Publications

On the Forward Invariance of Neural ODEs
- - Wei Xiao
  - Tsun-Hsuan Wang
  - et al.
- 2023
- ICML 2023
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering
- - Ella Neeman
  - Roee Aharoni
  - et al.
- 2023
- ACL 2023
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
- - Tianshu Zhang
  - Changchang Liu
  - et al.
- 2023
- ACL 2023
AccShield: A New Trusted Execution Environment with Machine-Learning Accelerators
- - Wei Ren
  - William Kozlowski
  - et al.
- 2023
- DAC 2023
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization
- - Arie Cattan
  - Lilach Eden
  - et al.
- 2023
- ACL 2023
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
- - Zijie Wang
  - Evan Montoya
  - et al.
- 2023
- ACL 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
- - Hanjing Wang
  - Dhiraj Joshi
  - et al.
- 2023
- CVPR 2023
MaskSketch: Unpaired Structure-guided Masked Image Generation
- - Dina Bashkirova
  - José Lezama
  - et al.
- 2023
- CVPR 2023
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
- - Qiucheng Wu
  - Yujian Liu
  - et al.
- 2023
- CVPR 2023
3D Concept Learning and Reasoning from Multi-View Images
- - Yining Hong
  - Chunru Lin
  - et al.
- 2023
- CVPR 2023