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Machine Learning

2024 · 2,610 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 · ICML
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
K R Prajwal, Bowen Shi, Matthew Le, Apoorv Vyas, Andros Tjandra, Mahi Luthra, Baishan Guo, Huiyu Wang, Triantafyllos Afouras, David Kant, Wei-Ning Hsu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
MusicRL: Aligning Music Generation to Human Preferences
Geoffrey Cideron, Sertan Girgin, Mauro Verzetti, Damien Vincent, Matej Kastelic, Zalán Borsos, Brian Mcwilliams, Victor Ungureanu, Olivier Bachem, Olivier Pietquin, Matthieu Geist, Leonard Hussenot, Neil Zeghidour, Andrea Agostinelli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving
Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks
Haiyan Jiang, Giulia De Masi, Huan Xiong, Bin Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
NExT-Chat: An LMM for Chat, Detection and Segmentation
Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
NExT-GPT: Any-to-Any Multimodal LLM
Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
NExT: Teaching Large Language Models to Reason about Code Execution
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Naive Bayes Classifiers over Missing Data: Decision and Poisoning
Song Bian, Xiating Ouyang, Zhiwei Fan, Paraschos Koutris
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning
Joon Suk Huh, Kirthevasan Kandasamy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Nash Learning from Human Feedback
Remi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Zhaohan Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Côme Fiegel, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J Mankowitz, Doina Precup, Bilal Piot
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao
Machine Learning
日本大学: 東京大学
2024 · ICML
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
Sotiris Anagnostidis, Gregor Bachmann, Imanol Schlag, Thomas Hofmann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
Haofan Lu, Christopher Vattheuer, Baharan Mirzasoleiman, Omid Abari
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Near-Linear Time Approximation Algorithms for k-means with Outliers
Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback
Asaf Cassel, Haipeng Luo, Aviv Rosenberg, Dmitry Sotnikov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
Dan Qiao, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Nearest Neighbour Score Estimators for Diffusion Generative Models
Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neighboring Perturbations of Knowledge Editing on Large Language Models
Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Nesting Particle Filters for Experimental Design in Dynamical Systems
Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Network Tight Community Detection
Jiayi Deng, Xiaodong Yang, Jun Yu, Jun Liu, Zhaiming Shen, Danyang Huang, Huimin Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
Arjun Subramonian, Levent Sagun, Yizhou Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model
Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural Collapse in Multi-label Learning with Pick-all-label Loss
Pengyu Li, Xiao Li, Yutong Wang, Qing Qu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning
Chendi Wang, Yuqing Zhu, Weijie J Su, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural Diffusion Models
Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural Jump-Diffusion Temporal Point Processes
Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural NeRF Compression
Tuan Pham, Stephan Mandt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural Networks Learn Statistics of Increasing Complexity
Nora Belrose, Quintin Pope, Lucia Quirke, Alex Troy Mallen, Xiaoli Fern
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural Operators with Localized Integral and Differential Kernels
Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Artur Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks
Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural Tangent Kernels for Axis-Aligned Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama
Machine Learning
日本大学: 総合研究大学院大学
2024 · ICML
Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
Alexander Rudikov, Vladimir Fanaskov, Ekaterina Muravleva, Yuri M. Laevsky, Ivan Oseledets
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neural-Kernel Conditional Mean Embeddings
Eiki Shimizu, Kenji Fukumizu, Dino Sejdinovic
Machine Learning
日本大学: 総合研究大学院大学
2024 · ICML
NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors
Shi-Sheng Huang, Guo Chen, Chen Li Heng, Hua Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neuro-Symbolic Temporal Point Processes
Yang Yang, Chao Yang, Boyang Li, Yinghao Fu, Shuang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
Mohannad Elhamod, Anuj Karpatne
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
Sanjoy Dasgupta, Eduardo Sany Laber
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
Hongcheng Liu, Jindong Tong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
No Dimensional Sampling Coresets for Classification
Meysam Alishahi, Jeff M. Phillips
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
No Double Descent in Principal Component Regression: A High-Dimensional Analysis
Daniel Gedon, Antonio H. Ribeiro, Thomas B. Schön
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
Tanishq Kumar, Kevin Luo, Mark Sellke
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths
Charles Guille-Escuret, Hiroki Naganuma, Kilian Fatras, Ioannis Mitliagkas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
No-Regret Reinforcement Learning in Smooth MDPs
Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
Kwang-Sung Jun, Jungtaek Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
Saber Malekmohammadi, Yaoliang Yu, Yang Cao
Machine Learning
日本大学: 東京科学大学
2024 · ICML
Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Non-Vacuous Generalization Bounds for Large Language Models
Sanae Lotfi, Marc Anton Finzi, Yilun Kuang, Tim G. J. Rudner, Micah Goldblum, Andrew Gordon Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Non-clairvoyant Scheduling with Partial Predictions
Ziyad Benomar, Vianney Perchet
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Non-confusing Generation of Customized Concepts in Diffusion Models
Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Non-convex Stochastic Composite Optimization with Polyak Momentum
Yuan Gao, Anton Rodomanov, Sebastian U Stich
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Non-parametric Online Change Point Detection on Riemannian Manifolds
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Non-stationary Online Convex Optimization with Arbitrary Delays
Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Nonlinear Filtering with Brenier Optimal Transport Maps
Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Nonparametric Teaching of Implicit Neural Representations
Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik Chung Wu, Ngai Wong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Not all distributional shifts are equal: Fine-grained robust conformal inference
Jiahao Ai, Zhimei Ren
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Novel Spectral Algorithms for the Partial Credit Model
Duc Nguyen, Anderson Ye Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
O$n$ Learning Deep O($n$)-Equivariant Hyperspheres
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
ODIN: Disentangled Reward Mitigates Hacking in RLHF
Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
Lin Li, Yifei Wang, Chawin Sitawarin, Michael W. Spratling
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
Ziyang Song, Jinxi Li, Bo Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
Liangliang Shi, Jack Fan, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
Zhiquan Tan, Kaipeng Zheng, Weiran Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Observable Propagation: Uncovering Feature Vectors in Transformers
Jacob Dunefsky, Arman Cohan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
Samir Khan, Martin Saveski, Johan Ugander
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Maria Elisabeth Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin Riedmiller
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
Kai Yan, Alex Schwing, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Offline Multi-Objective Optimization
Ke Xue, Rongxi Tan, Xiaobin Huang, Chao Qian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Offline Training of Language Model Agents with Functions as Learnable Weights
Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Offline Transition Modeling via Contrastive Energy Learning
Ruifeng Chen, Chengxing Jia, Zefang Huang, Tian-Shuo Liu, Xu-Hui Liu, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Convergence of Incremental Gradient for Non-convex Smooth Functions
Anastasia Koloskova, Nikita Doikov, Sebastian U Stich, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Discrete Prompt Optimization for Diffusion Models
Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
Yi Cai, Gerhard Wunder
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Hypothesis Transfer Learning of Functional Linear Models
Haotian Lin, Matthew Reimherr
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Interpolating Experts and Multi-Armed Bandits
Houshuang Chen, Yuchen He, Chihao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Least Square Estimation in Softmax Gating Mixture of Experts
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Mechanistic Knowledge Localization in Text-to-Image Generative Models
Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Multi-Armed Bandit with Impatient Arms
Yuming Shao, Zhixuan Fang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Online Experimentation without Device Identifiers
Shiv Shankar, Ritwik Sinha, Madalina Fiterau
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
Motahareh Sohrabi, Juan Ramirez, Tianyue H. Zhang, Simon Lacoste-Julien, Jose Gallego-Posada
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Positivity Condition for Causal Inference
Inwoo Hwang, Yesong Choe, Yeahoon Kwon, Sanghack Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Prompt-Driven Safeguarding for Large Language Models
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Statistical Learning Theory for Distributional Inputs
Christian Fiedler, Pierre-François Massiani, Friedrich Solowjow, Sebastian Trimpe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
Ari Karchmer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization
Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
On The Fairness Impacts of Hardware Selection in Machine Learning
Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto
Machine Learning
日本大学: 関与なし（対象大学）