ICLR 2024 Conference Submissions

WASSERSTEIN-GUIDED SYMBOLIC REGRESSION: MODEL DISCOVERY OF NETWORK DYNAMICS
Ramzi Dakhmouche, Ivan Lunati, Hossein Gorji
- 23 Sept 2023 (modified: 02 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Evaluating Language Model Agency Through Negotiations
Tim Ruben Davidson, Veniamin Veselovsky, Michal Kosinski, Robert West
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Towards robust unlearnable examples via deep hiding
Ruohan Meng, Chenyu Yi, Yi Yu, SIYUAN YANG, Bingquan Shen, Alex Kot
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Deep Backtracking Counterfactuals for Causally Compliant Explanations
Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Medical Image Generation with Anatomical Precision: A Multi-Headed VAE-Based Diffusion Model
Hongfei Yang, YoungSeok Jeon, Mengling Feng
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
On the Role of General Function Approximation in Offline Reinforcement Learning
Chenjie Mao, Qiaosheng Zhang, Zhen Wang, Xuelong Li
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
Jianda Chen, Wen Zheng Terence Ng, Zichen Chen, Sinno Jialin Pan, Tianwei Zhang
- 23 Sept 2023 (modified: 11 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
On the Generalization of Gradient-based Neural Network Interpretations
Ching Lam Choi, Farzan Farnia
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Restorer Guided Diffusion Models for Variational Inverse Problems
JingHao Zhang, Zizheng Yang, Man Zhou, Feng Zhao
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
3D Dense Captioning beyond Nouns: A Middleware for Autonomous Driving
Bu Jin, Yupeng Zheng, Pengfei Li, Sujie Hu, Zhijie Yan, Xinyu Liu, Yuhang Zheng, Jingjing Huang, Jinwei Zhu, Guyue Zhou, Yilun Chen, Hao Zhao
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
On the Relation between Gradient Directions and Systematic Generalization
Yuanpeng Li, Liang Zhao, Joel Hestness, Kenneth Church, Mohamed Elhoseiny
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation
Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei
- Published: 16 Jan 2024, Last Modified: 09 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Tony Chen, Miao Xu
- Published: 16 Jan 2024, Last Modified: 31 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Controlling Vision-Language Models for Multi-Task Image Restoration
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Decomposition Ascribed Synergistic Learning for Unified Image Restoration
JingHao Zhang, Jie Huang, Man Zhou, Chongyi Li, Feng Zhao
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
Robin van de Water, Hendrik Nils Aurel Schmidt, Paul Elbers, Patrick Thoral, Bert Arnrich, Patrick Rockenschaub
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations
Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M Smedskjaer, Sayan Ranu, N M Anoop Krishnan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SuperPos-Prompt: Enhancing Soft Prompt Tuning of Language Models with Superposition of Multi Token Embeddings
MohammadAli SadraeiJavaheri, Ehsaneddin Asgari, Alice C McHardy, Hamid R. Rabiee
- 23 Sept 2023 (modified: 16 Dec 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
Pratik Patil, Daniel LeJeune
- Published: 16 Jan 2024, Last Modified: 19 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Unsupervised Learning of Object-Centric Representation from Multi-Viewpoint Scenes
Tonglin Chen, Yinxuan Huang, Zhimeng Shen, Jinghao Huang, Lin Zhu, Dakun Yang, Bin Li, Xiangyang Xue
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
AdaFlood: Adaptive Flood Regularization
Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Crystals with Transformers on Graphs, for predictions of crystal material properties
Hongyi Wang, Ji Sun, Jinzhe Liang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Identifying Policy Gradient Subspaces
Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Haeufle, Bernhard Schölkopf, Dieter Büchler
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone