ICLR 2024 Conference Submissions

Understanding Community Bias Amplification in Graph Representation Learning
Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Divin Yan, Zengfeng Huang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Afterstate Reinforcement Learning for Continuous Control
Norio Kosaka
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Implicit Neural Representations for Joint Sparse-View CT Reconstruction
Jiayang Shi, Junyi Zhu, Daniel Pelt, Joost Batenburg, Matthew B. Blaschko
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An Extensible Framework for Open Heterogeneous Collaborative Perception
Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
LARG2, Language-based Automatic Reward and Goal Generation
julien perez, Denys Marie Proux, Claude Roux, Michael Niemaz
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TopoFR: A Closer Look at Topology Alignment on Face Recognition
Jun Dan, Yang Liu, Haoyu Xie, Jiankang Deng, Siyuan Li, Baigui Sun, Xuansong Xie
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Quantum Architecture Search with Unsupervised Representation Learning
Yize Sun, Zixin Wu, Yunpu Ma, Volker Tresp
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning a Diffusion Model Policy from Rewards via Q-Score Matching
Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Meta-Collaboration in Distillation: Pooled Learning from Multiple Students
Durga S, Shashank Kate, Nishant Jain, Atharva Abhijit Tambat, Ganesh Ramakrishnan, Pradeep Shenoy
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Game Theoretic Approach to Meta-Learning: Nash Model-Agnostic Meta-Learning
Jihwan Yu, Jaeyeon Jo, Taeyoung Yun, Jinkyoo Park
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FedORION: Aggregation-Assisted Proxyless Distillation for Heterogeneous Federated Learning
Nirbhay sharma, Mayank Raj, Deepak Mishra
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit
Gabriela Sejnova, Michal Vavrecka, Karla Stepanova
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Neural structure learning with stochastic differential equations
Benjie Wang, Joel Jennings, Wenbo Gong
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Neural Eigenfunctions Are Structured Representation Learners
Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
STARC: A General Framework For Quantifying Differences Between Reward Functions
Joar Max Viktor Skalse, Lucy Farnik, Sumeet Ramesh Motwani, Erik Jenner, Adam Gleave, Alessandro Abate
- Published: 16 Jan 2024, Last Modified: 08 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
GAIA: a benchmark for General AI Assistants
Grégoire Mialon, Clémentine Fourrier, Thomas Wolf, Yann LeCun, Thomas Scialom
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Adaptive Compression of the Latent Space in Variational Autoencoders
Gabriela Sejnova, Michal Vavrecka, Karla Stepanova
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Mutual Information Estimation via $f$-Divergence and Data Derangement Based Learning Models
Nunzio Alexandro Letizia, Nicola Novello, Andrea M Tonello
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A differentiable brain simulator bridging brain simulation and brain-inspired computing
Chaoming Wang, Tianqiu Zhang, Sichao He, Hongyaoxing Gu, Shangyang Li, Si Wu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
SQS: Speech Quality Assessment in the Data Annotation Context
Fernando M. Espinoza-Cuadros, Rafael Ginard-Aguilera, Juan M. Perero-Codosero
- 22 Sept 2023 (modified: 14 Jun 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FLea: Improving federated learning on scarce and label-skewed data via privacy-preserving feature augmentation
Tong Xia, Abhirup Ghosh, Cecilia Mascolo
- 22 Sept 2023 (modified: 18 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FOSI: Hybrid First and Second Order Optimization
Hadar Sivan, Moshe Gabel, Assaf Schuster
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Privacy Preserving API Fine-tuning for LLMs
Philip Zmushko, Marat Mansurov, Ruslan Svirschevski, Denis Kuznedelev, Max Ryabinin, Aleksandr Beznosikov
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
Xing Wang, Zhendong Wang, Kexin Yang, zhiyan song, Lin Zhu, Chao Deng, Junlan Feng
- 22 Sept 2023 (modified: 25 Jan 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Lagrangian Proximal Gradient Descent for Learning Convex Optimization Models
Anselm Paulus, Georg Martius, Vít Musil
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone