ICLR

Neurosymbolic Grounding for Compositional World Models

Atharva Sehgal, Arya Grayeli, Jennifer J. Sun, Swarat Chaudhuri

Comments Uploading ICLR,2024 Camera Ready Version

Procedural Fairness Through Decoupling Objectionable Data Generating Components

Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang

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

Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost

Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma

Comments Accepted to ICLR 2024

Journal ref International Conference on Learning Representations (ICLR), 2024

The Effect of Model Size on LLM Post-hoc Explainability via LIME

Henning Heyen, Amy Widdicombe, Noah Y. Siegel, Maria Perez-Ortiz, Philip Treleaven

Comments Published at ICLR 2024 Workshop on Secure and Trustworthy Large Language Models

StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning

Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang

Comments Accepted by ICLR 2024

T-Rep: Representation Learning for Time Series using Time-Embeddings

Archibald Fraikin, Adrien Bennetot, Stéphanie Allassonnière

Comments Accepted at ICLR 2024

Fusing Models with Complementary Expertise

Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric Xing, Mikhail Yurochkin

Comments This paper was published at ICLR 2024

In-context Autoencoder for Context Compression in a Large Language Model

Tao Ge, Jing Hu, Lei Wang, Xun Wang, Si-Qing Chen, Furu Wei

Comments v4: Final camera ready for ICLR'24

Toward Student-Oriented Teacher Network Training For Knowledge Distillation

Chengyu Dong, Liyuan Liu, Jingbo Shang

Comments ICLR 2024; poster link https://drive.google.com/file/d/1K7OWk95cOVhXpTbvrjO8wn9783Wu0Ag4/view?usp=sharing

NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks

Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth McMillan, Risto Miikkulainen

Comments Paper has been accepted by ICLR'24

Designing Skill-Compatible AI: Methodologies and Frameworks in Chess

Karim Hamade, Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson

Comments 18 pages, 5 figures, 15 tables, Published In The Twelfth International Conference on Learning Representations, ICLR 2024

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective

Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He

Comments ICLR 2024

Correlated Noise Provably Beats Independent Noise for Differentially Private Learning

Christopher A. Choquette-Choo, Krishnamurthy Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta

Comments Christopher A. Choquette-Choo, Krishnamurthy Dvijotham, and Krishna Pillutla contributed equally

Journal ref ICLR 2024

Emu: Generative Pretraining in Multimodality

Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang

Comments Accepted to ICLR 2024. Code and Models: https://github.com/baaivision/Emu

A Study of Bayesian Neural Network Surrogates for Bayesian Optimization

Yucen Lily Li, Tim G. J. Rudner, Andrew Gordon Wilson

Comments ICLR 2024. Code available at https://github.com/yucenli/bnn-bo

An intuitive multi-frequency feature representation for SO(3)-equivariant networks

Dongwon Son, Jaehyung Kim, Sanghyeon Son, Beomjoon Kim

Comments ICLR 2024

The Curse of Diversity in Ensemble-Based Exploration

Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron Courville

Comments Published as a conference paper at ICLR 2024

Select to Perfect: Imitating desired behavior from large multi-agent data

Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Foerster, Joao Henriques

Comments ICLR 2024

sc-OTGM: Single-Cell Perturbation Modeling by Solving Optimal Mass Transport on the Manifold of Gaussian Mixtures

Andac Demir, Elizaveta Solovyeva, James Boylan, Mei Xiao, Fabrizio Serluca, Sebastian Hoersch, Jeremy Jenkins, Murthy Devarakonda, Bulent Kiziltan

Comments ICLR 2024, Machine Learning for Genomics Explorations Workshop

Deep Reinforcement Learning for Modelling Protein Complexes

Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li

Comments International Conference on Learning Representations (ICLR 2024)

Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming

Yongquan Qu, Mohamed Aziz Bhouri, Pierre Gentine

Comments Accepted at ICLR 2024 Workshop on AI4Differential Equations in Science

Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders

Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum

Comments ICLR 2024

Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer

Xingyu Liu, Deepak Pathak, Ding Zhao

Comments ICLR 2024

Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning

Stone Tao, Arth Shukla, Tse-kai Chan, Hao Su

Comments Accepted at The Twelfth International Conference on Learning Representations (ICLR 2024). Website: https://reverseforward-cl.github.io/

Frozen Transformers in Language Models Are Effective Visual Encoder Layers

Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang

Comments ICLR 2024 Spotlight. 23 pages, 13 figures. Code at https://github.com/ziqipang/LM4VisualEncoding

Circuit Component Reuse Across Tasks in Transformer Language Models

Jack Merullo, Carsten Eickhoff, Ellie Pavlick

Comments Accepted at ICLR 2024

Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods

Sara Klein, Simon Weissmann, Leif Döring

Comments 54 pages, 2 figures, ICLR 2024

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih

Comments v4: ICLR 2024 camera-ready version

ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis

Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton

Comments ICLR 2024

DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation

Yukun Huang, Jianan Wang, Yukai Shi, Boshi Tang, Xianbiao Qi, Lei Zhang

Comments ICLR 2024