Application Areas

Provable Filter Pruning for Efficient Neural Networks ICLR 2020 Provably Efficient Model-based Policy Adaptation ICML 2020 Provably Efficient Third-Person Imitation from Offline Observation UAI 2020 Pruning Filter in Filter NeurIPS 2020 Pruning from Scratch AAAI 2020 Pruning neural networks without any data by iteratively conserving synaptic flow NeurIPS 2020 Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior EMNLP 2020 PSForest: Improving Deep Forest via Feature Pooling and Error Screening ACML 2020 PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer CVPR 2020 PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings EMNLP 2020 Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point NeurIPS 2020 Putting Accountability of AI Systems into Practice IJCAI 2020 Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup ICML 2020 PyGlove: Symbolic Programming for Automated Machine Learning NeurIPS 2020 pyMMAX2: Deep Access to MMAX2 Projects from Python COLING 2020 Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020 Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings ACL 2020 Quantifying Attention Flow in Transformers ACL 2020 Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation EMNLP 2020 Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays MIDL 2020 Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020 Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation EMNLP 2020 Query Distillation: BERT-based Distillation for Ensemble Ranking COLING 2020 QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware WACV 2020 RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering ICLR 2020