Deep Learning
1,404 papers
Papers per year
3
4
3
5
11
4
5
4
26
50
68
106
163
131
138
164
279
234
6
'15
'20
'25
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