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
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
Artin Tajdini, Lalit Jain, Kevin Jamieson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method
Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neglected Hessian component explains mysteries in sharpness regularization
Yann N. Dauphin, Atish Agarwala, Hossein Mobahi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NeoRL: Efficient Exploration for Nonepisodic RL
Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nesterov acceleration despite very noisy gradients
Kanan Gupta, Jonathan W. Siegel, Stephan Wojtowytsch
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics
Junyi Cao, Shanyan Guan, Yanhao Ge, Wei Li, Xiaokang Yang, Chao Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
Yifan Wang, Di Huang, Weicai Ye, Guofeng Zhang, Wanli Ouyang, Tong He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms
Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Hongbin Sun, Cheng Xin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neur2BiLO: Neural Bilevel Optimization
Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
Wenlin Chen, Hong Ge
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
Zhikang Chen, Min Zhang, Sen Cui, Haoxuan Li, Gang Niu, Mingming Gong, Changshui Zhang, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Collapse To Multiple Centers For Imbalanced Data
Hongren Yan, Yuhua Qian, Furong Peng, Jiachen Luo, Zheqing Zhu, Feijiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times
Pei Xiao, Zizhen Zhang, Jinbiao Chen, Jiahai Wang, Zhenzhen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Concept Binder
Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Conditional Probability for Uncertainty Quantification
Vladimir R. Kostic, Karim Lounici, Grégoire Pacreau, Giacomo Turri, Pietro Novelli, Massimiliano Pontil
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Cover Selection for Image Steganography
Karl Chahine, Hyeji Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Embeddings Rank: Aligning 3D latent dynamics with movements
Chenggang Chen, Zhiyu Yang, Xiaoqin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Experts: Mixture of Experts for Implicit Neural Representations
Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Sameera Ramasinghe, Stephen Gould
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Gaffer: Relighting Any Object via Diffusion
Haian Jin, Yuan Li, Fujun Luan, Yuanbo Xiangli, Sai Bi, Kai Zhang, Zexiang Xu, Jin Sun, Noah Snavely
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Isometries: Taming Transformations for Equivariant ML
Thomas W. Mitchel, Michael Taylor, Vincent Sitzmann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Krylov Iteration for Accelerating Linear System Solving
Jian Luo, Jie Wang, Hong Wang, Huanshuo Dong, Zijie Geng, Hanzhu Chen, Yufei Kuang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
István Sárándi, Gerard Pons-Moll
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Model Checking
Mirco Giacobbe, Daniel Kroening, Abhinandan Pal, Michael Tautschnig
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
Nima Dehmamy, Csaba Both, Jeet Mohapatra, Subhro Das, Tommi Jaakkola
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Persistence Dynamics
Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations
Nicholas Gao, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
Seungwoo Yoo, Juil Koo, Kyeongmin Yeo, Minhyuk Sung
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Residual Diffusion Models for Deep Scalable Vision Generation
Zhiyuan Ma, Liangliang Zhao, Biqing Qi, Bowen Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
Wenyuan Zhang, Yu-Shen Liu, Zhizhong Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?
Peter Súkeník, Christoph Lampert, Marco Mondelli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
Georgios Mentzelopoulos, Evangelos Chatzipantazis, Ashwin G. Ramayya, Michelle J. Hedlund, Vivek P. Buch, Kostas Daniilidis, Konrad P. Kording, Flavia Vitale
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
Jason D. Lee, Kazusato Oko, Taiji Suzuki, Denny Wu
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
Navami Kairanda, Marc Habermann, Christian Theobalt, Vladislav Golyanik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation
Yifei Li, Yuchen Sun, Pingchuan Ma, Eftychios Sifakis, Tao Du, Bo Zhu, Wojciech Matusik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
Bernardo Esteves, Miguel Vasco, Francisco S. Melo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
Ruizhi Liu, Zhisheng Zeng, Shizhe Ding, Jingyan Sui, Xingquan Li, Dongbo Bu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neuro-Symbolic Data Generation for Math Reasoning
Zenan Li, Zhi Zhou, Yuan Yao, Yu-Feng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction
Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhenqiang Liu, Zhuang Ma, Zhujin Liang, Jie Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Neuronal Competition Groups with Supervised STDP for Spike-Based Classification
Gaspard Goupy, Pierre Tirilly, Ioan Marius Bilasco
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations
Wenrui Hao, Xinliang Liu, Yahong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nimbus: Secure and Efficient Two-Party Inference for Transformers
Zhengyi Li, Kang Yang, Jin Tan, Wen-jie Lu, Haoqi Wu, Xiao Wang, Yu Yu, Derun Zhao, Yancheng Zheng, Minyi Guo, Jingwen Leng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H.S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Peter Steiner, Xiaohua Zhai, Ibrahim Alabdulmohsin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
Maximilian Nickel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation
Per Kristian Lehre, Shishen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
Qi Pang, Shengyuan Hu, Wenting Zheng, Virginia Smith
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
Alex Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob Foerster
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
Skander Moalla, Andrea Miele, Daniil Pyatko, Razvan Pascanu, Caglar Gulcehre
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No-Regret Bandit Exploration based on Soft Tree Ensemble Model
Shogo Iwazaki, Shinya Suzumura
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
Taihei Oki, Shinsaku Sakaue
Machine Learning
日本大学: 北海道大学 / 東京大学
2024 · NeurIPS
No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
Davide Legacci, Panayotis Mertikopoulos, Christos Papadimitriou, Georgios Piliouras, Bary Pradelski
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
Tianyi Zhang, Jonah Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Noether's Razor: Learning Conserved Quantities
Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de Haan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Noise Contrastive Alignment of Language Models with Explicit Rewards
Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Noise-Aware Differentially Private Regression via Meta-Learning
Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
NoiseGPT: Label Noise Detection and Rectification through Probability Curvature
Haoyu Wang, Zhuo Huang, Zhiwei Lin, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation
Du Chen, Geoffrey A. Chua
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom
Tri Nguyen, Shahana Ibrahim, Xiao Fu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Non-Euclidean Mixture Model for Social Network Embedding
Roshni G. Iyer, Yewen Wang, Wei Wang, Yizhou Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
Alexandre Galashov, Michalis K. Titsias, András György, Clare Lyle, Razvan Pascanu, Yee Whye Teh, Maneesh Sahani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Sobihan Surendran, Adeline Fermanian, Antoine Godichon-Baggioni, Sylvain Le Corff
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
Zhan Yu, Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Xin Wang, Jerry Zhijian Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Non-asymptotic Convergence of Training Transformers for Next-token Prediction
Ruiquan Huang, Yingbin Liang, Jing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
Qiujiang Jin, Ruichen Jiang, Aryan Mokhtari
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Non-convolutional graph neural networks.
Yuanqing Wang, Kyunghyun Cho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Non-geodesically-convex optimization in the Wasserstein space
Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Non-parametric classification via expand-and-sparsify representation
Kaushik Sinha
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
Jiaojiao Zhang, Jiang Hu, Anthony Man-Cho So, Mikael Johansson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nonlinear dynamics of localization in neural receptive fields
Leon Lufkin, Andrew Saxe, Erin Grant
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
Yue Yu, Ning Liu, Fei Lu, Tian Gao, Siavash Jafarzadeh, Stewart Silling
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks
Zixuan Zhang, Kaiqi Zhang, Minshuo Chen, Yuma Takeda, Mengdi Wang, Tuo Zhao, Yu-Xiang Wang
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Nonparametric Evaluation of Noisy ICA Solutions
Syamantak Kumar, Purnamrita Sarkar, Peter Bickel, Derek Bean
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
Yuri R. Fonseca, Caio F. L. Peixoto, Yuri F. Saporito
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nonstationary Sparse Spectral Permanental Process
Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering
Meng Wei, Qianyi Wu, Jianmin Zheng, Hamid Rezatofighi, Jianfei Cai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
Gavia Gray, Aman Tiwari, Shane Bergsma, Joel Hestness
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Normalization and effective learning rates in reinforcement learning
Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Not All Tokens Are What You Need for Pretraining
Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Yanyi Zhang, Binglin Qiu, Qi Jia, Yu Liu, Ran He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Not so griddy: Internal representations of RNNs path integrating more than one agent
William T. Redman, Francisco Acosta, Santiago Acosta-Mendoza, Nina Miolane
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Novel Object Synthesis via Adaptive Text-Image Harmony
Zeren Xiong, Zedong Zhang, Zikun Chen, Shuo Chen, Xiang Li, Gan Sun, Jian Yang, Jun Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Nuclear Norm Regularization for Deep Learning
Christopher Scarvelis, Justin Solomon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
Jingyuan Zhu, Shiyu Li, Yuxuan Liu, Jian Yuan, Ping Huang, Jiulong Shan, Huimin Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings
Suyoung Lee, Jaeyoung Chung, Jaeyoo Huh, Kyoung Mu Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
Tao Zhang, Xiangtai Li, Hao Fei, Haobo Yuan, Shengqiong Wu, Shunping Ji, Chen Change Loy, Shuicheng Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OPEL: Optimal Transport Guided ProcedurE Learning
Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy
Machine Learning
日本大学: 関与なし（対象大学）