ICML

Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation

Gauthier Guinet, Behrooz Omidvar-Tehrani, Anoop Deoras, Laurent Callot

Comments Proceedings of the 41st International Conference on Machine Learning (ICML), 29 pages, 12 figures

Switched Flow Matching: Eliminating Singularities via Switching ODEs

Qunxi Zhu, Wei Lin

Comments Accepted in ICML 2024

Online bipartite matching with imperfect advice

Davin Choo, Themis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya

Comments Accepted into ICML 2024

Conformal prediction for multi-dimensional time series by ellipsoidal sets

Chen Xu, Hanyang Jiang, Yao Xie

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

Collaborative Learning with Different Labeling Functions

Yuyang Deng, Mingda Qiao

Comments To appear at ICML 2024; v2 and v3 included additional discussion on related work

Evaluation of Test-Time Adaptation Under Computational Time Constraints

Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem

Comments Accepted to ICML 2024

Variational Linearized Laplace Approximation for Bayesian Deep Learning

Luis A. Ortega, Simón Rodríguez Santana, Daniel Hernández-Lobato

Comments 22 pages, 8 figures, ICML 2024

Journal ref PMLR 235 (2024)

Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning

Dongkwan Kim, Alice Oh

Comments ICML 2024 Camera Ready (22 pages)

How to Trace Latent Generative Model Generated Images without Artificial Watermark?

Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma

Comments ICML 2024

LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions

Victor Agostinelli, Sanghyun Hong, Lizhong Chen

Comments Submitted and accepted at ICML 2024

Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows

Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré

Comments Accepted to ICML 2024

Learning Causal Dynamics Models in Object-Oriented Environments

Zhongwei Yu, Jingqing Ruan, Dengpeng Xing

Comments Accepted by ICML 2024. 42 Pages

S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video

Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja

Comments Accepted by ICML 2024

Bottleneck-Minimal Indexing for Generative Document Retrieval

Xin Du, Lixin Xiu, Kumiko Tanaka-Ishii

Comments Accepted for ICML 2024

What makes an image realistic?

Lucas Theis

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

Criterion Collapse and Loss Distribution Control

Matthew J. Holland

Comments Revised version accepted to ICML 2024

Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints

Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konaković Luković

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

Residual Quantization with Implicit Neural Codebooks

Iris A. M. Huijben, Matthijs Douze, Matthew Muckley, Ruud J. G. van Sloun, Jakob Verbeek

Comments To appear at ICML 2024

Offline Reinforcement Learning with Imbalanced Datasets

Li Jiang, Sijie Cheng, Jielin Qiu, Haoran Xu, Wai Kin Chan, Zhao Ding

Journal ref ICML 2023, workshop on Data-centric Machine Learning Research

Unsupervised Episode Generation for Graph Meta-learning

Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park

Comments 24 pages, 15 figures, 16 Tables; accepted at ICML 2024

Robust Classification via a Single Diffusion Model

Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu

Comments Accepted by ICML 2024

Journal ref ICML 2024

Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices

Nathaniel Cohen, Vladimir Kulikov, Matan Kleiner, Inbar Huberman-Spiegelglas, Tomer Michaeli

Comments ICML 2024. Code and examples are available at https://matankleiner.github.io/slicedit/

Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning

Kai Gan, Tong Wei

Comments Accepted to ICML 2024

Configurable Mirror Descent: Towards a Unification of Decision Making

Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An

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

Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation

Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn

Comments 23 pages, 2 figures, ICML

Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model

Chenyin Gao, Zhiming Zhang, Shu Yang

Comments Accepted for publication in ICML, 2024

Adaptive Stabilization Based on Machine Learning for Column Generation

Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew Eberhard, Guangquan Zhang

Comments Accepted by ICML'24

Trustworthy Actionable Perturbations

Jesse Friedbaum, Sudarshan Adiga, Ravi Tandon

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

Sign Rank Limitations for Inner Product Graph Decoders

Su Hyeong Lee, Qingqi Zhang, Risi Kondor

Comments Accepted by ICML 2024

REMEDI: Corrective Transformations for Improved Neural Entropy Estimation

Viktor Nilsson, Anirban Samaddar, Sandeep Madireddy, Pierre Nyquist

Comments To appear in ICML 2024. 30 pages, 18 figures