ICLR 2024 Conference Submissions

Diffusion-TS: Interpretable Diffusion for General Time Series Generation
Xinyu Yuan, Yan Qiao
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Understanding the Approximation Gap of Neural Networks
Tao Wang, Bo Zhao, Sicun Gao, Rose Yu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Attribute Recognition with Image-Conditioned Prefix Language Modeling
William Yicheng Zhu, Keren Ye, Junjie Ke, Jiahui Yu, Leonidas Guibas, Peyman Milanfar, Feng Yang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Federated Learning with a Single Shared Image
Sunny Soni, Aaqib Saeed, Yuki M Asano
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Z-score Normalized SAC Plus Behavioural Cloning for Offline Reinforcement Learning
Huihui Zhang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Gradient-norm Constrained Algorithm on Offline and Online Learning
Huihui Zhang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
Jiecheng Lu, Xu Han, Shihao Yang
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
BiDST: Dynamic Sparse Training is a Bi-Level Optimization Problem
Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the hardness of learning under symmetries
Bobak Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Distributional off-policy evaluation with Bellman residual minimization
Sungee Hong, Zhengling Qi, Raymond K. W. Wong
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Combining Axes Preconditioners through Kronecker Approximation for Deep Learning
Sai Surya Duvvuri, Fnu Devvrit, Rohan Anil, Cho-Jui Hsieh, Inderjit S Dhillon
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards the Characterization of Representations Learned via Capsule-based Network Architectures
Saja AL Tawalbeh, Jose Oramas
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Improving High-Frequency Details in Cerebellum for Brain MRI Super-Resolution
Hanzhi Wang, David Marshall, DEREK KENTON JONES, Yuhua Li
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Instance-aware 3D Semantic Segmentation powered by Shape Reconstruction and Classification
Bo Sun, Qixing Huang, Xiangru Huang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Copula Conformal prediction for multi-step time series prediction
Sophia Huiwen Sun, Rose Yu
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Refined Partitioning Boosts MGDA: Introducing RP-MGDA for Multi-Objective Learning
Zeou Hu, Yaoliang Yu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
One For All: Towards Training One Graph Model For All Classification Tasks
Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Branch-GAN: Improving Text Generation with (not so) Large Language Models
Fredrik Carlsson, Johan Broberg, Erik Hillbom, Magnus Sahlgren, Joakim Nivre
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Learned Visual Features to Textual Explanations
Saeid Asgari, Aliasghar Khani, Amir Hosein Khasahmadi, Ali Saheb Pasand, Aditya Sanghi, Karl D.D. Willis, Ali Mahdavi Amiri
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Bag of Tricks to Boost Adversarial Transferability
Zeliang Zhang, Rongyi Zhu, Wei Yao, Xiaosen Wang, Chenliang Xu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Effective Structural Encodings via Local Curvature Profiles
Lukas Fesser, Melanie Weber
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Statistical Inference for Deep Learning via Stochastic Modeling
Yan Sun, Faming Liang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Domain Randomization via Entropy Maximization
Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone