ICLR 2024 Conference Submissions

Wasserstein Distortion: Unifying fidelity and realism
Yang Qiu, Aaron B. Wagner, Johannes Ballé, Lucas Theis
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Beyond the training set: an intuitive method for detecting distribution shift in model-based optimization
Farhan Damani, David H Brookes, Theodore Sternlieb, Cameron Webster, Stephen Malina, Rishi Jajoo, Kathy Lin, Sam Sinai
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
GraphPulse: Topological representations for temporal graph property prediction
Kiarash Shamsi, Farimah Poursafaei, Shenyang Huang, Bao Tran Gia Ngo, Baris Coskunuzer, Cuneyt Gurcan Akcora
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation
Kunlin Cai, Jinghuai Zhang, William Shand, Zhiqing Hong, Guang Wang, Desheng Zhang, Jianfeng Chi, Yuan Tian
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SEESAW: Do Graph Neural Networks Improve Node Representation Learning for All?
Yushun Dong, William Shiao, Yozen Liu, Jundong Li, Neil Shah, Tong Zhao
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Efficient Low-Rank Diffusion Model Training for Text-to-Image Generation
Xuehai He, Jacob Zhiyuan Fang, Jian Zheng, Robinson Piramuthu, Mohit Bansal, Vicente Ordonez, Gunnar A Sigurdsson, Nanyun Peng, Xin Eric Wang
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SCOT: Improved Temporal Counterfactual Estimation with Self-Supervised Learning
Chuizheng Meng, Yihe Dong, Sercan O Arik, Yan Liu, Tomas Pfister
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Potential Based Diffusion Motion Planning
Yunhao Luo, Chen Sun, Joshua B. Tenenbaum, Yilun Du
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MOTSC: Model-based Offline Traffic Signal Control
Yicheng Liu, Chumeng Liang, Zherui Huang, Guanjie Zheng
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding Pathologies of Deep Heteroskedastic Regression
Eliot Wong-Toi, Alex James Boyd, Vincent Fortuin, Stephan Mandt
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Musketeer: Joint Training/Inference for Multi-task Vision-Language Model with Task Explanation Prompts
Zhaoyang Zhang, Yantao Shen, Kunyu Shi, Zhaowei Cai, Jun Fang, Siqi Deng, Hao Yang, Davide Modolo, Zhuowen Tu, Stefano Soatto
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Guided Decoupled Exploration for Offline Reinforcement Learning Fine-tuning
Yuwei Fu, Di Wu, Benoit Boulet
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploiting Open-World Data for Adaptive Continual Learning
Xuwei Tan, Tian Xie, Zhiqun Zuo, Xueru Zhang
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Collaborative Perspective on Exploration in Reinforcement Learning
Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources
Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer
Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Yan Gao, Pedro Porto Buarque de Gusmao, Nicholas Donald Lane
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
Jadie Adams, Shireen Elhabian
- Published: 16 Jan 2024, Last Modified: 28 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Compressed Online Sinkhorn
Fengpei Wang, Clarice Poon, Tony Shardlow
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
WL-Tree: a New Tool for Analyzing Graph Neural Networks
Liping Liu, Jiaxing He, Jacob Boerma, Xiaohui Chen
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PRIME: Prioritizing Interpretability in Failure Mode Extraction
Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models
Christian Horvat, Jean-Pascal Pfister
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
Dana Arad, Hadas Orgad, Yonatan Belinkov
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone