ICLR 2024 Conference Submissions

Unveiling the Pitfalls of Knowledge Editing for Large Language Models
Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen
- Published: 02 Feb 2024, Last Modified: 26 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Big Picture Thinking: Enhance Multi-Agent Imitation Learning through Global Dependencies
Tianchen Zhu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Catastrophic Negative Transfer: An Overlooked Problem in Continual Reinforcement Learning
Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image
Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Physics-informed neural networks with unknown measurement noise
Philipp Pilar, Niklas Wahlström
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
On Compositional Generalization in Language Models
Minsu Kim, James Thorne
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Recovery of Training Data from Overparameterized Autoencoders: An Inverse Problem Perspective
Koren Abtibul, Yehuda Dar
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
Omer Nahum, Gali Noti, David C. Parkes, Nir Rosenfeld
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DiffEnc: Variational Diffusion with a Learned Encoder
Beatrix Miranda Ginn Nielsen, Anders Christensen, Andrea Dittadi, Ole Winther
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
SignKD: Multi-modal Hierarchical Knowledge Distillation for Continuous Sign Language Recognition
Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Bian Wu, Guangyong Chen, Pheng-Ann Heng
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
Antoine Bambade, Fabian Schramm, Adrien Taylor, Justin Carpentier
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Boolformer: Symbolic Regression of Logic Functions with Transformers
Stéphane d'Ascoli, Samy Bengio, Joshua M. Susskind, Emmanuel Abbe
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths
Charles Guille-Escuret, Hiroki Naganuma, Kilian FATRAS, Ioannis Mitliagkas
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?
Yannik Keller, Jannis Blüml, Gopika Sudhakaran, Kristian Kersting
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
Stéphane d'Ascoli, Sören Becker, Philippe Schwaller, Alexander Mathis, Niki Kilbertus
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Amortized Network Intervention to Steer the Excitatory Point Processes
Zitao Song, Wendi Ren, Shuang Li
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Diffusion World Models
Eloi Alonso, Adam Jelley, Anssi Kanervisto, Tim Pearce
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fast and unified path gradient estimators for normalizing flows
Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel
- Published: 16 Jan 2024, Last Modified: 26 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Multimodal Variational Disentangled Knowledge Alignment for Cross-domain Recommendation
Wei Yang, Qingchen Yang, Zhiqiang Liu, Chi Lu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
All for One and One for All: A Collaborative FL Framework for Generic Federated Learning with Personalized Plug-ins
Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Differentially Pivate Per-Instance Additive Noise Mechanism: A Game Theoretic Approach
Sehyun Ryu, Jonggyu Jang, Hyun Jong Yang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs
Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho LAM, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael Lyu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Variational Federated Continual Learning
Haodong Zhang, Liu Yang, Zixuan Qin, Qilong Wang, Yahong Han, Qinghua Hu, Yingjun Deng
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-interest Disentangled Representation Learning for Multimodal Recommendation
Wei Yang, Qingchen Yang, Yiqun Chen, Chi Lu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CEIR: Concept-based Explainable Image Representation Learning
Yan Cui, Shuhong Liu, Liuzhuozheng Li, Zhiyuan Yuan
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone