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

2024 · 4,034 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。

2024 · NeurIPS
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
Chandramouli S. Sastry, Sri Harsha Dumpala, Sageev Oore
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffGS: Functional Gaussian Splatting Diffusion
Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
Kaibo Wang, Xiaowen Fu, Yuxuan Han, Yang Xiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
Hanyang Chen, Yang Jiang, Shengnan Guo, Xiaowei Mao, Youfang Lin, Huaiyu Wan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffPO: A causal diffusion model for learning distributions of potential outcomes
Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
Weicai Ye, Chenhao Ji, Zheng Chen, Junyao Gao, Xiaoshui Huang, Song-Hai Zhang, Wanli Ouyang, Tong He, Cairong Zhao, Guofeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffPhyCon: A Generative Approach to Control Complex Physical Systems
Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffSF: Diffusion Models for Scene Flow Estimation
Yushan Zhang, Bastian Wandt, Maria Magnusson, Michael Felsberg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
Weikang Wan, Ziyu Wang, Yufei Wang, Zackory Erickson, David Held
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffeomorphic interpolation for efficient persistence-based topological optimization
Mathieu Carrière, Marc Theveneau, Théo Lacombe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation
Jin Woo Lee, Jaehyun Park, Min Jun Choi, Kyogu Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differentiable Quantum Computing for Large-scale Linear Control
Connor Clayton, Jiaqi Leng, Gengzhi Yang, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differentiable Structure Learning with Partial Orders
Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Xin Wang, Derui Lyu, Huanhuan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
Luigi Seminara, Giovanni Maria Farinella, Antonino Furnari
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features
Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differentially Private Equivalence Testing for Continuous Distributions and Applications
Daniel Omer, Or Sheffet
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
Rongzhe Wei, Eli Chien, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differentially Private Optimization with Sparse Gradients
Badih Ghazi, Cristóbal Guzmán, Pritish Kamath, Ravi Kumar, Pasin Manurangsi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differentially Private Reinforcement Learning with Self-Play
Dan Qiao, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differentially Private Set Representations
Sarvar Patel, Giuseppe Persiano, Joon Young Seo, Kevin Yeo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement
Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffuBox: Refining 3D Object Detection with Point Diffusion
Xiangyu Chen, Zhenzhen Liu, Katie Z Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark Campbell, Bharath Hariharan, Kilian Q. Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
Jie Shao, Ke Zhu, Hanxiao Zhang, Jianxin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model
Abdullah Bin Jasni, Akiko Manada, Kohei Watabe
Machine Learning
日本大学: 埼玉大学
2024 · NeurIPS
DiffuserLite: Towards Real-time Diffusion Planning
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusing Differentiable Representations
Yash Savani, Marc Finzi, J. Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Actor-Critic with Entropy Regulator
Yinuo Wang, Likun Wang, Yuxuan Jiang, Wenjun Zou, Tong Liu, Xujie Song, Wenxuan Wang, Liming Xiao, Jiang Wu, Jingliang Duan, Shengbo Eben Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Boyuan Chen, Diego Martí Monsó, Yilun Du, Max Simchowitz, Russ Tedrake, Vincent Sitzmann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Imitation from Observation
Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai, Dai-Jie Wu, Shao-Hua Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
Tao Yang, Cuiling Lan, Yan Lu, Nanning Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Models With Learned Adaptive Noise
Subham Sekhar Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Models are Certifiably Robust Classifiers
Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew Luo, Yonatan Bisk
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
Tianyu Chen, Zhendong Wang, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
Yipu Chen, Haotian Xue, Yongxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Priors for Variational Likelihood Estimation and Image Denoising
Jun Cheng, Shan Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Spectral Representation for Reinforcement Learning
Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
Giangiacomo Mercatali, Yogesh Verma, Andre Freitas, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce, François Fleuret
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
Liyuan Mao, Haoran Xu, Xianyuan Zhan, Weinan Zhang, Amy Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
Jiamian Wang, Pichao Wang, Dongfang Liu, Qiang Guan, Sohail Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion-based Curriculum Reinforcement Learning
Erdi Sayar, Giovanni Iacca, Ozgur S. Oguz, Alois Knoll
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
Ying Yang, De Cheng, Chaowei Fang, Yubiao Wang, Changzhe Jiao, Lechao Cheng, Nannan Wang, Xinbo Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models
Hanwen Liang, Yuyang Yin, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, Yunchao Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
Bowen Song, Jason Hu, Zhaoxu Luo, Jeffrey A. Fessler, Liyue Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
Ke Sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiffusionPDE: Generative PDE-Solving under Partial Observation
Jiahe Huang, Guandao Yang, Zichen Wang, Jeong Joon Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
Hao Bai, Yifei Zhou, Mert Cemri, Jiayi Pan, Alane Suhr, Sergey Levine, Aviral Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dimension-free Private Mean Estimation for Anisotropic Distributions
Yuval Dagan, Michael I. Jordan, Xuelin Yang, Lydia Zakynthinou, Nikita Zhivotovskiy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dimension-free deterministic equivalents and scaling laws for random feature regression
Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models
Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
Tian Huang, Shengbo Wang, Ke Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
Shuang Wu, Youtian Lin, Feihu Zhang, Yifei Zeng, Jingxi Xu, Philip Torr, Xun Cao, Yao Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron Defazio, Robert M. Gower
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text
Xinyang Li, Zhangyu Lai, Linning Xu, Yansong Qu, Liujuan Cao, Shengchuan Zhang, Bo Dai, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DisC-GS: Discontinuity-aware Gaussian Splatting
Haoxuan Qu, Zhuoling Li, Hossein Rahmani, Yujun Cai, Jun Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DisCEdit: Model Editing by Identifying Discriminative Components
Chaitanya Murti, Chiranjib Bhattacharyya
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
Borja G. Leon, Francesco Riccio, Kaushik Subramanian, Peter R. Wurman, Peter Stone
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Discovering Preference Optimization Algorithms with and for Large Language Models
Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob Foerster, Mihaela van der Schaar, Robert Tjarko Lange
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Discovering plasticity rules that organize and maintain neural circuits
David Bell, Alison Duffy, Adrienne Fairhall
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Discovery of the Hidden World with Large Language Models
Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
Taewon Park, Hyun-Chul Kim, Minho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Discrete Flow Matching
Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Discrete Modeling via Boundary Conditional Diffusion Processes
Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
Yixin Chen, Ankur Nath, Chunli Peng, Alan Kuhnle
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Disentangled Representation Learning in Non-Markovian Causal Systems
Adam Li, Yushu Pan, Elias Bareinboim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection
Junqiang Huang, Zhaojun Guo, Ge Luo, Zhenxing Qian, Sheng Li, Xinpeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
Jiayu Su, David A. Knowles, Raul Rabadan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Disentangling Linear Quadratic Control with Untrusted ML Predictions
Tongxin Li, Hao Liu, Yisong Yue
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Disentangling and mitigating the impact of task similarity for continual learning
Naoki Hiratani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
Aditi Jha, Diksha Gupta, Carlos D. Brody, Jonathan W. Pillow
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
Yu Zhang, Ruoyu Li, Nengwu Wu, Qing Li, Xinhan Lin, Yang Hu, Tao Li, Yong Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dissecting Query-Key Interaction in Vision Transformers
Xu Pan, Aaron Philip, Ziqian Xie, Odelia Schwartz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dissecting the Failure of Invariant Learning on Graphs
Qixun Wang, Yifei Wang, Yisen Wang, Xianghua Ying
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
Lorenzo Tiberi, Francesca Mignacco, Kazuki Irie, Haim Sompolinsky
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Peter Karkus
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distributed Least Squares in Small Space via Sketching and Bias Reduction
Sachin Garg, Kevin Tan, Michał Dereziński
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distributed-Order Fractional Graph Operating Network
Kai Zhao, Xuhao Li, Qiyu Kang, Feng Ji, Qinxu Ding, Yanan Zhao, Wenfei Liang, Wee Peng Tay
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
Zhiyi Pan, Wei Gao, Shan Liu, Ge Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distribution Learning with Valid Outputs Beyond the Worst-Case
Nick Rittler, Kamalika Chaudhuri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distribution-Aware Data Expansion with Diffusion Models
Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distributional Preference Alignment of LLMs via Optimal Transport
Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan Greenewald, Jiri Navratil, Jarret Ross
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distributional Reinforcement Learning with Regularized Wasserstein Loss
Ke Sun, Yingnan Zhao, Wulong Liu, Bei Jiang, Linglong Kong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distributional Successor Features Enable Zero-Shot Policy Optimization
Chuning Zhu, Xinqi Wang, Tyler Han, Simon Shaolei Du, Abhishek Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation
Clément Dombry, Ahmed Zaoui
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distributionally Robust Performative Prediction
Songkai Xue, Yuekai Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
Miao Lu, Han Zhong, Tong Zhang, Jose Blanchet
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DistrictNet: Decision-aware learning for geographical districting
Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal
Machine Learning
日本大学: 関与なし（対象大学）