NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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Machine Learning

2021 · 2,334 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。

2021 · NeurIPS
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Fredo Durand
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training
Huy Tuan Pham, Phan-Minh Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Aritra Mitra, Rayana Jaafar, George J. Pappas, Hamed Hassani
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models
Xiao Lv, Wei Cui, Yulong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters
Arvind Mahankali, David Woodruff
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Linear-Time Probabilistic Solution of Boundary Value Problems
Nicholas Krämer, Philipp Hennig
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Lip to Speech Synthesis with Visual Context Attentional GAN
Minsu Kim, Joanna Hong, Yong Man Ro
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
List-Decodable Mean Estimation in Nearly-PCA Time
Ilias Diakonikolas, Daniel Kane, Daniel Kongsgaard, Jerry Li, Kevin Tian
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Littlestone Classes are Privately Online Learnable
Noah Golowich, Roi Livni
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Local Differential Privacy for Regret Minimization in Reinforcement Learning
Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization
Travers Rhodes, Daniel D. Lee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Local Explanation of Dialogue Response Generation
Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Local Hyper-Flow Diffusion
Kimon Fountoulakis, Pan Li, Shenghao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels
Stefani Karp, Ezra Winston, Yuanzhi Li, Aarti Singh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Bernd Illing, Jean Ventura, Guillaume Bellec, Wulfram Gerstner
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Local policy search with Bayesian optimization
Sarah Müller, Alexander von Rohr, Sebastian Trimpe
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Locality Sensitive Teaching
Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
Alessandro Favero, Francesco Cagnetta, Matthieu Wyart
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Localization with Sampling-Argmax
Jiefeng Li, Tong Chen, Ruiqi Shi, Yujing Lou, Yong-Lu Li, Cewu Lu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Localization, Convexity, and Star Aggregation
Suhas Vijaykumar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models
Keunseo Kim, JunCheol Shin, Heeyoung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Locally differentially private estimation of functionals of discrete distributions
Cristina Butucea, Yann ISSARTEL
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Locally private online change point detection
Tom Berrett, Yi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Logarithmic Regret from Sublinear Hints
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Logarithmic Regret in Feature-based Dynamic Pricing
Jianyu Xu, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Long Short-Term Transformer for Online Action Detection
Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Long-Short Transformer: Efficient Transformers for Language and Vision
Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
Reuben Tan, Bryan Plummer, Kate Saenko, Hailin Jin, Bryan Russell
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Thomas FEL, Remi Cadene, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning
FEIHU ZHANG, Philip Torr, Rene Ranftl, Stephan Richter
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Loss function based second-order Jensen inequality and its application to particle variational inference
Futoshi Futami, Tomoharu Iwata, naonori ueda, Issei Sato, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2021 · NeurIPS
Lossy Compression for Lossless Prediction
Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J Maddison
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Low-Fidelity Video Encoder Optimization for Temporal Action Localization
Mengmeng Xu, Juan Manuel Perez Rua, Xiatian Zhu, Bernard Ghanem, Brais Martinez
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Low-Rank Constraints for Fast Inference in Structured Models
Justin Chiu, Yuntian Deng, Alexander Rush
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Atara Kaplan, Dan Garber
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Low-Rank Subspaces in GANs
Jiapeng Zhu, Ruili Feng, Yujun Shen, Deli Zhao, Zheng-Jun Zha, Jingren Zhou, Qifeng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
Richard Antonello, Javier S Turek, Vy Vo, Alexander Huth
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks
Dmitry Kovalev, Elnur Gasanov, Alexander Gasnikov, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
Yin Tat Lee, Ruoqi Shen, Kevin Tian
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Behnoush Khavari, Guillaume Rabusseau
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Luna: Linear Unified Nested Attention
Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
Elias Frantar, Eldar Kurtic, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MADE: Exploration via Maximizing Deviation from Explored Regions
Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph E Gonzalez, Stuart J. Russell
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents
Stephen Chung
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MAU: A Motion-Aware Unit for Video Prediction and Beyond
Zheng Chang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Yan Ye, Xiang Xinguang, Wen Gao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaid Harchaoui
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
Tomas Geffner, Justin Domke
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MERLOT: Multimodal Neural Script Knowledge Models
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MICo: Improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MOMA: Multi-Object Multi-Actor Activity Parsing
Zelun Luo, Wanze Xie, Siddharth Kapoor, Yiyun Liang, Michael Cooper, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MST: Masked Self-Supervised Transformer for Visual Representation
Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Machine Learning for Variance Reduction in Online Experiments
Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Machine learning structure preserving brackets for forecasting irreversible processes
Kookjin Lee, Nathaniel Trask, Panos Stinis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Machine versus Human Attention in Deep Reinforcement Learning Tasks
Suna (Sihang) Guo, Ruohan Zhang, Bo Liu, Yifeng Zhu, Dana Ballard, Mary M. Hayhoe, Peter Stone
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MagNet: A Neural Network for Directed Graphs
Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew Hirn
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy R Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Making a (Counterfactual) Difference One Rationale at a Time
Mitchell Plyler, Michael Green, Min Chi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Making the most of your day: online learning for optimal allocation of time
Etienne Boursier, Tristan Garrec, Vianney Perchet, Marco Scarsini
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Manipulating SGD with Data Ordering Attacks
I Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A Erdogdu, Ross J Anderson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Margin-Independent Online Multiclass Learning via Convex Geometry
Guru Guruganesh, Allen Liu, Jon Schneider, Joshua Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Marginalised Gaussian Processes with Nested Sampling
Fergus Simpson, Vidhi Lalchand, Carl Edward Rasmussen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MarioNette: Self-Supervised Sprite Learning
Dmitriy Smirnov, MICHAEL GHARBI, Matthew Fisher, Vitor Guizilini, Alexei Efros, Justin M Solomon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Mastering Atari Games with Limited Data
Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Matching a Desired Causal State via Shift Interventions
Jiaqi Zhang, Chandler Squires, Caroline Uhler
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Matrix encoding networks for neural combinatorial optimization
Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Matrix factorisation and the interpretation of geodesic distance
Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song, Conor Durkan, Iain Murray, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Measuring Generalization with Optimal Transport
Ching-Yao Chuang, Youssef Mroueh, Kristjan Greenewald, Antonio Torralba, Stefanie Jegelka
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Medical Dead-ends and Learning to Identify High-Risk States and Treatments
Mehdi Fatemi, Taylor W Killian, Jayakumar Subramanian, Marzyeh Ghassemi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Memory Efficient Meta-Learning with Large Images
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard Turner
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering
Nimita Shinde, Vishnu Narayanan, James Saunderson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Memory-efficient Patch-based Inference for Tiny Deep Learning
Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Meta Internal Learning
Raphael Bensadoun, Shir Gur, Tomer Galanti, Lior Wolf
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Meta Learning Backpropagation And Improving It
Louis Kirsch, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Meta-Adaptive Nonlinear Control: Theory and Algorithms
Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Meta-Learning Reliable Priors in the Function Space
Jonas Rothfuss, Dominique Heyn, jinfan Chen, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Meta-Learning Sparse Implicit Neural Representations
Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
Maksym Yatsura, Jan Metzen, Matthias Hein
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Meta-learning to Improve Pre-training
Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David K. Duvenaud
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
Shaofei Wang, Marko Mihajlovic, Qianli Ma, Andreas Geiger, Siyu Tang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Runzhe Wan, Lin Ge, Rui Song
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Hyeonjin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J Kim
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Angeliki Lazaridou, Adhi Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Tomas Kocisky, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, Phil Blunsom
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization
Qi Deng, Wenzhi Gao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
Jeffrey Negrea, Blair Bilodeau, Nicolò Campolongo, Francesco Orabona, Dan Roy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Minimax Regret for Stochastic Shortest Path
Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Minimizing Polarization and Disagreement in Social Networks via Link Recommendation
Liwang Zhu, Qi Bao, Zhongzhi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Mining the Benefits of Two-stage and One-stage HOI Detection
Aixi Zhang, Yue Liao, Si Liu, Miao Lu, Yongliang Wang, Chen Gao, XIAOBO LI
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Mirror Langevin Monte Carlo: the Case Under Isoperimetry
Qijia Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）