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Papers
Ensemble of Students Taught by Probabilistic Teachers to Improve Speech Emotion Recognition
Interspeech 2020
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
NeurIPS 2020
Explaining Knowledge Distillation by Quantifying the Knowledge
CVPR 2020
Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection
AAAI 2020
Exploring the Boundaries of Low-Resource BERT Distillation
EMNLP 2020
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT
ACL 2020
Extreme Model Compression for On-device Natural Language Understanding
COLING 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
NeurIPS 2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time
ACL 2020
Fast End-to-end Coreference Resolution for Korean
EMNLP 2020
FasterSeg: Searching for Faster Real-time Semantic Segmentation
ICLR 2020
FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
EMNLP 2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training
EMNLP 2020
Feature-map-level Online Adversarial Knowledge Distillation
ICML 2020
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction
EMNLP 2020
Few Sample Knowledge Distillation for Efficient Network Compression
CVPR 2020
Few Shot Network Compression via Cross Distillation
AAAI 2020
Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization
AAAI 2020
Finding trainable sparse networks through Neural Tangent Transfer
ICML 2020
Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification Using Pre-trained Language Models
SemEval 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
CVPR 2020
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
UAI 2020
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference
EMNLP 2020
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
AAAI 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
ICML 2020