ICLR 2024 Conference Submissions

FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
Kyungeun Lee, Ye Seul Sim, Hyeseung Cho, Suhee Yoon, Sanghyu Yoon, Woohyung Lim
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Divide-and-Conquer Time Series Forecasting with Auto-Frequency-Correlation via Cross-Channel Attention
Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Unified Framework for Reinforcement Learning under Policy and Dynamic Shifts
Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Dr. Zhang, Huazhe Xu, Xianyuan Zhan
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
Tim Franzmeyer, Stephen Marcus McAleer, Joao F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schroeder de Witt
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
A Fault Forecasting Approach Using Two-Dimensional Optimization (TDO)
mohsen Tajgardan, Reza Khoshkangini, Mahdi Rabbani
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Select to Perfect: Imitating desired behavior from large multi-agent data
Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Nicolaus Foerster, Joao F. Henriques
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Optimization over Sparse Restricted Convex Sets via Two Steps Projection
William de Vazelhes, Xiaotong Yuan, Bin Gu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PointMLLM: Aligning multi-modality with LLM for point cloud understanding, generation and editing
Dingning Liu, Xiaoshui Huang, Zhihui Wang, Zhenfei Yin, Peng Gao, Yujiao Wu, Yuenan Hou, Xinzhu Ma, Wanli Ouyang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Stealthy Targeted Backdoor Attack Against Image Captioning
Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Xiao Zhang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Why are Modern GANs Poor Density Models?
Roy Friedman, Yair Weiss
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
Cheeun Hong, Kyoung Mu Lee
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
Sangyu Han, Yearim Kim, Nojun Kwak
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Exploring Diffusion Time-steps for Unsupervised Representation Learning
Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Entropy Voting Between Capsules
Miika Kolu, Peer Stelldinger, Hashem Haghbayan, Juha Plosila
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SweetDreamer: Aligning Geometric Priors in 2D diffusion for Consistent Text-to-3D
Weiyu Li, Rui Chen, Xuelin Chen, Ping Tan
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition
Yurong Zhang, Honghao Chen, Xinyu Zhang, Xiangxiang Chu, Kaiqi Huang, Li Song
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints
Kazumi Kasaura
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How many samples are needed to train a deep-ReLU neural network?
Pegah Golestaneh, Mahsa Taheri, Johannes Lederer
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Hypergraph Dynamic System
Jielong Yan, Yifan Feng, Shihui Ying, Yue Gao
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Augmented Bayesian Policy Search
Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Subject-Diffusion: Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning
Jian Ma, Junhao Liang, Chen Chen, Haonan Lu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Climate-sensitive Urban Planning through Optimization of Tree Placements
Simon Schrodi, Ferdinand Briegel, Max Argus, Andreas Christen, Thomas Brox
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Graph Decoding via Generalized Random Dot Product Graph
Alvaro Ciudad Serrano, Zinnera Tariq, Stelina Tarasi, Alexis Molina
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Emu: Generative Pretraining in Multimodality
Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone