ICLR 2023 Conference Submissions

Learning from Labeled Images and Unlabeled Videos for Video Segmentation
Cristina Mata, Michael S Ryoo
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
- Published: 01 Feb 2023, Last Modified: 27 Apr 2025
- ICLR 2023 notable top 25%
- Readers: Everyone
Faster federated optimization under second-order similarity
Ahmed Khaled, Chi Jin
- Published: 01 Feb 2023, Last Modified: 28 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
A Quasistatic Derivation of Optimization Algorithms' Exploration on Minima Manifolds
Chao Ma, Daniel Kunin, Lexing Ying
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Mutual Partial Label Learning with Competitive Label Noise
Yan Yan, Yuhong Guo
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
The Graph Learning Attention Mechanism: Learnable Sparsification Without Heuristics
Mattson Thieme, Yada Zhu, Han Liu
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
Yan Yan, Yuhong Guo
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Why Self Attention is Natural for Sequence-to-Sequence Problems? A Perspective from Symmetries
Chao Ma, Lexing Ying
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Weiqi Luo
- Published: 01 Feb 2023, Last Modified: 27 Apr 2025
- ICLR 2023 poster
- Readers: Everyone
Exp-$\alpha$: Beyond Proportional Aggregation in Federated Learning
Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Sayan Ghosh, Peter Vajda, Anqi Wu, Zsolt Kira
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Learning Efficient Hybrid Particle-continuum Representations of Non-equilibrium N-body Systems
Tailin Wu, Michael Sun, H.G. Jason Chou, Pranay Samala, Sithipont Cholsaipant, Sophia Kivelson, Jacqueline Yau, Zhitao Ying, E. Paulo Alves, Jure Leskovec, Frederico Fiuza
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Neural Network Approximation of Lipschitz Functions in High Dimensions with Applications to Inverse Problems
Santhosh Karnik, Rongrong Wang, Mark Iwen
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Weighted Ensemble Self-Supervised Learning
Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
- Published: 01 Feb 2023, Last Modified: 27 Apr 2025
- ICLR 2023 poster
- Readers: Everyone
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
Fan Chen, Yu Bai, Song Mei
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 notable top 25%
- Readers: Everyone
Bias Amplification Improves Worst-Group Accuracy without Group Information
Gaotang Li, Jiarui Liu, Wei Hu
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Actionable Recourse Guided by User Preference
Jayanth Yetukuri, Ian Hardy, Yang Liu
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Large Learning Rate Matters for Non-Convex Optimization
Amirkeivan Mohtashami, Martin Jaggi, Sebastian U Stich
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
A Deep Learning Framework for Musical Acoustics Simulations
Jiafeng Chen, George Hagopian, Kıvanç Tatar, Victor Zappi
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Domain Generalization via Heckman-type Selection Models
Hyungu Kahng, Hyungrok Do, Judy Zhong
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 notable top 25%
- Readers: Everyone
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi
- Published: 01 Feb 2023, Last Modified: 27 Apr 2025
- ICLR 2023 notable top 5%
- Readers: Everyone
Guiding Safe Exploration with Weakest Preconditions
Greg Anderson, Swarat Chaudhuri, Isil Dillig
- Published: 01 Feb 2023, Last Modified: 27 Apr 2025
- ICLR 2023 poster
- Readers: Everyone
MetaMD: Principled Optimiser Meta-Learning for Deep Learning
Boyan Gao, Henry Gouk, Jan Stuehmer, Massimiliano Pontil, Timothy Hospedales
- Published: 01 Feb 2023, Last Modified: 28 Feb 2025
- Submitted to ICLR 2023
- Readers: Everyone
A Sample Based Method for Understanding The Decisions of Neural Networks Semantically
Ohi Dibua, Jonathan Mbuya, Mackenzie Austin, Kushal Kafle
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction
Lin Qiu, Aminollah Khormali, Kai Liu
- Published: 01 Feb 2023, Last Modified: 27 Apr 2025
- Submitted to ICLR 2023
- Readers: Everyone
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin
- Published: 01 Feb 2023, Last Modified: 13 Apr 2023
- ICLR 2023 notable top 25%
- Readers: Everyone