ICLR 2024 Conference Submissions

Fast Conditional Intervention in Algorithmic Recourse with Reinforcement Learning
Chiung-Yu Chang, Keng-Te Liao, Mi-Yen Yeh, Shou-De Lin
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Training graph backward compatible embeddings
Daniil Bondarev, Dmitrii Kiselev
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
DreamFuser: Value-guided Diffusion Policy for Offline Reinforcement Learning
Kairong Luo, CAIWEI XIAO, Zhiao Huang, Zhan Ling, Yunhao Fang, Hao Su
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
2D-Supervised Monocular 3D Object Detection by Global-to-Local Reconstruction
Jiawei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems
Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yizhou Sun, Wei Wang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Large Language Reasoning through Multi-Modal Reasoning
Yixin He, Simin Chen, Xinya Du, Cong Liu, Wei Yang
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Post-Training Recovery from Injected Bias with Self-Influence
Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sung-Yub Kim, Eunho Yang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Feature Selection in the Presence of Monotone Batch Effects
Peng Dai, Sina Baharlouei, Taojian Tu, Bangyan L. Stiles, Meisam Razaviyayn, Sze-Chuan Suen
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Misusing Tools in Large Language Models With Visual Adversarial Examples
Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FedLoRA: When Personalized Federated Learning Meets Low-Rank Adaptation
Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
Wonho Bae, Jing Wang, Danica J. Sutherland
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Neural Sandbox Framework for Discovering Spurious Concpets in LLM Decisions
Mostafa Mushsharat, Nabeel Mohammed, Mohammad Ruhul Amin
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
From Random to Relevant: Harnessing Salient Masks in Non-IID Federated Learning
Riyasat Ohib, Bishal Thapaliya, Jingyu Liu, Vince Calhoun, Sergey Plis
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MedJourney: Counterfactual Medical Image Generation by Instruction-Learning from Multimodal Patient Journeys
Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bayesian Coreset Optimization for Personalized Federated Learning
Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Fooling the Textual Fooler via Randomizing Latent Representations
Duy Cao Hoang, Nguyen Hung-Quang, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D Doan
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Supervision for Free: Enhancing Depth Estimation for Ground Robots Based on Supervision from Mono Camera Model Parameters
Praveen Praveen Kamasani, Jinchang Zhang, Xue Iuan Wong, Guoyu Lu
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
In-context Autoencoder for Context Compression in a Large Language Model
Tao Ge, Hu Jing, Lei Wang, Xun Wang, Si-Qing Chen, Furu Wei
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang
- Published: 16 Jan 2024, Last Modified: 09 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Implicit Neural Representation Image Codec with Mixed Context for Fast Decoding
Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Shu-Tao Xia
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DECOUPLING REASONING FROM OBSERVATIONS FOR EFFICIENT AUGMENTED LANGUAGE MODELS
Binfeng Xu, Zhiyuan PENG, Bowen Lei, Subhabrata Mukherjee, Dongkuan Xu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multimarginal Generative Modeling with Stochastic Interpolants
Michael Samuel Albergo, Nicholas Matthew Boffi, Michael Lindsey, Eric Vanden-Eijnden
- Published: 16 Jan 2024, Last Modified: 19 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Neural Bounds on Bayes Error: Advancing Classification and Generative Models
Mohammadreza Tavasoli Naeini
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Proving Test Set Contamination in Black-Box Language Models
Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori Hashimoto
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 oral
- Readers: Everyone