ICLR 2024 Conference Submissions

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
Maxwell Xu, Alexander Moreno, Hui Wei, Benjamin Marlin, James Matthew Rehg
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
FedQV: Leveraging Quadratic Voting in Federated Learning
Tianyue Chu, Nikolaos Laoutaris
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Quantile-Free Regression: A Flexible Alternative to Quantile Regression
Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
What Makes for Robust Multi-Modal Models in the Face of Missing Modalities?
Siting Li, Chenzhuang Du, Yue Zhao, Yu Huang, Hang Zhao
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
MAGNet: Motif-Agnostic Generation of Molecules from Shapes
Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J Theis, Stephan Günnemann
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Casting Light on Large Generative Networks: Taming Epistemic Uncertainty in Diffusion Models
Lucas Berry, Axel Brando, David Meger
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
WHICH RESTRAINS FEW-SHOT CLASS-INCREMENTAL LEARNING, FORGETTING OR FEW-SHOT LEARNING?
Yijie Hu, Qiufeng Wang, Kaizhu Huang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
BackBench: Are Vision Language Models Resilient to Object-to-Background Context?
Muhammad Huzaifa, Hashmat Shadab Malik, Muzammal Naseer, Salman Khan, Fahad Khan
- 23 Sept 2023 (modified: 07 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
REAL: Rectified Adversarial Sample via Max-Min Entropy for Test-Time Defense
Lina Ma, Lei Zhang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Escaping the Sample Trap: Fast and Accurate Epistemic Uncertainty Estimation with Pairwise-Distance Estimators
Lucas Berry, David Meger
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CoLiDE: Concomitant Linear DAG Estimation
Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
PromptNER : Prompting For FewShot Named Entity Recognition
Dhananjay Ashok, Zachary Chase Lipton
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Video Caching at Data-drifting Network Edge: A KD-based Cross-domain Collaborative Solution
Jipeng Li, Yuan Meng, Yinmin Zhang, Xin Wang, Zhi Wang, Wenwu Zhu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
Yixiao Li, Yifan Yu, Chen Liang, Nikos Karampatziakis, Pengcheng He, Weizhu Chen, Tuo Zhao
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Scaling Convex Neural Networks with Burer-Monteiro Factorization
Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Simple mechanisms for representing, indexing and manipulating concepts
Yuanzhi Li, Raghu Meka, Rina Panigrahy, Kulin Shah
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Large Multimodal Model for Real-World Radiology Report Generation
Brian Nlong Zhao, XINYANG JIANG, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
Jingyu Chen, Runlin Lei, Zhewei Wei
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Reward Translation via Reward Machine in Semi-Alignable MDPs
Yun Hua, Wenhao Li, Bo Jin, Baoxiang Wang, Xiaofeng He, Hongyuan Zha, Xiangfeng Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification
Haipeng Ding, Zhewei Wei, Yuhang Ye
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SASS: Self-Alignment with Semi-Supervised Instruction Data Generation
Yue Wang, Haoke Zhang, Juntao Li, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
WavJourney: Compositional Audio Creation with Large Language Models
Xubo Liu, Zhongkai Zhu, Haohe Liu, Yi Yuan, Meng Cui, Qiushi Huang, Jinhua Liang, Yin Cao, Qiuqiang Kong, Mark D Plumbley, Wenwu Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Linguistic Image Understanding
Alex Jinpeng Wang, Pan Zhou, Xudong Lin, Mike Zheng Shou
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone