ICLR 2024 Conference Submissions

G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System
Lixia Wu, Jianlin Liu, Junhong Lou, Haoyuan Hu, Jianbin Zheng, Haomin Wen, Chao Song, shu He
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BooookScore: A systematic exploration of book-length summarization in the era of LLMs
Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
Value-Evolutionary-Based Reinforcement Learning
Pengyi Li, Jianye HAO, Hongyao Tang, YAN ZHENG, Fazl Barez
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael Huang, Tong Geng
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
OpenReviewer: Mitigating Challenges in LLM Reviewing
Keith Tyser, Jason Lee, Avi Shporer, Madeleine Udell, Dov Te'eni, Iddo Drori
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Transformer-Based Large Language Models Are Not General Learners: A Universal Circuit Perspective
Yang Chen, Yitao Liang, Zhouchen Lin
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Posterior Sampling via Langevin Monte Carlo for Offline Reinforcement Learning
Thanh Nguyen-Tang, Ming Yin, Masatoshi Uehara, Yu-Xiang Wang, Mengdi Wang, Raman Arora
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Point Cloud Matching for 3D Geometric Shape Assembly
Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
From Deterministic to Probabilistic World: Balancing Enhanced Doubly Robust Learning for Debiased Recommendation
Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Min Zhang, Xu Chen, Xiao-Hua Zhou
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FLOOD SIMULATION WITH PHYSICS-INFORMED MESSAGE PASSING
Arnold Kazadi, James Doss-Gollin, Arlei Lopes da Silva
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
Shiguang Wu, Yaqing Wang, quanming yao
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Provable Repair of Vision Transformers: Last Layer is All You Need
Stephanie Nawas, Zhe Tao, Aditya Thakur
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LLMZip: Lossless Text Compression using Large Language Models
Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan, Dileep Kalathil, Jean-Francois Chamberland, Srinivas Shakkottai
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
VMFTransformer: An Angle-Preserving and Auto-Scaling Machine for Multi-horizon Probabilistic Forecasting
Yunyi Zhou, Zhixuan Chu, Ruohan Gao, Xinping Zheng, Yuchen Huang, Sheng Li
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong, Ji-Rong Wen
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Data Debugging with Shapley Importance over Machine Learning Pipelines
Bojan Karlaš, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
MoAT: Multi-Modal Augmented Time Series Forecasting
Geon Lee, Wenchao Yu, Wei Cheng, Haifeng Chen
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
Mikhail Khodak, Edmond Chow, Maria Florina Balcan, Ameet Talwalkar
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Group Robustness via Adaptive Class-Specific Scaling
Seonguk Seo, Bohyung Han
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CT++: Complementary Co-Training for Semi-Supervised Semantic Segmentation
Lihe Yang, Zhen Zhao, Xiaogang Xu, Yu Qiao, Yinghuan Shi, Hengshuang Zhao
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards Better Evaluation of GNN Expressiveness with BREC Dataset
Yanbo Wang, Muhan Zhang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Causal Feature Attribution: Towards a Trustworthy and Actionable Explanations of Deep Neural Network
Zhixuan Chu, Mengxuan Hu, Siqiao Xue, Qing Cui, Longfei Li, Sheng Li
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch
Shengbang Tong, Yubei Chen, Yi Ma, Yann LeCun
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone