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Deep Learning

1,404 papers

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Papers

On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020 On the Generalization Benefit of Noise in Stochastic Gradient Descent ICML 2020 On Warm-Starting Neural Network Training NeurIPS 2020 Opportunistic Decoding with Timely Correction for Simultaneous Translation ACL 2020 Particle Filter Recurrent Neural Networks AAAI 2020 Predicting Choice with Set-Dependent Aggregation ICML 2020 Predicting Propositional Satisfiability via End-to-End Learning AAAI 2020 Proxy Anchor Loss for Deep Metric Learning CVPR 2020 PuzzLing Machines: A Challenge on Learning From Small Data ACL 2020 Quantifying Intimacy in Language EMNLP 2020 Rational neural networks NeurIPS 2020 Reducing Unintended Identity Bias in Russian Hate Speech Detection EMNLP 2020 Regional Tree Regularization for Interpretability in Deep Neural Networks AAAI 2020 Reinforcing Neural Network Stability with Attractor Dynamics AAAI 2020 Residual Continual Learning AAAI 2020 RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework AAAI 2020 RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network CVPR 2020 Samsung R&D Institute Poland submission to WMT20 News Translation Task EMNLP 2020 ScaleNet - Improve CNNs through Recursively Rescaling Objects AAAI 2020 Scaling Systematic Literature Reviews with Machine Learning Pipelines EMNLP 2020 SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction. EMNLP 2020 SCOUT: Self-Aware Discriminant Counterfactual Explanations CVPR 2020 Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization CVPR 2020 Self-Attention ConvLSTM for Spatiotemporal Prediction AAAI 2020 Self-Attentive Hawkes Process ICML 2020