ICLR 2024 Conference Submissions

Modelling Microbial Communities with Graph Neural Networks
Albane Ruaud, Cansu Sancaktar, Marco Bagatella, Christoph Ratzke, Georg Martius
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TabR: Tabular Deep Learning Meets Nearest Neighbors
Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Neural Evolutionary Kernel Method: A Knowledge-Based Learning Architechture for Evolutionary PDEs
Shuo Ling, Wenjun Ying, Zhen Zhang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Image Authenticity Detection using Eye Gazing Data: A Performance Comparison Beyond Human Capabilities via Attention Mechanism, ResNet, and Cascade Strategies
Ping Zhang
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search
Haoming Zhang, Ran Cheng
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
Sijia Chen, Baochun Li, Di Niu
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Farzi Data: Autoregressive Data Distillation
Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian McAuley
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BATTLE: Towards Behavior-oriented Adversarial Attacks against Deep Reinforcement Learning
Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding Large Language Models Through the Lens of Dataset Generation
Jasper Dekoninck, Marc Fischer, Luca Beurer-Kellner, Martin Vechev
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Temporal Parallelization for GPU Acceleration of Spiking Neural Networks
Jiachun Li, Yanchen Li, Kebin Sun, Ran Cheng
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FSN: Feature Shift Network for Load-Domain Domain Generalization
Heng Chen, Erkang Zhao, Lei Shi, Yuhui Zhou
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Ask Again, Then Fail: Large Language Models’ Vacillations in Judgement
Qiming Xie, Zengzhi Wang, Yi Feng, Rui Xia
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Object-Relational Graph Framework for Zero-Shot 3D Scene Segmentation
Joonhyung Park, Jaeyun Song, JungEun Kim, Eunho Yang
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Do Current Large Language Models Master Adequate Clinical Knowledge?
Yuxuan Zhou, Chen Ning, Xien Liu, Ji Wu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SIMULTANEOUS GENERATION AND IMPROVEMENT: A UNIFIED RL PARADIGM FOR FJSP OPTIMIZATION
Hongyi Zhou, Lei Song
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AdaptIP: Transferring Cross-modal Information to Temporal Modeling for Video-Language Representation Learning
Yaowei Li, Hongxiang Li, Xuxin Cheng, Bang Yang, Zhihong Zhu, Yuexian Zou
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Model-Agnostic Shift-Equivariant Downsampling
Myungjoon Kim, Arthur Baucour, Jonghwa Shin
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Visuo-emotional perception and Human Cognition to engineer content-generation using Generative AI
Tanya Upadhyay, Jieya Rawal, Kirtana Sunil Phatnani, Biju Joseph Dominic
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Amplifying Training Data Exposure through Fine-Tuning with Pseudo-Labeled Memberships
Myung Gyo Oh, Hong Eun Ahn, Leo Hyun Park, Taekyoung Kwon
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FairPATE: Exposing the Pareto Frontier of Fairness, Privacy, Accuracy, and Coverage
Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Real-time computer vision on low-end boards via clustering motion vectors
David Denisov, Dan Feldman, Michael Segal, Shlomi Dolev
- 24 Sept 2023 (modified: 11 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Beyond Memorization: Violating Privacy via Inference with Large Language Models
Robin Staab, Mark Vero, Mislav Balunovic, Martin Vechev
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
AdaLomo: Low-memory Optimization with Adaptive Learning Rate
Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone