ICLR 2024 Conference Submissions

A Critical Study of What Pre-trained Code Models (do not) Learn
Abhinav Anand, Krishna Narasimhan, Mira Mezini
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Active Domain Adaptation Of Medical Images Using Feature Disentanglement
Dwarikanath Mahapatra, Ruwan Tennakoon
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Perturbed examples reveal invariances shared by language models
Ruchit Rawal, Mariya Toneva
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How Sparse Can We Prune A Deep Network: A Geometric Viewpoint
Qiaozhe Zhang, Ruijie ZHANG, Jun Sun, Yingzhuang Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Shruthi Gowda, Bahram Zonooz, Elahe Arani
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Red Pill or Blue Pill? Thresholding Strategies for Neural Network Monitoring
Khoi Tran DANG, Kevin Delmas, Jeremie Guiochet, Joris Guerin
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unbalanced Diffusion Schrödinger Bridge
Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause, Valentin De Bortoli
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Matrix-wise Class Imbalance Matters: On the Generalization of Micro-AUC in Multi-label Learning
Guoqiang Wu, Yan Zhang, Teng Pang, Chongxuan Li, Yilong Yin
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Autonomous Tree-search Ability of Large Language Models
Zheyu Aqa Zhang, Zhuorui Ye, Yikang Shen, Chuang Gan
- 23 Sept 2023 (modified: 03 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Novel Approach for Micro-Expression Recognition Incorporating Vertical Attention and Position Localization
Linquan Wu, Wenhao Duan, Tianxiang Jiang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Perturb and Learn: Energy-Based Modelling in Discrete Spaces without MCMC
Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew B. Duncan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution
Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
ZOOPFL: EXPLORING BLACK-BOX FOUNDATION MODELS FOR PERSONALIZED FEDERATED LEARNING
Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Hindsight PRIORs for Reward Learning from Human Preferences
Mudit Verma, Katherine Metcalf
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Communication-Efficient Algorithm for Asynchronous Multi-Agent Bandits
Xuchuang Wang, Yu-Zhen Janice Chen, Xutong Liu, Lin Yang, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Meta-Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems
Hossein Askari, Fred Roosta, Hongfu Sun
- 23 Sept 2023 (modified: 07 Apr 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Are Spiking Neural Networks more expressive than Artificial Neural Networks?
Manjot Singh, Adalbert Fono, Gitta Kutyniok
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
Tuan Le, Julian Cremer, Frank Noe, Djork-Arné Clevert, Kristof T Schütt
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape
Kedar Karhadkar, Michael Murray, Hanna Tseran, Guido Montufar
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Informing Reinforcement Learning Agents by Grounding Natural Language to Markov Decision Processes
Benjamin Adin Spiegel, Ziyi Yang, William Jurayj, Katie Ta, Stefanie Tellex, George Konidaris
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
VQ-CAD: Computer-Aided Design Model Generation with Vector Quantized Diffusion
Hanxiao Wang, Mingyang Zhao, Yiqun Wang, Weize Quan, Dong-ming Yan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee K. Wong, Zhenguo Li, Hengshuang Zhao
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Effortless Cross-Platform Video Codec: A Codebook-Based Method
Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Yang Wei
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Heterogeneous Value Alignment Evaluation for Large Language Models
Zhaowei Zhang, Ceyao Zhang, Nian Liu, Siyuan Qi, Ziqi Rong, Song-Chun Zhu, Shuguang Cui, Yaodong Yang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Unveiling Linear Mode Connectivity of Re-basin from Neuron Distribution Perspective
Zhiqi Li, Zexi Li, Mian Wu, Cheng Wan, Chao Wu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone