ICLR 2024 Conference Submissions

Adaptive Hierarchical Certification for Semantic Segmentation using Randomized Smoothing
Alaa Anani, Tobias Lorenz, Mario Fritz, Bernt Schiele
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Subgraph-To-Node Translation for Efficient Representation Learning of Subgraphs
Dongkwan Kim, Alice Oh
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Interpretable Latent Distributions Using Space-Filling Curves
Mohammad Hassan Vali, Tom Bäckström
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
POUTA - Produce once, utilize twice for anomaly detection
Shuyuan Wang, Huiyuan Luo, Qi Li, Chengkan Lv, Zhengtao Zhang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Align after Pre-train: Improving Multilingual Generative Models with Cross-lingual Alignment
Chong Li, Shaonan Wang, Jiajun Zhang, Chengqing Zong
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Vicinal Assessment of Model Generalization
Yuchi Liu, Yifan Sun, Jingdong Wang, Liang Zheng
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CARD: Certifiable Reweighting for Single Domain Generalization Object Detection
Fan Wu, Xue Zhao, Jinling Gao, Nanyang Ye
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
Eliya Segev, Maya Alroy, Ronen Katsir, Noam Wies, Ayana Shenhav, Yael Sapir Ben-Oren, David Zar, Oren Tadmor, Jacob Bitterman, Amnon Shashua, Tal Rosenwein
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
IRGen: Generative Modeling for Image Retrieval
Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Image Inpainting via Iteratively Decoupled Probabilistic Modeling
Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Regularized KL-Divergence for well-defined function space variational inference in BNNs
Tristan Cinquin, Robert Bamler
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Decoding Natural Images from EEG for Object Recognition
Yonghao Song, Bingchuan Liu, Xiang Li, Nanlin Shi, Yijun Wang, Xiaorong Gao
- Published: 16 Jan 2024, Last Modified: 04 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval
Yongchao Du, Min Wang, Wengang Zhou, Shuping Hui, Houqiang Li
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Open-Source Can Be Dangerous: On the Vulnerability of Value Alignment in Open-Source LLMs
Jingwei Yi, Rui Ye, Qisi Chen, Bin Benjamin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DISK: Domain Inference for Discovering Spurious Correlation with KL-Divergence
Yujin Han, Difan Zou
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Individual/Joint Deblurring and Low-Light Image Enhancement in One Go via Unsupervised Deblurring Paradigm
Suiyi Zhao, Zhao Zhang, Jicong Fan, Yang Zhao, Shuicheng YAN
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Bespoke Solvers for Generative Flow Models
Neta Shaul, Juan Perez, Ricky T. Q. Chen, Ali Thabet, Albert Pumarola, Yaron Lipman
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Neural Priority Queues for Graph Neural Networks (GNNs)
Rishabh Jain, Petar Veličković, Pietro Lio
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
You Only Look at Screens: Multimodal Chain-of-Action Agents
Zhuosheng Zhang, Aston Zhang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning to Compute Gröbner Bases
Hiroshi Kera, Yuki Ishihara, Yuta Kambe, Tristan Vaccon, Kazuhiro Yokoyama
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A New Tensor Network: Tubal Tensor Train Network and its Applications
Salman Ahmadi-Asl, Valentin Leplat, ANH-HUY PHAN, Andrzej Cichocki
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LCOT: Linear Circular Optimal Transport
Rocio P Diaz Martin, Ivan Vladimir Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo Rohde, Soheil Kolouri
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, Daniel Daza, Peter Bloem
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Reinforcement Learning based Image Generation via Visual Consensus Evaluation
Zihan Qin, Mingzhen Sun, Weining Wang, Xinxin Zhu, Jing Liu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone