ICLR 2024 Conference Submissions

Investigating Human-Identifiable Features Hidden in Adversarial Perturbations
Dennis Yuren Menn, Tzu-hsun Feng, Sriram Vishwanath, Hung-yi Lee
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sp-R-IP: A Decision-Focused Learning Strategy for Linear Programs that Avoids Overfitting
Ruben Smets, Mihaly Dolanyi, Jean-François Toubeau, Kenneth Bruninx, Erik Delarue
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Causal Discovery with Unobserved Variables: A Proxy Variable Approach
Mingzhou Liu, Xinwei Sun, Yu QIAO, Yizhou Wang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CICD-Coder: Chinese EMRs Based ICD Coding With Multi-axial Supported Clinical Evidence
心心尤
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Gradient norm as a powerful proxy to out-of-distribution error estimation
RENCHUNZI XIE, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Measuring Information in Text Explanations
Zining Zhu, Frank Rudzicz
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Neural Network Performance with Leader-Follower Architecture and Local Error Signals
Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Anzhe Cheng, Shahin Nazarian, Andrei Irimia, Paul Bogdan
- 22 Sept 2023 (modified: 16 Oct 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
Hongjun Wang, Sagar Vaze, Kai Han
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Adversarially Robust and Privacy-Preserving Representation Learning via Information Theory
Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DIA: Diffusion based Inverse Network Attack on Collaborative Inference
Dake Chen, Shiduo Li, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter Anthony Beerel
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
Xinyang Liu, Dongsheng Wang, Miaoge Li, Bowei Fang, Yishi Xu, Zhibin Duan, Bo Chen, Mingyuan Zhou
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rotation-Equivariance and Position Encodings for Enhancing Local Descriptors
Shuai Su, Qijun Chen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Enhancing Adversarial Robustness on Categorical Data via Attribution Smoothing
Yujun Zhou, Yufei Han, Hongyan Bao, Xiangliang Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning --- A Physics-Constrained Approach to Markov Decision Processes
Chengyang Huang, Siddhartha Srivastava, Xun Huan, Krishna Garikipati
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
Hang Yin, Zihao Wang, Yangqiu Song
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Shadow Cones: A Generalized Framework for Partial Order Embeddings
Tao Yu, Toni J.B. Liu, Albert Tseng, Christopher De Sa
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Regulating Imbalanced Deep Models with User-Specified Metrics
Yuqi Liu, Bin Cao, JING FAN
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Neural Active Learning Beyond Bandits
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
- Published: 16 Jan 2024, Last Modified: 18 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Structure-Rich Text Benchmark for Knowledge Inference Evaluation
Haoning Ye, Zhouhong Gu, Zeyang Zhou, Sihang Jiang, Hongwei Feng, Yanghua Xiao
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Quantized Local Independence Discovery for Fine-Grained Causal Dynamics Learning in Reinforcement Learning
Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
Yanbang Wang, Jon Kleinberg
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Longhui Yu, Weisen Jiang, Han Shi, Jincheng YU, Zhengying Liu, Yu Zhang, James Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance
Yuyao Zhang, Lan Wei, Nikolaos Freris
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone