ICLR 2024 Conference Submissions

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models
Xianjun Yang, Xiao Wang, Qi Zhang, Linda Ruth Petzold, William Yang Wang, Xun Zhao, Dahua Lin
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Algorithms for Caching and MTS with reduced number of predictions
Karim Ahmed Abdel Sadek, Marek Elias
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer
Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Interpretable Deep Clustering
Jonathan Svirsky, Ofir Lindenbaum
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Spectrum-guided Multi-view Graph Fusion
Yiran Li, Gongyao GUO, Jieming Shi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FrAug: Frequency Domain Augmentation for Time Series Forecasting
Muxi Chen, Zhijian Xu, Ailing Zeng, Qiang Xu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Two-timescale Extragradient for Finding Local Minimax Points
Jiseok Chae, Kyuwon Kim, Donghwan Kim
- Published: 16 Jan 2024, Last Modified: 12 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
FedEBA+: Towards Fair and Effective Federated Learning via Entropy-based Model
Lin Wang, Zhichao Wang, Xiaoying Tang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Zero-Shot Visual Classification with Guided Cropping
Piyapat Saranrittichai, Mauricio Munoz, Volker Fischer, Chaithanya Kumar Mummadi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
Sheng Xu, Guiliang Liu
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
NaturalSigner: Diffusion Models are Natural Sign Language Generator
Aoxiong Yin, Jiahao Xun, Xize Cheng, Tao Jin, Shengyu Zhang, Zhou Zhao, Siliang Tang, Fei Wu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning
Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TeG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Task Design
Yongrui Chen, Haiyun Jiang, Xinting Huang, Shuming Shi, Guilin Qi
- 22 Sept 2023 (modified: 27 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning Rates
Kento Imaizumi, Hideaki Iiduka
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance Representation
Weijie Ma, Jingwei Jiang, Yang Yang, Zehui Chen, Hao Chen
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference
Xuanlei Zhao, Shenggan Cheng, Guangyang LU, Haotian Zhou, Bin Jia, Yang You
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
- Published: 16 Jan 2024, Last Modified: 18 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
A qualitative theory of dynamical systems for assessing stability in ResNets
Woochul Jung, Pildong Hwang, C.A. Morales, Jong-Yeup Kim, SEUNGHEE LEE
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Distributional Distance Classifiers for Goal-Conditioned Reinforcement Learning
Ravi Tej Akella, Benjamin Eysenbach, Jeff Schneider, Russ Salakhutdinov
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Retrieval is Accurate Generation
Bowen Cao, Deng Cai, Leyang Cui, Xuxin Cheng, Wei Bi, Yuexian Zou, Shuming Shi
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach
Jinlong Pang, Zhaowei Zhu, Jialu Wang, Yuanshun Yao, Chen Qian, Yang Liu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Data Descriptions from Large Language Models with Influence Estimation
Chaeri Kim, Taehwan Kim
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
Changwen Zhang, Wenli Ouyang, Hao Yuan, Liming Gong, Yong Sun, Ziao Guo, Zhichen Dong, Junchi Yan
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
BTBS-LNS: A Binarized-Tightening, Branch and Search Approach of Learning Large Neighborhood Search Policies for MIP
Hao Yuan, Wenli Ouyang, Changwen Zhang, Yong Sun, Liming Gong, Ziao Guo, Zhichen Dong, Junchi Yan
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
AnoRand - Deep Learning-Based Semi-Supervised Anomaly Detection with Synthetic Labels
Mansour ZOUBEIROU A MAYAKI, Michel Riveill
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone