ICLR 2024 Conference Submissions

Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
Quyen Tran, Tung Lam Tran, Khoat Than, Toan Tran, Dinh Phung, Trung Le
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Continual Knowledge Graph Link Prediction: Beyond Experience Replay
Han Wu, Jie Yin, Thang D Bui, Balakanapathy Rajaratnam
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DeepEMD: A Transformer-based Fast Estimation of the Earth Mover’s Distance
Atul Kumar Sinha, François Fleuret
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Qile Zhou, Han-Jia Ye, Leye Wang, De-Chuan Zhan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Do Generated Data Always Help Contrastive Learning?
Yifei Wang, Jizhe Zhang, Yisen Wang
- Published: 16 Jan 2024, Last Modified: 27 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Going Deeper with General and Specific Inductive Bias for Real-Time Stereo Matching
Renjie Ding, Yaonan Wang, Min Liu, Jiazheng Wang, zhe zhang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Machine Learning for PROTAC Engineering
Stefano Ribes, Eva Nittinger, Christian Tyrchan, Rocío Mercado
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Balance Beam: adaptive computation for affordable training and inference with high-throughput offloading for LLMs
Yiqi Zhang, Yang You
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Self-Supervised Pseudodata Filtering for Improved Replay with Sub-Optimal Generators
Mateusz Wasiluk, Mikkel Elle Lepperød, Kai Olav Ellefsen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Global Interaction Efficiency of Graph Networks
Mingqi Yang, Bryan Hooi, Wenjie Feng, Bin Ji, Yi Bin, Yanming Shen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Blending Imitation and Reinforcement Learning for Robust Policy Improvement
Xuefeng Liu, Takuma Yoneda, Rick Stevens, Matthew Walter, Yuxin Chen
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning
Prashant Shivaram Bhat, Bharath Chennamkulam Renjith, Bahram Zonooz, Elahe Arani
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Graphical Object-Centric Actor-Critic
Leonid Anatolievich Ugadiarov, Vitaliy Vorobyov, Aleksandr Panov
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploring Weight Balancing on Long-Tailed Recognition Problem
Naoya Hasegawa, Issei Sato
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Zero Bubble (Almost) Pipeline Parallelism
Penghui Qi, Xinyi Wan, Guangxing Huang, Min Lin
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes
Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Effective Offline Environment Reconstruction when the Dataset is Collected from Diversified Behavior Policies
Yihao Sun, Xiong-Hui Chen, Ruifeng Chen, Siyuan Xiao, Minhui Li, Yang Yu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
You Only Submit One Image to Find the Most Suitable Generative Model
Zhi Zhou, Lan-Zhe Guo, Pengxiao Song, Yu-Feng Li
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learn to Achieve Out-of-the-Box Imitation Ability from Only One Demonstration
Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Revisiting Ternary Neural Networks towards Asymmetric Thresholds and Uniform Distribution
Zhenhua Liu, Kai Han, Yunhe Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Object-Centric Representation via Reverse Hierarchy Guidance
Junhong Zou, Xiangyu Zhu, Zhaoxiang Zhang, Zhen Lei
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LASER: Linear Compression in Wireless Distributed Optimization
Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael Gastpar
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Why Clean Generalization and Robust Overfitting Both Happen in Adversarial Training
Binghui Li, Yuanzhi Li
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone