ICML 2024 Conference Submissions

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Path-Guided Particle-based Sampling
Mingzhou Fan, Ruida Zhou, Chao Tian, Xiaoning Qian
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Towards Understanding Inductive Bias in Transformers: A View From Infinity
Itay Lavie, Guy Gur-Ari, Zohar Ringel
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou, Nikhil Ghosh, Bin Yu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
AND: Audio Network Dissection for Interpreting Deep Acoustic Models
Tung-Yu Wu, Yu-Xiang Lin, Tsui-Wei Weng
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining
Aaron Jiaxun Li, Robin Netzorg, Zhihan Cheng, Zhuoqin Zhang, Bin Yu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Recovering Labels from Local Updates in Federated Learning
Huancheng Chen, Haris Vikalo
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Position: Graph Foundation Models Are Already Here
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Spotlight
- Readers: Everyone
Mechanistic Design and Scaling of Hybrid Architectures
Michael Poli, Armin W Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Re, Ce Zhang, Stefano Massaroli
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
Chen-Chia Chang, Yikang Shen, Shaoze Fan, Jing Li, Shun Zhang, Ningyuan Cao, Yiran Chen, Xin Zhang
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Improved Operator Learning by Orthogonal Attention
Zipeng Xiao, Zhongkai Hao, Bokai Lin, Zhijie Deng, Hang Su
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Spotlight
- Readers: Everyone
Online Learning in Betting Markets: Profit versus Prediction
Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
Aaron J Havens, Alexandre Araujo, Huan Zhang, Bin Hu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process
Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference
Fabing Li, Yuanhao Zhai, Shuangyu Cai, Mingyu Gao
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
Zhenwei Lin, Chenyu Xue, Qi Deng, Yinyu Ye
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Exploiting Code Symmetries for Learning Program Semantics
Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Spotlight
- Readers: Everyone
Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
Luyang Fang, Yongkai Chen, Wenxuan Zhong, Ping Ma
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
MoonJeong Park, Jaeseung Heo, Dongwoo Kim
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Interpreting Equivariant Representations
Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Unsupervised Concept Discovery Mitigates Spurious Correlations
Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
CHAI: Clustered Head Attention for Efficient LLM Inference
Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
On the Expressive Power of Spectral Invariant Graph Neural Networks
Bohang Zhang, Lingxiao Zhao, Haggai Maron
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone