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2022–2026 LIVE

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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
Generating compositional scenes via Text-to-image RGBA Instance Generation
Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Generative Adversarial Model-Based Optimization via Source Critic Regularization
Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob Gardner, James C. Gee, Osbert Bastani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Generative Forests
Richard Nock, Mathieu Guillame-Bert
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Generative Fractional Diffusion Models
Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, Wojciech Samek
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Generative Hierarchical Materials Search
Sherry Yang, Simon Batzner, Ruiqi Gao, Muratahan Aykol, Alexander Gaunt, Brendan McMorrow, Danilo Rezende, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Generative Modeling of Molecular Dynamics Trajectories
Bowen Jing, Hannes Stärk, Tommi Jaakkola, Bonnie Berger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Generative Modelling of Structurally Constrained Graphs
Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Generative Retrieval Meets Multi-Graded Relevance
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Generative Semi-supervised Graph Anomaly Detection
Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation
Chubin Zhang, Hongliang Song, Yi Wei, Yu Chen, Jiwen Lu, Yansong Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields
Weiyi Xue, Zehan Zheng, Fan Lu, Haiyun Wei, Guang Chen, Changjun Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Geodesic Optimization for Predictive Shift Adaptation on EEG data
Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Geometric Analysis of Nonlinear Manifold Clustering
Nimita Shinde, Tianjiao Ding, Daniel P. Robinson, René Vidal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Geometric Exploitation for Indoor Panoramic Semantic Segmentation
Duc Cao Dinh, Seok Joon Kim, Kyusung Cho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Geometric Trajectory Diffusion Models
Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Geometric-Averaged Preference Optimization for Soft Preference Labels
Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka Matsuo, Aleksandra Faust, Heiga Zen, Izzeddin Gur
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Geometry of naturalistic object representations in recurrent neural network models of working memory
Xiaoxuan Lei, Takuya Ito, Pouya Bashivan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Geometry-aware training of factorized layers in tensor Tucker format
Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Yanjiang Chen, Liheng Yu, Xu Wang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
Daniel Kunin, Allan Raventós, Clémentine Dominé, Feng Chen, David Klindt, Andrew Saxe, Surya Ganguli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo Garcia, Mingyi Hong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gliding over the Pareto Front with Uniform Designs
Xiaoyuan Zhang, Genghui Li, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Global Convergence in Training Large-Scale Transformers
Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi Wang, Han Liu, Jason M. Klusowski, Jianqing Fan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems
Francisco Acosta, Fatih Dinc, William T. Redman, Manu Madhav, David Klindt, Nina Miolane
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers
Alberto Alfarano, François Charton, Amaury Hayat
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Global Rewards in Restless Multi-Armed Bandits
Naveen Raman, Zheyuan Ryan Shi, Fei Fang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Globally Convergent Variational Inference
Declan McNamara, Jackson Loper, Jeffrey Regier
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
Xixi Jia, Fangchen Feng, Deyu Meng, Defeng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching
Haibin He, Maoyuan Ye, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning
Jiarui Wu, Yujin Wang, Lingen Li, Fan Zhang, Tianfan Xue
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning
Huzi Cheng, Joshua W. Brown
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Goal-Conditioned On-Policy Reinforcement Learning
Xudong Gong, Dawei Feng, Kele Xu, Bo Ding, Huaimin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Going Beyond Heuristics by Imposing Policy Improvement as a Constraint
Chi-Chang Lee, Zhang-Wei Hong, Pulkit Agrawal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gorilla: Large Language Model Connected with Massive APIs
Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gradient Guidance for Diffusion Models: An Optimization Perspective
Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
Guanyu Nie, Vaneet Aggarwal, Christopher John Quinn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gradient Rewiring for Editable Graph Neural Network Training
Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gradient-Variation Online Learning under Generalized Smoothness
Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
Patrick Pynadath, Riddhiman Bhattacharya, Arun Hariharan, Ruqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gradient-free Decoder Inversion in Latent Diffusion Models
Seongmin Hong, Suh Yoon Jeon, Kyeonghyun Lee, Ernest K. Ryu, Se Young Chun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gradients of Functions of Large Matrices
Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
Amirhossein Saberi, Amir Najafi, Amin Behjati, Ala Emrani, Yasaman Zolfit, Mahdi Shadrooy, Abolfazl Motahari, Babak H. Khalaj
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Grammar-Aligned Decoding
Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick, Nadia Polikarpova, Loris D'Antoni
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Classification via Reference Distribution Learning: Theory and Practice
Zixiao Wang, Jicong Fan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Coarsening with Message-Passing Guarantees
Antonin Joly, Nicolas Keriven
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Convolutions Enrich the Self-Attention in Transformers!
Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Diffusion Policy Optimization
Yijing Liu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Wei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Diffusion Transformers for Multi-Conditional Molecular Generation
Gang Liu, Jiaxin Xu, Tengfei Luo, Meng Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Edit Distance with General Costs Using Neural Set Divergence
Eeshaan Jain, Indradyumna Roy, Saswat Meher, Soumen Chakrabarti, Abir De
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Learning for Numeric Planning
Dillon Z. Chen, Sylvie Thiébaux
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
Giangiacomo Mercatali, Andre Freitas, Jie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Neural Networks Do Not Always Oversmooth
Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Neural Networks Need Cluster-Normalize-Activate Modules
Arseny Skryagin, Felix Divo, Mohammad Amin Ali, Devendra Singh Dhami, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Neural Networks and Arithmetic Circuits
Timon Barlag, Vivian Holzapfel, Laura Strieker, Jonni Virtema, Heribert Vollmer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention
Philipp Froehlich, Heinz Koeppl
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph neural networks and non-commuting operators
Mauricio Velasco, Kaiying O'Hare, Bernardo Rychtenberg, Soledad Villar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph-based Uncertainty Metrics for Long-form Language Model Generations
Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri, Salim Roukos, Tatsunori Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
Baao Xie, Qiuyu Chen, Yunnan Wang, Zequn Zhang, Xin Jin, Wenjun Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan, Ruyi Ding, Jiaxing He, Aidong Adam Ding, Yunsi Fei, Xiaolin Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
Zhao Zhang, Ziwei Zhao, Dong Wang, Liwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules
Burouj Armgaan, Manthan Dalmia, Sourav Medya, Sayan Ranu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Graphcode: Learning from multiparameter persistent homology using graph neural networks
Michael Kerber, Florian Russold
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Grasp as You Say: Language-guided Dexterous Grasp Generation
Yi-Lin Wei, Jian-Jian Jiang, Chengyi Xing, Xian-Tuo Tan, Xiao-Ming Wu, Hao Li, Mark Cutkosky, Wei-Shi Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Great Minds Think Alike: The Universal Convergence Trend of Input Salience
Yipei Wang, Jeffrey Mark Siskind, Xiaoqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting
Jiawei Xu, Zexin Fan, Jian Yang, Jin Xie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization
Boshi Wang, Xiang Yue, Yu Su, Huan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation
Phillip Y. Lee, Taehoon Yoon, Minhyuk Sung
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
Zeyang Liu, Xinrui Yang, Shiguang Sun, Long Qian, Lipeng Wan, Xingyu Chen, Xuguang Lan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Grounding Multimodal Large Language Models in Actions
Andrew Szot, Bogdan Mazoure, Harsh Agrawal, Devon Hjelm, Zsolt Kira, Alexander Toshev
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Group Robust Preference Optimization in Reward-free RLHF
Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou Ammar, Ilija Bogunovic
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Group and Shuffle: Efficient Structured Orthogonal Parametrization
Mikhail Gorbunov, Nikolay Yudin, Vera Soboleva, Aibek Alanov, Alexey Naumov, Maxim Rakhuba
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Group-wise oracle-efficient algorithms for online multi-group learning
Samuel Deng, Daniel Hsu, Jingwen Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
Yijun Yang, Ruiyuan Gao, Xiao Yang, Jianyuan Zhong, Qiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame
Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Guiding a Diffusion Model with a Bad Version of Itself
Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HAWK: Learning to Understand Open-World Video Anomalies
Jiaqi Tang, Hao Lu, Ruizheng Wu, Xiaogang Xu, Ke Ma, Cheng Fang, Bin Guo, Jiangbo Lu, Qifeng Chen, Ying-Cong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan Yuille
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model
Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning
Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HGDL: Heterogeneous Graph Label Distribution Learning
Yufei Jin, Heng Lian, Yi He, Xingquan Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems
Hao Xu, Jia Pan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction
Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness
Zihui Xue, Mi Luo, Changan Chen, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods
Barakeel Fanseu Kamhoua, Huamin Qu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
Binghui Xie, Yixuan Wang, Yongqiang Chen, Kaiwen Zhou, Yu Li, Wei Meng, James Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
Momin Ahmad Khan, Yasra Chandio, Fatima Muhammad Anwar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
Yu Zeng, Yang Zhang, Jiachen Liu, Linlin Shen, Kaijun Deng, Weizhao He, Jinbao Wang
Machine Learning
日本大学: 関与なし（対象大学）