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
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
Zijiao Chen, Jiaxin Qing, Juan Helen Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Circuit as Set of Points
Jialv Zou, Xinggang Wang, Jiahao Guo, Wenyu Liu, Qian Zhang, Chang Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Class-Conditional Conformal Prediction with Many Classes
Tiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J Tibshirani
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach
Urte Adomaityte, Gabriele Sicuro, Pierpaolo Vivo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Clifford Group Equivariant Neural Networks
David Ruhe, Johannes Brandstetter, Patrick Forré
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits
Ruo-Chun Tzeng, Po-An Wang, Alexandre Proutiere, Chi-Jen Lu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Closing the gap between the upper bound and lower bound of Adam's iteration complexity
Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
Yingjie Wang, Jiajun Deng, Yuenan Hou, Yao Li, Yu Zhang, Jianmin Ji, Wanli Ouyang, Yanyong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ClusterFomer: Clustering As A Universal Visual Learner
James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Clustering the Sketch: Dynamic Compression for Embedding Tables
Henry Tsang, Thomas Ahle
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
Yang Cao, Zeng Yihan, Hang Xu, Dan Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
Chuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift
Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
Andres Potapczynski, Marc Finzi, Geoff Pleiss, Andrew G Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning
Dadallage A R Silva, Spencer Whitehead, Christopher Lengerich, Hugh Leather
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-jie Lu, Runsheng Wang, Ru Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cognitive Model Discovery via Disentangled RNNs
Kevin Miller, Maria Eckstein, Matt Botvinick, Zeb Kurth-Nelson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections
Talia Konkle, George Alvarez
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Coherent Soft Imitation Learning
Joe Watson, Sandy Huang, Nicolas Heess
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Collaborative Alignment of NLP Models
Fereshte Khani, Marco Tulio Ribeiro
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Collaborative Learning via Prediction Consensus
Dongyang Fan, Celestine Mendler-Dünner, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Collaborative Score Distillation for Consistent Visual Editing
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Collaboratively Learning Linear Models with Structured Missing Data
Chen Cheng, Gary Cheng, John C. Duchi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Collapsed Inference for Bayesian Deep Learning
Zhe Zeng, Guy Van den Broeck
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Color Equivariant Convolutional Networks
Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
Chenyang Le, Yao Qian, Long Zhou, Shujie LIU, Yanmin Qian, Michael Zeng, Xuedong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Combating Bilateral Edge Noise for Robust Link Prediction
Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, LI He, Liang Wang, Bo Zheng, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Combating Representation Learning Disparity with Geometric Harmonization
Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Combinatorial Group Testing with Selfish Agents
Georgios Chionas, Dariusz Kowalski, Piotr Krysta
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Combinatorial Optimization with Policy Adaptation using Latent Space Search
Felix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Combining Behaviors with the Successor Features Keyboard
Wilka Carvalho Carvalho, Andre Saraiva, Angelos Filos, Andrew Lampinen, Loic Matthey, Richard L Lewis, Honglak Lee, Satinder P. Singh, Danilo Jimenez Rezende, Daniel Zoran
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Common Ground in Cooperative Communication
Xiaoran Hao, Yash Jhaveri, Patrick Shafto
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems
Junyi Li, Feihu Huang, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Compact Neural Volumetric Video Representations with Dynamic Codebooks
Haoyu Guo, Sida Peng, Yunzhi Yan, Linzhan Mou, Yujun Shen, Hujun Bao, Xiaowei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
Leonidas Tsepenekas, Ivan Brugere, Freddy Lecue, Daniele Magazzeni
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions
Duligur Ibeling, Thomas Icard
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Saurabh Garg, Amrith Setlur, Zachary Lipton, Sivaraman Balakrishnan, Virginia Smith, Aditi Raghunathan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Complexity Matters: Rethinking the Latent Space for Generative Modeling
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control
Xingang Guo, Darioush Keivan, Geir Dullerud, Peter Seiler, Bin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Composing Parameter-Efficient Modules with Arithmetic Operation
Jinghan Zhang, shiqi chen, Junteng Liu, Junxian He
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
Maya Okawa, Ekdeep S Lubana, Robert Dick, Hidenori Tanaka
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Compositional Foundation Models for Hierarchical Planning
Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Josh Tenenbaum, Leslie P. Kaelbling, Akash Srivastava, Pulkit Agrawal
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Compositional Generalization from First Principles
Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
Đorđe Žikelić, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas Henzinger
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Compositional Sculpting of Iterative Generative Processes
Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi Jaakkola
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Compressed Video Prompt Tuning
Bing Li, Jiaxin Chen, Xiuguo Bao, Di Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Compression with Bayesian Implicit Neural Representations
Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy
Amit Daniely, Nati Srebro, Gal Vardi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Computational Guarantees for Doubly Entropic Wasserstein Barycenters
Tomas Vaskevicius, Lénaïc Chizat
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Computing Approximate $\ell_p$ Sensitivities
Swati Padmanabhan, David Woodruff, Richard Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
Brian Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Computing Optimal Nash Equilibria in Multiplayer Games
Youzhi Zhang, Bo An, Venkatramanan Subrahmanian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Computing a human-like reaction time metric from stable recurrent vision models
Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok, Aarit Ahuja, David Sheinberg, Thomas Serre
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image
Senthil Purushwalkam, Nikhil Naik
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Concept Algebra for (Score-Based) Text-Controlled Generative Models
Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
Avani Gupta, Saurabh Saini, P J Narayanan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conditional Matrix Flows for Gaussian Graphical Models
Marcello Massimo Negri, Fabricio Arend Torres, Volker Roth
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Mhairi Dunion, Trevor McInroe, Kevin Luck, Josiah Hanna, Stefano Albrecht
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conditional Score Guidance for Text-Driven Image-to-Image Translation
Hyunsoo Lee, Minsoo Kang, Bohyung Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conditional independence testing under misspecified inductive biases
Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conditional score-based diffusion models for Bayesian inference in infinite dimensions
Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Coneheads: Hierarchy Aware Attention
Albert Tseng, Tao Yu, Toni Liu, Christopher M De Sa
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
Ahmed M. Alaa, Zaid Ahmad, Mark van der Laan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conformal PID Control for Time Series Prediction
Anastasios Angelopoulos, Emmanuel Candes, Ryan J Tibshirani
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conformal Prediction Sets for Ordinal Classification
Prasenjit Dey, Srujana Merugu, Sivaramakrishnan R Kaveri
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conformal Prediction for Time Series with Modern Hopfield Networks
Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
Jiankai Sun, Yiqi Jiang, Jianing Qiu, Parth Nobel, Mykel J Kochenderfer, Mac Schwager
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conformalized matrix completion
Yu Gui, Rina Barber, Cong Ma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems
Sihan Zeng, Thinh Doan, Justin Romberg
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Connecting Certified and Adversarial Training
Yuhao Mao, Mark Müller, Marc Fischer, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Connecting Multi-modal Contrastive Representations
Zehan Wang, Yang Zhao, Xize 成, Haifeng Huang, Jiageng Liu, Aoxiong Yin, Li Tang, Linjun Li, Yongqi Wang, Ziang Zhang, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Connecting Pre-trained Language Model and Downstream Task via Properties of Representation
Chenwei Wu, Holden Lee, Rong Ge
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conservative Offline Policy Adaptation in Multi-Agent Games
Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Saravanakumar Rajmohan, Thomas Moscibroda, Dongmei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
Silviu Pitis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Constant Approximation for Individual Preference Stable Clustering
Anders Aamand, Justin Chen, Allen Liu, Sandeep Silwal, Pattara Sukprasert, Ali Vakilian, Fred Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
Jing Zhang, Chi Zhang, Wenjia Wang, Bingyi Jing
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
Yihang Yao, ZUXIN LIU, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, DING ZHAO
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing
Xi Yu, Xiang Gu, Haozhi Liu, Jian Sun
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Content-based Unrestricted Adversarial Attack
Zhaoyu Chen, Bo Li, Shuang Wu, Kaixun Jiang, Shouhong Ding, Wenqiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Context Shift Reduction for Offline Meta-Reinforcement Learning
Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Context-PIPs: Persistent Independent Particles Demands Spatial Context Features
Weikang Bian, Zhaoyang Huang, Xiaoyu Shi, Yitong Dong, Yijin Li, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes
Yishi Xu, Jianqiao Sun, Yudi Su, Xinyang Liu, Zhibin Duan, Bo Chen, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Context-lumpable stochastic bandits
Chung-Wei Lee, Qinghua Liu, Yasin Abbasi Yadkori, Chi Jin, Tor Lattimore, Csaba Szepesvari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contextual Bandits and Imitation Learning with Preference-Based Active Queries
Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contextual Gaussian Process Bandits with Neural Networks
Haoting Zhang, Jinghai He, Rhonda Righter, Zuo-Jun Shen, Zeyu Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contextual Stochastic Bilevel Optimization
Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Huhn
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Contextually Affinitive Neighborhood Refinery for Deep Clustering
Chunlin Yu, Ye Shi, Jingya Wang
Machine Learning
日本大学: 関与なし（対象大学）