ICLR 2024 Conference Submissions

Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
Kostadin Garov, Dimitar Iliev Dimitrov, Nikola Jovanović, Martin Vechev
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Progressive Pseudo Bag Augmentation with Instance Importance Estimation for Whole Slide Image Classification
Renao Yan, Sun Qiehe, Cheng Jin, Yiqing Liu, Yonghong He, Tian Guan, Hao Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
Moyang Li, Peng Wang, Lingzhe Zhao, Bangyan Liao, Peidong Liu
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Analyzing the Effects of Emulating on the Reinforcement Learning Manifold
Ezgi Korkmaz
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Latent Space Theory for Emergent Abilities in Large Language Models
Hui Jiang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A trainable manifold for accurate approximation with ReLU Networks
Max Milkert, Forrest John Laine
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Federated Learning Under Second-Order Data Heterogeneity
Konstantin Mishchenko, Rui Li, Hongxiang Fan, Stylianos Venieris
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rigid Motion Compensated Compressed Sensing MRI with Untrained Neural Networks
Mohammad Zalbagi Darestani, Stefan Ruschke, Reinhard Heckel
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Supervised Knowledge Makes Large Language Models Better In-context Learners
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
- Published: 16 Jan 2024, Last Modified: 27 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Learning Node Selection via Tripartite Graph Representation in Mixed Integer Linear Programming
Sijia Zhang, Fei Shang, Feng Wu, Shaoang Li, Xiangyang Li
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Contrastive Difference Predictive Coding
Chongyi Zheng, Ruslan Salakhutdinov, Benjamin Eysenbach
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Extrapolating Large Language Models to Non-English by Aligning Languages
Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
PARAMETER OPTIMIZATION FOR EPIDEMIOLOGICAL MODEL WITH GENETIC ALGORITHM
Cloves Alberto Chaves Lima, Patrícia Cabral Tedesco
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
From Fourier to Neural ODEs: Flow matching for modeling complex systems
Xin Li, Jingdong Zhang, Xue Zhang, Qunxi Zhu, Chengli Zhao, Xiaojun Duan, Wei Lin
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
INRet: A General Framework for Accurate Retrieval of INRs for Shapes
Gavin Guan, Yuchen Chen, Haoze Deng, Daniel Kwan, Ruofan Liang, Selvakumar Panneer, Nilesh Jain, Nandita Vijaykumar
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BAFFLE: A Baseline of Backpropagation-Free Federated Learning
Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng YAN, Min Lin
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bayesian Exploration Networks
Mattie Fellows, Brandon Gary Kaplowitz, Christian Schroeder de Witt, Shimon Whiteson
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
MAST: A Sparse Training Framework for Multi-agent Reinforcement Learning
Pihe Hu, Shaolong Li, Longbo Huang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TinyStories: How Small Can Language Models Be and Still Speak Coherent English
Yuanzhi Li, Ronen Eldan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
GraphDeepONet: Learning to simulate time-dependent partial differential equations using graph neural network and deep operator network
Sung Woong Cho, Jae Yong Lee, Hyung Ju Hwang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment
Geyang Guo, Ranchi Zhao, Tianyi Tang, Xin Zhao, Ji-Rong Wen
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Effective Data Augmentation With Diffusion Models
Brandon Trabucco, Kyle Doherty, Max A Gurinas, Ruslan Salakhutdinov
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Theoretical Analysis on the Generalization Power of Overfitted Transfer Learning
Peizhong Ju, Sen Lin, Mark S. Squillante, Yingbin Liang, Ness Shroff
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Out-Of-Domain Unlabeled Data Improves Generalization
seyed amir hossein saberi, Amir Najafi, Alireza Heidari, Mohammad Hosein Movasaghinia, Abolfazl Motahari, Babak Khalaj
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone