ICLR 2024 Conference Submissions

Search and Retrieval in Semantic-Structural Representations of Novel Malware
John Musgrave, Alina Campan, Anca L Ralescu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
Yuhang Zang, Hanlin Goh, Joshua M. Susskind, Chen Huang
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Learning Performance-Improving Code Edits
Alexander G Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
ConR: Contrastive Regularizer for Deep Imbalanced Regression
Mahsa Keramati, Lili Meng, R. David Evans
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Enhancing Temporal Knowledge Graph Completion with Global Similarity and Weighted Sampling
Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Xiang Chen, Tong Yu, Mohammad Rostami
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Measuring Local and Shuffled Privacy of Gradient Randomized Response
Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
RegionSpot: Unleashing the Power of Frozen Foundation Models for Open-World Region Understanding
Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan, Xiatian Zhu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Neural scaling laws for phenotypic drug discovery
Drew Linsley, John Griffin, Jason Parker Brown, Adam N Roose, Michael Frank, Peter S Linsley, Jeremy William Linsley
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LoFT: Local Proxy Fine-tuning Improves Transferability to Large Language Model Attacks
Muhammad A Shah, Roshan Sharma, Hira Dhamyal, Ankit Shah, Dareen Safar Alharthi, Massa Baali, Hazim Bukhari, Joseph Konan, Soham Deshmukh, Bhiksha Raj, Rita Singh
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
The Role of Counterfactual Explanations in Model Extraction Attacks
Pasan Dissanayake, Sanghamitra Dutta
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Quasi-Monte Carlo for 3D Sliced Wasserstein
Khai Nguyen, Nicola Bariletto, Nhat Ho
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Multi-resolution Dataset of Self-consistent Cloth Drapes for Physics-based Upsampling
Yun-Chun Chen, Jiayi Eris Zhang, Danny Kaufman, Alec Jacobson
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
Thien Le, Luana Ruiz, Stefanie Jegelka
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization
Lun Huang, Qiang Qiu, Guillermo Sapiro
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
- Published: 16 Jan 2024, Last Modified: 23 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
Murtaza Dalal, Tarun Chiruvolu, Devendra Singh Chaplot, Ruslan Salakhutdinov
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Efficient Redundancy-Free Graph Networks: Higher Expressiveness and Less Over-Squashing
Rongqin Chen, Yan Li, Leong Hou U, Ye Li
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Motif-aware Attribute Masking for Molecular Graph Pre-training
Eric Inae, Gang Liu, Meng Jiang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Data-Driven Solution for the Cold Start Problem in Biomedical Image Classification
Salome Kazeminia, Miroslav Březík, Carsten Marr, Sayedali Shetab Boushehri
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Culture in Artificial Intelligence: A Literature Review & Proposal
Cesa Salaam, Danda Rawat
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs
Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Cascading Reinforcement Learning
Yihan Du, R. Srikant, Wei Chen
- Published: 16 Jan 2024, Last Modified: 07 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Trustless Audits without Revealing Data or Models
Suppakit Waiwitlikhit, Ion Stoica, Yi Sun, Tatsunori Hashimoto, Daniel Kang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
Benjamin S. H. Lyo, Cristina Savin
- Published: 16 Jan 2024, Last Modified: 20 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone