ICLR 2024 Conference Submissions

Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
Karim Hamade, Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization
Bodhisattwa Prasad Majumder, Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Vision-Language Integration in Multimodal Video Transformers (Partially) Aligns with the Brain
Dota Tianai Dong, Mariya Toneva
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Exchangeable Dataset Amortization for Bayesian Posterior Inference
Sarthak Mittal, Niels Leif Bracher, Guillaume Lajoie, Priyank Jaini, Marcus A Brubaker
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FroSSL: Frobenius Norm Minimization for Self-Supervised Learning
Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sanchez Giraldo
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Tree Search-Based Policy Optimization under Stochastic Execution Delay
David Valensi, Esther Derman, Shie Mannor, Gal Dalal
- Published: 16 Jan 2024, Last Modified: 08 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Context-Aware Meta-Learning
Christopher Fifty, Dennis Duan, Ronald Guenther Junkins, Ehsan Amid, Jure Leskovec, Christopher Re, Sebastian Thrun
- Published: 16 Jan 2024, Last Modified: 22 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Efficient Offline Reinforcement Learning: The Critic is Critical
Adam Jelley, Amos Storkey, Sam Devlin
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A simple and interpretable model of grokking modular arithmetic tasks
Andrey Gromov
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SAFHE: Defending Against Backdoor and Gradient Inversion Attacks in Federated Learning
Jordan Barkin, Ratip Emin Berker, Sílvia Casacuberta, Janet Li
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LLM Censorship: The Problem and its Limitations
David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SurroCBM: Concept Bottleneck Surrogate Models for Joint Unsupervised Concept Discovery and Post-hoc Explanation
Bo Pan, Zhenke Liu, Yifei Zhang, Liang Zhao
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation
Danny Reidenbach, Aditi S. Krishnapriyan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
In-Context Learning for Few-Shot Molecular Property Prediction
Christopher Fifty, Jure Leskovec, Sebastian Thrun
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Graph Neural Modeling of Network Flows
Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Constrained Parameter Regularization
Jörg K.H. Franke, Michael Hefenbrock, Gregor Koehler, Frank Hutter
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
Kang Lin, Reinhard Heckel
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unifying Model-Based and Model-Free Reinforcement Learning with Equivalent Policy Sets
Benjamin Freed, Thomas Wei, Roberto Calandra, Jeff Schneider, Howie Choset
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FIITED: Fine-grained embedding dimension optimization during training for recommender systems
Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Yuxi Hu, Xuehai Qian
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail Kaiser, Suman Jana, Baishakhi Ray
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Improving Generalization for Small Datasets with Data-Aware Dynamic Reinitialization
Vijaya Raghavan T Ramkumar, Bahram Zonooz, Elahe Arani
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting
Aleksei Ustimenko, Aleksandr Beznosikov
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà
- Published: 16 Jan 2024, Last Modified: 11 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
Sumeet Batra, Bryon Tjanaka, Matthew Christopher Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme
- Published: 16 Jan 2024, Last Modified: 22 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Feasibility with Language Models for Open-World Compositional Zero-Shot Learning
Jae Myung Kim, Stephan Alaniz, Cordelia Schmid, Zeynep Akata
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone