ICLR 2024 Conference Submissions

FL-GNN: A Fuzzy-logic Graph Neural Network
Boyu Du, Jingya Zhou, Ling Liu, Xiaolong She
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
Donggyu Lee, Sangwon Jung, Taesup Moon
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye HAO, Bin Li, Feng Wu
- Published: 16 Jan 2024, Last Modified: 25 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Is Training Necessary for Representation Learning
Zheng Li, Jerry Cheng, Huanying Gu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Accelerating Federated Learning with Quick Distributed Mean Estimation
Ran Ben-Basat, shay vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V Chawla, Stan Z. Li
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Close the Gap: Lightweight Image Captioning via Retrieval Augmentation
Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Chain of Images for Intuitively Reasoning
Fanxu Meng, Haotong Yang, Yiding Wang, Muhan Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Continual Memory Neurons
Matteo Tiezzi, Simone Marullo, Federico Becattini, Stefano Melacci
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Feature Map Matters in Out-of-distribution Detection
Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Data Prediction Denoising Models: The Pupil Outdoes the Master
Weijian Luo, Zhihua Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Periodic and Random Sparsity for Multivariate Long-Term Time-Series Forecasting
Jaehoon Lee, Hankook Lee, Sungik Choi, Sungwoo Park, Sungjun Cho, Moontae Lee
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Probabilistically Rewired Message-Passing Neural Networks
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Egor Shulgin, Peter Richtárik
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HGMD: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation
Lirong Wu, Yunfan Liu, Yufei Huang, Haitao Lin, Cheng Tan, Stan Z. Li
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Iterative Search Attribution for Deep Neural Networks
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Jun Shen
- 22 Sept 2023 (modified: 26 Jan 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
BadEdit: Backdooring Large Language Models by Model Editing
Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Efficient Differentiable Approximation of the Generalized Low-rank Regularization
Naiqi Li, Yuqiu Xie, Tao Dai, Jiawei Li, Bin Chen, Yong Jiang, Shu-Tao Xia
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Dilated convolution neural operator for multiscale partial differential equations
Bo Xu, Lei Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Incentivizing Data Collection from Heterogeneous Clients in Federated Learning
Jinlong Pang, Jiaheng Wei, Chen Qian, Yang Liu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Robust Training of Federated Models with Extremely Label Deficiency
Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
An Instance-Level Framework for Multi-tasking Graph Self-Supervised Learning
Lirong Wu, Tianyu Fan, Yufei Huang, Haitao Lin, Zicheng Liu, Stan Z. Li
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone