Publications

98 results at NeurIPS 2021

Learning with Algorithmic Supervision via Continuous Relaxations
- - Felix Petersen
  - Christian Borgelt
  - et al.
- 2021
- NeurIPS 2021
Memory-efficient Patch-based Inference for Tiny Deep Learning
- - Ji Lin
  - Wei-Ming Chen
  - et al.
- 2021
- NeurIPS 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- - Ruchir Puri
  - David Kung
  - et al.
- 2021
- NeurIPS 2021
Targeted Neural Dynamical Modeling
- - Cole Hurwitz
  - Akash Srivastava
  - et al.
- 2021
- NeurIPS 2021
Post-processing for Individual Fairness
- - Felix Petersen
  - Debarghya Mukherjee
  - et al.
- 2021
- NeurIPS 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- - Shuai Zhang
  - Meng Weng
  - et al.
- 2021
- NeurIPS 2021
Robust Deep Reinforcement Learning through Adversarial Loss
- - Tuomas Oikarinen
  - Wang Zhang
  - et al.
- 2021
- NeurIPS 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks
- - Jihun Yun
  - Aurelie Lozano
  - et al.
- 2021
- NeurIPS 2021
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- - Kai Xu
  - Akash Srivastava
  - et al.
- 2021
- NeurIPS 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
- - Yifan Jiang
  - Shiyu Chang
  - et al.
- 2021
- NeurIPS 2021