|
Poster
|
Thu 15:00
|
Secure Out-of-Distribution Task Generalization with Energy-Based Models
Shengzhuang Chen · Long-Kai Huang · Jonathan Richard Schwarz · Yilun Du · Ying Wei
|
|
|
Workshop
|
|
Understanding Insect Range Shifts with Out-of-distribution Detection
Yuyan Chen · David Rolnick
|
|
|
Poster
|
Thu 8:45
|
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
Haonan Yuan · Qingyun Sun · Xingcheng Fu · Ziwei Zhang · Cheng Ji · Hao Peng · Jianxin Li
|
|
|
Workshop
|
|
LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
Jia Shi · Gautam Rajendrakumar Gare · Jinjin Tian · Siqi Chai · Zhiqiu Lin · Arun Balajee Vasudevan · Di Feng · Francesco Ferroni · Shu Kong · Deva Ramanan
|
|
|
Poster
|
Wed 15:00
|
VRA: Variational Rectified Activation for Out-of-distribution Detection
Mingyu Xu · Zheng Lian · Bin Liu · Jianhua Tao
|
|
|
Poster
|
Thu 8:45
|
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Andy Zhou · Jindong Wang · Yu-Xiong Wang · Haohan Wang
|
|
|
Poster
|
Tue 8:45
|
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Atsuyuki Miyai · Qing Yu · Go Irie · Kiyoharu Aizawa
|
|
|
Workshop
|
|
Multimodal base distributions for continuous-time normalising flows
Shane Josias · Willie Brink
|
|
|
Workshop
|
|
TrustAffinity: accurate, reliable and scalable out-of-distribution protein-ligand binding affinity prediction using trustworthy deep learning
Amitesh Badkul · Li Xie · Shuo Zhang · Lei Xie
|
|
|
Poster
|
Thu 8:45
|
Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
Daesol Cho · Seungjae Lee · H. Jin Kim
|
|
|
Poster
|
Thu 8:45
|
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning
Yang Yang · Yuxuan Zhang · XIN SONG · Yi Xu
|
|
|
Poster
|
Tue 15:15
|
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
RENCHUNZI XIE · Hongxin Wei · Lei Feng · Yuzhou Cao · Bo An
|
|
