ICLR 2024 Conference Submissions

MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding
Marco Bongiovanni, Luca Gallo, Roberto Grasso, Alfredo Pulvirenti
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FINE-GRAINED AUDIO-VISUAL JOINT REPRESENTATIONS FOR MULTIMODAL LARGE LANGUAGE MODELS
Guangzhi Sun, Wenyi Yu, Changli Tang, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun MA, Chao Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Gated recurrent neural networks discover attention
Nicolas Zucchet, Seijin Kobayashi, Yassir Akram, Johannes von Oswald, Maxime Larcher, Angelika Steger, Joao Sacramento
- 22 Sept 2023 (modified: 12 May 2025)
- Submitted to ICLR 2024
- Readers: Everyone
Label-encoding Risk Minimization under Label Insufficient Scenarios
Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FedCR: Federated Face Recognition with Inter-Class Representation Learning
Di Qiu, Xinyang Lin
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Leveraging characteristics of the output distribution for identifying adversarial audio examples
Matias Patricio Pizarro Bustamante, Dorothea Kolossa, Asja Fischer
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Light Schrödinger Bridge
Alexander Korotin, Nikita Gushchin, Evgeny Burnaev
- Published: 16 Jan 2024, Last Modified: 18 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
Chrisantha Fernando, Dylan Sunil Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Prompt2Rec : Prompt based user and item Re-characterizing method for Recommendation
Seonjin Hwang, Younghoon Lee
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks
Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takáč, Maxim Panov
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Reward-Free Curricula for Training Robust World Models
Marc Rigter, Minqi Jiang, Ingmar Posner
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
Jeff Guo, Philippe Schwaller
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
PreCoT: Problem Representation Enhances Reasoning in Large Language Models
Seokhyun An, Hyounghun Kim
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MMPareto: Innocent Uni-modal Assistance for Enhanced Multi-modal Learning
Yake Wei, Weiran Shen, Di Hu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music
Yikai Qian, Tianle Wang, Xinyi Tong, Peiyang Yu, Jialan Dong, Sitong Chen, Xin Jin, Duo XU, Bo Zheng, Tiezheng Ge, Song-Chun Zhu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Interpretable Characteristic Kernels via Decision Forests
Sambit Panda, Cencheng Shen, Joshua T Vogelstein
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DITTO: Offline Imitation Learning with World Models
Branton DeMoss, Paul Duckworth, Jakob Nicolaus Foerster, Nick Hawes, Ingmar Posner
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LLaMA Rider: Spurring Large Language Models to Explore the Open World
Yicheng Feng, Yuxuan Wang, jiazheng liu, Sipeng Zheng, Zongqing Lu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Leveraging Uncertainty Estimates To Improve Classifier Performance
Gundeep Arora, Srujana Merugu, Anoop Saladi, Rajeev Rastogi
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark A. Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo
- Published: 16 Jan 2024, Last Modified: 31 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Disco-Bench: A Context-Aware Evaluation Benchmark for Language Modelling
Longyue Wang, DongHuai Liu, Deng Cai, Dian Yu, Haiyun Jiang, Yan Wang, Leyang Cui, Shuming Shi, Zhaopeng Tu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Manuel Dileo, Matteo Zignani, Sabrina Tiziana Gaito
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Advantage-Aware Policy Optimization for Offline Reinforcement Learning
Yunpeng Qing, Shunyu Liu, Jingyuan Cong, Kaixuan Chen, Yihe Zhou, Mingli Song
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Fine-Tuning Performance of Large-Scale Text-to-Image Models on Specialized Datasets
Yan-Lin Zhu, Peipei Yang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Retrieval-Enhanced Contrastive Vision-Text Models
Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone