ICLR

Faraday: Synthetic Smart Meter Generator for the smart grid

Sheng Chai, Gus Chadney

Comments Published as a workshop paper at Tackling Climate Change with Machine Learning, ICLR 2024

Polynormer: Polynomial-Expressive Graph Transformer in Linear Time

Chenhui Deng, Zichao Yue, Zhiru Zhang

Comments Published as a conference paper at International Conference on Learning Representations (ICLR) 2024

f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization

Sina Baharlouei, Shivam Patel, Meisam Razaviyayn

Comments 24 Pages,5 figures

Journal ref ICLR 2024

QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models

Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang

Comments ICLR 2024 camera ready; Code is available at https://github.com/ziplab/QLLM and https://github.com/ModelTC/QLLM

Efficient Streaming Language Models with Attention Sinks

Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis

Comments ICLR 2024

Masked Structural Growth for 2x Faster Language Model Pre-training

Yiqun Yao, Zheng Zhang, Jing Li, Yequan Wang

Comments ICLR 2024 camera ready

Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning

Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai

Comments camera ready version of ICLR 2023

Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Components

Johannes Exenberger, Matteo Di Salvo, Thomas Hirsch, Franz Wotawa, Gerald Schweiger

Comments Published at ICLR 2024 Tackling Climate Change with Machine Learning Workshop

VoltaVision: A Transfer Learning model for electronic component classification

Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Salekul Islam

Comments Tiny Paper at ICLR 2024

OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views

Francis Engelmann, Fabian Manhardt, Michael Niemeyer, Keisuke Tateno, Marc Pollefeys, Federico Tombari

Comments ICLR 2024, Project page: https://opennerf.github.io

Journal ref ICLR 2024

Enabling Clean Energy Resilience with Machine Learning-Empowered Underground Hydrogen Storage

Alvaro Carbonero, Shaowen Mao, Mohamed Mehana

Comments 10 pages, 4 figures, accepted proposal track paper at ICLR CCAI workshop

Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting

Busra Asan, Abdullah Akgül, Alper Unal, Melih Kandemir, Gozde Unal

Comments Accepted as a workshop paper at "ICLR 2024 Tackling Climate Change with Machine Learning"

Cameras as Rays: Pose Estimation via Ray Diffusion

Jason Y. Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani

Comments In ICLR 2024 (oral). v2-3: updated references. Project webpage: https://jasonyzhang.com/RayDiffusion

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu

Comments Accepted by ICLR 2024 as a Spotlight paper

Decoding Natural Images from EEG for Object Recognition

Yonghao Song, Bingchuan Liu, Xiang Li, Nanlin Shi, Yijun Wang, Xiaorong Gao

Comments ICLR, 2024

Generating Images with 3D Annotations Using Diffusion Models

Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Xiaoding Yuan, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan Yuille

Comments ICLR 2024 Spotlight. Code: https://ccvl.jhu.edu/3D-DST/

Stable Anisotropic Regularization

William Rudman, Carsten Eickhoff

Comments Camera-ready version for ICLR 2024

CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech

Jaehyeon Kim, Keon Lee, Seungjun Chung, Jaewoong Cho

Comments ICLR 2024

Task Agnostic Architecture for Algorithm Induction via Implicit Composition

Sahil J. Sindhi, Ignas Budvytis

Comments 12 pages, 2 figures, 2024 ICLR Generative Models for Decision Making Workshop

Masked Completion via Structured Diffusion with White-Box Transformers

Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong Yu, Yi Ma

Comments To be published at ICLR 2024; 44 pages. arXiv admin note: substantial text overlap with arXiv:2311.13110

Hallucination Benchmark in Medical Visual Question Answering

Jinge Wu, Yunsoo Kim, Honghan Wu

Comments Accepted to ICLR 2024 Tiny Papers(Notable)

Towards Codable Watermarking for Injecting Multi-bits Information to LLMs

Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun

Comments ICLR 2024 poster

Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces

Omer Nahum, Gali Noti, David Parkes, Nir Rosenfeld

Comments Accepted to ICLR 2024 poster

Collapse of Self-trained Language Models

David Herel, Tomas Mikolov

Comments ICLR 2024

Language-Informed Visual Concept Learning

Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu

Comments ICLR 2024. The first two authors contributed equally and are alphabetically ordered. Project page: https://ai.stanford.edu/~yzzhang/projects/concept-axes/

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models

Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dvijotham, Jinwoo Shin, Kimin Lee

Comments ICLR 2024

Global Mapping of Exposure and Physical Vulnerability Dynamics in Least Developed Countries using Remote Sensing and Machine Learning

Joshua Dimasaka, Christian Geiß, Emily So

Comments This is the camera-ready paper for the accepted poster at the 2nd Machine Learning for Remote Sensing Workshop, 12th International Conference on Learning Representations (ICLR) in Vienna, Austria, on the 11th of May 2024. Access the poster here: https://zenodo.org/doi/10.5281/zenodo.10903886 Watch the video version of our poster here: https://youtu.be/N6ithJeCF4M

Weakly-supervised Audio Separation via Bi-modal Semantic Similarity

Tanvir Mahmud, Saeed Amizadeh, Kazuhito Koishida, Diana Marculescu

Comments Tech report. Accepted in ICLR-2024

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Stephanie Fu, Mark Hamilton, Laura Brandt, Axel Feldman, Zhoutong Zhang, William T. Freeman

Comments Accepted to the International Conference on Learning Representations (ICLR) 2024

Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records

Yingbo Ma, Suraj Kolla, Dhruv Kaliraman, Victoria Nolan, Zhenhong Hu, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel

Comments ICLR 2024 Workshop on Learning From Time Series for Health. 10 pages, 3 figures