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Showing below up to 20 results in range #1 to #20.
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier
- ALBERT
- ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
- A Bayesian Perspective on Generalization and Stochastic Gradient Descent
- A Game Theoretic Approach to Class-wise Selective Rationalization
- A Knowledge-Grounded Neural Conversation Model
- A Neural Representation of Sketch Drawings
- A universal SNP and small-indel variant caller using deep neural networks
- Adacompress: Adaptive compression for online computer vision services
- Adversarial Fisher Vectors for Unsupervised Representation Learning
- Annotating Object Instances with a Polygon RNN
- Another look at distance-weighted discrimination
- Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
- Augmix: New Data Augmentation method to increase the robustness of the algorithm
- Automatic Bank Fraud Detection Using Support Vector Machines
- Bag of Tricks for Efficient Text Classification
- Batch Normalization
- Batch Normalization Summary
- Being Bayesian about Categorical Probability
- Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates