ICML

Predictive Dynamic Fusion

Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu

Comments Accepted by ICML 2024

Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup

Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge

Comments 37 pages, 2 figures, ICML 2023, minor corrections in latest version

Stein Variational Newton Neural Network Ensembles

Klemens Flöge, Mohammed Abdul Moeed, Vincent Fortuin

Comments ICML 2024 Workshop on Structured Probabilistic Inference & Generative Modeling, 27 pages, 14 figures

Transformer-Based Astronomical Time Series Model with Uncertainty Estimation for Detecting Misclassified Instances

Martina Cádiz-Leyton, Guillermo Cabrera-Vives, Pavlos Protopapas, Daniel Moreno-Cartagena, Cristobal Donoso-Oliva

Comments Accepted for LatinX in AI (LXAI) workshop at the 41 st International Conference on Machine Learning (ICML), Vienna, Austria. PMLR 235, 2024

Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning

Ziqing Fan, Shengchao Hu, Yuhang Zhou, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao

Comments Extension of corresponding ICML edition arXiv:2405.18080. arXiv admin note: substantial text overlap with arXiv:2405.18080

InversionView: A General-Purpose Method for Reading Information from Neural Activations

Xinting Huang, Madhur Panwar, Navin Goyal, Michael Hahn

Comments NeurIPS 2024; ICML 2024 Mechanistic Interpretability Workshop oral

ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization

Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu

Comments Accepted by ICML 2024 as oral paper

Using Deep Neural Networks to Quantify Parking Dwell Time

Marcelo Eduardo Marques Ribas, Heloisa Benedet Mendes, Luiz Eduardo Soares de Oliveira, Luiz Antonio Zanlorensi, Paulo Ricardo Lisboa de Almeida

Comments Paper accepted to the 2024 International Conference on Machine Learning and Applications

Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models

Hengyi Wang, Shiwei Tan, Hao Wang

Comments Proceedings of the 41st International Conference on Machine Learning (ICML 2024)

Journal ref PMLR 235:51502-51522, 2024

Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation

Michelle Pan, Mariah Schrum, Vivek Myers, Erdem Bıyık, Anca Dragan

Comments Proceedings of the 41st International Conference on Machine Learning (ICML 2024)

Journal ref International Conference on Machine Learning 2024

Community search signatures as foundation features for human-centered geospatial modeling

Mimi Sun, Chaitanya Kamath, Mohit Agarwal, Arbaaz Muslim, Hector Yee, David Schottlander, Shailesh Bavadekar, Niv Efron, Shravya Shetty, Gautam Prasad

Comments 8 pages, 8 figures, presented at the DMLR workshop at ICML 2024

Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models

Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks

Comments Accepted as an oral paper (top 5%) at the ICML 2024 Mechanistic Interpretability Workshop and to the NeurIPS 2024 Main Conference

Differentially Private Representation Learning via Image Captioning

Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo

Comments Accepted and presented at ICML 2024

Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models

Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy Hospedales

Comments Accepted at the GenLaw (Generative AI + Law) workshop at ICML'24

Learning and Unlearning of Fabricated Knowledge in Language Models

Chen Sun, Nolan Andrew Miller, Andrey Zhmoginov, Max Vladymyrov, Mark Sandler

Journal ref ICML 2024 Workshop on Mechanistic Interpretability

Audio Classification of Low Feature Spectrograms Utilizing Convolutional Neural Networks

Noel Elias

Journal ref 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Nassau, Bahamas, 2022, pp. 693-698

RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences

Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv, Fei-Yue Wang

Comments Accepted by ICML 2024 (Spotlight, top 3.5%)

MusicFlow: Cascaded Flow Matching for Text Guided Music Generation

K R Prajwal, Bowen Shi, Matthew Lee, Apoorv Vyas, Andros Tjandra, Mahi Luthra, Baishan Guo, Huiyu Wang, Triantafyllos Afouras, David Kant, Wei-Ning Hsu

Comments ICML 2024

Convergence Guarantees for the DeepWalk Embedding on Block Models

Christopher Harker, Aditya Bhaskara

Journal ref Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17636-17656, 2024

Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences

Anushka Narayanan, Karianne J. Bergen

Comments Accepted at AI for Science Workshop-Oral (Attention Track), Proceedings of 41st International Conference on Machine Learning (ICML) 2024

Accelerating Transformer Pre-training with 2:4 Sparsity

Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu

Journal ref Proceedings of the 41st International Conference on Machine Learning (2024), in Proceedings of Machine Learning Research 235:19531-19543

Improving Neural Additive Models with Bayesian Principles

Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Gunnar Rätsch, Vincent Fortuin

Comments 41st International Conference on Machine Learning (ICML 2024)

Temporal Convolution-based Hybrid Model Approach with Representation Learning for Real-Time Acoustic Anomaly Detection

Sahan Dissanayaka, Manjusri Wickramasinghe, Pasindu Marasinghe

Comments 10 pages, 10 figures, ICMLC2024

Journal ref ICMLC'24: Proceedings of the 2024 16th International Conference on Machine Learning and Computing, Pages 218 - 227

Quantum Algorithm for Online Exp-concave Optimization

Jianhao He, Chengchang Liu, Xutong Liu, Lvzhou Li, John C. S. Lui

Comments The 41st International Conference on Machine Learning

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

Constructing artificial life and materials scientists with accelerated AI using Deep AndersoNN

Saleem Abdul Fattah Ahmed Al Dajani, David Keyes

Comments 7 pages, 5 figures, 2 tables, Accepted by ICML ML4LMS https://openreview.net/forum?id=qhwyvhqAvI . International Conference on Machine Learning (ICML). Machine Learning for Life and Material Science (ML4LMS) Workshop, May 2024

Journal ref International Conference on Machine Learning (ICML). Machine Learning for Life and Material Science (ML4LMS) Workshop, May 2024

Explaining Probabilistic Models with Distributional Values

Luca Franceschi, Michele Donini, Cédric Archambeau, Matthias Seeger

Comments ICML 2024 (spotlight paper). Code: https://github.com/amazon-science/explaining-probabilistic-models-with-distributinal-values. v2: updated references

High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling

Yuxuan Yin, Yu Wang, Peng Li

Comments 15 pages

Journal ref ICML 2024 (Spotlight)

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz

Comments To appear in ICML 2022

MD tree: a model-diagnostic tree grown on loss landscape

Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang

Comments ICML 2024, first two authors contributed equally

Journal ref Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61825-61853, 2024

TravelPlanner: A Benchmark for Real-World Planning with Language Agents

Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su

Comments ICML 2024 (Spotlight)