ICLR 2024 Conference Submissions

Understanding Masked Autoencoders From a Local Contrastive Perspective
Xiaoyu Yue, LEI BAI, Meng Wei, Jiangmiao Pang, Xihui Liu, Luping Zhou, Wanli Ouyang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Enhancing Precision Drug Recommendations via Fine-grained Exploration of Motif Relationships
Chuang Zhao, Hongke Zhao, Xiaofang Zhou, Xiaomeng Li
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Smooth Min-Max Monotonic Networks
Christian Igel
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Elucidating the Exposure Bias in Diffusion Models
Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Onal Ertugrul
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Availability Attacks Need to Create Shortcuts for Contrastive Learning
Yihan Wang, Yifan Zhu, Xiao-Shan Gao
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Harnessing Orthogonality to Train Low-Rank Neural Networks
Daniel Coquelin, Katharina Flügel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit, Markus Götz
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
Rui Pan, Yuxing Liu, Xiaoyu Wang, Tong Zhang
- Published: 16 Jan 2024, Last Modified: 24 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Transferable Availability Poisoning Attacks
Yiyong Liu, Michael Backes, Xiao Zhang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CONFIDE: CONtextual FInite DifferencE modelling of PDEs
Ori Linial, Orly Avner, Dotan Di Castro
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Degradation-aware Unfolding Knowledge-assist Transformer for Spectral Compressive Imaging
Zongliang Wu, Ruiying Lu, Xin Yuan
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
Erik J Bekkers, Sharvaree Vadgama, Rob Hesselink, Putri A Van der Linden, David W. Romero
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
Jonas Seng, Matej Zečević, Devendra Singh Dhami, Kristian Kersting
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Why SAM finetuning can benefit Out-of-Distribution Detection?
Chi Zhang, Yue Song, Nicu Sebe, Yao Zhao, Wei Wang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SemSA: Semantic Sparse Attention is hidden in Large Language Models.
Tianyu Fu, Xuefei Ning, Boju Chen, Tianqi Wu, Genghan Zhang, Guohao Dai, Huazhong Yang, Yu Wang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
Renan A. Rojas Gomez, Alex Bijamov, Warren Richard Morningstar, Philip Andrew Mansfield
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
Sergei Solonets, Daniil Sinitsyn, Lukas Von Stumberg, Nikita Araslanov, Daniel Cremers
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
Jingyang Zhang, Shiwei Li, Yuanxun Lu, Tian Fang, David Neil McKinnon, Yanghai Tsin, Long Quan, Yao Yao
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance
Xuchao Zhang, Menglin Xia, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Curvature MPNNs : Improving Message Passing with Local Structural Properties
Hugo Attali, Davide Buscaldi, Nathalie Pernelle
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Text-to-3D using Gaussian Splatting
Zilong Chen, Feng Wang, Huaping Liu
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Instant Complexity Reduction in CNNs using Locality-Sensitive Hashing
Lukas Meiner, Jens Mehnert, Alexandru Paul Condurache
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
Yan Sun, Jicong Fan
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Strided Transformers for Partially-Parallelized Inference
Amil Merchant, Ekin Dogus Cubuk, Stefano Ermon
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
RNNS with gracefully degrading continuous attractors
Ábel Ságodi, Piotr A Sokol, Il Memming Park
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Successor Heads: Recurring, Interpretable Attention Heads In The Wild
Rhys Gould, Euan Ong, George Ogden, Arthur Conmy
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone