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Showing below up to 50 results in range #1 to #50.

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  1. "Why Should I Trust You?": Explaining the Predictions of Any Classifier
  2. 13Stat946papers
  3. ALBERT
  4. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
  5. A Bayesian Perspective on Generalization and Stochastic Gradient Descent
  6. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
  7. A Game Theoretic Approach to Class-wise Selective Rationalization
  8. A Knowledge-Grounded Neural Conversation Model
  9. A Neural Representation of Sketch Drawings
  10. A universal SNP and small-indel variant caller using deep neural networks
  11. Adacompress: Adaptive compression for online computer vision services
  12. Adversarial Attacks on Copyright Detection Systems
  13. Adversarial Fisher Vectors for Unsupervised Representation Learning
  14. Annotating Object Instances with a Polygon RNN
  15. Another look at distance-weighted discrimination
  16. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
  17. Augmix: New Data Augmentation method to increase the robustness of the algorithm
  18. Automatic Bank Fraud Detection Using Support Vector Machines
  19. BERTScore: Evaluating Text Generation with BERT
  20. Bag of Tricks for Efficient Text Classification
  21. Batch Normalization
  22. Batch Normalization Summary
  23. Bayesian Network as a Decision Tool for Predicting ALS Disease
  24. Being Bayesian about Categorical Probability
  25. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates
  26. Bsodjahi
  27. CRITICAL ANALYSIS OF SELF-SUPERVISION
  28. CapsuleNets
  29. CatBoost: unbiased boosting with categorical features
  30. Co-Teaching
  31. Conditional Image Synthesis with Auxiliary Classifier GANs
  32. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
  33. Convolutional Neural Networks for Sentence Classification
  34. Convolutional Sequence to Sequence Learning
  35. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases
  36. Countering Adversarial Images Using Input Transformations
  37. Curiosity-driven Exploration by Self-supervised Prediction
  38. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering
  39. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS
  40. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
  41. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION
  42. DeepVO Towards end to end visual odometry with deep RNN
  43. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition
  44. Deep Double Descent Where Bigger Models and More Data Hurt
  45. Deep Exploration via Bootstrapped DQN
  46. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
  47. Deep Learning for Extreme Multi-label Text Classification
  48. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
  49. Deep Residual Learning for Image Recognition
  50. Deep Residual Learning for Image Recognition Summary

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