ICLR

Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased

Chao Yu, Jiaxuan Gao, Weilin Liu, Botian Xu, Hao Tang, Jiaqi Yang, Yu Wang, Yi Wu

Comments The first two authors share equal contributions. This paper is accepted by ICLR 2023

Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation

Jie Yang, Ailing Zeng, Shilong Liu, Feng Li, Ruimao Zhang, Lei Zhang

Comments Accepted to ICLR 2023

Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin

Comments Published as a conference paper at ICLR 2023

Energy-Inspired Self-Supervised Pretraining for Vision Models

Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu

Journal ref ICLR 2023

Variational Latent Branching Model for Off-Policy Evaluation

Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic

Comments Accepted to ICLR 2023

GOOD: Exploring Geometric Cues for Detecting Objects in an Open World

Haiwen Huang, Andreas Geiger, Dan Zhang

Comments Published as a conference paper at ICLR 2023

Accurate Image Restoration with Attention Retractable Transformer

Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan

Comments Accepted to ICLR 2023. Code and models are available at https://github.com/gladzhang/ART

Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function

Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang

Comments ICLR 2023

Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun

Comments 22 pages

Journal ref ICLR 2023

Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training

Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

Comments Accepted at Eleventh International Conference on Learning Representations (ICLR 2023)

Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent

Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang

Journal ref International Conference on Learning Representations (ICLR-2023)

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma

Comments Accepted at ICLR 2023

Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees

Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal

Comments ICLR 2023

Post-hoc Concept Bottleneck Models

Mert Yuksekgonul, Maggie Wang, James Zou

Comments ICLR 2023 Spotlight (notable-top-25%)

Truthful Self-Play

Shohei Ohsawa

Comments Accepted for publication at ICLR 2023

Journal ref The Eleventh International Conference on Learning Representations (ICLR2023)

Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection

Kaifeng Gao, Long Chen, Hanwang Zhang, Jun Xiao, Qianru Sun

Comments accepted by ICLR 2023

Free Lunch for Domain Adversarial Training: Environment Label Smoothing

YiFan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

Comments ICLR 2023, 38 pages, 8 figures, 18 tables

Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity

Deniz Oktay, Mehran Mirramezani, Eder Medina, Ryan P. Adams

Comments ICLR 2023 Spotlight

Reversible Column Networks

Yuxuan Cai, Yizhuang Zhou, Qi Han, Jianjian Sun, Xiangwen Kong, Jun Li, Xiangyu Zhang

Comments Accepted by ICLR 2023

Diffusion-based Image Translation using Disentangled Style and Content Representation

Gihyun Kwon, Jong Chul Ye

Comments ICLR 2023 camera ready

Decompositional Generation Process for Instance-Dependent Partial Label Learning

Congyu Qiao, Ning Xu, Xin Geng

Comments ICLR 2023 Spotlight

Emergence of Maps in the Memories of Blind Navigation Agents

Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra

Comments Accepted to ICLR 2023

Bayes risk CTC: Controllable CTC alignment in Sequence-to-Sequence tasks

Jinchuan Tian, Brian Yan, Jianwei Yu, Chao Weng, Dong Yu, Shinji Watanabe

Journal ref International Conference on Learning Representations (ICLR), 2023

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models

Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan Yuille, Hartwig Adam, Liang-Chieh Chen

Comments ICLR 2023. arXiv v2: add ImageNet-1K-V2, tiny-MOAT on COCO detection and ADE20K segmentation

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie

Comments Accepted by ICLR 2023. Code: https://github.com/microsoft/Semi-supervised-learning

Contrastive Meta-Learning for Partially Observable Few-Shot Learning

Adam Jelley, Amos Storkey, Antreas Antoniou, Sam Devlin

Comments Accepted for publication at ICLR 2023. Code is available at https://github.com/AdamJelley/POEM

FedFA: Federated Feature Augmentation

Tianfei Zhou, Ender Konukoglu

Comments Accepted to ICLR 2023

Massively Scaling Heteroscedastic Classifiers

Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou

Comments Accepted to ICLR 2023

Adversarial Attacks on Adversarial Bandits

Yuzhe Ma, Zhijin Zhou

Comments Accepted by ICLR 2023

Implicit Regularization for Group Sparsity

Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong

Comments accepted by ICLR 2023