ICML 2024 Conference Submissions

CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series
junxin lu, Shiliang Sun
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
On The Fairness Impacts of Hardware Selection in Machine Learning
Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Repoformer: Selective Retrieval for Repository-Level Code Completion
Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Oral
- Readers: Everyone
Riemannian coordinate descent algorithms on matrix manifolds
Andi Han, Pratik Jawanpuria, Bamdev Mishra
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition
Tong Wei, Zhen Mao, Zi-Hao Zhou, Yuanyu Wan, Min-Ling Zhang
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Human Alignment of Large Language Models through Online Preference Optimisation
Daniele Calandriello, Zhaohan Daniel Guo, Remi Munos, Mark Rowland, Yunhao Tang, Bernardo Avila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness
Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Multi-View Stochastic Block Models
Vincent Cohen-Addad, Tommaso d'Orsi, Silvio Lattanzi, Rajai Nasser
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning
Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Boximator: Generating Rich and Controllable Motions for Video Synthesis
Jiawei Wang, Yuchen Zhang, Jiaxin Zou, Yan Zeng, Guoqiang Wei, Liping Yuan, Hang Li
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
TSLANet: Rethinking Transformers for Time Series Representation Learning
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
Uri Gadot, Kaixin Wang, Navdeep Kumar, Kfir Yehuda Levy, Shie Mannor
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Toward Availability Attacks in 3D Point Clouds
Yifan Zhu, Yibo Miao, Yinpeng Dong, Xiao-Shan Gao
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle
Nadav Hallak, Kfir Yehuda Levy
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Mapping the Multiverse of Latent Representations
Jeremy Wayland, Corinna Coupette, Bastian Rieck
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin, Francesca Crucinio, Anna Korba
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
What is Dataset Distillation Learning?
William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation
Chenfeng Miao, Qingying Zhu, Minchuan Chen, Wei Hu, Zijian Li, Shaojun Wang, Jing Xiao
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence
Sascha Xu, Nils Philipp Walter, Janis Kalofolias, Jilles Vreeken
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Spotlight
- Readers: Everyone
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
Wenhan Yang, Jingdong Gao, Baharan Mirzasoleiman
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
Henrik Schopmans, Pascal Friederich
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
Riccardo De Santi, Federico Arangath Joseph, Noah Liniger, Mirco Mutti, Andreas Krause
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Spike Distance Function as a Learning Objective for Spike Prediction
Kevin Doran, Marvin Seifert, Carola A. M. Yovanovich, Tom Baden
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
Wang Chi Cheung, Lixing Lyu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Spotlight
- Readers: Everyone