ICLR 2024 Conference Submissions

SMPE: A Framework for Multi-Dimensional Permutation Equivariance
Yafei Wang, Xuan He, Hongwei Hou, Xinping Yi, Wenjin Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Model-Based Transfer RL with Task-Agnostic Offline Pretraining
Minting Pan, Yitao Zheng, Haijian Chen, Yumeng He, Yunbo Wang, Xiaokang Yang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Targeted Model Inversion: Distilling Style Encoded in Predictions
Hoyong Jeong, Kiwon Chung, Sung Ju Hwang, Sooel Son
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
Olga Fourkioti, Matt De Vries, Chris Bakal
- Published: 16 Jan 2024, Last Modified: 12 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Multi-Level Contrastive Learning for Dense Prediction Task
Qiushan Guo, Yizhou Yu, Yi Jiang, Jiannan Wu, Zehuan Yuan, Ping Luo
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Model-Decoupling-Based Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator
Kangyang Luo, Shuai Wang, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Theoretical Hardness and Tractability of POMDPs in RL with Partial Online State Information
Ming Shi, Yingbin Liang, Ness Shroff
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GAIA: Zero-shot Talking Avatar Generation
Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, jialiang zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, sheng zhao, Jiang Bian
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Equivariant Quantum Graph Neural Network for Mixed-Integer Linear Programming
Xinyu Ye, Jianhao Huang, Hao Xiong, Jia Wang, Junchi Yan
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning Team-Level Information Integration in Multi-Agent Communication
Xiangrui Meng, Ying Tan
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Are machines automating morality?
Adrien Tallent
- 22 Sept 2023 (modified: 12 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Adaptive Learning of Quantum Hamiltonians
Minbo Gao, Zhengfeng Ji, Fuchao Wei
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
3D Tissue Reconstruction and Generation for Single-Cell Spatial Transcriptomics using Neural Radiance Fields
Yantong Cai, Xiaoxue Chen, Lin Li, Guangchuang Yu, Hao Zhao
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Graph layouts and graph contrastive learning via neighbour embeddings
Marius Keute, Alica Leonie Guzmán, Dmitry Kobak
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Complex QA with Diverse Knowledge Sources: Novel Benchmark and Approach
Wenting Zhao, Ye Liu, Tong Niu, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning
Juan Claude Formanek, Asad Jeewa, Jonathan Phillip Shock, Arnu Pretorius
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion
Pengzhi Li, Yikang Ding, Haohan Wang, Chengshuai Tang, Zhiheng Li
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
Amirhossein Vahidi, Simon Schosser, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
IMPLICIT STACKED AUTOREGRESSIVE MODEL FOR WEATHER FORECASTING
Minseok Seo, Hakjin Lee, Doyi Kim, Junghoon Seo
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Radar Spectra-language Model for Automotive Scene Parsing
Mariia Pushkareva, Yuri Feldman, Csaba Domokos, Kilian Rambach, Dotan Di Castro
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
- Published: 16 Jan 2024, Last Modified: 03 May 2024
- ICLR 2024 poster
- Readers: Everyone
Mark My Words: Repurposing LLMs for Specialized Domains via Ability Tokens
Junhong Shen, Neil Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolo Fusi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone