ICML

Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels

Min-Kook Suh, Seung-Woo Seo

Comments ICML 2023 camera-ready

MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows

Mingxuan Yi, Zhanxing Zhu, Song Liu

Comments ICML 2023

Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection

Xiaohui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Chuyuan Zhang

Comments 40th Internation Conference on Machine Learning (ICML 2023)

Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change

Chien Cheng Chyou, Hung-Ting Su, Winston H. Hsu

Comments AdvML in ICML 2023 code:https://github.com/CycleBooster/Unsupervised-adversarial-detection-without-extra-model

Private Federated Learning with Dynamic Power Control via Non-Coherent Over-the-Air Computation

Anbang Zhang, Shuaishuai Guo, Shuai Liu

Comments Accepted by ICML

feather -- a Python SDK to share and deploy models

Nihir Vedd, Paul Riga

Comments Accepted to ICML 2023 Workshop AI&HCI. 8 pages, 3 figures and 1 figure

Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data

Tanvir Islam, Peter Washington

Journal ref International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA. 2023

Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference

Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu

Comments Accepted to ICML 2023

AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI

Ayse Gizem Yasar, Andrew Chong, Evan Dong, Thomas Krendl Gilbert, Sarah Hladikova, Roland Maio, Carlos Mougan, Xudong Shen, Shubham Singh, Ana-Andreea Stoica, Savannah Thais, Miri Zilka

Comments ICML'23 Workshop Generative AI + Law (GenLaw)

Competing for Shareable Arms in Multi-Player Multi-Armed Bandits

Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui

Comments ICML 2023

Universal Morphology Control via Contextual Modulation

Zheng Xiong, Jacob Beck, Shimon Whiteson

Comments Accepted by ICML 2023

Matrix Estimation for Individual Fairness

Cindy Y. Zhang, Sarah H. Cen, Devavrat Shah

Comments 23 pages, 3 figures, ICML 2023

Semi-supervised Cooperative Learning for Multiomics Data Fusion

Daisy Yi Ding, Xiaotao Shen, Michael Snyder, Robert Tibshirani

Comments The 2023 ICML Workshop on Machine Learning for Multimodal Healthcare Data. arXiv admin note: text overlap with arXiv:2112.12337

Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation

Yongkang He, Mingjin Chen, Zhijing Yang, Yongyi Lu

Comments Accepted by ICML workshops 2023

Ada-TTA: Towards Adaptive High-Quality Text-to-Talking Avatar Synthesis

Zhenhui Ye, Ziyue Jiang, Yi Ren, Jinglin Liu, Chen Zhang, Xiang Yin, Zejun Ma, Zhou Zhao

Comments Accepted by ICML 2023 Workshop, 6 pages, 3 figures

Short-Term Plasticity Neurons Learning to Learn and Forget

Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis

Comments Accepted at ICML 2022

Journal ref Proceedings of the 39th International Conference on Machine Learning, 162:18704-18722 (2022)

Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information

Seongsik Park, Jeonghee Jo, Jongkil Park, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Inho Kim, Jong-Keuk Park, Kyeong Seok Lee, Gye Weon Hwang, Hyun Jae Jang

Comments ICML-23 Localized Learning Workshop: Decentralized Model Updates via Non-Global Objectives

Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation

Tomas Ortega, Hamid Jafarkhani

Comments Accepted at the 2023 ICML Workshop of Federated Learning and Analytics in Practice

Learning useful representations for shifting tasks and distributions

Jianyu Zhang, Léon Bottou

Comments Published at ICML 2023. Blog post available at https://www.jianyuzhang.com/blog/rich-representation-learning

Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks

Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash

Comments 2nd AdvML Frontiers Workshop at ICML 2023

Variance Control for Distributional Reinforcement Learning

Qi Kuang, Zhoufan Zhu, Liwen Zhang, Fan Zhou

Comments ICML 2023

Interpreting deep embeddings for disease progression clustering

Anna Munoz-Farre, Antonios Poulakakis-Daktylidis, Dilini Mahesha Kothalawala, Andrea Rodriguez-Martinez

Comments Workshop on Interpretable ML in Healthcare at International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA. 2023

Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation

Chris Chinenye Emezue, Alexandre Drouin, Tristan Deleu, Stefan Bauer, Yoshua Bengio

Comments Peer-reviewed and Accepted to ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling

Mixture Proportion Estimation Beyond Irreducibility

Yilun Zhu, Aaron Fjeldsted, Darren Holland, George Landon, Azaree Lintereur, Clayton Scott

Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42962-42982, 2023

On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network

Shijun Zhang, Jianfeng Lu, Hongkai Zhao

Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41452-41487, 2023

Designing Data: Proactive Data Collection and Iteration for Machine Learning

Aspen Hopkins, Fred Hohman, Luca Zappella, Xavier Suau Cuadros, Dominik Moritz

Comments AI + HCI workshop at ICML 2023

Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions

Leo Klarner, Tim G. J. Rudner, Michael Reutlinger, Torsten Schindler, Garrett M. Morris, Charlotte Deane, Yee Whye Teh

Comments Published in the Proceedings of the 40th International Conference on Machine Learning (ICML 2023)

Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation

Yiming Cui, Linjie Yang, Haichao Yu

Comments 12 pages, 4 figures, ICML 2023, code is available at https://github.com/bytedance/DQ-Det

Towards Practicable Sequential Shift Detectors

Oliver Cobb, Arnaud Van Looveren

Comments ICML 2022 Workshop on Principles of Distribution Shift (PODS)

Learnable wavelet neural networks for cosmological inference

Christian Pedersen, Michael Eickenberg, Shirley Ho

Comments Accepted at ICML 2022 Workshop on Machine Learning for Astrophysics, Baltimore, Maryland, USA, 2022