ICML

Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees

Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta

Comments International Conference on Machine Learning (ICML), 2023

Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses

Shiliang Zuo

Comments Accepted at AISTATS 2024, a preliminary version appeared at ICML 2023 AdvML Workshop

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu

Comments Accepted to ICML 2023

Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least

Siddharth Joshi, Baharan Mirzasoleiman

Comments Accepted to ICML 2023, Code: https://github.com/BigML-CS-UCLA/sas-data-efficient-contrastive-learning

TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting

Hyunwook Lee, Chunggi Lee, Hongkyu Lim, Sungahn Ko

Comments 17 pages in total, 8 pages main paper, 3 pages references, and 6 pages appendix. Submitted as conference paper to ICML 2024 and currently under review

A Machine learning and Empirical Bayesian Approach for Predictive Buying in B2B E-commerce

Tuhin Subhra De, Pranjal Singh, Alok Patel

Comments Published at the 8th International Conference on Machine Learning and Soft Computing (ICMLSC 2024), Singapore

LookupFFN: Making Transformers Compute-lite for CPU inference

Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh

Comments ICML 2023

Local Vertex Colouring Graph Neural Networks

Shouheng Li, Dongwoo Kim, Qing Wang

Comments 22 pages, 8 figures

Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19616-19637, 2023

Efficient CNN-LSTM based Parameter Estimation of Levy Driven Stochastic Differential Equations

Shuaiyu Li, Yang Ruan, Changzhou Long, Yuzhong Cheng

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

Scalable Syndrome-based Neural Decoders for Bit-Interleaved Coded Modulations

Gastón De Boni Rovella, Meryem Benammar, Tarik Benaddi, Hugo Meric

Comments 6 pages, 7 figures. To be published in Proc. IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024), Stockholm, Sweden, May 5-8, 2024. ©2024 IEEE

DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization

Feng Hou, Jin Yuan, Ying Yang, Yang Liu, Yang Zhang, Cheng Zhong, Zhongchao Shi, Jianping Fan, Yong Rui, Zhiqiang He

Comments Currently in review for ICML 2024

Theoretical Analysis of the Advantage of Deepening Neural Networks

Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima

Comments 9 pages, 7 figures; accepted in 19th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2020)

Journal ref 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 479-484

A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree

Yury Elkin, Vitaliy Kurlin

Comments Accepted to ICML 2023

Born Again Neural Networks

Tommaso Furlanello, Zachary C. Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar

Comments Published @ICML 2018

Improved Online Learning Algorithms for CTR Prediction in Ad Auctions

Zhe Feng, Christopher Liaw, Zixin Zhou

Comments Appeared in ICML 2023

Retrosynthetic Planning with Dual Value Networks

Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu

Comments Accepted to ICML 2023

On the Expressive Power of Geometric Graph Neural Networks

Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò

Comments ICML 2023

Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15330-15355, 2023

A Three-regime Model of Network Pruning

Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney

Comments ICML 2023

Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42790-42809, 2023

Quantifying Human Priors over Social and Navigation Networks

Gecia Bravo-Hermsdorff

Comments Published on Proceedings of the 40th International Conference on Machine Learning (ICML), PMLR 202:3063-3105, 2023

DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning

Longxiang He, Li Shen, Linrui Zhang, Junbo Tan, Xueqian Wang

Comments 22 pages, 9 figures, 6 tables. Submitted to ICML 2024. arXiv admin note: text overlap with arXiv:1910.13393 by other authors

Stochastic Gradient Succeeds for Bandits

Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvari, Dale Schuurmans

Comments 39 pages; Correction for a previous version published at ICML 2023 conference

Distributed Deep Joint Source-Channel Coding with Decoder-Only Side Information

Selim F. Yilmaz, Ezgi Ozyilkan, Deniz Gunduz, Elza Erkip

Comments To appear in IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) 2024

Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications

Jonas Ney, Patrick Matalla, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn

Comments Accepted and to be presented as demonstrator at the IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) 2024

Efficient data selection employing Semantic Similarity-based Graph Structures for model training

Roxana Petcu, Subhadeep Maji

Comments ICML 2023 Workshop: Sampling and Optimization in Discrete Space

A Study on the Vulnerability of Test Questions against ChatGPT-based Cheating

Shanker Ram, Chen Qian

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

Journal ref 2023 International Conference on Machine Learning and Applications (ICMLA)

A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer

Hongyi Pan, Xin Zhu, Salih Atici, Ahmet Enis Cetin

Comments To be presented at International Conference on Machine Learning (ICML), 2023

Towards true discovery of the differential equations

Alexander Hvatov, Roman Titov

Comments Knowledge and Logical Reasoning in the Era of Data-driven Learning workshop at ICML 2023

Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model

Jean-Rémy Conti, Nathan Noiry, Vincent Despiegel, Stéphane Gentric, Stéphan Clémençon

Comments Accepted to ICML 2022

Journal ref Proceedings of the 39th International Conference on Machine Learning, PMLR 162:4344-4369, 2022

TGRL: An Algorithm for Teacher Guided Reinforcement Learning

Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal

Journal ref ICML 2023

Detecting AutoAttack Perturbations in the Frequency Domain

Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper

Comments accepted at ICML 2021 workshop for robustness