Publications

Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
- - Prashant Khanduri
  - Haibo Yang
  - et al.
- 2022
- ICLR 2022
Auto-Transfer: Learning to Route Transferable Representations
- - Keerthiram Murugesan
  - Vijay Sadashivaiah
  - et al.
- 2022
- ICLR 2022
Network Augmentation for Tiny Deep Learning
- - Han Cai
  - Chuang Gan
  - et al.
- 2022
- ICLR 2022
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
- - Pingchuan Ma
  - Tao Du
  - et al.
- 2022
- ICLR 2022
RegionViT: Regional-to-Local Attention for Vision Transformers
- - Richard Chen
  - Rameswar Panda
  - et al.
- 2022
- ICLR 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
- - Lingjie Mei
  - Jiayuan Mao
  - et al.
- 2022
- ICLR 2022
Data-Efficient Graph Grammar Learning for Molecular Generation
- - Minghao Guo
  - Veronika Thost
  - et al.
- 2022
- ICLR 2022
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
- - Sizhe Li
  - Zhiao Huang
  - et al.
- 2022
- ICLR 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
- - Yimeng Zhang
  - Yuguang Yao
  - et al.
- 2022
- ICLR 2022
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
- - Rumen Dangovski
  - Li Jing
  - et al.
- 2022
- ICLR 2022