ICLR 2024 Conference Submissions

Llamas Know What GPTs Don't Show: Surrogate Models for Selective Classification
Vaishnavi Shrivastava, Percy Liang, Ananya Kumar
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference
Chencheng Cai, Xu Zhang, Edoardo Airoldi
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Framework Adapts PLMs towards Target Domain via Correcting Knowledge Bias
Noriaki Kawamae
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
Daniel Y Fu, Hermann Kumbong, Eric Nguyen, Christopher Re
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Understanding The Winner-Take-Most Behavior Of Neural Network Representations
Gilles Peiffer, Simon Carbonnelle, Christophe De Vleeschouwer
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SHINE: Shielding Backdoors in Deep Reinforcement Learning
Wenbo Guo, Zhuowen Yuan, Jinyuan Jia, Bo Li, Dawn Song
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Semi-Supervised Learning of Tree-Based Models Using Uncertain Interpretation of Data
Jack Henry Good, Shyla Bisht, Kyle Miller, Artur Dubrawski
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Parameter-Efficient Tuning Helps Language Model Alignment
Tianci Xue, Ziqi Wang, Heng Ji
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
MIMIC: Masked Image Modeling with Image Correspondences
Kalyani Marathe, Mahtab Bigverdi, Nishat Anjum Khan, Tuhin Kundu, Aniruddha Kembhavi, Linda Shapiro, Ranjay Krishna
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Transformer-VQ: Linear-Time Transformers via Vector Quantization
Lucas Dax Lingle
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Can adversarial samples benefit few-shot unsupervised implicit neural shape representation learning ?
Amine Ouasfi, Adnane Boukhayma
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Understanding Contrastive Learning Through the Lens of Margins
Daniel Rho, Taesoo Kim, Sooill Park, Jaehyun Park, Jaehan Park
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Efficient Model-Agnostic Multi-Group Equivariant Networks
Razan Baltaji, Sourya Basu, Lav R. Varshney
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Initializing the Layer-wise Learning Rate
Kwang Yong Shin, Suhyun Kim, Soo-Mook Moon
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Relational Convolutional Networks: A framework for learning representations of hierarchical relations
Awni Altabaa, John Lafferty
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How does overparametrization affect features?
Ahmet Cagri Duzgun, Samy Jelassi, Yuanzhi Li
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Re
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Understanding and Robustifying Sub-domain Alignment for Domain Adaptation
Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David Carlson
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
Awni Altabaa, Taylor Whittington Webb, Jonathan D. Cohen, John Lafferty
- Published: 16 Jan 2024, Last Modified: 12 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Estimating uncertainty from feed-forward network based sensing using quasilinear approximation
Songhan Zhang, Matthew Singh, ShiNung Ching
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SOLVING SCHRODINGER BRIDGE PROBLEM VIA STOCHASTIC ACTION MINIMIZATION
Mykola Bordyuh, Daniel Wong, Robert Moccia, Djork-Arné Clevert
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Training Diffusion Models with Reinforcement Learning
Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
- Published: 16 Jan 2024, Last Modified: 09 Apr 2024
- ICLR 2024 poster
- Readers: Everyone