NeurIPS

2022–2026 LIVE

著者一覧 · 国際会議 · 大学ランキング

NeurIPS 公式サイト ↗

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
Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
Gongjie Zhang, Jiahao Lin, Shuang Wu, yilin song, Zhipeng Luo, Yang Xue, Shijian Lu, Zuoguan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Nonstochastic Model-Free Reinforcement Learning
Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online PCA in Converging Self-consistent Field Equations
Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou Ammar, Lei Wang, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online POMDP Planning with Anytime Deterministic Guarantees
Moran Barenboim, Vadim Indelman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games
Zihan Zhu, Ethan Fang, Zhuoran Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Pricing for Multi-User Multi-Item Markets
Yigit Efe Erginbas, Thomas Courtade, Kannan Ramchandran, Soham Phade
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
Gellert Weisz, András György, Csaba Szepesvari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online learning of long-range dependencies
Nicolas Zucchet, Robert Meier, Simon Schug, Asier Mujika, Joao Sacramento
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online robust non-stationary estimation
Abishek Sankararaman, Balakrishnan Narayanaswamy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation
Tingliang Feng, Hao Shi, Xueyang Liu, Wei Feng, Liang Wan, Yanlin Zhou, Di Lin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
OpenMask3D: Open-Vocabulary 3D Instance Segmentation
Ayca Takmaz, Elisabetta Fedele, Robert Sumner, Marc Pollefeys, Federico Tombari, Francis Engelmann
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Opening the Vocabulary of Egocentric Actions
Dibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Operation-Level Early Stopping for Robustifying Differentiable NAS
Shen Jiang, Zipeng Ji, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Operator Learning with Neural Fields: Tackling PDEs on General Geometries
Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
Aleksandr Pak, Justin Ko, Florent Krzakala
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
Zixing Song, Yifei Zhang, Irwin King
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression
Ayoub El Hanchi, Murat A Erdogdu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Exploration for Model-Based RL in Nonlinear Systems
Andrew Wagenmaker, Guanya Shi, Kevin G. Jamieson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure
Angela Yuan, Chris Junchi Li, Gauthier Gidel, Michael I. Jordan, Quanquan Gu, Simon S Du
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang, Junchi YANG, Amin Karbasi, Niao He
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Preconditioning and Fisher Adaptive Langevin Sampling
Michalis K. Titsias
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Rates for Bandit Nonstochastic Control
Y. Jennifer Sun, Stephen Newman, Elad Hazan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model
Alexander Tyurin, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Transport Model Distributional Robustness
Van-Anh Nguyen, Trung Le, Anh Bui, Thanh-Toan Do, Dinh Phung
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Transport for Treatment Effect Estimation
Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Transport-Guided Conditional Score-Based Diffusion Model
Xiang Gu, Liwei Yang, Jian Sun, Zongben Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, hongtu zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Treatment Regimes for Proximal Causal Learning
Tao Shen, Yifan Cui
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal Unbiased Randomizers for Regression with Label Differential Privacy
Ashwinkumar Badanidiyuru Varadaraja, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal and Fair Encouragement Policy Evaluation and Learning
Angela Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal approximation using complex-valued neural networks
Paul Geuchen, Felix Voigtlaender
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal cross-learning for contextual bandits with unknown context distributions
Jon Schneider, Julian Zimmert
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning
Georgios Kaissis, Alexander Ziller, Stefan Kolek, Anneliese Riess, Daniel Rueckert
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimal testing using combined test statistics across independent studies
Lasse Vuursteen, Botond Szabo, Aad van der Vaart, Harry van Zanten
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments
Trung Dang, Jasper Lee, Maoyuan 'Raymond' Song, Paul Valiant
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimality of Message-Passing Architectures for Sparse Graphs
Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimistic Active Exploration of Dynamical Systems
Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
Sarath Sreedharan, Michael Katz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimistic Meta-Gradients
Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado P van Hasselt, András György, Satinder P. Singh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL
Qinghua Liu, Gellert Weisz, András György, Chi Jin, Csaba Szepesvari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimistic Rates for Multi-Task Representation Learning
Austin Watkins, Enayat Ullah, Thanh Nguyen-Tang, Raman Arora
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks
Zhengmian Hu, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimization of Inter-group criteria for clustering with minimum size constraints
Eduardo Laber, Lucas Murtinho
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimization or Architecture: How to Hack Kalman Filtering
Ido Greenberg, Netanel Yannay, Shie Mannor
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal
Leah Chrestien, Stefan Edelkamp, Antonin Komenda, Tomas Pevny
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimized Covariance Design for AB Test on Social Network under Interference
Qianyi Chen, Bo Li, Lu Deng, Yong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimizing Prompts for Text-to-Image Generation
Yaru Hao, Zewen Chi, Li Dong, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Optimizing over trained GNNs via symmetry breaking
Shiqiang Zhang, Juan Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
Yankun Huang, Qihang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M Dai, Behrooz Ghorbani
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Ordering-based Conditions for Global Convergence of Policy Gradient Methods
Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvari, Dale Schuurmans
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Orthogonal Non-negative Tensor Factorization based Multi-view Clustering
Jing Li, Quanxue Gao, QIANQIAN WANG, Ming Yang, Wei Xia
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Haotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Outlier-Robust Gromov-Wasserstein for Graph Data
Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Outlier-Robust Wasserstein DRO
Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting
Sungwon Kim, Kevin Shih, rohan badlani, Joao Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PAC Learning Linear Thresholds from Label Proportions
Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PAPR: Proximity Attention Point Rendering
Yanshu Zhang, Shichong Peng, Alireza Moazeni, Ke Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PCF-GAN: generating sequential data via the characteristic function of measures on the path space
Hang Lou, Siran Li, Hao Ni
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Phillip Lippe, Bas Veeling, Paris Perdikaris, Richard Turner, Johannes Brandstetter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang Yu, Tao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PDP: Parameter-free Differentiable Pruning is All You Need
Minsik Cho, Saurabh Adya, Devang Naik
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems
Jihui Jin, Etienne Ollivier, Richard Touret, Matthew McKinley, Karim Sabra, Justin Romberg
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
Peiqing Yang, Shangchen Zhou, Qingyi Tao, Chen Change Loy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PHOTOSWAP: Personalized Subject Swapping in Images
Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, HE Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos Psaros, Kenji Kawaguchi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
Ian Char, Jeff G. Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua Susskind, Navdeep Jaitly
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
Hojoon Lee, Hanseul Cho, HYUNSEUNG KIM, DAEHOON GWAK, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
POMDP Planning for Object Search in Partially Unknown Environment
Yongbo Chen, Hanna Kurniawati
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
Antonin Vobecky, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
Zhizhang Yuan, Daoze Zhang, YANG YANG, Junru Chen, Yafeng Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds
Hao Yang, Haiyang Wang, Di Dai, Liwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PRODIGY: Enabling In-context Learning Over Graphs
Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PROTES: Probabilistic Optimization with Tensor Sampling
Anastasiia Batsheva, Andrei Chertkov, Gleb Ryzhakov, Ivan Oseledets
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PTQD: Accurate Post-Training Quantization for Diffusion Models
Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile
Peiyan Dong, LEI LU, Chao Wu, Cheng Lyu, Geng Yuan, Hao Tang, Yanzhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PaintSeg: Painting Pixels for Training-free Segmentation
Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang, Rita Singh, Bhiksha Raj
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Pairwise Causality Guided Transformers for Event Sequences
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P Bennett
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas
Zheng Chen, Yan-Pei Cao, Yuan-Chen Guo, Chen Wang, Ying Shan, Song-Hai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
Jialu Li, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Parallel Submodular Function Minimization
Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang, Aaron Sidford
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Parallel-mentoring for Offline Model-based Optimization
Can (Sam) Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal
Machine Learning
日本大学: 関与なし（対象大学）