ICLR 2024 Conference Submissions

ViP: A Differentially Private Foundation Model for Computer Vision
Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
NeuralMatrix: Compute the Entire Neural Networks with Linear Matrix Operations for Efficient Inference
Ruiqi Sun, Jie Zhao, Yiran Li, Xin He, An Zou
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Uncovering Time-Invariant Latent Representation for Brain Disorder Diagnosis via Self-Supervised Learning
Yanwu Yang, Chenfei Ye, Ting Ma
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
MiniLLM: Knowledge Distillation of Large Language Models
Yuxian Gu, Li Dong, Furu Wei, Minlie Huang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
HYBRID GRANULARITY DISTRIBUTION ESTIMATION FOR FEW-SHOT LEARNING: STATISTICS TRANSFER FROM CATEGORIES AND INSTANCES
Xingyu Zhu, Shuo Wang, Yi Tan, Yanbin Hao, Xiangnan He
- 20 Sept 2023 (modified: 16 Aug 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Spatio-Temporal Graph Learning with Large Language Model
Qianru Zhang, Xubin Ren, Lianghao Xia, Siu Ming Yiu, Chao Huang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FourierAugment: Frequency-Based Image Encoding for Resource-Constrained Vision Tasks
Jiae Yoon, Myeongjin Lee, Ue-Hwan Kim
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
Kai Huang, Hanyun Yin, Heng Huang, Wei Gao
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Enabling Model Parallelism for Neural Networks Based on Decoupled Supervised Contrastive Learning
Ming-Yao Ho, Cheng-Kai Wang, Hung-Hsuan Chen
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
The importance of feature preprocessing for differentially private linear optimization
Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Maximizing Benefits under Harm Constraints: A Generalized Linear Contextual Bandit Approach
Yingchao Zhou, Jia Liu, Zhengyuan Zhu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Point Cloud Completion with Landau Distribution: A Probabilistic View
Fangzhou Lin, Songlin Hou, Haotian Liu, Haoying Zhou, Xuechu Yu, Kazunori Yamada, Ziming Zhang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Deep graph kernel point processes
Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unified Human-Scene Interaction via Prompted Chain-of-Contacts
Zeqi Xiao, Tai Wang, Jingbo Wang, Jinkun Cao, Wenwei Zhang, Bo Dai, Dahua Lin, Jiangmiao Pang
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dan dan Guo, Yi Chang
- Published: 16 Jan 2024, Last Modified: 22 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
Peng Chen, Yingying ZHANG, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational Autoencoder
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bridging the gap between offline and online continual learning
Yaqian Zhang, Eibe Frank, Bernhard Pfahringer, Albert Bifet
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Jailbreaking Language Models at Scale via Persona Modulation
Rusheb Shah, Quentin Feuillade Montixi, Soroush Pour, Arush Tagade, Javier Rando
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Jianqi Chen, Hao Chen, Keyan Chen, Yilan Zhang, Zhengxia Zou, Zhenwei Shi
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
QIUHAO Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang
- Published: 16 Jan 2024, Last Modified: 18 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
DivKnowQA: Verifying the Reasoning Ability of LLM Through Open-Domain Question Answering Over Knowledge Base and Text
Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Tree Cross Attention
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone