|
Poster
|
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts Rui Wang · Yihe Dong · Sercan Arik · Rose Yu |
||
|
Poster
|
Multi-level Protein Structure Pre-training via Prompt Learning Zeyuan Wang · Qiang Zhang · Shuang-Wei HU · Haoran Yu · Xurui Jin · Zhichen Gong · Huajun Chen |
||
|
Poster
|
Learning the Positions in CountSketch Yi Li · Honghao Lin · Simin Liu · Ali Vakilian · David Woodruff |
||
|
Poster
|
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games Wenhao Zhan · Jason Lee · Zhuoran Yang |
||
|
Poster
|
PAC Reinforcement Learning for Predictive State Representations Wenhao Zhan · Masatoshi Uehara · Wen Sun · Jason Lee |
||
|
Poster
|
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo · Yiming Li · Xun Chen · Hanqing Guo · Lichao Sun · Cong Liu |
||
|
Poster
|
Reparameterization through Spatial Gradient Scaling Alexander Detkov · Mohammad Salameh · Muhammad Fetrat Qharabagh · Jialin Zhang · Wei Lu · SHANGLING JUI · Di Niu |
||
|
Poster
|
DiffEdit: Diffusion-based semantic image editing with mask guidance Guillaume Couairon · Jakob Verbeek · Holger Schwenk · MATTHIEU CORD |
||
|
Poster
|
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing Zi Lin · Du Phan · Panupong Pasupat · Jeremiah Zhe Liu · Jingbo Shang |
||
|
Poster
|
Federated Learning from Small Datasets Michael Kamp · Jonas Fischer · Jilles Vreeken |
||
|
Poster
|
Self-supervision through Random Segments with Autoregressive Coding (RandSAC) Tianyu Hua · Yonglong Tian · Sucheng Ren · Michalis Raptis · Hang Zhao · Leonid Sigal |
||
|
Poster
|
Wed 7:30 |
Diagnosing and Rectifying Vision Models using Language Yuhui Zhang · Jeff Z. HaoChen · Shih-Cheng Huang · Kuan-Chieh Wang · James Y Zou · Serena Yeung |