ICML

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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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
Criterion Collapse and Loss Distribution Control
Matthew J. Holland
Machine Learning
日本大学: 大阪大学
2024 · ICML
Critical feature learning in deep neural networks
Kirsten Fischer, Javed Lindner, David Dahmen, Zohar Ringel, Michael Krämer, Moritz Helias
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Critical windows: non-asymptotic theory for feature emergence in diffusion models
Marvin Li, Sitan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Jiafei Lyu, Chenjia Bai, Jing-Wen Yang, Zongqing Lu, Xiu Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Cross-domain Open-world Discovery
Shuo Wen, Maria Brbic
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Cross-view Masked Diffusion Transformers for Person Image Synthesis
Trung X. Pham, Kang Zhang, Chang D. Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
Dachuan Shi, Chaofan Tao, Anyi Rao, Zhendong Yang, Chun Yuan, Jiaqi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
CuTS: Customizable Tabular Synthetic Data Generation
Mark Vero, Mislav Balunovic, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
CurBench: Curriculum Learning Benchmark
Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
D-Flow: Differentiating through Flows for Controlled Generation
Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DAG-Based Column Generation for Adversarial Team Games
Youzhi Zhang, Bo An, Daniel Dajun Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DE-COP: Detecting Copyrighted Content in Language Models Training Data
André Vicente Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DFD: Distilling the Feature Disparity Differently for Detectors
Kang Liu, Yingyi Zhang, Jingyun Zhang, Jinmin Li, Jun Wang, Shaoming Wang, Chun Yuan, Rizen Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation
Chenfeng Miao, Qingying Zhu, Minchuan Chen, Wei Hu, Zijian Li, Shaojun Wang, Jing Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J Getzen, Qi Long, Mayur Naik, Ravi B Parikh, Eric Wong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DITTO: Diffusion Inference-Time T-Optimization for Music Generation
Zachary Novack, Julian Mcauley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DMTG: One-Shot Differentiable Multi-Task Grouping
Yuan Gao, Shuguo Jiang, Moran Li, Jin-Gang Yu, Gui-Song Xia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
Qinshuo Liu, Zixin Wang, Xi’An Li, Xinyao Ji, Lei Zhang, Lin Liu, Zhonghua Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DNCs Require More Planning Steps
Yara Shamshoum, Nitzan Hodos, Yuval Sieradzki, Assaf Schuster
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DOGE: Domain Reweighting with Generalization Estimation
Simin Fan, Matteo Pagliardini, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
Zhi Zheng, Shunyu Yao, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan, Ke Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
Baoying Chen, Jishen Zeng, Jianquan Yang, Rui Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
Yongchao Feng, Shiwei Li, Yingjie Gao, Ziyue Huang, Yanan Zhang, Qingjie Liu, Yunhong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
Zhaoru Ke, Hang Yu, Jianguo Li, Haipeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Data Engineering for Scaling Language Models to 128K Context
Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Data Poisoning Attacks against Conformal Prediction
Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, Mengdi Huai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger, Sammy Jerome, Vahab Mirrokni, David Saulpic, David Woodruff, Michael Wunder
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Data-efficient Large Vision Models through Sequential Autoregression
Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Data-free Distillation of Diffusion Models with Bootstrapping
Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Data-free Neural Representation Compression with Riemannian Neural Dynamics
Zhengqi Pei, Anran Zhang, Shuhui Wang, Xiangyang Ji, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DataFreeShield: Defending Adversarial Attacks without Training Data
Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Dealing With Unbounded Gradients in Stochastic Saddle-point Optimization
Gergely Neu, Nneka Okolo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Debating with More Persuasive LLMs Leads to More Truthful Answers
Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan, Ansh Radhakrishnan, Edward Grefenstette, Samuel R. Bowman, Tim Rocktäschel, Ethan Perez
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Debiased Distribution Compression
Lingxiao Li, Raaz Dwivedi, Lester Mackey
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers
Yuxing Liu, Lesi Chen, Luo Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Decoding-time Realignment of Language Models
Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Decomposable Submodular Maximization in Federated Setting
Akbar Rafiey
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Decomposing and Editing Predictions by Modeling Model Computation
Harshay Shah, Andrew Ilyas, Aleksander Madry
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deconstructing the Goldilocks Zone of Neural Network Initialization
Artem M Vysogorets, Anna Dawid, Julia Kempe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Mikkel Jordahn, Pablo M. Olmos
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Decoupling Learning and Decision-Making: Breaking the $\mathcalO(\sqrtT)$ Barrier in Online Resource Allocation with First-Order Methods
Wenzhi Gao, Chunlin Sun, Chenyu Xue, Yinyu Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration
Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Xu-Hui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C Qiu, Zhenyu Liao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization
Yirui Liu, Xinghao Qiao, Yulong Pei, Liying Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deep Fusion: Efficient Network Training via Pre-trained Initializations
Hanna Mazzawi, Javier Gonzalvo, Michael Wunder, Sammy Jerome, Benoit Dherin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deep Networks Always Grok and Here is Why
Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deep Neural Room Acoustics Primitive
Yuhang He, Anoop Cherian, Gordon Wichern, Andrew Markham
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deep Regression Representation Learning with Topology
Shihao Zhang, Kenji Kawaguchi, Angela Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deep Stochastic Mechanics
Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
S Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
Yahong Yang, Juncai He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization
Xingyi Zhao, Depeng Xu, Shuhan Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Defense against Model Extraction Attack by Bayesian Active Watermarking
Zhenyi Wang, Yihan Wu, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Defining Neural Network Architecture through Polytope Structures of Datasets
Sangmin Lee, Abbas Mammadov, Jong Chul Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration
Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Delaunay Graph: Addressing Over-Squashing and Over-Smoothing Using Delaunay Triangulation
Hugo Attali, Davide Buscaldi, Nathalie Pernelle
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Deletion-Anticipative Data Selection with a Limited Budget
Rachael Hwee Ling Sim, Jue Fan, Xiao Tian, Patrick Jaillet, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Delving into Differentially Private Transformer
Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Delving into the Convergence of Generalized Smooth Minimax Optimization
Wenhan Xian, Ziyi Chen, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Demystifying SGD with Doubly Stochastic Gradients
Kyurae Kim, Joohwan Ko, Yian Ma, Jacob R. Gardner
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Denoising Autoregressive Representation Learning
Yazhe Li, Jorg Bornschein, Ting Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Dense Reward for Free in Reinforcement Learning from Human Feedback
Alex James Chan, Hao Sun, Samuel Holt, Mihaela Van Der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Density Ratio Estimation with Doubly Strong Robustness
Ryosuke Nagumo, Hironori Fujisawa
Machine Learning
日本大学: 総合研究大学院大学
2024 · ICML
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
Ha Manh Bui, Anqi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Designing Decision Support Systems using Counterfactual Prediction Sets
Eleni Straitouri, Manuel Gomez Rodriguez
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DetKDS: Knowledge Distillation Search for Object Detectors
Lujun Li, Yufan Bao, Peijie Dong, Chuanguang Yang, Anggeng Li, Wenhan Luo, Qifeng Liu, Wei Xue, Yike Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
Zhongze Wu, Hongyan Xu, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Detecting Influence Structures in Multi-Agent Reinforcement Learning
Fabian Raoul Pieroth, Katherine Fitch, Lenz Belzner
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Detecting and Identifying Selection Structure in Sequential Data
Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DiJiang: Efficient Large Language Models through Compact Kernelization
Hanting Chen, Liu Zhicheng, Xutao Wang, Yuchuan Tian, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models
Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, Nanyun Peng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
Jin Wang, Shichao Dong, Yapeng Zhu, Kelu Yao, Weidong Zhao, Chao Li, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DiffDA: a Diffusion model for weather-scale Data Assimilation
Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter Dominik Dueben, Torsten Hoefler
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DiffFPR: Diffusion Prior for Oversampled Fourier Phase Retrieval
Ji Li, Chao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Differentiability and Optimization of Multiparameter Persistent Homology
Luis Scoccola, Siddharth Setlur, David Loiseaux, Mathieu Carrière, Steve Oudot
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
Johannes Zenn, Robert Bamler
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Differentiable Combinatorial Scheduling at Scale
Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Differentiable Distributionally Robust Optimization Layers
Xutao Ma, Chao Ning, Wenli Du
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Differentiable Mapper for Topological Optimization of Data Representation
Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Differentiable Model Scaling using Differentiable Topk
Kai Liu, Ruohui Wang, Jianfei Gao, Kai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Differentiable Weightless Neural Networks
Alan Tendler Leibel Bacellar, Zachary Susskind, Mauricio Breternitz Jr, Eugene John, Lizy Kurian John, Priscila Machado Vieira Lima, Felipe M.G. França
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Differentially Private Bias-Term Fine-tuning of Foundation Models
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICML
Differentially Private Decentralized Learning with Random Walks
Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay
Machine Learning
日本大学: 関与なし（対象大学）