ICML

Discovering Bias in Latent Space: An Unsupervised Debiasing Approach

Dyah Adila, Shuai Zhang, Boran Han, Yuyang Wang

Journal ref ICML 2024

Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems

Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian

Comments Accepted by International Conference on Machine Learning (ICML 2024)

Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers

Brian K Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi

Comments Accepted to ICML 2024

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming

Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun

Comments Accepted by ICML 2024

Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation

Yunheng Li, ZhongYu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng

Comments Accepted by ICML 2024

Iterative Feature Boosting for Explainable Speech Emotion Recognition

Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian Mishara

Comments Published in: 2023 International Conference on Machine Learning and Applications (ICMLA)

Journal ref 2023 International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA, 2023, pp. 543-549

Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm

Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di

Comments Published as a conference paper at ICML 2024

RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation

Zelei Cheng, Xian Wu, Jiahao Yu, Sabrina Yang, Gang Wang, Xinyu Xing

Comments Accepted by ICML 2024

How Private are DP-SGD Implementations?

Lynn Chua, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang

Comments Proceedings of ICML 2024

On the Last-Iterate Convergence of Shuffling Gradient Methods

Zijian Liu, Zhengyuan Zhou

Comments ICML 2024

Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos

Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker

Comments ICML 2024 Camera-Ready. Project Page and Code: https://tarun005.github.io/lagtran/

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

Comments ICML 2024; Code to reproduce our experiments is available at https://github.com/kuleshov-group/caduceus

Variational Learning is Effective for Large Deep Networks

Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff

Comments Published at International Conference on Machine Learning (ICML), 2024. The first two authors contributed equally. Code is available here: https://github.com/team-approx-bayes/ivon

Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms

Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli

Comments International Conference on Machine Learning 41 (ICML 2024)

Position: Categorical Deep Learning is an Algebraic Theory of All Architectures

Bruno Gavranović, Paul Lessard, Andrew Dudzik, Tamara von Glehn, João G. M. Araújo, Petar Veličković

Comments To appear in ICML 2024. Comments welcome. More info at categoricaldeeplearning.com

A Fast Algorithm to Simulate Nonlinear Resistive Networks

Benjamin Scellier

Comments ICML 2024

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control

Ruijie Zheng, Ching-An Cheng, Hal Daumé, Furong Huang, Andrey Kolobov

Comments Accepted at the Forty-first International Conference on Machine Learning (ICML 2024)

Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi Jaakkola

Comments 60 pages, 11 figures, 6 tables; ICML 2024

Data-efficient Large Vision Models through Sequential Autoregression

Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu

Comments 15 pages

Journal ref ICML 2024

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems

Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez

Comments ICML 2024; Code to reproduce our experiments is available at https://github.com/google-research/swirl-dynamics/tree/main/swirl_dynamics/projects/ergodic

See More Details: Efficient Image Super-Resolution by Experts Mining

Eduard Zamfir, Zongwei Wu, Nancy Mehta, Yulun Zhang, Radu Timofte

Comments Accepted at ICML 2024

Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays

Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang

Comments ICML 2024

Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks

Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester

Comments International Conference on Machine Learning, Vienna, Austria, July 21 -- 17, 2024

Proactive Detection of Voice Cloning with Localized Watermarking

Robin San Roman, Pierre Fernandez, Alexandre Défossez, Teddy Furon, Tuan Tran, Hady Elsahar

Comments Published at ICML 2024. Code at https://github.com/facebookresearch/audioseal - webpage at https://pierrefdz.github.io/publications/audioseal/

ReGAL: Refactoring Programs to Discover Generalizable Abstractions

Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal

Comments ICML 2024 Camera-Ready; First two authors contributed equally; Code: https://github.com/esteng/regal_program_learning

Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model

Hien Dang, Tho Tran, Tan Nguyen, Nhat Ho

Comments 2024 International Conference on Machine Learning

Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems

David T. Hoffmann, Simon Schrodi, Jelena Bratulić, Nadine Behrmann, Volker Fischer, Thomas Brox

Comments Accepted at ICML 2024

DPZero: Private Fine-Tuning of Language Models without Backpropagation

Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He

Comments ICML 2024

In-Context Unlearning: Language Models as Few Shot Unlearners

Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju

Comments Accepted at ICML 2024

Conformal Prediction for Deep Classifier via Label Ranking

Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei

Comments Accepted by ICML 2024