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Showing below up to 50 results in range #11 to #60.

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  1. Adversarial Attacks on Copyright Detection Systems
  2. Adversarial Fisher Vectors for Unsupervised Representation Learning
  3. Annotating Object Instances with a Polygon RNN
  4. Another look at distance-weighted discrimination
  5. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
  6. Augmix: New Data Augmentation method to increase the robustness of the algorithm
  7. Automatic Bank Fraud Detection Using Support Vector Machines
  8. BERTScore: Evaluating Text Generation with BERT
  9. Bag of Tricks for Efficient Text Classification
  10. Batch Normalization
  11. Batch Normalization Summary
  12. Bayesian Network as a Decision Tool for Predicting ALS Disease
  13. Being Bayesian about Categorical Probability
  14. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates
  15. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
  16. Bsodjahi
  17. CRITICAL ANALYSIS OF SELF-SUPERVISION
  18. CapsuleNets
  19. CatBoost: unbiased boosting with categorical features
  20. Co-Teaching
  21. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
  22. Convolutional Neural Networks for Sentence Classification
  23. Convolutional Sequence to Sequence Learning
  24. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases
  25. Countering Adversarial Images Using Input Transformations
  26. Curiosity-driven Exploration by Self-supervised Prediction
  27. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering
  28. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS
  29. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
  30. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION
  31. DeepVO Towards end to end visual odometry with deep RNN
  32. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition
  33. Deep Double Descent Where Bigger Models and More Data Hurt
  34. Deep Exploration via Bootstrapped DQN
  35. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
  36. Deep Learning for Extreme Multi-label Text Classification
  37. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
  38. Deep Residual Learning for Image Recognition
  39. Deep Residual Learning for Image Recognition Summary
  40. Deep Transfer Learning with Joint Adaptation Networks
  41. Dense Passage Retrieval for Open-Domain Question Answering
  42. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
  43. Describtion of Text Mining
  44. Dialog-based Language Learning
  45. Do Deep Neural Networks Suffer from Crowding
  46. Do Vision Transformers See Like CNN
  47. Don't Just Blame Over-parametrization
  48. Don't Just Blame Over-parametrization Summary
  49. Dynamic Routing Between Capsules
  50. Dynamic Routing Between Capsules STAT946

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