ICML

Scaling Down Deep Learning with MNIST-1D

Sam Greydanus, Dmitry Kobak

Comments 12 pages, 11 figures

Journal ref ICML 2024

Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps

Evgenii Egorov, Ricardo Valperga, Efstratios Gavves

Journal ref Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024

Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments

Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel

Comments Accepted at ICML 2024

Generative Active Learning for Long-tailed Instance Segmentation

Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen

Comments Accepted by ICML 2024

Coresets for Multiple $\ell_p$ Regression

David P. Woodruff, Taisuke Yasuda

Comments ICML 2024

Reweighted Solutions for Weighted Low Rank Approximation

David P. Woodruff, Taisuke Yasuda

Comments ICML 2024

Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning

Depeng Li, Tianqi Wang, Junwei Chen, Wei Dai, Zhigang Zeng

Comments Accepted to ICML 2024

Can a Few Decide for Many? The Metric Distortion of Sortition

Ioannis Caragiannis, Evi Micha, Jannik Peters

Comments Accepted at ICML'24

Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds

Daniel Dodd, Louis Sharrock, Christopher Nemeth

Comments ICML 2024

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

Chen Zhang, Qiang He, Zhou Yuan, Elvis S. Liu, Hong Wang, Jian Zhao, Yang Wang

Comments Accept at ICML 2024

Improving Transformers with Dynamically Composable Multi-Head Attention

Da Xiao, Qingye Meng, Shengping Li, Xingyuan Yuan

Comments Accepted to the 41st International Conference on Machine Learning (ICML'24 oral)

Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates

Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo

Comments ICML 2024. Code at github.com/prolearner/nonsmooth_implicit_diff

Repoformer: Selective Retrieval for Repository-Level Code Completion

Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma

Comments ICML 2024

State-Constrained Zero-Sum Differential Games with One-Sided Information

Mukesh Ghimire, Lei Zhang, Zhe Xu, Yi Ren

Comments Accepted to ICML 2024

Privacy Attacks in Decentralized Learning

Abdellah El Mrini, Edwige Cyffers, Aurélien Bellet

Comments accepted to ICML 2024

Differentially Private Decentralized Learning with Random Walks

Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay

Comments Accepted to ICML 2024

Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion

Comments Accepted at ICML 2024. This camera-ready version adds MT-Bench evaluations, a human study, more thorough analysis of length bias. Code at https://github.com/tml-epfl/long-is-more-for-alignment

Dynamical Survival Analysis with Controlled Latent States

Linus Bleistein, Van-Tuan Nguyen, Adeline Fermanian, Agathe Guilloux

Comments ICML 2024

Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs

Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui

Comments ICML 2024. Project: https://github.com/YangLing0818/RPG-DiffusionMaster

Understanding Heterophily for Graph Neural Networks

Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang

Comments ICML 2024

How Smooth Is Attention?

Valérie Castin, Pierre Ablin, Gabriel Peyré

Comments Accepted at ICML 2024

VideoPoet: A Large Language Model for Zero-Shot Video Generation

Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Josh Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang

Comments To appear at ICML 2024; Project page: http://sites.research.google/videopoet/

Fast Decision Boundary based Out-of-Distribution Detector

Litian Liu, Yao Qin

Comments ICML 2024 main conference paper

Momentum Particle Maximum Likelihood

Jen Ning Lim, Juan Kuntz, Samuel Power, Adam M. Johansen

Comments ICML 2024 camera ready

Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization

Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman

Comments ICML 2024

On Universally Optimal Algorithms for A/B Testing

Po-An Wang, Kaito Ariu, Alexandre Proutiere

Comments Accepted at ICML 2024

Hyperbolic Active Learning for Semantic Segmentation under Domain Shift

Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso

Comments ICML 2024. Project repository: https://github.com/paolomandica/HALO

On the Identifiability of Switching Dynamical Systems

Carles Balsells-Rodas, Yixin Wang, Yingzhen Li

Comments ICML 2024

Differentially Private Densest Subgraph Detection

Dung Nguyen, Anil Vullikanti

Comments Accepted by ICML 2021

Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models

Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu

Comments Accepted by ICML 2024(Oral)