ICLR 2024 Conference Submissions

Fast Hyperboloid Decision Tree Algorithms
Philippe Chlenski, Ethan Turok, Antonio Khalil Moretti, Itsik Pe'er
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Private Zeroth-Order Nonsmooth Nonconvex Optimization
Qinzi Zhang, Hoang Tran, Ashok Cutkosky
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Approximate Clustering for Extracting Task Relationships in Multi-Instruction Tuning
Dongyue Li, Jinhong Yu, Hongyang R. Zhang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
GeRA: Label-Efficient Geometrically Regularized Alignment
Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
OptiMUS: Optimization Modeling Using mip Solvers and large language models
Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Stochastic Unrolled Federated Learning
Samar Hadou, Navid NaderiAlizadeh, Alejandro Ribeiro
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient VideoMAE via Temporal Progressive Training
Xianhang Li, Peng Wang, Xinyu Li, Heng Wang, Cihang Xie
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning
Shuyang Yu, Junyuan Hong, Yi Zeng, Fei Wang, Ruoxi Jia, Jiayu Zhou
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exact Path Kernels Naturally Decompose Model Predictions
Michael Geyer, Brian Wesley Bell, David Glickenstein, Amanda S Fernandez, Juston Moore
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SCALE: Scaling up the Complexity for Advanced Language Model Evaluation
Vishvaksenan Rasiah, Ronja Stern, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho, Joel Niklaus
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Hong Liu, Zhiyuan Li, David Leo Wright Hall, Percy Liang, Tengyu Ma
- Published: 16 Jan 2024, Last Modified: 09 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
De Novo Drug Design with Joint Transformers
Adam Izdebski, Ewelina Weglarz-Tomczak, Ewa Maria Szczurek, Jakub M. Tomczak
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Conversational Drug Editing Using Retrieval and Domain Feedback
Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Poly-View Contrastive Learning
Amitis Shidani, R Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm
Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Golan Pundak, Pat Rondon, Song Gan, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara N Sainath, Yanzhang He, Pedro Moreno Mengibar
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Probabilistic Framework for Modular Continual Learning
Lazar Valkov, Akash Srivastava, Swarat Chaudhuri, Charles Sutton
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Boundary Denoising for Video Activity Localization
Mengmeng Xu, Mattia Soldan, Jialin Gao, Shuming Liu, Juan-Manuel Perez-Rua, Bernard Ghanem
- Published: 16 Jan 2024, Last Modified: 21 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Few-Shot Detection of Machine-Generated Text using Style Representations
Rafael Alberto Rivera Soto, Kailin Koch, Aleem Khan, Barry Y. Chen, Marcus Bishop, Nicholas Andrews
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Safe and Robust Watermark Injection with a Single OoD Image
Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Massive Editing for Large Language Models via Meta Learning
Chenmien Tan, Ge Zhang, Jie Fu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Real-time learning of decay trajectory of Higgs boson using reservoir-in-reservoir architecture
Ankita Paul, Anup Das
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BrainLM: A foundation model for brain activity recordings
Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed A Rizvi, Matteo Rosati, Christopher Averill, James L Cross, Prateek Mittal, Emanuele Zappala, Rahul Madhav Dhodapkar, Chadi Abdallah, David van Dijk
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
On Sarcasm Detection with OpenAI GPT-based Models
Montgomery Gole, Williams Nwadiugwu, Andriy Miranskyy
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SWE-bench: Can Language Models Resolve Real-world Github Issues?
Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik R Narasimhan
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
A simple connection from loss flatness to compressed representations in neural networks
Shirui Chen, Stefano Recanatesi, Eric Todd SheaBrown
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone