ICLR 2024 Conference Submissions

Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
- Published: 16 Jan 2024, Last Modified: 01 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Benchmarking Diffusion Based Text-Guided Image Editing Methods
Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, Jürgen Schmidhuber
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
Matthias Lanzinger, Pablo Barcelo
- Published: 16 Jan 2024, Last Modified: 28 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
On convex decision regions in deep network representations
Lenka Tětková, Thea Brüsch, Teresa Scheidt, Fabian Mager, Rasmus Aagaard, Jonathan Foldager, Tommy Sonne Alstrøm, Lars Kai Hansen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unbiased Watermark for Large Language Models
Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
- Published: 16 Jan 2024, Last Modified: 05 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Enhancing Mutual Information Estimation in Self-Interpretable Graph Neural Networks
Wenwen Xia, Yutong Zhang, Caihua Shan, Dongsheng Li, Yuchen Li
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets
Noam Itzhak Levi, Yaron Oz
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PAC Prediction Sets Under Label Shift
Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
PREDICTING ACCURATE LAGRANGIAN MULTIPLIERS FOR MIXED INTEGER LINEAR PROGRAMS
Francesco Demelas, Joseph Le Roux, Mathieu Lacroix, Axel Parmentier
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FedNovel: Federated Novel Class Learning
Lixu Wang, Chenxi Liu, Junfeng Guo, Jiahua Dong, Xiao Wang, Heng Huang, Qi Zhu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How the Level Sampling Process impacts Zero-Shot Generalisation in Deep Reinforcement Learning
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
4D Tensor Multi-task Continual Learning for Disease Dynamic Prediction
Yu Zhang, Xulong Wang, Vitaveska Lanfranchi, Po Yang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Memorization in Self-Supervised Learning Improves Downstream Generalization
Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic, Michael Backes, Nicolas Papernot, Franziska Boenisch
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
The Curse of Diversity in Ensemble-Based Exploration
Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron Courville
- Published: 16 Jan 2024, Last Modified: 24 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploring Deep Learning Parameter Space with a-GPS: Approximate Gaussian Proposal Sampler
Fabian Meyer Bull, Geir Storvik, Arnt B. Salberg, Anne Schistad Solberg
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Implicit Intermediate Supervision for Learning Complex Functions
eran malach, Gal Kaplun, Noam Wies
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multilinear Operator Networks
Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data
Ayesha Vermani, Il Memming Park, Josue Nassar
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
- Published: 16 Jan 2024, Last Modified: 09 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
Antonis Antoniades, Yiyi Yu, Joe S Canzano, William Yang Wang, Spencer Smith
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Off-Policy Primal-Dual Safe Reinforcement Learning
Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
- Published: 16 Jan 2024, Last Modified: 08 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Localized Text-to-Image Generation For Free via Cross Attention Control
Yutong He, Ruslan Salakhutdinov, J Zico Kolter
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone