ICLR 2024 Conference Submissions

PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang
- Published: 16 Jan 2024, Last Modified: 06 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation
Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner
Mengfei Xia, Yujun Shen, Changsong Lei, Yu Zhou, Ran Yi, Deli Zhao, Wenping Wang, Yong-jin Liu
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Multi-Objective Molecular Design through Learning Latent Pareto Set
Yiping Liu, Jiahao Yang, Zhang Xinyi, Yuansheng Liu, Bosheng Song, xiangxiang Zeng, Hisao Ishibuchi
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
UniINR: Unifying Spatial-Temporal INR for RS Video Correction, Deblur, and Interpolation with an Event Camera
Yunfan LU, Guoqiang Liang, Lin Wang
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Advancing Beyond Identification: Multi-bit Watermark for Large Language Models
KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Contrastive Learning to rank with Weak Supervision
Kai Zheng
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CTP: A Causal Interpretable Model for Non-Communicable Disease Progression Prediction
Zhoujian Sun, Wenzhuo Zhang, Zhengxing Huang, Nai Ding, Cheng Luo
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SAIR: LEARNING SEMANTIC-AWARE IMPLICIT REPRESENTATION
Canyu Zhang, Xiaoguang Li, Qing Guo, Song Wang
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Debias the Training of Diffusion Models
Hu Yu, Li Shen, Jie Huang, Man Zhou, Hongsheng Li, Feng Zhao
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
Saptarshi Chakraborty, Peter Bartlett
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Pixel Reweighted Adversarial Training
Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Dense Representation Learning for a Joint-Embedding Predictive Architecture
Shentong Mo, Sukmin Yun
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
UniPose: Detecting Any Keypoints
Jie Yang, Ailing Zeng, Ruimao Zhang, Lei Zhang
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
Sharut Gupta, Joshua Robinson, Derek Lim, Soledad Villar, Stefanie Jegelka
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
STFormer : Spatial Temporal Spiking Transformer
Hongzhi Wang, Xiubo Liang, XIAOYAN LIN, Tao Zhang
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Decodable and Sample Invariant Continuous Object Encoder
Dehao Yuan, Furong Huang, Cornelia Fermuller, Yiannis Aloimonos
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Haitz Sáez de Ocáriz Borde, Anastasis Kratsios
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Multi-Task Learning with Hypernetworks and Task Metadata
Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K Lehmann
- 18 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics
Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun
- 18 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Context is Environment
Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning
Xinyi Wang, John Frederick Wieting, Jonathan H. Clark
- 17 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone