ICLR

Robust Scheduling with GFlowNets

David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan

Comments Published at International Conference on Learning Representations (ICLR) 2023; an earlier version appeared at the NeurIPS 2022 workshop ML4Systems

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong

Comments ICLR 2023 camera ready

Plateau in Monotonic Linear Interpolation -- A "Biased" View of Loss Landscape for Deep Networks

Xiang Wang, Annie N. Wang, Mo Zhou, Rong Ge

Comments ICLR 2023

The Role of ImageNet Classes in Fréchet Inception Distance

Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen

Comments ICLR 2023 camera ready. Code: https://github.com/kynkaat/role-of-imagenet-classes-in-fid

Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning

Zehao Niu, Mihai Anitescu, Jie Chen

Comments ICLR 2023. Code is available at https://github.com/niuzehao/gnn-gp

Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play

Jeremiah Zhe Liu, Krishnamurthy Dj Dvijotham, Jihyeon Lee, Quan Yuan, Martin Strobel, Balaji Lakshminarayanan, Deepak Ramachandran

Comments Accepted to ICLR 2023. Included additional contribution from Martin Strobel

How to prepare your task head for finetuning

Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland

Journal ref ICLR 2023

Visual Imitation Learning with Patch Rewards

Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu

Comments Accepted by ICLR 2023. 18 pages, 14 figures, 2 tables. Codes are available at https://github.com/sail-sg/PatchAIL

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi Jaakkola

Comments International Conference on Learning Representations (ICLR 2023)

Vision Transformer Adapter for Dense Predictions

Zhe Chen, Yuchen Duan, Wenhai Wang, Junjun He, Tong Lu, Jifeng Dai, Yu Qiao

Comments Accepted to ICLR 2023

CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition

Sumyeong Ahn, Jongwoo Ko, Se-Young Yun

Comments ICLR'23 Spotlight, 23 pages

DAG Learning on the Permutahedron

Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae

Comments The Eleventh International Conference on Learning Representations

Mitigating Dataset Bias by Using Per-sample Gradient

Sumyeong Ahn, Seongyoon Kim, Se-young Yun

Comments Accepted at ICLR'23

Deep Learning on Implicit Neural Representations of Shapes

Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano

Comments Accepted at ICLR 2023

Long-Tailed Partial Label Learning via Dynamic Rebalancing

Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang

Comments ICLR 2023

EVC: Towards Real-Time Neural Image Compression with Mask Decay

Guo-Hua Wang, Jiahao Li, Bin Li, Yan Lu

Comments Accepted by ICLR 2023. Codes are at https://github.com/microsoft/DCVC

The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry

Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt

Comments Published at ICLR 2023, notable top 25% (Spotlight)

Improving Object-centric Learning with Query Optimization

Baoxiong Jia, Yu Liu, Siyuan Huang

Comments Published as a conference paper at ICLR 2023

PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang

Comments ICLR 2023, Spotlight

Latent State Marginalization as a Low-cost Approach for Improving Exploration

Dinghuai Zhang, Aaron Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen

Comments Accepted by ICLR 2023

More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization

Jiangxing Wang, Deheng Ye, Zongqing Lu

Comments ICLR 2023

Squeeze Training for Adversarial Robustness

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Comments Accepted by ICLR 2023

Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks

Guangji Bai, Chen Ling, Liang Zhao

Comments Published in ICLR 2023 (Oral)

Trading Information between Latents in Hierarchical Variational Autoencoders

Tim Z. Xiao, Robert Bamler

Comments Accepted for ICLR 2023; 9 pages + appendix

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

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su

Comments Published as a conference paper at ICLR 2023. Project website: https://maniskill2.github.io/

Dual Algorithmic Reasoning

Danilo Numeroso, Davide Bacciu, Petar Veličković

Comments To appear at ICLR 2023. 16 pages, 9 figures

Disentangling Learning Representations with Density Estimation

Eric Yeats, Frank Liu, Hai Li

Comments Accepted to ICLR 2023; Code available: https://github.com/ericyeats/gcae-disentanglement

Short-Term Memory Convolutions

Grzegorz Stefański, Krzysztof Arendt, Paweł Daniluk, Bartłomiej Jasik, Artur Szumaczuk

Comments ICLR 2023

Sparse Random Networks for Communication-Efficient Federated Learning

Berivan Isik, Francesco Pase, Deniz Gunduz, Tsachy Weissman, Michele Zorzi

Comments Published at the International Conference on Learning Representations (ICLR) 2023

$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games

Yuepeng Yang, Cong Ma

Comments Accepted to ICLR 2023