ICLR 2024 Conference Submissions

The common Stability Mechanism behind most Self-Supervised Learning Approaches
Abhishek Jha, Matthew B. Blaschko, Yuki M Asano, Tinne Tuytelaars
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Orthogonal Sequential Fusion in Multimodal Learning
Sami Labbaki, Peter Minary
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Unsupervised graph neural networks with recurrent features for solving combinatorial optimization problems
Daria Pugacheva, Yuriy Zotov, Andrei Ermakov, Igor Lyskov
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Dynamic EHR Phenotyping: A Generative Clustering Model
Henrique Aguiar, Mauro Santos, Peter Watkinson, Tingting Zhu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ADELT: Transpilation Between Deep Learning Frameworks
Linyuan Gong, Jiayi Wang, Alvin Cheung
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation
Han-Jia Ye, Qile Zhou, De-Chuan Zhan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MIRAGE: Modelling Interpretable Multivariate Time Series Forecasts with Actionable Ground Explanations
Hussain Jagirdar, Rukma Ameet Talwadker, Aditya Pareek, Pulkit Agrawal, Tridib Mukherjee
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
Xinlu Zhang, Shiyang Li, Xianjun Yang, Chenxin Tian, Yao Qin, Linda Ruth Petzold
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Learning the Latent Noisy Data Generative Process for Label-Noise Learning
Yexiong Lin, Yu Yao, Tongliang Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Jailbreaking Black Box Large Language Models in Twenty Queries
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Data Imputation by Pursuing Better Classification: A Supervised Learning Approach
Ruikai Yang, FAN He, Mingzhen He, Kaijie Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
IG-Net: Image-Goal Network for Offline Visual Navigation on A Large-Scale Game Map
Baiting Zhu, Pushi Zhang, Xin-Qiang Cai, Li Zhao, Masashi Sugiyama, Jiang Bian
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning the Hidden Set Locally
Tomasz Jurdzinski, Dariusz Rafal Kowalski
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
Gabryel Mason-Williams, Fredrik Dahlqvist
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Boosting Multi-Agent Reinforcement Learning via Transition-Informed Representations
Mingxiao Feng, Wengang Zhou, Yaodong Yang, Houqiang Li
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
Yiming Gao, Feiyu Liu, Liang Wang, Dehua Zheng, Zhenjie Lian, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, QIANG FU, Yang Wei, Lanxiao Huang, Wei Liu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
EXPLEME: A Study in Meme Interpretability, Diving Beyond Input Attribution
Dibyanayan Bandyopadhyay, ASMIT GANGULY, Baban Gain, Asif Ekbal
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis
Hubert Siuzdak
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Adversarial Latent Feature Augmentation for Fairness
Hoin Jung, Junyi Chai, Xiaoqian Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Generative Model for Game Theory with Flow Equilibrium
Zhiyu Zhao, David Henry Mguni, Yali Du, Kaiyang Guo, Haifeng Zhang, Jun Wang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
Lijia Zhou, James B Simon, Gal Vardi, Nathan Srebro
- Published: 16 Jan 2024, Last Modified: 09 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Discouraging Posterior Collapse in Hierarchical Variational Autoencoders Using Context
Anna Kuzina, Jakub M. Tomczak
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards Complete Expressiveness Capacity of Mixed Multi-Agent Q Value Function
Lipeng Wan, Xu He, Zeyang Liu, Kai Li, Xingyu Chen, Mengchen Zhao, Dong Li, Bo An, Xuguang Lan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Differentiable Tree Search in Latent State Space
Dixant Mittal, Wee Sun Lee
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Model-based Reinforcement Learning for Parameterized Action Spaces
Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone