ICLR 2024 Conference Submissions

Benchmarking Multivariate Time Series Anomaly Detection with Large-Scale Real-World Datasets
Chaoli Zhang, Yingying ZHANG, Qingsong Wen, Lanshu Peng, Yiyuan Yang, Chongjiong Fan, Minqi Jiang, Lunting Fan, Liang Sun
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations
Yujee Song, Donghyun LEE, Rui Meng, Won Hwa Kim
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Unsupervised Order Learning
Seon-Ho Lee, Nyeong-Ho Shin, Chang-Su Kim
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
ResolvNet: A Graph Convolutional Network with multi-scale Consistency
Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Daniel Cremers
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CRL-NET: ACCELERATED MAGNETIC RESONANCE IMAGING RECONSTRUCTION THROUGH COIL REPRESENTATION LEARNING
Omer Cahana, Maya Herman, Ofer Levi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Making Pre-trained Language Models Great on Tabular Prediction
Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Chen, Jimeng Sun, Jian Wu, Jintai Chen
- Published: 16 Jan 2024, Last Modified: 17 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities
Kangfu Mei, Mo Zhou, Vishal M. Patel
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Vision-free Baseline for Multimodal Grammar Induction
Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge Belongie, Kilian Q Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Domain Prompt Matters a Lot in Multi-Source Few-Shot Domain Adaptation
Hang Yu, Cheng Jin, Yonggang Zhang, Xiaofeng Cao, Zhen Fang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Transferable Deep Clustering Model
Zheng Zhang, Liang Zhao
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SSCBench: Monocular 3D Semantic Scene Completion Benchmark in Street Views
Yiming Li, Sihang Li, Xinhao Liu, Moonjun Gong, Kenan Li, Nuo Chen, Zijun Wang, Zhiheng Li, Tao Jiang, Fisher Yu, Yue Wang, Hang Zhao, Zhiding Yu, Chen Feng
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation
Hoyong Kim, Kangil Kim
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Linear Attention via Orthogonal Memory
Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sequential Bayesian Continual Learning with Meta-Learned Neural Networks
Soochan Lee, Hyeonseong Jeon, Jaehyeon Son, Gunhee Kim
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FreeLM: Fine-Tuning-Free Language Model
Xiang Li, Xin Jiang, Xuezhi Fang, Yiqun Yao, Xuying Meng, Aixin Sun, Yequan Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4
Jiaxian Guo, Bo Yang, Paul Yoo, Bill Yuchen Lin, Yusuke Iwasawa, Yutaka Matsuo
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning
Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
pFedSAM: Secure Federated Learning Against Backdoor Attacks via Personalized Sharpness-Aware Minimization
Zhenxiao Zhang, Yuanxiong Guo, Yanmin Gong
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Enhanced Model-agnostic Training of Deep Tabular Generation Models
Jayoung Kim, Noseong Park
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Parsimonious Demonstrations and Fine-Tuning for Large Language Models
Jiarui Jin, Yuwei Wu, Mengyue Yang, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Learning to Branch with Offline Reinforcement Learning
Shengyu Feng, Yiming Yang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Polynomial-based Self-Attention for Table Representation learning
Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Interpreting Reward Models in RLHF-Tuned Language Models Using Sparse Autoencoders
Luke Marks, Amir Abdullah, Luna Mendez, Rauno Arike, Philip Torr, Fazl Barez
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng YAN, Wei Tsang Ooi, Michael Qizhe Xie, Junxian He
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone