ICLR 2024 Conference Submissions

Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
Ido Amos, Jonathan Berant, Ankit Gupta
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Explaining Kernel Clustering via Decision Trees
Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Prompt-aware Adapter: Towards Learning Effective Visual Tokens for GPT4-Style Multimodal Models
Yue Zhang, Hehe Fan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Improving Offline RL by Blending Heuristics
Sinong Geng, Aldo Pacchiano, Andrey Kolobov, Ching-An Cheng
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Understanding Heterophily for Graph Neural Networks
Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Assessing Robustness via Score-based Adversarial Image Generation
Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
Linyuan Gong, Mostafa Elhoushi, Alvin Cheung
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
Nikunj Gupta, Somjit Nath, Samira Ebrahimi Kahou
- 23 Sept 2023 (modified: 02 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Online Fractional Knapsack With Predictions
Mohammadreza Daneshvaramoli, Helia Karisani, Adam Lechowicz, Bo Sun, Cameron N Musco, Mohammad Hajiesmaili
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning
Palaash Agrawal, Haidi Azaman, Cheston Tan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Cooperative Graph Neural Networks
Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
High Dimensional Causal Inference with Variational Backdoor Adjustment
Daniel Mingyi Israel, Aditya Grover, Guy Van den Broeck
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
How Hard is Trojan Detection in DNNs? Fooling Detectors With Evasive Trojans
Mantas Mazeika, Andy Zou, Akul Arora, Pavel Pleskov, Dawn Song, Dan Hendrycks, Bo Li, David Forsyth
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploring the Limitations of Graph-based Logical Reasoning in Large Language Models
Palaash Agrawal, Shavak Vasania, Cheston Tan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Evaluating Robustness to Unforeseen Adversarial Attacks
Maximilian Kaufmann, Daniel Kang, Yi Sun, Xuwang Yin, Steven Basart, Mantas Mazeika, Adam Dziedzic, Akul Arora, Franziska Boenisch, Tom B Brown, Abhinav Kommula, Oliver Zhang, Jacob Steinhardt, Dan Hendrycks
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
RetroTune: Mitigating spurious features via retrospective fine-tuning
Guangtao Zheng, Aidong Zhang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings
Ilyass Hammouamri, Ismail Khalfaoui-Hassani, Timothée Masquelier
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Can Copyright be Reduced to Privacy?
Niva Elkin-Koren, Uri Y. Hacohen, Roi Livni, Shay Moran
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
Lukas Berglund, Meg Tong, Maximilian Kaufmann, Mikita Balesni, Asa Cooper Stickland, Tomasz Korbak, Owain Evans
- Published: 16 Jan 2024, Last Modified: 04 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Fake News Detection via an Adaptive Feature Matching Optimization Framework
Xiaochuan Shi, Jianqiao Lai, Lei WU
- 23 Sept 2023 (modified: 19 Jun 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Metric Learning for Detection of Large Language Model Generated Texts
Linh Le, Shashank Hebbar, My Nguyen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Mykola Pechenizkiy, Yi Liang, Zhangyang Wang, Shiwei Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning
Prashant Shivaram Bhat, Bharath Chennamkulam Renjith, Bahram Zonooz, Elahe Arani
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning
Xiangzhe Kong, Wenbing Huang, Yang Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone