ICLR 2023 Conference Submissions

Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang
- Published: 01 Feb 2023, Last Modified: 01 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
SRBGCN: Tangent space-Free Lorentz Transformations for Graph Feature Learning
Abdelrahman Mostafa, Wei Peng, Guoying Zhao
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Transfer NAS with Meta-learned Bayesian Surrogates
Gresa Shala, Thomas Elsken, Frank Hutter, Josif Grabocka
- Published: 01 Feb 2023, Last Modified: 28 Feb 2023
- ICLR 2023 notable top 5%
- Readers: Everyone
Mitigating the Limitations of Multimodal VAEs with Coordination-Based Approach
Masahiro Suzuki, Yutaka Matsuo
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Incompatibility between Deterministic Policy and Generative Adversarial Imitation Learning
Wanying Wang, Yirui Zhou, Chaomin Shen, Yangchun Zhang, Jian Tang, Zhiyuan Xu, Yaxin Peng
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Contrastive Learning of Molecular Representation with Fragmented Views
Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Sharp Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Hongru Zhao, Jinchao Xu
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Selective Frequency Network for Image Restoration
Yuning Cui, Yi Tao, Zhenshan Bing, Wenqi Ren, Xinwei Gao, Xiaochun Cao, Kai Huang, Alois Knoll
- Published: 01 Feb 2023, Last Modified: 12 Apr 2023
- ICLR 2023 poster
- Readers: Everyone
Contextualized Generative Retrieval
Hyunji Lee, JaeYoung Kim, Hoyeon Chang, Hanseok Oh, Sohee Yang, vladimir karpukhin, Yi Lu, Minjoon Seo
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- Submitted to ICLR 2023
- Readers: Everyone
Mirror Training for Input Convex Neural Network
Jiaqi Wu, Yang Weng
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Scaling Up Probabilistic Circuits by Latent Variable Distillation
Anji Liu, Honghua Zhang, Guy Van den Broeck
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- ICLR 2023 notable top 5%
- Readers: Everyone
Oscillation Neural Ordinary Differential Equations
Muhao Guo, Yang Weng
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Improving Differentiable Neural Architecture Search by Encouraging Transferability
Parth Sheth, Pengtao Xie
- Published: 01 Feb 2023, Last Modified: 16 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
Neo Wei Ming, Zhehui Wang, Cheng Liu, Rick Siow Mong Goh, Tao Luo
- Published: 01 Feb 2023, Last Modified: 18 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
Automatically Answering and Generating Machine Learning Final Exams
Sarah Zhang, Reece S Shuttleworth, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Yann Hicke, Leonard Tang, Sathwik Karnik, Darnell Granberry, Iddo Drori
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
CAT: Collaborative Adversarial Training
xingbin liu, Huafeng Kuang, Xianming Lin, GUANNAN JIANG, YONGJIAN WU, Xi Wang, Rongrong Ji
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- Submitted to ICLR 2023
- Readers: Everyone
Efficient Certified Training and Robustness Verification of Neural ODEs
Mustafa Zeqiri, Mark Niklas Mueller, Marc Fischer, Martin Vechev
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- ICLR 2023 poster
- Readers: Everyone
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
Yu Liu, Mingbo Zhao, Zhao Zhang, Jicong Fan, Yang Lou, Shuicheng Yan
- Published: 01 Feb 2023, Last Modified: 23 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
A Benchmark Dataset for Learning from Label Proportions
Anand Paresh Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
UL2: Unifying Language Learning Paradigms
Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Emergence of Exploration in Policy Gradient Reinforcement Learning via Resetting
Sotetsu Koyamada, Paavo Parmas, Tadashi Kozuno, Shin Ishii
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations
Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman
- Published: 01 Feb 2023, Last Modified: 25 Nov 2024
- Submitted to ICLR 2023
- Readers: Everyone
On the convergence of SGD under the over-parameter setting
ruinan Jin, Yiwei Wang, Wei Liu, Baoxiang Wang
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone