Mickaël Leclercq, Arnaud Droit, Frederic Precioso
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalization Analysis of Message Passing Neural Networks on Large Random GraphsSohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalization Analysis on Learning with a Concurrent VerifierMasaaki Nishino, Kengo Nakamura, Norihito Yasuda
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalization Bounds for Estimating Causal Effects of Continuous TreatmentsXin Wang, Shengfei Lyu, Xingyu Wu, Tianhao Wu, Huanhuan Chen
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalization Bounds for Gradient Methods via Discrete and Continuous PriorXuanyuan Luo, Bei Luo, Jian Li
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalization Bounds for Stochastic Gradient Descent via Localized $\varepsilon$-CoversSejun Park, Umut Simsekli, Murat A Erdogdu
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust OptimizationYibo Zeng, Henry Lam
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalization Error Bounds on Deep Learning with Markov DatasetsLan V. Truong
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalization Gap in Amortized InferenceMingtian Zhang, Peter Hayes, David Barber
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalization Properties of NAS under Activation and Skip Connection SearchZhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalization for multiclass classification with overparameterized linear modelsVignesh Subramanian, Rahul Arya, Anant Sahai
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalized Delayed Feedback Model with Post-Click Information in Recommender SystemsJiaqi Yang, De-Chuan Zhan
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalized Laplacian EigenmapsHao Zhu, Piotr Koniusz
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalized One-shot Domain Adaptation of Generative Adversarial NetworksZicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep LearningVeit David Wild, Robert Hu, Dino Sejdinovic
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalizing Bayesian Optimization with Decision-theoretic EntropiesWillie Neiswanger, Lantao Yu, Shengjia Zhao, Chenlin Meng, Stefano Ermon
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary LossesYuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie GU, Bo An, Gang Niu, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2022 · NeurIPS
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal ReasoningWenhao Ding, Haohong Lin, Bo Li, DING ZHAO
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generating Long Videos of Dynamic ScenesTim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei Efros, Tero Karras
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingYu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)Ali Seyfi, Jean-Francois Rajotte, Raymond Ng
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generative Neural Articulated Radiance FieldsAlexander Bergman, Petr Kellnhofer, Wang Yifan, Eric Chan, David Lindell, Gordon Wetzstein
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generative Status Estimation and Information Decoupling for Image Rain RemovalDi Lin, Xin WANG, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementYan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative ModelsChen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando D De la Torre
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generative multitask learning mitigates target-causing confoundingTaro Makino, Krzysztof Geras, Kyunghyun Cho
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Generic bounds on the approximation error for physics-informed (and) operator learningTim De Ryck, Siddhartha Mishra
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view ReconstructionQiancheng Fu, Qingshan Xu, Yew Soon Ong, Wenbing Tao
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image ClassifiersJian Wang, Miaomiao Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Geodesic Graph Neural Network for Efficient Graph Representation LearningLecheng Kong, Yixin Chen, Muhan Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Geodesic Self-Attention for 3D Point CloudsZhengyu Li, XUAN TANG, Zihao Xu, Xihao Wang, Hui Yu, Mingsong Chen, xian wei
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Geometric Knowledge Distillation: Topology Compression for Graph Neural NetworksChenxiao Yang, Qitian Wu, Junchi Yan
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Geometric Order Learning for Rank EstimationSeon-Ho Lee, Nyeong Ho Shin, Chang-Su Kim
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Geometry-aware Two-scale PIFu Representation for Human ReconstructionZheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson Lau
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Get More at Once: Alternating Sparse Training with Gradient CorrectionLi Yang, Jian Meng, Jae-sun Seo, Deliang Fan
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GhostNetV2: Enhance Cheap Operation with Long-Range AttentionYehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Giga-scale Kernel Matrix-Vector Multiplication on GPURobert Hu, Siu Lun Chau, Dino Sejdinovic, Joan Glaunès
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Giving Feedback on Interactive Student Programs with Meta-ExplorationEvan Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
GlanceNets: Interpretable, Leak-proof Concept-based ModelsEmanuele Marconato, Andrea Passerini, Stefano Teso
Machine Learning
日本大学: 関与なし(対象大学)
2022 · NeurIPS
Global Convergence and Stability of Stochastic Gradient DescentVivak Patel, Shushu Zhang, Bowen Tian
Machine Learning
日本大学: 関与なし(対象大学)