ICLR 2024 Conference Submissions

In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-Language Model
Junhui Yin, Xinyu Zhang, Lin Yuanbo Wu, Xianghua Xie, Xiaojie Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Kalman Filter for Online Classification of Non-Stationary Data
Michalis Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jorg Bornschein
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Magnushammer: A Transformer-Based Approach to Premise Selection
Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Łukasz Kuciński, Piotr Miłoś, Yuhuai Wu
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Molecule Generation by Heterophilious Triple Flows
Haishan Wang, Arno Solin, Vikas Garg
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
Gregor Geigle, Radu Timofte, Goran Glavaš
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Dispatching Ambulances using Deep Reinforcement Learning
Jon Elias Moen, Ole Jakob Mengshoel
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Uncertainty Quantification Using a Codebook of Encoders
Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unified Mirror Descent: Towards a Big Unification of Decision Making
Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent
Lorenz Kummer, Samir Moustafa, Nils Morten Kriege, Wilfried N. Gansterer
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Contrastive Grouping-based Invariant Learning for Generalizable Graph Learning
Xuecheng Ning, Kui Yu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
Navid Ansari, Hans-peter Seidel, Vahid Babaei
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bayesian Uncertainty Quantification Meets Topology
Sebastian M Schmon, Julius von Rohrscheidt, Bastian Rieck
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Weight Variation-Aware Training Method for Hardware Neuromorphic Chips
Min-Hye Oh
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Tree-based Action-Manipulation Attack Against Continuous Reinforcement Learning with Provably Efficient Support
Zhi Luo, Xiyuan Yang, Lixing Chen, Pan Zhou, Renfu Li
- 22 Sept 2023 (modified: 20 Apr 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Stochastic Subgoal Representation for Hierarchical Reinforcement Learning
Vivienne Huiling Wang, Tinghuai Wang, Wenyan Yang, Joni-kristian Kamarainen, Joni Pajarinen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
It's About Time: Temporal References in Emergent Communication
Olaf Lipinski, Adam Sobey, Federico Cerutti, Timothy J. Norman
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Domain Generalization Using Large Pretrained Models With Mixture-of-Adapters
Gyuseong Lee, Wooseok Jang, Jin Hyeon Kim, Jaewoo Jung, Seungryong Kim
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Adam through a Second-Order Lens
Ross M Clarke, Baiyu Su, José Miguel Hernández-Lobato
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Estimation of Concept Explanations Should be Uncertainty Aware
Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Causal Inference on Distributional Outcomes under Continuous Treatments
YIJUN LI, Cheuk Hang LEUNG, Qi WU
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting
Samuel Maddock, Graham Cormode, carsten maple
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning
Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SelfClean: A Self-Supervised Data Cleaning Strategy
Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Alvaro Gonzalez-Jimenez, Ludovic Amruthalingam, Matthew Groh, Alexander A. Navarini, Marc Pouly
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone