ICLR 2024 Conference Submissions

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
David Yunis, Justin Jung, Falcon Z Dai, Matthew Walter
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fast Explanation of RBF-Kernel SVM Models Using Activation Patterns
MengQi Zhang, Matthias S. Treder, David Marshall, Yuhua Li
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Deepfake Detection with Contrastive Learning in Curved Spaces
Nicolas Larue, Ngoc-Son Vu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multiple Physics Pretraining for Physical Surrogate Models
Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Geraud Krawezik, Francois Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Mastering Memory Tasks with World Models
Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Neur2RO: Neural Two-Stage Robust Optimization
Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias Boutros Khalil
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Neural Networks Decoded: Targeted and Robust Analysis of Neural Network Decisions via Causal Explanations and Reasoning
Alec F Diallo, Paul Patras
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning
Akash Velu, Skanda Vaidyanath, Dilip Arumugam
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Study of the Effects of Transfer Learning on Adversarial Robustness
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model
Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Efficient local linearity regularization to overcome catastrophic overfitting
Elias Abad Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Eric Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
On the Stability of Iterative Retraining of Generative Models on their own Data
Quentin Bertrand, Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
- Published: 16 Jan 2024, Last Modified: 05 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
FENDA-FL: Personalized Federated Learning on Heterogeneous Clinical Datasets
Fatemeh Tavakoli, D. B. Emerson, John Taylor Jewell, Amrit Krishnan, Yuchong Zhang, Amol Verma, Fahad Razak
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Compressing Latent Space via Least Volume
Qiuyi Chen, Mark Fuge
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Cultural and Linguistic Diversity Improves Visual Representations
Andre Ye, Sebastin Santy, Jena D. Hwang, Amy X Zhang, Ranjay Krishna
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LUMEN-PRO: Automating Multi-Task Learning on Optical Neural Networks with Weight Sharing and Physical Rotation
Shanglin Zhou, Yingjie Li, Zhijie Shi, CUNXI YU, Caiwen Ding
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks
Arjun Karuvally, Peter DelMastro, Hava T Siegelmann
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Differentiable Sequence Model Perspective on Policy Gradients
Michel Ma, Pierluca D'Oro, Tianwei Ni, Clement Gehring, Pierre-Luc Bacon
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LOLAMEME: LOGIC, LANGUAGE, MEMORY, MECHANISTIC FRAMEWORK
Jay Desai, Xiaobo Guo, Srinivasan H. Sengamedu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fooling Contrastive Language-Image Pre-Training with CLIPMasterPrints
Matthias Freiberger, Peter Kun, Christian Igel, Anders Sundnes Løvlie, Sebastian Risi
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Speed Limits for Deep Learning
Inbar Seroussi, Alexander A Alemi, Moritz Helias, Zohar Ringel
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Enhanced Controllability of Diffusion Models
Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Make Small Data Great Again: Learning from Partially Annotated Data via Policy Gradient for Multi-Label Classification Tasks
Zixia Jia, Junpeng Li, Shichuan Zhang, Anji Liu, Zilong Zheng
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone