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Deep Learning

1397 directly classified papers

Papers per year

Papers

The Implicit and Explicit Regularization Effects of Dropout ICML 2020
Bridging the Gap Between f-GANs and Wasserstein GANs ICML 2020
Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands L4DC 2020
On the Generalization Benefit of Noise in Stochastic Gradient Descent ICML 2020
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty UAI 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity ICML 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention ICML 2020
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization ICML 2020
Do We Need Zero Training Loss After Achieving Zero Training Error? ICML 2020
Combination of Neural Machine Translation Systems at WMT20 EMNLP 2020
The Ubiqus English-Inuktitut System for WMT20 EMNLP 2020
Challenges in Neural Language Identification: NRC at VarDial 2020 COLING 2020
Multi-class Novelty Detection Using Mix-up Technique WACV 2020
A dual-encoding system for dialect classification COLING 2020
Impact of Politically Biased Data on Hate Speech Classification EMNLP 2020
Reducing Unintended Identity Bias in Russian Hate Speech Detection EMNLP 2020
Improving generalization by controlling label-noise information in neural network weights ICML 2020
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust ICML 2020
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators AAAI 2020
Universal Adversarial Training AAAI 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020
Local Regularizer Improves Generalization AAAI 2020
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment AAAI 2020
New Efficient Multi-Spike Learning for Fast Processing and Robust Learning AAAI 2020