ICLR 2024 Conference Submissions

Interpreting Age Predictions from Brain Maps via Deep Neural Activations and Tensor Decomposition
Claudio Cesar Claros-Olivares, Curtis Johnson, Grace McIlvain, Austin J. Brockmeier
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han, Meisam Razaviyayn, Renyuan Xu
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Missing Data Imputation for Large-Scale Longitudinal Physical Activity Data
Hui Wei, Maxwell Xu, Colin Samplawski, James Matthew Rehg, Santosh Kumar, Benjamin Marlin
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Hybrid Reinforcement Learning for Optimizing Pump Sustainability in Real-World Water Distribution Networks
Harsh Patel, Yuan Zhou, Alexander P Lamb, Shu Wang, Jieliang Luo
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain
Gyutaek Oh, Baekgyu Choi, Inkyung Jung, Jong Chul Ye
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Interpretability Illusions in the Generalization of Simplified Models
Dan Friedman, Andrew Kyle Lampinen, Lucas Dixon, Danqi Chen, Asma Ghandeharioun
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Pipeline Parallelism Optimization with Deep Reinforcement Learning
Hao Lan, Baochun Li, Wenting Wei, Xiaoshan Yu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Batched Low-Rank Adaptation of Foundation Models
Yeming Wen, Swarat Chaudhuri
- Published: 16 Jan 2024, Last Modified: 28 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
ToolTalk: Evaluating Tool Usage in a Conversational Setting
Nicholas Charles Farn, Richard Shin
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Investigating the effective dimensionality of a model using a thermodynamic learning capacity
Daiwei Chen, WEI-KAI CHANG, Pratik Chaudhari
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HyperFields: Towards Zero-Shot Generation of NeRFs from Text
Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
Annie S Chen, Govind Chada, Laura Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An Invex Relaxation Approach for Minimizing Polarization from Fully and Partially Observed Initial Opinions
Meher Chaitanya, Adarsh Barik, Mansi Rankawat, Jean Honorio
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning
Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning
Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Evaluating Adversarial Defense in the Era of Large Language Models
Joachim Studnia, Simiao Zuo, Xiaodong Liu, Qiang Lou, Jian Jiao
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Deep Generalized Prediction Set Classifier and Its Theoretical Guarantees
Zhou Wang, Xingye Qiao
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Outlier-Robust Orthogonal Regression on Manifolds
Tianjiao Ding, Liangzu Peng, Rene Vidal
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Does resistance to style-transfer equal Shape Bias? Evaluating shape bias by distorted shape
Ziqi Wen, Tianqin Li, Tai Sing Lee
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
Brian DuSell, David Chiang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Discovering Divergences between Language Models and Human Brains
Yuchen Zhou, Emmy Liu, Graham Neubig, Leila Wehbe
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Soft Merging of Experts with Adaptive Routing
Mohammed Muqeeth, Haokun Liu, Colin Raffel
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Debiasing Attention Mechanism in Transformer without Demographics
Shenyu Lu, Yipei Wang, Xiaoqian Wang
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods
Emanuele Zappala, Daniel Levine, Sizhuang He, Syed A Rizvi, Sacha Lévy, David van Dijk
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone