ICLR 2023 Conference Submissions

Binding Language Models in Symbolic Languages
Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- ICLR 2023 notable top 25%
- Readers: Everyone
Probabilistic Categorical Adversarial Attack and Adversarial Training
Pengfei He, Han Xu, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliang Tang
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris M. Kitani, Masayoshi Tomizuka, Wei Zhan
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- ICLR 2023 notable top 5%
- Readers: Everyone
Greedy Information Maximization for Online Feature Selection
Ian Connick Covert, Wei Qiu, MingYu Lu, Na Yoon Kim, Su-In Lee
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Towards Fair Classification against Poisoning Attacks
Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Unveiling Transformers with LEGO: A Synthetic Reasoning Task
Yi Zhang, Arturs Backurs, Sebastien Bubeck, Ronen Eldan, Suriya Gunasekar, Tal Wagner
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping, Micah Goldblum, Gowthami Somepalli, Ravid Shwartz-Ziv, Tom Goldstein, Andrew Gordon Wilson
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- ICLR 2023 poster
- Readers: Everyone
Spatial Reasoning Network for Zero-shot Constrained Scene Generation
Maxwell J Jacobson, Yexiang Xue
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Robust Graph Dictionary Learning
Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
- Published: 01 Feb 2023, Last Modified: 25 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
Matrix factorization under the constraint of connectivity between observed and source data ~ Muscle synergy analysis based on connectivity between muscle and brain activities ~
Takashi Isezaki, Michiaki Suzuki, Yukio Koike, Ryosuke Aoki, Yukio Nishimura
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Fundamental limits on the robustness of image classifiers
Zheng Dai, David Gifford
- Published: 01 Feb 2023, Last Modified: 01 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Stochastic Constrained DRO with a Complexity Independent of Sample Size
Qi Qi, Jiameng Lyu, Kung-sik Chan, Er-Wei Bai, Tianbao Yang
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- Submitted to ICLR 2023
- Readers: Everyone
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
Zhong Yi Wan, Leonardo Zepeda-Nunez, Anudhyan Boral, Fei Sha
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- ICLR 2023 notable top 25%
- Readers: Everyone
Dissecting adaptive methods in GANs
Samy Jelassi, David Dobre, Arthur Mensch, Yuanzhi Li, Gauthier Gidel
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
Virat Shejwalkar, Arun Ganesh, Rajiv Mathews, Om Thakkar, Abhradeep Guha Thakurta
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- Submitted to ICLR 2023
- Readers: Everyone
Understanding Influence Functions and Datamodels via Harmonic Analysis
Nikunj Saunshi, Arushi Gupta, Mark Braverman, Sanjeev Arora
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- ICLR 2023 poster
- Readers: Everyone
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier
- Published: 01 Feb 2023, Last Modified: 01 Mar 2023
- ICLR 2023 notable top 25%
- Readers: Everyone
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- ICLR 2023 poster
- Readers: Everyone
Robustness for Free: Adversarially Robust Anomaly Detection Through Diffusion Model
Yuanpu Cao, Lu Lin, Jinghui Chen
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
ErrorAug: Making Errors to Find Errors in Semantic Segmentation
Devin Guillory, Dequan Wang, Shun Ishizaka, Kazuki Kozuka, Trevor Darrell
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Kernel Regression with Infinite-Width Neural Networks on Millions of Examples
Ben Adlam, Jaehoon Lee, Shreyas Padhy, Zachary Nado, Jasper Snoek
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- Submitted to ICLR 2023
- Readers: Everyone
Information Plane Analysis for Dropout Neural Networks
Linara Adilova, Bernhard C Geiger, Asja Fischer
- Published: 01 Feb 2023, Last Modified: 01 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Fed-Cor: Federated Correlation Test with Secure Aggregation
Lun Wang, Qi Pang, Shuai Wang, Wenting Zheng, Dawn Song
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
John Banister Lanier, Stephen Marcus McAleer, Pierre Baldi, Roy Fox
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Phase2vec: dynamical systems embedding with a physics-informed convolutional network
Matt Ricci, Noa Moriel, Zoe Piran, Mor Nitzan
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- ICLR 2023 notable top 25%
- Readers: Everyone