ICLR 2024 Conference Submissions

DAS$^2$C: A Distributed Adaptive Minimax Method with Near-Optimal Convergence
Yan Huang, Xiang Li, Yipeng Shen, Niao He, Jinming Xu
- 24 Sept 2023 (modified: 27 Jan 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning to Reject with a Fixed Predictor: Application to Decontextualization
Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Disentangling Covariates to Predict Counterfactuals for single-cell data
Kian Shamsaie, Stathis Megas, Hesam Asadollahzadeh, Sarah A Teichmann, Mohammad Lotfollahi
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
All Languages Matter: On the Multilingual Safety of Large Language Models
Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael Lyu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Deep Anti-Regularized Ensembles
Antoine de Mathelin, François Deheeger, Mathilde MOUGEOT, Nicolas Vayatis
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CLASS-INCREMENTAL LEARNING USING GENERATIVE EXPERIENCE REPLAY BASED ON TIME-AWARE REGULARIZATION
Zizhao Hu, Mohammad Rostami
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Thin-Thick Adapter: Segmenting Thin Scans Using Thick Annotations
Zeyu Zhang, Bowen Zhang, Abhiram Hiwase, Christen Barras, Feng Chen, Biao Wu, Adam James Wells, Daniel Y Ellis, Benjamin Reddi, Andrew William Burgan, Minh-Son To, Ian Reid, Richard Hartley
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
$\gamma$-Orthogonalized Tensor Deflation: Towards Robust \& Interpretable Tensor Decomposition in the Presence of Correlated Components
Mohammed Mahfoud, Mohamed El Amine Seddik, Merouane Abdelkader DEBBAH
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Dynamics-Informed Protein Design with Structure Conditioning
Urszula Julia Komorowska, Simon V Mathis, Kieran Didi, Francisco Vargas, Pietro Lio, Mateja Jamnik
- Published: 16 Jan 2024, Last Modified: 01 May 2024
- ICLR 2024 poster
- Readers: Everyone
DfPO: Degeneration-free Policy Optimization via Action Masking in Natural Language Action Spaces
Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Honglak Lee, Moontae Lee
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SR-OOD: Out-of-Distribution Detection via Sample Repairing
Rui Sun, Andi Zhang, Haiming Zhang, J.K. Kingsley Ren, Yao Zhu, Ruimao Zhang, Zhen Li
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Syntactic Representations Enable Interpretable Hierarchical Word Vectors
Biraj Silwal
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On Synthetic Data and Iterative Magnitude Pruning: a Linear Mode Connectivity Study
Luke McDermott, Daniel Cummings
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Can General-Purpose Language Models Emulate a General-Purpose Computer In-Context?
Vasilis Papageorgiou, Jy-yong Sohn, Kangwook Lee, Dimitris Papailiopoulos
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
VRAda: A Variance Reduced Adaptive Algorithm for Stochastic Parameter-Agnostic Minimax Optimizations
Xiaokang Pan, Jin Liu, Shichao Kan, Junwen Duan, Youqi Li, Lixing Chen, Zhe Qu
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models
Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Partitioning Message Passing for Graph Fraud Detection
Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen
- Published: 16 Jan 2024, Last Modified: 18 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Niels Mündler, Jingxuan He, Slobodan Jenko, Martin Vechev
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Non-backtracking Graph Neural Networks
Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FHA-Kitchens: A Novel Dataset for Fine-Grained Hand Action Recognition in Kitchen Scenes
Ting Zhe, Yongqian Li, Jing Zhang, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Analyzing Self-attention via Linear Neural Network
Pritam Chandra, Tanmay Kumar Sinha, Kabir Ahuja, Ankit Garg, Navin Goyal
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Do LLMs understand Pragmatics? An Extensive Benchmark for Evaluating Pragmatic Understanding of LLMs
Settaluri Lakshmi Sravanthi, Meet Doshi, Pavan Kalyan Tankala, Rudra Murthy, Pushpak Bhattacharyya
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Efficient Denoising Diffusion via Probabilistic Masking
Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao, Jieping Ye, Kani Chen, WEIZHONG ZHANG
- 24 Sept 2023 (modified: 06 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Phase Transitions in Contrastive Learning
Ali Cy, Anugrah Chemparathy, Michael Han, Rumen Dangovski, Peter Y. Lu, Charlotte Loh, Marin Soljacic
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone