ICLR 2024 Conference Submissions

Correlated dense associative memories
Thomas F Burns
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
Zihao TANG, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
FedGSE:Gradient-based Sub-model Extraction for Resource-constrained Federated Learning
yabo jia, Haozhao Wang, Genlang Chen, Tianwei Zhang, Chaoyi Pang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite
- Published: 16 Jan 2024, Last Modified: 25 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization
Min-Kook Suh, Seung-Woo Seo
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Time-Varying Convexifications of Multiple Fairness Measures
Quan Zhou, Jakub Marecek, Robert Noel Shorten
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Knowledge Graph Reasoning with Reinforcement Learning Agent guided by Multi-relational Graph Neural Networks
Chung Wang Wong, Michael Ng
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models
Mingfeng Xue, Dayiheng Liu, Kexin Yang, Guanting Dong, Wenqiang Lei, Zheng Yuan, Chang Zhou, Jingren Zhou
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Generalization for Discriminator-Guided Diffusion Models via Strong Duality
Hisham Husain, Richard Nock
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Hierarchical-Latent Generative Models are Robust View Generators for Contrastive Representation Learning
Dario Serez, Marco Cristani, Alessio Del Bue, Vittorio Murino, Pietro Morerio
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
TeLLMe what you see: Using LLMs to Explain Neurons in Vision Models
Leon Guertler, M Ganesh Kumar, Anh Tuan Luu, Cheston Tan
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FedInverse: Evaluating Privacy Leakage in Federated Learning
Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar
- Published: 16 Jan 2024, Last Modified: 06 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber, Tom Wollschläger, Bertrand Charpentier, Antonio Oroz, Stephan Günnemann
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adding 32 Parameters to a LLM can improve fine-tuned classification performance by up to 1.5-6 percentage points
Leon Guertler, M Ganesh Kumar, Cheston Tan
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Equivariant Protein Multi-task Learning
Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, JUN ZHOU, Ting Chen
- 21 Sept 2023 (modified: 08 Nov 2024)
- Submitted to ICLR 2024
- Readers: Everyone
NoiseOut: Learning to Gate Improves Robustness in Deep Neural Networks
Leon Guertler, M Ganesh Kumar, Cheston Tan
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Diving into Class-Incremental Learning from Better Balancing Old and New knowledge
Feifei Fu, Yizhao Gao, Shiqi Zhao, Haoran Wu, Zhiwu Lu
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
From Sparse to Dense: Learning to Construct 3D Human Meshes from WiFi
Bo Qian, Xing Wei, Kangwei Yan, Fei Wang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm
Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
DeepHandMesh-lite: Learning personalized hand shape using limited data and weak supervision
Victor Miro Kolenic, Rahul Chaudhari
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Informed POMDP: Leveraging Additional Information in Model-Based RL
Gaspard Lambrechts, Adrien Bolland, Damien Ernst
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Deterministic Diffusion for Sequential Tasks
Meital Bojan, Orr Krupnik, Aviv Tamar
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Effective Learning by Node Perturbation in Deep Neural Networks
Sander Dalm, Marcel van Gerven, Nasir Ahmad
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone