ICLR 2024 Conference Submissions

Towards Meta-Models for Automated Interpretability
Lauro Langosco, Neel Alex, William Baker, David John Quarel, Herbie Bradley, David Krueger
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Subgraph GNNs by Learning Effective Selection Policies
Beatrice Bevilacqua, Moshe Eliasof, Eli Meirom, Bruno Ribeiro, Haggai Maron
- Published: 16 Jan 2024, Last Modified: 04 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Inverse Decision Making via Inverse Generative Modeling
Aviv Netanyahu, Yilun Du, Tianmin Shu, Jyothish Pari, Joshua B. Tenenbaum, Pulkit Agrawal
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Parsing neural dynamics with infinite recurrent switching linear dynamical systems
Victor Geadah, International Brain Laboratory, Jonathan W. Pillow
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Can We Generate Realistic Hands Using Only Convolution?
Mehran Hosseini, Peyman Hosseini
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Active Retrosynthetic Planning Aware of Route Quality
Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu
- Published: 16 Jan 2024, Last Modified: 03 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
Kailas Vodrahalli, James Zou
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How do Language Models Bind Entities in Context?
Jiahai Feng, Jacob Steinhardt
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
LayerAct: Advancing CNNs with BatchNorm through Layer-direction Normalization
Kihyuk Yoon, Chiehyeon Lim
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Benchmark for Learning to Translate a New Language from One Grammar Book
Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
Patricia Pauli, Aaron J Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Fairness-aware Message Passing for Graph Neural Networks
Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SARI: SIMPLISTIC AVERAGE AND ROBUST IDENTIFICATION BASED NOISY PARTIAL LABEL LEARNING
Darshana Saravanan, Naresh Manwani, Vineet Gandhi
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
From Local Explainability to Global Robustness: Improving the Robustness of Machine Learning Models Using Counterfactual Explanations
Arie Pavlov, Edita Grolman, Ikuya Morikawa, Toshiya Shimizu, Yuval Elovici, Asaf Shabtai
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Backdoor Attack for Federated Learning with Fake Clients
Pei Fang, Bochuan Cao, Jinyuan Jia, Jinghui Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation
Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J Theis
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Corrupting Unbounded Unlearnable Datasets with Pixel-based Image Transformations
Xianlong Wang, Shengshan Hu, Minghui Li, Zhifei Yu, Ziqi Zhou, Leo Yu Zhang, Hai Jin
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Navigating Scaling Laws: Accelerating Vision Transformer's Training via Adaptive Strategies
Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
Francesco Croce, Naman Deep Singh, Matthias Hein
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Two-sided Competing Matching Markets With Complementary Preferences
Yuantong Li, Guang Cheng, Xiaowu Dai
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Pushing Gradient towards Zero: A Novel Pruning Method for Large Language Models
Cheng Jiang, Ranjun Li, Zhuoyi Zhang, Yu Shen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Tab2Gan: Utilizing image conversion and Gan inversion for tabular model robustness
Arie Pavlov, Edita Grolman, Ikuya Morikawa, Toshiya Shimizu, Asaf Shabtai, Yuval Elovici
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Do different self-supervised learning tasks for medical imaging result in better downstreaming performance?
Aneesh Rangnekar, Jue Jiang, Yuliya Lakhman, Harini Veeraraghavan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning?
Lei Zhao, Mengdi Wang, Yu Bai
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning
Prashant Khanduri, Chengyin Li, RAFI IBN SULTAN, Yao Qiang, Joerg Kliewer, Dongxiao Zhu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone