Co-occurring keywords · papers mentioning both
Papers
Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation
AAAI 2020
Attentive Pooling with Learnable Norms for Text Representation
ACL 2020
Attentive User-Engaged Adversarial Neural Network for Community Question Answering
AAAI 2020
Audio-Visual Speaker Recognition with a Cross-Modal Discriminative Network
Interspeech 2020
AugFPN: Improving Multi-Scale Feature Learning for Object Detection
CVPR 2020
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
ICLR 2020
Augmenting Neural Metaphor Detection with Concreteness
ACL 2020
Authorship Attribution for Neural Text Generation
EMNLP 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
AAAI 2020
Automatic Distractor Generation for Multiple Choice Questions in Standard Tests
COLING 2020
Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature
EMNLP 2020
Automatic Poetry Generation from Prosaic Text
ACL 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
ICML 2020
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses
AAAI 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples
NeurIPS 2020
Balancing Training for Multilingual Neural Machine Translation
ACL 2020
BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning
ICLR 2020
Batch-shaping for learning conditional channel gated networks
ICLR 2020
Bayesian Bits: Unifying Quantization and Pruning
NeurIPS 2020
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
ICML 2020
Bayesian Sparsification of Deep C-valued Networks
ICML 2020
Belief Propagation Neural Networks
NeurIPS 2020
Benchmarking Automated Review Response Generation for the Hospitality Domain
COLING 2020
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method
NeurIPS 2020
Benchmarking Deep Learning Interpretability in Time Series Predictions
NeurIPS 2020