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Deep Learning

1,856 papers

Papers per year

3
20
266
176
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Papers

Being Bayesian about Categorical Probability ICML 2020
Confidence-Aware Learning for Deep Neural Networks ICML 2020
Voice Separation with an Unknown Number of Multiple Speakers ICML 2020
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge ICML 2020
Predicting Choice with Set-Dependent Aggregation ICML 2020
Explicit Gradient Learning for Black-Box Optimization ICML 2020
Detecting Out-of-Distribution Examples with Gram Matrices ICML 2020
ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020
Deep Streaming Label Learning ICML 2020
Continuous Graph Neural Networks ICML 2020
Can Cross Entropy Loss Be Robust to Label Noise? IJCAI 2020
Human-Driven FOL Explanations of Deep Learning IJCAI 2020
FNNC: Achieving Fairness through Neural Networks IJCAI 2020
Improving Tandem Mass Spectra Analysis with Hierarchical Learning IJCAI 2020
Deep Learning for Community Detection: Progress, Challenges and Opportunities IJCAI 2020
Optimization Learning: Perspective, Method, and Applications IJCAI 2020
Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription INTERSPEECH 2020
End-to-End Far-Field Speech Recognition with Unified Dereverberation and Beamforming INTERSPEECH 2020
Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard INTERSPEECH 2020
Spoken Content and Voice Factorization for Few-Shot Speaker Adaptation INTERSPEECH 2020
ARET: Aggregated Residual Extended Time-Delay Neural Networks for Speaker Verification INTERSPEECH 2020
Text-Independent Speaker Verification with Dual Attention Network INTERSPEECH 2020
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition INTERSPEECH 2020
On the Robustness and Training Dynamics of Raw Waveform Models INTERSPEECH 2020