NeurIPS

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
Stabilized Proximal-Point Methods for Federated Optimization
Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
Skyler Wu, Fred Lu, Edward Raff, James Holt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks
Zijian Gao, Xingxing Zhang, Kele Xu, Xinjun Mao, Huaimin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
Dan Qiao, Kaiqi Zhang, Esha Singh, Daniel Soudry, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
Jiajun Wang, Morteza Ghahremani, Yitong Li, Björn Ommer, Christian Wachinger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
Hang Zhou, Yehui Tang, Haochen Qin, Yujie Yang, Renren Jin, Deyi Xiong, Kai Han, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
Jianda Chen, Wen Zheng Terence Ng, Zichen Chen, Sinno Jialin Pan, Tianwei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
State Space Models on Temporal Graphs: A First-Principles Study
Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
State-free Reinforcement Learning
Mingyu Chen, Aldo Pacchiano, Xuezhou Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Statistical Efficiency of Distributional Temporal Difference Learning
Yang Peng, Liangyu Zhang, Zhihua Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
Leo Zhou, Joao Basso, Song Mei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Statistical Multicriteria Benchmarking via the GSD-Front
Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
Clémentine Chazal, Anna Korba, Francis Bach
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Statistical-Computational Trade-offs for Density Estimation
Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal, Haike Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stealth edits to large language models
Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Y. Tyukin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
Yi-Chung Chen, Zhi-Kai Huang, Jing-Ren Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stepping Forward on the Last Mile
Chen Feng, Shaojie Zhuo, Xiaopeng Zhang, Ramchalam Kinattinkara Ramakrishnan, Zhaocong Yuan, Andrew Zou Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stepping on the Edge: Curvature Aware Learning Rate Tuners
Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stepwise Alignment for Constrained Language Model Policy Optimization
Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Youhei Akimoto
Machine Learning
日本大学: 筑波大学
2024 · NeurIPS
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
Ian Covert, Chanwoo Kim, Su-In Lee, James Zou, Tatsunori Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Concept Bottleneck Models
Moritz Vandenhirtz, Sonia Laguna, Ričards Marcinkevičs, Julia E. Vogt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements
Jiseok Chae, Chulhee Yun, Donghwan Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
Edward Milsom, Ben Anson, Laurence Aitchison
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Newton Proximal Extragradient Method
Ruichen Jiang, Michał Dereziński, Aryan Mokhtari
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Optimal Control Matching
Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise
Francesco Damiani, Akiyuki Anzai, Jan Drugowitsch, Gregory C. DeAngelis, Rubén Moreno-Bote
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
Xuxing Chen, Abhishek Roy, Yifan Hu, Krishnakumar Balasubramanian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
Qiang Li, Hoi-To Wai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stochastic contextual bandits with graph feedback: from independence number to MAS number
Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stopping Bayesian Optimization with Probabilistic Regret Bounds
James T. Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Strategic Linear Contextual Bandits
Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
Saba Ahmadi, Kunhe Yang, Hanrui Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
Ahmed Ben Yahmed, Clément Calauzènes, Vianney Perchet
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving
Chang Gao, Haiyun Jiang, Deng Cai, Shuming Shi, Wai Lam
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models
Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences
Shangkun Sun, Jiaming Liu, Huaxia Li, Guoqing Liu, Thomas H Li, Wei Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Streaming Bayes GFlowNets
Tiago da Silva, Daniel Augusto de Souza, Diego Mesquita
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Streaming Long Video Understanding with Large Language Models
Rui Qian, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Shuangrui Ding, Dahua Lin, Jiaqi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses
Jia-Nan Li, Quan Tu, Cunli Mao, Zhengtao Yu, Ji-Rong Wen, Rui Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stress-Testing Capability Elicitation With Password-Locked Models
Ryan Greenblatt, Fabien Roger, Dmitrii Krasheninnikov, David Krueger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Structural Inference of Dynamical Systems with Conjoined State Space Models
Aoran Wang, Jun Pang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
Rui Peng, Wangze Xu, Luyang Tang, Liwei Liao, Jianbo Jiao, Ronggang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Structured Learning of Compositional Sequential Interventions
Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
Xiaodan Chen, Xiucheng Li, Xinyang Chen, Zhijun Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
Jingwei Zhao, Gus Xia, Ziyu Wang, Ye Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Structured flexibility in recurrent neural networks via neuromodulation
Julia C. Costacurta, Shaunak Bhandarkar, David Zoltowski, Scott W. Linderman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation
Yuwu Lu, Haoyu Huang, Xue Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Stylus: Automatic Adapter Selection for Diffusion Models
Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning
Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli, Marcello Restelli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
Jiying Zhang, Zijing Liu, Yu Wang, Bin Feng, Yu Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Subsurface Scattering for Gaussian Splatting
Jan-Niklas Dihlmann, Arjun Majumdar, Andreas Engelhardt, Raphael Braun, Hendrik P.A. Lensch
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
David Yunis, Justin Jung, Falcon Z. Dai, Matthew R. Walter
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection
Jingjing Wang, Minhuan Huang, Yuanpin Nie, Xiang Li, Qianjin Du, Wei Kong, Huan Deng, Xiaohui Kuang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Super Consistency of Neural Network Landscapes and Learning Rate Transfer
Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SuperDeepFool: a new fast and accurate minimal adversarial attack
Alireza Abdollahpoorrostam, Mahed Abroshan, Seyed-Mohsen Moosavi-Dezfooli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition
Feng Lu, Xinyao Zhang, Canming Ye, Shuting Dong, Lijun Zhang, Xiangyuan Lan, Chun Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass
Ethan Shen, Alan Fan, Sarah Pratt, Jae Sung Park, Matthew Wallingford, Sham Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Supervised Kernel Thinning
Albert Gong, Kyuseong Choi, Raaz Dwivedi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Yannis Karmim, Marc Lafon, Raphaël Fournier S'niehotta, Nicolas Thome
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
Mikhail Khodak, Lester Mackey, Alexandra Chouldechova, Miroslav Dudík
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling
Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
Jiawei Yao, Chuming Li, Canran Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
Róbert Csordás, Piotr Piękos, Kazuki Irie, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
Qian Chen, Tianjian Zhang, Linxin Yang, Qingyu Han, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Symbolic Regression with a Learned Concept Library
Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, Miles Cranmer, Swarat Chaudhuri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Symmetric Linear Bandits with Hidden Symmetry
Nam Phuong Tran, The Anh Ta, Debmalya Mandal, Long Tran-Thanh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Symmetries in Overparametrized Neural Networks: A Mean Field View
Javier Maass Martínez, Joaquín Fontbona
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Symmetry Discovery Beyond Affine Transformations
Ben Shaw, Abram Magner, Kevin R. Moon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Symmetry-Informed Governing Equation Discovery
Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale
Tianyue Ou, Frank F. Xu, Aman Madaan, Jiarui Liu, Robert Lo, Abishek Sridhar, Sudipta Sengupta, Dan Roth, Graham Neubig, Shuyan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SyncTweedies: A General Generative Framework Based on Synchronized Diffusions
Jaihoon Kim, Juil Koo, Kyeongmin Yeo, Minhyuk Sung
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SyncVIS: Synchronized Video Instance Segmentation
Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image
Yu Zhao, Hao Fei, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang, Jianguo Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
Yeming Wen, Swarat Chaudhuri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi, George Varghese, Joseph E. González, Elizabeth Polgreen, Sanjit A. Seshia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TAIA: Large Language Models are Out-of-Distribution Data Learners
Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
Hyun-Kurl Jang, Jihun Kim, Hyeokjun Kweon, Kuk-Jin Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TAPTRv2: Attention-based Position Update Improves Tracking Any Point
Hongyang Li, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Feng Li, Tianhe Ren, Bohan Li, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models
Zhen Chen, Yi Zhang, Fu Wang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network
Youcheng Zhang, Liwen Zhang, Zijun Hu, Pengcheng Pi, Teng Li, Yuanpei Chen, Shi Peng, Zhe Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TFG: Unified Training-Free Guidance for Diffusion Models
Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Zou, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
Jun Dan, Weiming Liu, Chunfeng Xie, Hua Yu, Shunjie Dong, Yanchao Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene
Sandika Biswas, Qianyi Wu, Biplab Banerjee, Hamid Rezatofighi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
Wei Li, Hehe Fan, Yongkang Wong, Mohan Kankanhalli, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang D. Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning
Hui Chen, Yanbin Liu, Yongqiang Ma, Nanning Zheng, Xin Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TSDS: Data Selection for Task-Specific Model Finetuning
Zifan Liu, Amin Karbasi, Theodoros Rekatsinas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy
Weichao Zhao, Hao Feng, Qi Liu, Jingqun Tang, Shu Wei, Binghong Wu, Lei Liao, Yongjie Ye, Hao Liu, Wengang Zhou, Houqiang Li, Can Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TableRAG: Million-Token Table Understanding with Language Models
Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Tackling Uncertain Correspondences for Multi-Modal Entity Alignment
Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong
Machine Learning
日本大学: 関与なし（対象大学）