firstbacksecondback
106 Results
|
Poster
|
Concept-level Debugging of Part-Prototype Networks Andrea Bontempelli · Stefano Teso · Katya Tentori · Fausto Giunchiglia · Andrea Passerini |
||
|
Poster
|
Wed 2:30 |
User-Interactive Offline Reinforcement Learning Phillip Swazinna · Steffen Udluft · Thomas A. Runkler |
|
|
Affinity Workshop
|
Fri 0:15 |
Secure communication model for quantum federated learning: A proof of concept Dev Gurung |
|
|
Poster
|
Quantized Compressed Sensing with Score-Based Generative Models Xiangming Meng · Yoshiyuki Kabashima |
||
|
Workshop
|
MOTO: Offline to Online Fine-tuning for Model-Based Reinforcement Learning Rafael Rafailov · Kyle Hatch · Victor Kolev · John Martin · mariano Phielipp · Chelsea Finn |
||
|
Poster
|
Efficient Offline Policy Optimization with a Learned Model Zichen Liu · Siyi Li · Wee Sun Lee · shuicheng YAN · Zhongwen Xu |
||
|
Poster
|
STaSy: Score-based Tabular data Synthesis Jayoung Kim · Chaejeong Lee · Noseong Park |
||
|
Workshop
|
Model-Based Adversarial Imitation Learning As Online Fine-Tuning Rafael Rafailov · Victor Kolev · Kyle Hatch · John Martin · mariano Phielipp · Jiajun Wu · Chelsea Finn |
||
|
Poster
|
Wed 2:30 |
Concept Gradient: Concept-based Interpretation Without Linear Assumption Andrew Bai · Chih-Kuan Yeh · Neil Lin · Pradeep K Ravikumar · Cho-Jui Hsieh |
|
|
Poster
|
Post-hoc Concept Bottleneck Models Mert Yuksekgonul · Maggie Wang · James Y Zou |
||
|
Poster
|
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models Shangqian Gao · Burak Uzkent · Yilin Shen · Heng Huang · Hongxia Jin |
||
|
Poster
|
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal · Mark Goldstein · Rajesh Ranganath |