ICLR 2024 Conference Submissions

Temporal graph models fail to capture global temporal dynamics
Michal Daniluk, Jacek Dabrowski
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Understanding Catastrophic Forgetting in Language Models via Implicit Inference
Suhas Kotha, Jacob Mitchell Springer, Aditi Raghunathan
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Robot Learning from Demonstration: Enhancing Plan Execution with Failure Detection Model
Tianyi Wu, Liwei Shen, Zhen Dong, Xin Peng, Wenyun Zhao
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts
Lizhang Chen, Bo Liu, Kaizhao Liang, qiang liu
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Controllable Pareto Trade-off between Fairness and Accuracy
Yongkang Du, Jieyu Zhao, Yijun Yang, Tianyi Zhou
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Distributionally Robust Optimization with Bias and Variance Reduction
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaid Harchaoui
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Competition Priors for Object-Centric Learning
Vihang Prakash Patil, Andreas Radler, Daniel Klotz, Sepp Hochreiter
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Greedy PIG: Adaptive Integrated Gradients
Kyriakos Axiotis, Sami Abu-El-Haija, Lin Chen, Matthew Fahrbach, Gang Fu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Synthesizing Programmatic Policy for Domain Generalization
Tianyi Wu, Liwei Shen, Zhen Dong, Xin Peng, Wenyun Zhao
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-Scale Window based Transformer Network for High Quality Image Inpainting
SeongJoo Kim, Jaeyoung Choi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Tweedie Moment Projected Diffusions for Inverse Problems
Benjamin Boys, Mark Girolami, Jakiw Pidstrigach, Sebastian Reich, Alan Mosca, Omer Deniz Akyildiz
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Spectral Highways: Injecting Homophily into Heterophilic Graphs
Karan Goyal, Saankhya Samanta, Mukesh Mohania, Vikram Goyal
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Biological Sequence Editing with Generative Flow Networks
Pouya M. Ghari, Alex M Tseng, Gokcen Eraslan, Romain Lopez, Tommaso Biancalani, Gabriele Scalia, Ehsan Hajiramezanali
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
QualEval: Qualitative Evaluation for Model Improvement
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik R Narasimhan, Ashwin Kalyan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Steering No-Regret Learners to Optimal Equilibria
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AgentMixer: Multi-Agent Correlated Policy Factorization
Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Dynamic Assortment Selection and Pricing with Learning
Yigit Efe Erginbas, Kannan Ramchandran, Thomas Courtade
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Implicit regularization of multi-task learning and finetuning in overparameterized neural networks
Jack Lindsey, Samuel Lippl
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Quack: Automatic Jailbreaking Large Language Models via Role-playing
Haibo Jin, Ruoxi Chen, Jinyin Chen, Haohan Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ACES: Generating Diverse Programming Puzzles with Autotelic Language Models and Semantic Descriptors
Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer, Laetitia Teodorescu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancement-Driven Pretraining for Robust Fingerprint Representation Learning
Ekta Gavas, Kaustubh Olpadkar, Anoop M. Namboodiri
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning from A Single Graph is All You Need for Near-Shortest Path Routing
Yung-Fu Chen, Sen Lin, Anish Arora
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generative Entropic Neural Optimal Transport To Map Within and Across Space
Dominik Klein, Théo Uscidda, Fabian J Theis, marco cuturi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bridging Debiasing Tasks with Sufficient Projection: A General Theoretical Framework for Vector Representations
Enze Shi, Lei Ding, Linglong Kong, Bei Jiang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Human-in-the-loop Detection of AI-generated Text via Grammatical Patterns
Johan Lokna, Mislav Balunovic, Martin Vechev
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone