ICLR 2024 Conference Submissions

Fine-tuning can cripple foundation models; preserving features may be the solution
Jishnu Mukhoti, Yarin Gal, Philip Torr, Puneet K. Dokania
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
GraphAgent: Exploiting Large Language Models for Interpretable Learning on Text-attributed Graphs
Xinmiao Yu, Meng Qu, Xiaocheng Feng, Bing Qin
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Untrained Networks' Class Bias: A Theoretical Investigation
Emanuele Francazi, Aurelien Lucchi, Marco Baity-Jesi
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
GML-NeRF: Gate-guided Mutual Learning Framework for Neural Rendering
Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan Celine Lin, Yu Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Lost in Translation: Conceptual Blind Spots in Text-to-Image Diffusion Models
Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Convergence of SVGD in KL divergence via approximate gradient flow
Masahiro Fujisawa, Futoshi Futami
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Offline Tracking with Object Permanence
Xianzhong Liu, Holger Caesar
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
Christian Fabian, Kai Cui, Heinz Koeppl
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
Size Wu, Wenwei Zhang, Lumin Xu, Sheng Jin, Xiangtai Li, Wentao Liu, Chen Change Loy
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Zeyang Sha, Xinlei He, Pascal Berrang, Mathias Humbert, Yang Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks
Lukas Fesser, Luca D'Amico-Wong, Richard Qiu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unraveling the Key Components of OOD Generalization via Diversification
Harold Luc Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
Weibang Jiang, Liming Zhao, Bao-liang Lu
- Published: 16 Jan 2024, Last Modified: 07 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Cross-modality Interpretable image classification via Concept Decomposition Vector of Visual Language Models
Zhengqing Fang, Zhouhang Yuan, Ziyu Li, Kun Kuang, Fei Wu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders
Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphné Chopard, Julia E Vogt
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Pareto-Optimality for Test-Time Adaptation
JoonHo Jang, DongHyeok Shin, Byeonghu Na, HeeSun Bae, Il-chul Moon
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon Shaolei Du, Huazhe Xu
- Published: 16 Jan 2024, Last Modified: 02 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
JudgeLM : Fine-tuned Large Language Models are Scalable Judges
Lianghui Zhu, Xinggang Wang, Xinlong Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Identifiable State Disentanglement for Reinforcement Learning with Policy Optimality
Haiyao Cao, Zhen Zhang, Panpan Cai, Yuhang Liu, Ehsan Abbasnejad, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Experts on Demand: Dynamic Routing for Personalized Diffusion Models
Juntu Zhao, Jialing Zhang, Chongxuan Li, Dequan Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learned Mixing Weights for Transferable Tabular Data Augmentation
Tal Shaharabany, Lior Wolf
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark
Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
A Parallel Multi-compartment Spiking Neuron For Multi-scale Sequential Modeling
Xinyi Chen, Jibin Wu, Chenxiang Ma, Yinsong Yan, KC Tan
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Tiny-StyleWizard: Unleashing the Potential of Small Language Models in Complex Style Transfer
Xin Chen, Yongfeng Huang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DOG: Discriminator-only Generation Beats GANs on Graphs
Franz Rieger, Joergen Kornfeld
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone