ICLR

Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation

Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding

Comments ICLR 2023

Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RL

Baiting Zhu, Meihua Dang, Aditya Grover

Comments Published in ICLR 2023

Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward

Zihan Zhou, Animesh Garg

Comments published as a conference paper at ICLR 2023

Neural Radiance Field Codebooks

Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi

Comments 19 pages, 8 figures, 9 tables

Journal ref International Conference on Learning Representations 2023

Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation

Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong

Comments ICLR 2023 camera-ready version. Website: http://lfzhao.com/IDPlan

Integrating Symmetry into Differentiable Planning with Steerable Convolutions

Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong

Comments ICLR 2023 camera-ready version. Original name = "Integrating Symmetry into Differentiable Planning". Website: http://lfzhao.com/SymPlan

Strategic Classification with Graph Neural Networks

Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld

Comments ICLR 2023

IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters

Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson

Comments ICLR 2023, RTML Workshop paper. For the source code, based on the requests for academic research and kindness to cite our work, we will release and maintain it in https://github.com/XinshaoAmosWang/DeepCriticalLearning

Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Daniel Y. Fu, Tri Dao, Khaled K. Saab, Armin W. Thomas, Atri Rudra, Christopher Ré

Comments ICLR 2023 Camera-Ready (Notable-top-25% / Spotlight)

Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs

George Pu, Anirudh Jain, Jihan Yin, Russell Kaplan

Comments Short paper, ICLR '23 Workshop on Understanding Foundation Models

Hyperparameter Optimization through Neural Network Partitioning

Bruno Mlodozeniec, Matthias Reisser, Christos Louizos

Comments Published as a conference paper at ICLR 2023

An Adaptive Policy to Employ Sharpness-Aware Minimization

Weisen Jiang, Hansi Yang, Yu Zhang, James Kwok

Comments Accepted by ICLR 2023

Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks

Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G. Bellemare

Comments ICLR 2023. Code and models are available at https://github.com/google-research/google-research/tree/master/pvn 22 pages, 8 figures

Minimalistic Unsupervised Learning with the Sparse Manifold Transform

Yubei Chen, Zeyu Yun, Yi Ma, Bruno Olshausen, Yann LeCun

Comments This paper is published at ICLR 2023

Journal ref The Eleventh International Conference on Learning Representations (2023)

Learning Soft Constraints From Constrained Expert Demonstrations

Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart

Comments ICLR 2023 camera ready version (incl. supplementary material)

Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers

Johannes Zenn, Robert Bamler

Comments 8 pages, invited to present at ICLR 2023 as a Tiny Paper

Programmatically Grounded, Compositionally Generalizable Robotic Manipulation

Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao

Comments ICLR 2023 camera-ready

ChatGPT is all you need to decolonize sub-Saharan Vocational Education

Isidora Tourni, Georgios Grigorakis, Isidoros Marougkas, Konstantinos Dafnis, Vassiliki Tassopoulou

Comments Accepted in the ICLR 2023 Workshop: Practical Machine Learning for Developing Countries: learning under limited/low resource scenarios

Astroformer: More Data Might not be all you need for Classification

Rishit Dagli

Comments 21 pages, 7 figures. ICLR 2023

Beyond calibration: estimating the grouping loss of modern neural networks

Alexandre Perez-Lebel, Marine Le Morvan, Gaël Varoquaux

Journal ref ICLR 2023 -- The Eleventh International Conference on Learning Representations, May 2023, Kigali, Rwanda

Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks

Charles Jin, Melinda Sun, Martin Rinard

Comments ICLR 2023. Code is available at https://github.com/charlesjin/compatibility_clustering/

A Control-Centric Benchmark for Video Prediction

Stephen Tian, Chelsea Finn, Jiajun Wu

Comments ICLR 2023

Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models

Dominik Honegger, Konstantin Schürholt, Damian Borth

Comments Accepted at ICLR 2023 Workshop on Sparsity in Neural Networks

DiffMimic: Efficient Motion Mimicking with Differentiable Physics

Jiawei Ren, Cunjun Yu, Siwei Chen, Xiao Ma, Liang Pan, Ziwei Liu

Comments ICLR 2023 Code is at https://github.com/jiawei-ren/diffmimic Project page is at https://diffmimic.github.io/

Language Modelling with Pixels

Phillip Rust, Jonas F. Lotz, Emanuele Bugliarello, Elizabeth Salesky, Miryam de Lhoneux, Desmond Elliott

Comments ICLR 2023

N2G: A Scalable Approach for Quantifying Interpretable Neuron Representations in Large Language Models

Alex Foote, Neel Nanda, Esben Kran, Ionnis Konstas, Fazl Barez

Comments To be published at ICLR 2023 Workshop on Trustworthy and Reliable Large-Scale Machine Learning Models

GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation

Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang

Comments Accepted by ICLR 2023. Project Page: chenhongyiyang.com/projects/GPViT/GPViT. Code: https://github.com/ChenhongyiYang/GPViT

Sound Randomized Smoothing in Floating-Point Arithmetics

Václav Voráček, Matthias Hein

Comments Accepted ICLR 2023

Masked Frequency Modeling for Self-Supervised Visual Pre-Training

Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy

Comments ICLR 2023. Project page: https://www.mmlab-ntu.com/project/mfm/index.html Code: https://github.com/Jiahao000/MFM

The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium

Ian Gemp, Charlie Chen, Brian McWilliams

Comments Published in ICLR 2023 (JAX code available as part of github.com/deepmind/eigengame)