ICLR 2024 Conference Submissions

Enriching Time Series Representation: Integrating a Noise-Resilient Sampling Strategy with an Efficient Encoder Architecture
Anh Duy Nguyen, Trang H. Tran, Hieu Pham, Phi Le Nguyen, Lam M. Nguyen
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards Certified Probabilistic Robustness with High Accuracy
Ruihan Zhang, Peixin Zhang, Jun Sun
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning
Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MetaTST: Essential Transformer Components for Time Series Analysis
Baofeng Zhang, Shenda Hong, Chenxi Sun, Hongyan Li
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models
Ziyang Yuan, Mingdeng Cao, Xintao Wang, Zhongang Qi, Chun Yuan, Ying Shan
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Ophiuchus: Scalable Modeling of Protein Structures through Hierarchical Coarse-graining SO(3)-Equivariant Autoencoders
Allan Dos Santos Costa, Ilan Mitnikov, Mario Geiger, Manvitha p Ponnapati, Tess Smidt, JOSEPH JACOBSON
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
Sunghyeon Woo, Sunwoo Lee, Dongsuk Jeon
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Listen to Motion: Robustly Learning Correlated Audio-Visual Representations
Zehan Wang, Xize Cheng, Li Tang, Luping Liu, Yang Zhao, Tao Jin, Chengfei Cai, WANG HongFa, Wei Liu, Zhou Zhao
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FedHC: Proximal Correction with Hessian and Cosine Correlation for Federated Learning
Kushall Pal Singh, Monu Verma, Santosh Kumar Vipparthi, Subrahmanyam Murala, G Sankara Raju Kosuru, Dinesh Kumar Tyagi, Mohamed Abdel-mottaleb
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
One Forward is Enough for Neural Network Training via Likelihood Ratio Method
Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Reconstruction as Sequence for Efficient Unified Unsupervised Anomaly Detection
Hui-Yue Yang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
B$^{3}$CT: Three-branch Coordinated Training for Domain Adaptive Semantic Segmentation
Chen Liang, Jian Jia, Junyan Wang, Jianlong Yuan, Xin Zhao, Weihua Chen
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Framework for Inference Inspired by Human Memory Mechanisms
Xiangyu Zeng, Jie Lin, Piao Hu, Ruizheng Huang, Zhicheng Zhang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
LLM Performance Predictors are good initializers for Architecture Search
Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Dujian Ding
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Extending Multi-modal Contrastive Representations
Zehan Wang, Ziang Zhang, Luping Liu, Yang Zhao, Haifeng Huang, Tao Jin, Zhou Zhao
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Counterfactual Density Estimation using Kernel Stein Discrepancies
Diego Martinez-Taboada, Edward Kennedy
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Vision Transformers Need Registers
Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
- Published: 16 Jan 2024, Last Modified: 12 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
Multilingual Visual Speech Recognition with a Single Model using Visual Speech Unit
Minsu Kim, Jeonghun Yeo, Jeongsoo Choi, Se Jin Park, Yong Man Ro
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Joint Training Does Not Transfer Information between EEG and Image Classifiers
Hari Bharadwaj, Ronnie Bring Wilbur, Jeffrey Mark Siskind
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning
Roy Rinberg, Ilia Shumailov, Rachel Cummings, Nicolas Papernot
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Analysis of a class of stochastic component-wise soft-clipping schemes
Måns Williamson, Tony Stillfjord, Monika Eisenmann
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Does Writing with Language Models Reduce Content Diversity?
Vishakh Padmakumar, He He
- Published: 16 Jan 2024, Last Modified: 06 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates
Camille Olivia Little, Debolina Halder Lina, Genevera I. Allen
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes
Zehan Wang, Haifeng Huang, Yang Zhao, Ziang Zhang, Tao Jin, Zhou Zhao
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone