ICLR 2024 Conference Submissions

A Theoretical Study of the Jacobian Matrix in Deep Neural Networks
Soufiane Hayou, Benjamin Dadoun, Pierre Youssef, Hanan Salam, Mohamed El Amine Seddik
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Why Do We Need Weight Decay in Modern Deep Learning?
Maksym Andriushchenko, Francesco D'Angelo, Aditya Varre, Nicolas Flammarion
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Concept Alignment as a Prerequisite for Value Alignment
Sunayana Rane, Mark K Ho, Ilia Sucholutsky, Thomas L. Griffiths
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning to Make Adherence-aware Advice
Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Provable Compositional Generalization for Object-Centric Learning
Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Battle of the Wordsmiths: Comparing ChatGPT, GPT-4, Claude, and Bard
ali borji, Mehrdad Mohammadian
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
iHyperTime: Interpretable Time Series Generation with Implicit Neural Representations
Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Andrea Coletta, Alexandros Iosifidis, Svitlana Vyetrenko
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks
Duna Zhan, Dongliang Guo, Pengsheng Ji, Sheng Li
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
RoCA: A Robust Method to Discover Causal or Anticausal Relation by Noise Injection
Yu Yao, Yang Zhou, Mingming Gong, Kun Zhang, Tongliang Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Cycle Consistency Driven Object Discovery
Aniket Rajiv Didolkar, Anirudh Goyal, Yoshua Bengio
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
RF-POLICY: Rectified Flows are Adaptive Decision Makers
Xixi Hu, Bo Liu, Xingchao Liu, qiang liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rectifying Group Irregularities in Explanations for Distribution Shift
Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Contrastive Decoding Improves Reasoning in Large Language Models
Sean O'Brien, Mike Lewis
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sufficient conditions for offline reactivation in recurrent neural networks
Nanda H Krishna, Colin Bredenberg, Daniel Levenstein, Blake Aaron Richards, Guillaume Lajoie
- Published: 16 Jan 2024, Last Modified: 20 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Delayed Generalization: Bridging Double Descent and Grokking
Xander Davies, Jesse Hoogland, Lauro Langosco, David Krueger
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Centroid-Based Learning for Malware Detection and Novel Family Identification
Saranya Vijayakumar, Zifan Wang, Yuhang Yao, Matt Fredrikson
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the benefits of pixel-based hierarchical policies for task generalization
Tudor Cristea-Platon, Bogdan Mazoure, Joshua M. Susskind, Walter Talbott
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
GUARD: A Safe Reinforcement Learning Benchmark
Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Feihan Li, Changliu Liu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Forward Learning of Graph Neural Networks
Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Size Generalization of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective
Yujun Yan, Gaotang Li, Danai Koutra
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Self-Supervised Learning with the Matching Gap
Zoe Piran, Michal Klein, Jason Ramapuram, Dan Busbridge, Soledad Villar, Armand Joulin, marco cuturi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Multi-timestep models for Model-based Reinforcement Learning
Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone