ICLR

Oh! We Freeze: Improving Quantized Knowledge Distillation via Signal Propagation Analysis for Large Language Models

Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Kyunggeun Lee, Jun Ma, Harris Teague

Comments Accepted at Practical ML for Low Resource Settings Workshop at ICLR 2024

Predicting Species Occurrence Patterns from Partial Observations

Hager Radi Abdelwahed, Mélisande Teng, David Rolnick

Comments Tackling Climate Change with Machine Learning workshop at ICLR 2024

When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings

Azmine Toushik Wasi, Šerbetar Karlo, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae

Comments 7 pages, 2 figures, 5 tables, Accepted (invited to present) to the The Second Tiny Papers Track at ICLR 2024 (https://openreview.net/forum?id=VUYCyH8fCw)

Journal ref The Second Tiny Papers Track at {ICLR} 2024, Tiny Papers @ {ICLR} 2024, Vienna Austria, May 11, 2024

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond

Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang

Comments ICLR 2024

Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models

Thomas P. Zollo, Todd Morrill, Zhun Deng, Jake C. Snell, Toniann Pitassi, Richard Zemel

Comments 34 pages, 10 figures, published as conference paper at ICLR 2024, and accepted to the Socially Responsible Language Modelling Research (SoLaR) workshop at NeurIPS 2023

LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading

Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya

Comments ICLR 2024

Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach

Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng

Comments ICLR 2024 Camera Ready (https://openreview.net/pdf?id=K2c04ulKXn)

Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment

Li Siyao, Tianpei Gu, Zhitao Yang, Zhengyu Lin, Ziwei Liu, Henghui Ding, Lei Yang, Chen Change Loy

Comments ICLR 2024

Nonlinear model reduction for operator learning

Hamidreza Eivazi, Stefan Wittek, Andreas Rausch

Comments Published as a Tiny Paper at ICLR 2024 (Notable)

FRESCO: Federated Reinforcement Energy System for Cooperative Optimization

Nicolas Mauricio Cuadrado, Roberto Alejandro Gutierrez, Martin Takáč

Comments Tiny Paper at ICLR 2023

Generalized Policy Learning for Smart Grids: FL TRPO Approach

Yunxiang Li, Nicolas Mauricio Cuadrado, Samuel Horváth, Martin Takáč

Comments ICLR 2024 Workshop: Tackling Climate Change with Machine Learning

Global Vegetation Modeling with Pre-Trained Weather Transformers

Pascal Janetzky, Florian Gallusser, Simon Hentschel, Andreas Hotho, Anna Krause

Comments Tackling Climate Change with Machine Learning Workshop @ ICLR 2024

Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization

Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu

Comments ICLR 2024

Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives

Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan

Comments ICLR 2024 SpotLight

Learning to Act without Actions

Dominik Schmidt, Minqi Jiang

Comments Accepted at ICLR 2024 (spotlight). The code can be found at http://github.com/schmidtdominik/LAPO

The Need for Speed: Pruning Transformers with One Recipe

Samir Khaki, Konstantinos N. Plataniotis

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

Noise2Noise Denoising of CRISM Hyperspectral Data

Robert Platt, Rossella Arcucci, Cédric M. John

Comments 5 pages, 3 figures. Accepted as a conference paper at the ICLR 2024 ML4RS Workshop

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer

Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, Chang-Seung Woo, Ilho Kim, Seok-Woo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park

Comments Accepted at ICLR 2024

Domain Randomization via Entropy Maximization

Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki

Comments Published as a conference paper at ICLR 2024. Project website at https://gabrieletiboni.github.io/doraemon/

Generative Pre-training for Speech with Flow Matching

Alexander H. Liu, Matt Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu

Comments ICLR 2024

Context-Aware Meta-Learning

Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Re, Sebastian Thrun

Comments ICLR 2024

Entropy-MCMC: Sampling from Flat Basins with Ease

Bolian Li, Ruqi Zhang

Journal ref ICLR 2024

Probabilistically Rewired Message-Passing Neural Networks

Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris

Comments ICLR 2024

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher

Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu

Comments Accepted by ICLR 2024. 21 pages, 3 figures, 13 tables

Graph Generation with $K^2$-trees

Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

Comments International Conference on Learning Representations (ICLR) 2024

Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach

Zhiwei Fang, Sifan Wang, Paris Perdikaris

Journal ref ICLR 2024

Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs

Aakash Lahoti, Stefani Karp, Ezra Winston, Aarti Singh, Yuanzhi Li

Comments 40 pages, 4 figures, Accepted to ICLR 2024, Spotlight

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

Yuxuan Song, Jingjing Gong, Yanru Qu, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma

Comments ICLR 2024

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

Rene Winchenbach, Nils Thuerey

Comments Published at International Conference on Learning Representation (ICLR) 2024, 54 pages, 39 figures

Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data

Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee

Comments ICLR Workshop 2024 (PML4LRS)