Co-occurring keywords · papers mentioning both
Papers
Distilling Knowledge From Graph Convolutional Networks
CVPR 2020
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction
AAAI 2020
Distilling Knowledge Learned in BERT for Text Generation
ACL 2020
Distilling Multiple Domains for Neural Machine Translation
EMNLP 2020
Distilling Neural Networks for Greener and Faster Dependency Parsing
ACL 2020
Distilling Portable Generative Adversarial Networks for Image Translation
AAAI 2020
Distilling Structured Knowledge for Text-Based Relational Reasoning
EMNLP 2020
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
Interspeech 2020
Distributed Distillation for On-Device Learning
NeurIPS 2020
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks
ICML 2020
Does label smoothing mitigate label noise?
ICML 2020
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion
CVPR 2020
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks
ICML 2020
Dual Policy Distillation
IJCAI 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
NeurIPS 2020
DynaBERT: Dynamic BERT with Adaptive Width and Depth
NeurIPS 2020
Efficient and High-Quality Neural Machine Translation with OpenNMT
ACL 2020
Efficient Meta Lifelong-Learning with Limited Memory
EMNLP 2020
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
EMNLP 2020
EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification
Interspeech 2020
End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020
ACL 2020
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
ACL 2020
Ensemble Approaches for Uncertainty in Spoken Language Assessment
Interspeech 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning
NeurIPS 2020
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast—Choose Three
EMNLP 2020