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
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
WEI XING, Yuxin Wang, Zheng Xing
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Continual Learning for Instruction Following from Realtime Feedback
Alane Suhr, Yoav Artzi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Continuous Parametric Optical Flow
Jianqin Luo, Zhexiong Wan, yuxin mao, Bo Li, Yuchao Dai
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Continuous-Time Functional Diffusion Processes
Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Continuous-time Analysis of Anchor Acceleration
Jaewook Suh, Jisun Park, Ernest Ryu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, xishan zhang, Ling Li, Yunji Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time
Xinyuan Cao, Santosh Vempala
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
Chen Sun, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake Richards
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contrastive Sampling Chains in Diffusion Models
Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Aleksandar Stanić, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data
Yipeng Li, Xinchen Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels
Jungbin Kim, Insoon Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convergence of Actor-Critic with Multi-Layer Neural Networks
Haoxing Tian, Alex Olshevsky, Yannis Paschalidis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convergence of Adam Under Relaxed Assumptions
Haochuan Li, Alexander Rakhlin, Ali Jadbabaie
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convergence of Alternating Gradient Descent for Matrix Factorization
Rachel Ward, Tamara Kolda
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
Taiji Suzuki, Denny Wu, Atsushi Nitanda
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convex and Non-convex Optimization Under Generalized Smoothness
Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convex-Concave Zero-Sum Markov Stackelberg Games
Denizalp Goktas, Arjun Prakash, Amy Greenwald
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convolution Monge Mapping Normalization for learning on sleep data
Théo Gnassounou, Rémi Flamary, Alexandre Gramfort
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convolutional Neural Operators for robust and accurate learning of PDEs
Bogdan Raonic, Roberto Molinaro, Tim De Ryck, Tobias Rohner, Francesca Bartolucci, Rima Alaifari, Siddhartha Mishra, Emmanuel de Bézenac
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convolutional State Space Models for Long-Range Spatiotemporal Modeling
Jimmy Smith, Shalini De Mello, Jan Kautz, Scott Linderman, Wonmin Byeon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convolutional Visual Prompt for Robust Visual Perception
Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cookie Consent Has Disparate Impact on Estimation Accuracy
Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Coop: Memory is not a Commodity
Jianhao Zhang, Shihan Ma, Peihong Liu, Jinhui Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Coordinating Distributed Example Orders for Provably Accelerated Training
A. Feder Cooper, Wentao Guo, Duc Khiem Pham, Tiancheng Yuan, Charlie Ruan, Yucheng Lu, Christopher M De Sa
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Correlation Aware Sparsified Mean Estimation Using Random Projection
Shuli Jiang, PRANAY SHARMA, Gauri Joshi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt, Cengiz Pehlevan, Alper Erdogan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
Yixing Lao, Xiaogang Xu, zhipeng cai, Xihui Liu, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Corruption-Robust Offline Reinforcement Learning with General Function Approximation
Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CosNet: A Generalized Spectral Kernel Network
Yanfang Xue, Pengfei Fang, Jinyue Tian, Shipeng Zhu, hui xue
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Counterfactual Evaluation of Peer-Review Assignment Policies
Martin Saveski, Steven Jecmen, Nihar Shah, Johan Ugander
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Counterfactual Generation with Identifiability Guarantees
Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Counterfactual Memorization in Neural Language Models
Chiyuan Zhang, Daphne Ippolito, Katherine Lee, Matthew Jagielski, Florian Tramer, Nicholas Carlini
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
Shengpu Tang, Jenna Wiens
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Counterfactually Comparing Abstaining Classifiers
Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Counterfactually Fair Representation
Zhiqun Zuo, Mahdi Khalili, Xueru Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Counting Distinct Elements Under Person-Level Differential Privacy
Thomas Steinke, Alexander Knop
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation
Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation
Hao Zheng, Hongming Li, Yong Fan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Covariance-adaptive best arm identification
El Mehdi Saad, Gilles Blanchard, Nicolas Verzelen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Creating Multi-Level Skill Hierarchies in Reinforcement Learning
Joshua B. Evans, Ozgur Simsek
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Creating a Public Repository for Joining Private Data
James Cook, Milind Shyani, Nina Mishra
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Credal Marginal MAP
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fabio Cozman, Alexander G. Gray
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications
Darshil Doshi, Tianyu He, Andrey Gromov
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Kang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li, Wei Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cross-Episodic Curriculum for Transformer Agents
Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby, Linxi Fan, Yuke Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing
Maofeng Tang, Andrei Cozma, Konstantinos Georgiou, Hairong Qi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cross-modal Active Complementary Learning with Self-refining Correspondence
Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks
Haoyi Duan, Yan Xia, Zhou Mingze, Li Tang, Jieming Zhu, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
Qihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Crystal Structure Prediction by Joint Equivariant Diffusion
Rui Jiao, Wenbing Huang, Peijia Lin, Jiaqi Han, Pin Chen, Yutong Lu, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Curriculum Learning With Infant Egocentric Videos
Saber Sheybani, Himanshu Hansaria, Justin Wood, Linda Smith, Zoran Tiganj
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Zheng Zhang, Junxiang Wang, Liang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Curvature Filtrations for Graph Generative Model Evaluation
Joshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes Otterbach, Martin Genzel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Customizable Image Synthesis with Multiple Subjects
Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
Sihan Xu, Ziqiao Ma, Yidong Huang, Honglak Lee, Joyce Chai
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
Fenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi Amiri, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
D-CIPHER: Discovery of Closed-form Partial Differential Equations
Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
D-Separation for Causal Self-Explanation
Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, YuanKai Zhang, Yang Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion
Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DAC-DETR: Divide the Attention Layers and Conquer
Zhengdong Hu, Yifan Sun, Jingdong Wang, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation
Qingkai Fang, Yan Zhou, Yang Feng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation
Rui Sun, Huayu Mai, Tianzhu Zhang, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
Chenyangguang Zhang, Yan Di, Ruida Zhang, Guangyao Zhai, Fabian Manhardt, Federico Tombari, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis
Youngjoong Kwon, Lingjie Liu, Henry Fuchs, Marc Habermann, Christian Theobalt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DELTA: Diverse Client Sampling for Fasting Federated Learning
Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries
Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
Xunhan Hu, Jian Zhao, Wengang Zhou, Ruili Feng, Houqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
Mohammadreza Pourreza, Davood Rafiei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
Konstantinos Panousis, Sotirios Chatzis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization
Hua Wang, Sheng Gao, Huanyu Zhang, Weijie Su, Milan Shen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B G, Vincent Bindschaedler
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein
Daiwen Sun, He Huang, Yao Li, Xinqi Gong, Qiwei Ye
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Salva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Data Augmentations for Improved (Large) Language Model Generalization
Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Data Market Design through Deep Learning
Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Data Minimization at Inference Time
Cuong Tran, Ferdinando Fioretto
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Data Pruning via Moving-one-Sample-out
Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Data Quality in Imitation Learning
Suneel Belkhale, Yuchen Cui, Dorsa Sadigh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Data Selection for Language Models via Importance Resampling
Sang Michael Xie, Shibani Santurkar, Tengyu Ma, Percy Liang
Machine Learning
日本大学: 関与なし（対象大学）