ICLR

EgoQR: Efficient QR Code Reading in Egocentric Settings

Mohsen Moslehpour, Yichao Lu, Pierce Chuang, Ashish Shenoy, Debojeet Chatterjee, Abhay Harpale, Srihari Jayakumar, Vikas Bhardwaj, Seonghyeon Nam, Anuj Kumar

Comments Submitted to ICLR 2025

CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding

Eslam Abdelrahman, Mohamed Ayman, Mahmoud Ahmed, Habib Slim, Mohamed Elhoseiny

Comments ICLR 2024

Aligners: Decoupling LLMs and Alignment

Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin

Comments Short version accepted as a Tiny Paper at the International Conference on Learning Representations (ICLR) 2024. Long version accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024 Findings

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation

Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang

Comments ICLR 2024

Stochastic Sampling from Deterministic Flow Models

Saurabh Singh, Ian Fischer

Comments Submitted to ICLR 2025

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao

Comments The 12th International Conference on Learning Representations (ICLR 2024)

Long-Term Fairness with Unknown Dynamics

Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu

Comments Best paper runner-up at ICLR 2023 Workshop on Trustworthy and Reliable Large-Scale Machine Learning Models (Non Archival)

Journal ref Advances in Neural Information Processing Systems 36 (NeurIPS 2023)

On the universality of neural encodings in CNNs

Florentin Guth, Brice Ménard

Comments Appeared at the ICLR 2024 Workshop on Representational Alignment (Re-Align), 13 pages, 5 figures

CausalVE: Face Video Privacy Encryption via Causal Video Prediction

Yubo Huang, Wenhao Feng, Xin Lai, Zixi Wang, Jingzehua Xu, Shuai Zhang, Hongjie He, Fan Chen

Comments Submitted to ICLR 2025

Privacy-preserving machine learning for healthcare: open challenges and future perspectives

Alejandro Guerra-Manzanares, L. Julian Lechuga Lopez, Michail Maniatakos, Farah E. Shamout

Comments ICLR 2023 Workshop on Trustworthy Machine Learning for Healthcare (TML4H)

Journal ref Trustworthy Machine Learning for Healthcare. TML4H 2023. Lecture Notes in Computer Science, vol 13932

OWL: A Large Language Model for IT Operations

Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, Xu Shi, Tieqiao Zheng, Liangfan Zheng, Bo Zhang, Ke Xu, Zhoujun Li

Comments ICLR 2024

Diffusion Models For Multi-Modal Generative Modeling

Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng

Comments Published as a conference paper at ICLR 2024

Region Mixup

Saptarshi Saha, Utpal Garain

Comments Published as a Tiny Paper at ICLR 2024

Journal ref The Second Tiny Papers Track at ICLR 2024

On The Specialization of Neural Modules

Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe

Comments The Eleventh International Conference on Learning Representations 2023

Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Zhiyuan Li, Hong Liu, Denny Zhou, Tengyu Ma

Comments 38 pages, 10 figures. Accepted by ICLR 2024

Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation

Ameya Daigavane, Song Kim, Mario Geiger, Tess Smidt

Comments Published at ICLR 2024

Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces

Fabian Akkerman, Julius Luy, Wouter van Heeswijk, Maximilian Schiffer

Comments ICLR 2024 Camera ready version. https://openreview.net/forum?id=80wh3jjCZf

Journal ref International Conference on Learning Representations 2024

High-resolution Multi-spectral Image Guided DEM Super-resolution using Sinkhorn Regularized Adversarial Network

Subhajit Paul, Ashutosh Gupta

Comments 15 pages, 14 figures

Journal ref ICLR 2024 Machine learning for Remote Sensing (ML4RS) Workshop

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Renrui Zhang, Jiaming Han, Chris Liu, Peng Gao, Aojun Zhou, Xiangfei Hu, Shilin Yan, Pan Lu, Hongsheng Li, Yu Qiao

Comments Accepted by ICLR 2024. Code is available at https://github.com/OpenGVLab/LLaMA-Adapter

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning

Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona J. Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi

Comments ICLR 2024 version , 31 pages

Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models

Yupan Huang, Zaiqiao Meng, Fangyu Liu, Yixuan Su, Nigel Collier, Yutong Lu

Comments ICLR 2024 Workshop (Navigating and Addressing Data Problems for Foundation Models)

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo

Comments Accepted by the 12th International Conference on Learning Representations (ICLR 2024)

S-Agents: Self-organizing Agents in Open-ended Environments

Jiaqi Chen, Yuxian Jiang, Jiachen Lu, Li Zhang

Comments ICLR 2024 Workshop on Large Language Model (LLM) Agents

On the Over-Memorization During Natural, Robust and Catastrophic Overfitting

Runqi Lin, Chaojian Yu, Bo Han, Tongliang Liu

Comments Accepted by ICLR 2024

Federated Composite Saddle Point Optimization

Site Bai, Brian Bullins

Journal ref ICLR 2024: https://openreview.net/forum?id=kklwv4c4dI

Enabling Language Models to Implicitly Learn Self-Improvement

Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji

Comments Accepted at ICLR 2024. 28 pages, 5 figures, 4 tables

Data Alignment for Zero-Shot Concept Generation in Dermatology AI

Soham Gadgil, Mahtab Bigverdi

Comments Accepted as a workshop paper to ICLR 2024

Estimating Conditional Mutual Information for Dynamic Feature Selection

Soham Gadgil, Ian Covert, Su-In Lee

Comments Accepted as a conference paper to ICLR 2024

Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers

Oren Mangoubi, Nisheeth K. Vishnoi

Comments The conference version of this paper appears in ICLR 2024

Less is More: Fewer Interpretable Region via Submodular Subset Selection

Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao

Comments Accepted to ICLR 2024 (Oral)