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

2023 · 3,218 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。

2023 · NeurIPS
Meta-in-context learning in large language models
Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt Botvinick, Jane Wang, Eric Schulz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
Basile Confavreux, Poornima Ramesh, Pedro J Goncalves, Jakob H Macke, Tim Vogels
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Metis: Understanding and Enhancing In-Network Regular Expressions
Zhengxin Zhang, Yucheng Huang, Guanglin Duan, Qing Li, Dan Zhao, Yong Jiang, Lianbo Ma, Xi Xiao, Hengyang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Metropolis Sampling for Constrained Diffusion Models
Nic Fishman, Leo Klarner, Emile Mathieu, Michael Hutchinson, Valentin De Bortoli
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, BIN FU, Tao Chen, Gang Yu, Shenghua Gao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
Moritz Haas, David Holzmüller, Ulrike V. Luxburg, Ingo Steinwart
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
Veronica Alvarez, Santiago Mazuelas, Jose A. Lozano
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
Dat Do, Huy Nguyen, Khai Nguyen, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy
Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Minimax-Optimal Location Estimation
Shivam Gupta, Jasper Lee, ecprice, Paul Valiant
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Minimum Description Length and Generalization Guarantees for Representation Learning
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Minimum norm interpolation by perceptra: Explicit regularization and implicit bias
Jiyoung Park, Ian Pelakh, Stephan Wojtowytsch
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Minimum-Risk Recalibration of Classifiers
Zeyu Sun, Dogyoon Song, Alfred O. Hero
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields
Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mirror Diffusion Models for Constrained and Watermarked Generation
Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou, Molei Tao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
Tam Nguyen, Tan Nguyen, Richard Baraniuk
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mitigating Source Bias for Fairer Weak Supervision
Changho Shin, Sonia Cromp, Dyah Adila, Frederic Sala
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mitigating Test-Time Bias for Fair Image Retrieval
Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mitigating the Effect of Incidental Correlations on Part-based Learning
Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N Balasubramanian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
Yifei Zhang, Hao Zhu, yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, WUYOU XIAO, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MixFormerV2: Efficient Fully Transformer Tracking
Yutao Cui, Tianhui Song, Gangshan Wu, Limin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
Esmaeil Seraj, Jerry Xiong, Mariah Schrum, Matthew Gombolay
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mnemosyne: Learning to Train Transformers with Transformers
Deepali Jain, Krzysztof M Choromanski, Kumar Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks
Allen Nie, Yuhui Zhang, Atharva Shailesh Amdekar, Chris Piech, Tatsunori B Hashimoto, Tobias Gerstenberg
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MoVie: Visual Model-Based Policy Adaptation for View Generalization
Sizhe Yang, Yanjie Ze, Huazhe Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM
Ziba Parsons, Fei Dou, Houyi Du, Zheng Song, Jin Lu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
Yung-Hsuan Lai, Yen-Chun Chen, Frank Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mode Connectivity in Auction Design
Christoph Hertrich, Yixin Tao, László A. Végh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Model Shapley: Equitable Model Valuation with Black-box Access
Xinyi Xu, Thanh Lam, Chuan Sheng Foo, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Model Sparsity Can Simplify Machine Unlearning
Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, PRANAY SHARMA, Sijia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
Van Cuong Pham, Cuong Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Model-Based Control with Sparse Neural Dynamics
Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Fei-Fei Li, Jiajun Wu, Yunzhu Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Model-Free Active Exploration in Reinforcement Learning
Alessio Russo, Alexandre Proutiere
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient
Dylan J Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Model-enhanced Vector Index
Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin CUI
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Model-free Posterior Sampling via Learning Rate Randomization
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Ménard
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
Jung Yeon Park, Lawson Wong, Robin Walters
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network
Zitang Sun, Yen-Ju Chen, Yung-Hao Yang, Shin'ya Nishida
Machine Learning
日本大学: 京都大学
2023 · NeurIPS
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
Michael Bereket, Theofanis Karaletsos
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Modulated Neural ODEs
Ilze Amanda Auzina, Çağatay Yıldız, Sara Magliacane, Matthias Bethge, Efstratios Gavves
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Module-wise Adaptive Distillation for Multimodality Foundation Models
Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Module-wise Training of Neural Networks via the Minimizing Movement Scheme
Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
weitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-Ming Ma, Shengchao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Moment Matching Denoising Gibbs Sampling
Mingtian Zhang, Alex Hawkins-Hooker, Brooks Paige, David Barber
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MomentDiff: Generative Video Moment Retrieval from Random to Real
Pandeng Li, Chen-Wei Xie, Hongtao Xie, Liming Zhao, Lei Zhang, Yun Zheng, Deli Zhao, Yongdong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Momentum Provably Improves Error Feedback!
Ilyas Fatkhullin, Alexander Tyurin, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
Dan Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues
Jia Jinrang, Zhenjia Li, Yifeng Shi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Monte Carlo Tree Search with Boltzmann Exploration
Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Moral Responsibility for AI Systems
Sander Beckers
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining
Jacob Portes, Alexander Trott, Sam Havens, DANIEL KING, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Most Neural Networks Are Almost Learnable
Amit Daniely, Nati Srebro, Gal Vardi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MotionGPT: Human Motion as a Foreign Language
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, Tao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi Time Scale World Models
Vaisakh Shaj Kumar, SALEH GHOLAM ZADEH, Ozan Demir, Luiz Douat, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Agent First Order Constrained Optimization in Policy Space
Youpeng Zhao, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits
Anh Do, Thanh Nguyen-Tang, Raman Arora
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar Iyer, Tamer Basar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Fidelity Multi-Armed Bandits Revisited
Xuchuang Wang, Qingyun Wu, Wei Chen, John C.S. Lui
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Head Adapter Routing for Cross-Task Generalization
Lucas Page-Caccia, Edoardo Maria Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
Guanren Qiao, Guiliang Liu, Pascal Poupart, Zhiqiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization
Alex Foo, Wynne Hsu, Mong Li Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems
Zhendong Chu, Nan Wang, Hongning Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Chanwoo Park, Kaiqing Zhang, Asuman Ozdaglar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
Haoran Chen, Xintong Han, Zuxuan Wu, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models
Lucas N. Alegre, Ana Bazzan, Ann Nowe, Bruno C. da Silva
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-Swap k-Means++
Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
Jia-Xing Zhong, Ta-Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-modal Queried Object Detection in the Wild
Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion
Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-scale Diffusion Denoised Smoothing
Jongheon Jeong, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum
Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert Nowak
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multi-task learning with summary statistics
Parker Knight, Rui Duan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew M Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks
Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria
Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice
Aiwen Xu, Yuchen Hou, Cristopher Niell, Michael Beyeler
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions
Kai Tan, Pierre C Bellec
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multiplication-Free Transformer Training via Piecewise Affine Operations
Atli Kosson, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multiply Robust Federated Estimation of Targeted Average Treatment Effects
Larry Han, Zhu Shen, Jose Zubizarreta
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mutual Information Regularized Offline Reinforcement Learning
Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mutual-Information Regularized Multi-Agent Policy Iteration
Wang, Deheng Ye, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
NAP: Neural 3D Articulated Object Prior
Jiahui Lei, Congyue Deng, William B Shen, Leonidas Guibas, Kostas Daniilidis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
Yun Yi, Haokui Zhang, Rong Xiao, Nannan Wang, Xiaoyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
NAS-X: Neural Adaptive Smoothing via Twisting
Dieterich Lawson, Michael Li, Scott Linderman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
NCDL: A Framework for Deep Learning on non-Cartesian Lattices
Joshua Horacsek, Usman Alim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks
Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs
Yao Ni, Piotr Koniusz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
Saurav Jha, Dong Gong, He Zhao, Lina Yao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
Stefan Lionar, Xiangyu Xu, Min Lin, Gim Hee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos
Jinxi Li, Ziyang Song, Bo Yang
Machine Learning
日本大学: 関与なし（対象大学）