Memory-efficient Patch-based Inference for Tiny Deep Learning
- Ji Lin
- Wei-Ming Chen
- et al.
- 2021
- NeurIPS 2021
Publications
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
- Kuniaki Saito
- Donghyun Kim
- et al.
- 2021
- NeurIPS 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
- Michael Boratko
- Dongxu Zhang
- et al.
- 2021
- NeurIPS 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
- Xin Zhang
- Zhuqing Liu
- et al.
- 2021
- NeurIPS 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
- Akshay Mehra
- Bhavya Kailkhura
- et al.
- 2021
- NeurIPS 2021
Separation results between fixed-kernel and feature-learning probability metrics
- Carles Domingo-Enrich
- Youssef Mroueh
- 2021
- NeurIPS 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
- Geng Yuan
- Xialong Ma
- et al.
- 2021
- NeurIPS 2021
Predicting Deep Neural Network Generalization with Perturbation Response Curves
- Yair Schiff
- Brian Quanz
- et al.
- 2021
- NeurIPS 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks
- Jihun Yun
- Aurelie Lozano
- et al.
- 2021
- NeurIPS 2021
Sequence-to-Sequence Learning with Latent Neural Grammars
- Yoon Kim
- 2021
- NeurIPS 2021