ICLR

Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, Yang You

Comments First lossless dataset distillation method, accepted by ICLR 2024

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks

Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo

Comments Accepted by International Conference on Learning Representations (ICLR 2024); 26 Pages, 12 figures

Compressing LLMs: The Truth is Rarely Pure and Never Simple

Ajay Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang

Comments Accepted to ICLR 2024

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao

Comments Accepted by ICLR 2024

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning

Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio

Comments ICLR 2024 Camera-Ready

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo

Comments ICLR 2024 Camera Ready

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts

Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang

Comments Accepted by ICLR 2024

Neural Architecture Retrieval

Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu

Comments ICLR 2024

The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks

Aaron Spieler, Nasim Rahaman, Georg Martius, Bernhard Schölkopf, Anna Levina

Comments 25 pages, 14 figures, 13 tables, additional experiments and clarifications, accepted to ICLR 2024

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi

Comments The paper is accepted by ICLR 2024. The code is publicly available at https://github.com/MiaoXiong2320/llm-uncertainty

MOFI: Learning Image Representations from Noisy Entity Annotated Images

Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Zhe Gan, Yinfei Yang

Comments Accepted to ICLR 2024

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo

Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli

Comments Published in The Twelfth International Conference on Learning Representations (ICLR) 2024

Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction

Tung Le, Khai Nguyen, Shanlin Sun, Kun Han, Nhat Ho, Xiaohui Xie

Comments Accepted by ICLR 2024

Expressive Losses for Verified Robustness via Convex Combinations

Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio

Comments ICLR 2024

LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation

Suhyeon Lee, Won Jun Kim, Jinho Chang, Jong Chul Ye

Comments 21 pages, 8 figures; ICLR 2024 (poster)

Tag2Text: Guiding Vision-Language Model via Image Tagging

Xinyu Huang, Youcai Zhang, Jinyu Ma, Weiwei Tian, Rui Feng, Yuejie Zhang, Yaqian Li, Yandong Guo, Lei Zhang

Comments Accepted by ICLR 2024

Magnushammer: A Transformer-Based Approach to Premise Selection

Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Qiaochu Jiang, Jin Peng Zhou, Christian Szegedy, Łukasz Kuciński, Piotr Miłoś, Yuhuai Wu

Comments ICLR 2024

Improving Domain Generalization with Domain Relations

Huaxiu Yao, Xinyu Yang, Xinyi Pan, Shengchao Liu, Pang Wei Koh, Chelsea Finn

Comments Accepted by ICLR 2024 (Spotlight)

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation

Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà

Comments ICLR 2024 oral presentation. Demo page: https://gladia-research-group.github.io/multi-source-diffusion-models/

Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection

Stefano B. Blumberg, Paddy J. Slator, Daniel C. Alexander

Comments Accepted In: International Conference on Learning Representations (ICLR) 2024

Function-space Parameterization of Neural Networks for Sequential Learning

Aidan Scannell, Riccardo Mereu, Paul Chang, Ella Tamir, Joni Pajarinen, Arno Solin

Comments 29 pages, 8 figures, Published in The Twelfth International Conference on Learning Representations

SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation

Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon

Comments ICLR 2024. Code: https://github.com/shinyflight/SFDA2

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference

Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar

Comments Published in The Twelfth International Conference on Learning Representations (ICLR). Copyright 2024 by the author(s)

Horizon-Free Regret for Linear Markov Decision Processes

Zihan Zhang, Jason D. Lee, Yuxin Chen, Simon S. Du

Comments Published as a conference paper in ICLR 2024

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian

Comments International Conference on Learning Representations (ICLR) 2024

Retrieval is Accurate Generation

Bowen Cao, Deng Cai, Leyang Cui, Xuxin Cheng, Wei Bi, Yuexian Zou, Shuming Shi

Comments ICLR 2024

Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D

Haojie Huang, Owen Howell, Dian Wang, Xupeng Zhu, Robin Walters, Robert Platt

Comments ICLR 2024

Inherently Interpretable Time Series Classification via Multiple Instance Learning

Joseph Early, Gavin KC Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey

Comments Published at ICLR 2024. 29 pages (9 main, 3 ref, 17 appendix)

IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models

Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter Tu, Richard Hartley

Comments Published as a conference paper at ICLR 2024

Perceptual Scales Predicted by Fisher Information Metrics

Jonathan Vacher, Pascal Mamassian

Comments 15 pages, 6 figures, 7 appendix

Journal ref The Twelfth International Conference on Learning Representations. 2024