ICLR 2024 Conference Submissions

From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Bias
Maan Qraitem, Kate Saenko, Bryan A. Plummer
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Visual Prompting Reimagined: The Power of Activation Prompts
Yihua Zhang, Hongkang Li, Yuguang Yao, Aochuan Chen, Shuai Zhang, Pin-Yu Chen, Meng Wang, Sijia Liu
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BLG: BALANCED LANGUAGE DISTRIBUTION AS GUIDANCE FOR ROBUST LONG-TAILED VISION CLASSIFICATION
Zhuo Li, He Zhao, Zhen Li, Dan dan Guo, Xiang Wan
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DreamLLM: Synergistic Multimodal Comprehension and Creation
Runpei Dong, Chunrui Han, Yuang Peng, Zekun Qi, Zheng Ge, Jinrong Yang, Liang Zhao, Jianjian Sun, Hongyu Zhou, Haoran Wei, Xiangwen Kong, Xiangyu Zhang, Kaisheng Ma, Li Yi
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis
Shicheng Liu, Minghui Zhu
- Published: 16 Jan 2024, Last Modified: 25 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Learning to Act from Actionless Videos through Dense Correspondences
Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontanon
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Ensembler: Combating model inversion attacks using model ensemble during collaborative inference
Dancheng Liu, Jinjun Xiong
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Amortizing intractable inference in large language models
Edward J Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Correcting Flaws in Common Disentanglement Metrics
Louis Mahon, Lei Sha, Thomas Lukasiewicz
- 18 Sept 2023 (modified: 06 Aug 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
Harry Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
- Published: 16 Jan 2024, Last Modified: 30 May 2024
- ICLR 2024 poster
- Readers: Everyone
LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Chukwunyere Osi, Prateek Sharma, Fan Chen, Lei Jiang
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Bayesian Low-rank Adaptation for Large Language Models
Adam X. Yang, Maxime Robeyns, Xi Wang, Laurence Aitchison
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
xMLP: Revolutionizing Private Inference with Exclusive Square Activation
Jiajie Li, Jinjun Xiong
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Ricci Curvature, Robustness, and Causal Inference on Networked Data
Amirhossein Farzam, Allen Tannenbaum, Guillermo Sapiro
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D Nowak
- Published: 16 Jan 2024, Last Modified: 03 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Function-space Parameterization of Neural Networks for Sequential Learning
Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
The Expressive Power of Transformers with Chain of Thought
William Merrill, Ashish Sabharwal
- Published: 16 Jan 2024, Last Modified: 11 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation
Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TransFusion: Contrastive Learning with Attention Layers
Huanran Li, Daniel L. Pimentel-Alarcón
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
StyleCL : Latent Dictionary Learning for StyleGAN Without Forgetting
Adarsh Kappiyath, ANMOL GARG, Ramya Hebbalaguppe, Prathosh AP
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Fusion over the Grassmannian for High-Rank Matrix Completion
Jeremy Scott Johnson, Huanran Li, Daniel L. Pimentel-Alarcón
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Scaling Laws for Sparsely-Connected Foundation Models
Elias Frantar, Carlos Riquelme Ruiz, Neil Houlsby, Dan Alistarh, Utku Evci
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Diff-Privacy: Diffusion-based Face Privacy Protection
Xiao He, Mingrui Zhu, Dongxin Chen, Nannan Wang, Xinbo Gao
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone