ICML

Cognitive Modeling with Scaffolded LLMs: A Case Study of Referential Expression Generation

Polina Tsvilodub, Michael Franke, Fausto Carcassi

Comments 11 pages, 3 figures, 2 algorithms, to appear at the ICML 2024 workshop on Large Language Models and Cognition

LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging

Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song

Comments ICML 2024

Chain-of-Thought Predictive Control

Zhiwei Jia, Vineet Thumuluri, Fangchen Liu, Linghao Chen, Zhiao Huang, Hao Su

Comments ICML 2024; project page at https://sites.google.com/view/cotpc

Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis

Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf

Comments Proceedings of the Forty-first International Conference on Machine Learning (ICML 2024)

Leveraging Topological Guidance for Improved Knowledge Distillation

Eun Som Jeon, Rahul Khurana, Aishani Pathak, Pavan Turaga

Comments ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling

PAPM: A Physics-aware Proxy Model for Process Systems

Pengwei Liu, Zhongkai Hao, Xingyu Ren, Hangjie Yuan, Jiayang Ren, Dong Ni

Comments ICML 2024

DMTG: One-Shot Differentiable Multi-Task Grouping

Yuan Gao, Shuguo Jiang, Moran Li, Jin-Gang Yu, Gui-Song Xia

Comments Accepted to ICML 2024

Journal ref International Conference on Machine Learning (ICML), 2024

Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning

Joon Suk Huh, Kirthevasan Kandasamy

Comments The Forty-first International Conference on Machine Learning (ICML 2024)

Revealing the Utilized Rank of Subspaces of Learning in Neural Networks

Isha Garg, Christian Koguchi, Eshan Verma, Daniel Ulbricht

Comments Presented at Efficient Systems for Foundation Models Workshop at the International Conference on Machine Learning (ICML) 2024

Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking

Weixiang Sun, Yixin Liu, Zhiling Yan, Kaidi Xu, Lichao Sun

Comments Accept by ICML 2024 NextGenAISafety

Open Ad Hoc Teamwork with Cooperative Game Theory

Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski

Comments Published at ICML 2024, 29 pages. Fixed a writing typo in the statement of Theorem 2

Clifford-Steerable Convolutional Neural Networks

Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré

Comments accepted to ICML 2024

Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics

Artur P. Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter

Comments Accepted at the 41st International Conference on Machine Learning (ICML 2024). Project website: https://arturtoshev.github.io/neural-sph-blog/

Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning

Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee

Comments Published at ICML 2024. Code: https://github.com/stanl1y/tdil

CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks

Shashank Agnihotri, Steffen Jung, Margret Keuper

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

Crafting Large Language Models for Enhanced Interpretability

Chung-En Sun, Tuomas Oikarinen, Tsui-Wei Weng

Comments Present at ICML 2024 Mechanistic Interpretability (MI) Workshop

Smart Vision-Language Reasoners

Denisa Roberts, Lucas Roberts

Comments Accepted in ICML 2024 MATH AI Workshop

Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities

Stephen Zhang, Vardan Papyan

Comments Published in Proceedings of the 41st International Conference on Machine Learning

Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation Models

Vorakit Vorakitphan, Milos Basic, Guilhaume Leroy Meline

Comments Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024. Copyright 2024 by the author(s)

Latent Diffusion Model for Generating Ensembles of Climate Simulations

Johannes Meuer, Maximilian Witte, Tobias Sebastian Finn, Claudia Timmreck, Thomas Ludwig, Christopher Kadow

Comments 8 pages, 7 figures, Accepted at the ICML 2024 Machine Learning for Earth System Modeling workshop

How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation

Augustine N. Mavor-Parker, Kimberly A. Young, Caswell Barry, Lewis D. Griffin

Comments ICML 2022 format. Thesis version with cleaned up code

Improving Self Consistency in LLMs through Probabilistic Tokenization

Ashutosh Sathe, Divyanshu Aggarwal, Sunayana Sitaram

Comments ICML 2024 Workshop on LLMs and Cognition

Fisher-aware Quantization for DETR Detectors with Critical-category Objectives

Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang

Comments Poster presentation at the 2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024)

Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning

Mohamed Elsayed, Homayoon Farrahi, Felix Dangel, A. Rupam Mahmood

Comments Published in the Proceedings of the 41st International Conference on Machine Learning (ICML 2024). Code is available at https://github.com/mohmdelsayed/HesScale. arXiv admin note: substantial text overlap with arXiv:2210.11639

Guidance with Spherical Gaussian Constraint for Conditional Diffusion

Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, Ye Shi

Comments Accepted by ICML 2024

Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning

Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma

Comments This paper has been accepted by ICML 2024

Stereo Risk: A Continuous Modeling Approach to Stereo Matching

Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool

Comments Accepted as an Oral Paper at ICML 2024. Draft info: 18 pages, 6 Figure, 16 Tables

SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic

Liulu He, Yufei Zhao, Rui Gao, Yuan Du, Li Du

Comments ICML 2024

Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data

Younghun Lee, Sungchul Kim, Ryan A. Rossi, Tong Yu, Xiang Chen

Comments ICML 2024 Workshop on Long-Context Foundation Models, Vienna, Austria 2024. arXiv admin note: substantial text overlap with arXiv:2402.14195

ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution

Guillaume Couairon, Christian Lessig, Anastase Charantonis, Claire Monteleoni

Comments Accepted at the Machine Learning for Earth System Modeling Workshop at ICML 2024