ICLR 2024 Conference Submissions

FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection
Chunyong Hu, Hang Zheng, Kun Li, Jianyun Xu, Weibo Mao, Maochun Luo, Lingxuan Wang, Mingxia Chen, Qihao Peng, Kaixuan Liu, Yiru Zhao, Hao Peihan, Minzhe Liu, Kaicheng Yu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Equivariant Graph Neural Operator for Modeling 3D Dynamics
Minkai Xu, Jiaqi Han, Aaron Lou, Kamyar Azizzadenesheli, Stefano Ermon, Anima Anandkumar
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SemanticBoost: Elevating Motion Generation with Augmented Textual Cues
Xin He, Shaoli Huang, Xiaohang Zhan, CHAO WENG, Ying Shan
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
Chaohua Shi, Kexin Huang, Lu GAN, Hongqing Liu, Mingrui Zhu, Nannan Wang, Xinbo Gao
- Published: 16 Jan 2024, Last Modified: 07 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Adaptive Resolution Residual Networks
Léa Demeule, Mahtab Sandhu, Glen Berseth
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Swift Sampler: Efficient Learning of Sampler by 10 parameters
Jiawei Yao, Chuming Li
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
Ziyao Wang, Jianyu Wang, Ang Li
- Published: 16 Jan 2024, Last Modified: 22 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines
Camilo Luciano Fosco, Emilie L Josephs, Alex J Andonian, Aude Oliva
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AVOID: Alleviating VAE's Overestimation in Unsupervised OOD Detection
Yewen Li, Chaojie Wang, Xiaobo Xia, Hongxin Wei, Tongliang Liu, Bo An, Lei Feng, Xinrun Wang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Big Learning
Yulai Cong, Miaoyun Zhao, Sijia Li
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
Haiping Wang, Yuan Liu, Bing WANG, YUJING SUN, Zhen Dong, Wenping Wang, Bisheng Yang
- Published: 16 Jan 2024, Last Modified: 01 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
CITING: Large Language Models Create Curriculum for Instruction Tuning
Tao Feng, Zifeng Wang, Jimeng Sun
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Big Learning Variational Auto-Encoders
Yulai Cong, Sijia Li
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
Xinyu Peng, Ziyang Zheng, Wenrui Dai, Nuoqian Xiao, Chenglin Li, Junni Zou, Hongkai Xiong
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Fast Framework for Post-training Structured Pruning Without Retraining
Chenhao Li, Lin Li, Zhang Zhibin, Qiang Qiu, Jiafeng Guo, Xueqi Cheng
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V Le, Denny Zhou
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs
shiyu xuan, Qingpei Guo, Ming Yang, Shiliang Zhang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
How Powerful are Graph Neural Networks with Random Weights?
Ziqi Zhao, Shangzhe Li, Junran Wu, Ke Xu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
End-to-End Neural Network Compression via $\frac{\ell_1}{\ell_2}$ Regularized Latency Surrogates
Anshul Nasery, Hardik Shah, Arun Suggala, Prateek Jain
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ImagenHub: Standardizing the evaluation of conditional image generation models
Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation
Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Prompt-Guided Dynamic Network for Image Super Resolution
Cheng Cheng, Lin Song, Xiaohan Ding, Hang Wang, Hongbin Sun
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fine-tune Language Models to Approximate Unbiased In-context Learning
Timothy Zer-An Chu, Zhao Song, Chiwun Yang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks
Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-zhong Xu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Chat-UniVi: A Unified Vision-Language Model for Image and Video Understanding
Peng Jin, Ryuichi Takanobu, Cai Wan Zhang, Xiaochun Cao, Li Yuan
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone