ICLR 2024 Conference Submissions

Diversity, Plausibility, and Difficulty: Dynamic Data-Free Quantization
Cheeun Hong, Sungyong Baik, Junghun Oh, Kyoung Mu Lee
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Rotative Factorization Machines
Zhen Tian, Yuhong Shi, Xiangkun Wu, Xin Zhao, Ji-Rong Wen
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RoDyn-SLAM: Robust Dynamic Dense RGB-D SLAM with Neural Radiance Fields
Haochen Jiang, Yueming Xu, Kejie Li, Li Zhang, Jianfeng Feng
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rethinking Adversarial Training with Neural Tangent Kernel
Guanlin Li, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards the Vulnerability of Watermarking Artificial Intelligence Generated Content
Guanlin Li, Yifei Chen, Jie Zhang, Jiwei Li, Shangwei Guo, Tianwei Zhang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Omnipotent Adversarial Training in the Wild
Guanlin Li, Kangjie Chen, Yuan Xu, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Alleviating the Effect of Data Imbalance on Adversarial Training
Guanlin Li, Guowen Xu, Tianwei Zhang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CAT: Collaborative Adversarial Training
xingbin liu
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SqueezeLLM: Dense and Sparse Quantization
Sehoon Kim, Coleman Richard Charles Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
Mengyuan Chen, Junyu Gao, Changsheng Xu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Scaling Sentence Embeddings with Large Language Models
Ting Jiang, Shaohan Huang, Zhongzhi Luan, deqing wang, Fuzhen Zhuang
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Graph Learning with Distributional Edge Layouts
Xinjian Zhao, Chaolong Ying, Tianshu Yu
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Visualizing the Emergence of Primitive Interactions During the Training of DNNs
Jie Ren, Xinhao Zheng, Jiyu Liu, Quanshi Zhang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models
Zhanbo Feng, Zenan Ling, Feng Zhou, Ci Gong, Jie LI, Robert C Qiu
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao
- Published: 16 Jan 2024, Last Modified: 03 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
State-drive Implicit Modeling
Alicia Y. Tsai, Juliette Decugis, Laurent El Ghaoui, Alper Atamturk
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generating Less Certain Adversarial Examples Improves Robust Generalization
Minxing Zhang, Michael Backes, Xiao Zhang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Weakly-supervised Camera Localization by Ground-to-satellite Image Registration
Yujiao Shi, Hongdong Li, Akhil Perincherry, Ankit Vora
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
Jiawei Sun, Kailai Li, Ruoxin Chen, Jie LI, Chentao Wu, Yue Ding, Junchi Yan
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
UniSeMi: Toward Unified Semi-supervised Medical Image Segmentation
Qingjie Zeng, Yutong Xie, Zilin LU, Mengkang Lu, Yong Xia
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Unpaired Panoramic Image-to-Image Translation Leveraging Pinhole Images
Soohyun Kim, Junho Kim, Taekyung Kim, Hwan Heo, Seungryong Kim, Jiyoung Lee, Jin-Hwa Kim
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu
- Published: 16 Jan 2024, Last Modified: 11 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
On the Evaluation of Generative Models in Distributed Learning Tasks
Zixiao Wang, Farzan Farnia, Zhenghao Lin, Yunheng Shen, Bei Yu
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone