ICLR

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He

Comments Accepted by ICLR 2023

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong

Comments ICLR 2023 camera ready with 23 pages

Visually-Augmented Language Modeling

Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei

Comments ICLR 2023

Fast Sampling of Diffusion Models with Exponential Integrator

Qinsheng Zhang, Yongxin Chen

Comments iclr camera ready,https://github.com/qsh-zh/deis

Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics

Takeshi Koshizuka, Issei Sato

Comments Published at ICLR 2023 (notable top 25%)

MCAL: Minimum Cost Human-Machine Active Labeling

Hang Qiu, Krishna Chintalapudi, Ramesh Govindan

Comments ICLR 2023

Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes

Christian Haase, Christoph Hertrich, Georg Loho

Comments ICLR 2023 conference paper

Towards Stable Test-Time Adaptation in Dynamic Wild World

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan

Comments accepted by International Conference on Learning Representations (ICLR) 2023 as Notable-Top-5%; 27 pages, 10 figures, 18 tables

When Source-Free Domain Adaptation Meets Learning with Noisy Labels

Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, A. Ian McLeod, Boyu Wang

Comments ICLR 2023 camera-ready

F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models

Weicheng Kuo, Yin Cui, Xiuye Gu, AJ Piergiovanni, Anelia Angelova

Comments Accepted to ICLR 2023 (https://iclr.cc/Conferences/2023). 20 pages, 7 figures

Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus

Gang Li, Yang Li

Comments Published as a conference paper at ICLR 2023

ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation

Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu

Comments ICLR 2023 spotlight

Breaking Correlation Shift via Conditional Invariant Regularizer

Mingyang Yi, Ruoyu Wang, Jiachen Sun, Zhenguo Li, Zhi-Ming Ma

Comments Published in ICLR-2023

Federated Nearest Neighbor Machine Translation

Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen

Comments ICLR 2023

Simple and Scalable Nearest Neighbor Machine Translation

Yuhan Dai, Zhirui Zhang, Qiuzhi Liu, Qu Cui, Weihua Li, Yichao Du, Tong Xu

Comments ICLR 2023

Does Deep Learning Learn to Abstract? A Systematic Probing Framework

Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou

Comments ICLR 2023

A framework for benchmarking class-out-of-distribution detection and its application to ImageNet

Ido Galil, Mohammed Dabbah, Ran El-Yaniv

Comments Published in ICLR 2023. arXiv admin note: text overlap with arXiv:2206.02152

Journal ref International Conference on Learning Representations (2023)

What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers

Ido Galil, Mohammed Dabbah, Ran El-Yaniv

Comments Published in ICLR 2023. arXiv admin note: substantial text overlap with arXiv:2206.02152

Journal ref International Conference on Learning Representations (2023)

Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement

Chongyi Li, Chun-Le Guo, Man Zhou, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, Chen Change Loy

Comments Porject page: https://li-chongyi.github.io/UHDFour

Journal ref ICLR 2023 (Oral)

Unsupervised 3D Object Learning through Neuron Activity aware Plasticity

Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay

Comments Published as a conference paper at ICLR 2023

simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing

Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Weiqi Luo

Comments Accepted at ICLR'23: The 11th International Conference on Learning Representations, 2023

Scaling Laws For Deep Learning Based Image Reconstruction

Tobit Klug, Reinhard Heckel

Journal ref Published as a conference paper at ICLR 2023

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning

Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon

Comments ICLR 2023

Robustness to corruption in pre-trained Bayesian neural networks

Xi Wang, Laurence Aitchison

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

Disparate Impact in Differential Privacy from Gradient Misalignment

Maria S. Esipova, Atiyeh Ashari Ghomi, Yaqiao Luo, Jesse C. Cresswell

Comments ICLR 2023 notable top 25%, https://openreview.net/forum?id=qLOaeRvteqbx. Our code is available at https://github.com/layer6ai-labs/fair-dp

Words are all you need? Language as an approximation for human similarity judgments

Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby

Comments Accepted to ICLR 2023, final revision. https://openreview.net/forum?id=O-G91-4cMdv

Predictor-corrector algorithms for stochastic optimization under gradual distribution shift

Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun

Comments Accepted in ICLR 2023

Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic

Zijun Wu, Zi Xuan Zhang, Atharva Naik, Zhijian Mei, Mauajama Firdaus, Lili Mou

Comments Accepted by ICLR 2023

Task-Aware Information Routing from Common Representation Space in Lifelong Learning

Prashant Bhat, Bahram Zonooz, Elahe Arani

Comments Accepted as a conference paper at ICLR 2023

Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

Comments Accepted as a conference paper at ICLR 2023