ICLR 2024 Conference Submissions

Improving Robustness in Vision Transformers with Nullspace Noise Augmented Finetuning
Haoyang Liu, Aditya Singh, Yijiang Li, Haohan Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DeepROCK: Error-controlled interaction detection in deep neural networks
Winston Chen, William Noble, Yang Young Lu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Subspace Grid-sweep: ML Defense Evaluation via Constrained Brute-force Search
Keane Lucas, Matthew Jagielski, Florian Tramèr, Lujo Bauer, Nicholas Carlini
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Embedding File Structure for Tabular File Preparation
Gerardo Vitagliano, Mazhar Hameed, Alejandro Sierra Múnera, Felix Naumann
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Conditional Guided Diffusion Probabilistic Models for Image Super-Resolution
Bin Xie, Hao Tang, Dawen Cai, Yan Yan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Playing repeated games with Large Language Models
Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
To guide or not to guide: Improving diffusion sampling with progressive guidance
Xi WANG, Nicolas Dufour, Nefeli Andreou, Marie-Paule CANI, Victoria Fernandez Abrevaya, David Picard, Vicky Kalogeiton
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
MixSATGEN: Learning Graph Mixing for SAT Instance Generation
Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Are LLMs Aware that Some Questions are not Open-ended?
Dongjie Yang, hai zhao
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generative Marginalization Models
Sulin Liu, Peter Ramadge, Ryan P Adams
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MeRino: Entropy-driven Design for Mobile-friendly Generative Language Models
Youpeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Where Does In-context Machine Translation Happen in Large Language Models?
Suzanna Sia, David Mueller, Kevin Duh
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Mo' Data Mo' Problems: How Data Composition Compromises Scaling Properties
Judy Hanwen Shen, Inioluwa Deborah Raji, Irene Y. Chen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Peter Bartlett
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Gaussian Process-Based Corruption-resilience Forecasting Models
Sepideh Koohfar, Laura Dietz
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Scalable Monotonic Neural Networks
Hyunho Kim, Jong-Seok Lee
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
Seungcheol Park, Hojun Choi, U Kang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Private Overparameterized Linear Regression without Suffering in High Dimensions
Lingxiao Wang, Difan Zou, Kumar Kshitij Patel, Jingfeng Wu, Nathan Srebro
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking
Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Investigating the chaotic dynamics produced by deep reinforcement learning controllers
Rory Young, Nicolas Pugeault
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone