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Showing below up to 100 results in range #1 to #100.

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  1. "Why Should I Trust You?": Explaining the Predictions of Any Classifier
  3. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
  4. A Bayesian Perspective on Generalization and Stochastic Gradient Descent
  5. A Knowledge-Grounded Neural Conversation Model
  6. A Neural Representation of Sketch Drawings
  7. A universal SNP and small-indel variant caller using deep neural networks
  8. Adacompress: Adaptive compression for online computer vision services
  9. Adversarial Fisher Vectors for Unsupervised Representation Learning
  10. Annotating Object Instances with a Polygon RNN
  11. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
  12. Augmix: New Data Augmentation method to increase the robustness of the algorithm
  13. Bag of Tricks for Efficient Text Classification
  14. Batch Normalization
  15. Batch Normalization Summary
  16. Being Bayesian about Categorical Probability
  17. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates
  18. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
  20. CapsuleNets
  21. Co-Teaching
  22. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
  23. Convolutional Neural Networks for Sentence Classification
  24. Convolutional Sequence to Sequence Learning
  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
  30. DeepVO Towards end to end visual odometry with deep RNN
  31. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition
  32. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
  33. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
  34. Deep Residual Learning for Image Recognition
  35. Deep Transfer Learning with Joint Adaptation Networks
  36. Dense Passage Retrieval for Open-Domain Question Answering
  37. Describtion of Text Mining
  38. Do Deep Neural Networks Suffer from Crowding
  39. Dynamic Routing Between Capsules
  40. Dynamic Routing Between Capsules STAT946
  41. Dynamic Routing Between Capsulesl
  42. End-to-End Differentiable Adversarial Imitation Learning
  43. End to end Active Object Tracking via Reinforcement Learning
  44. Evaluating Machine Accuracy on ImageNet
  45. Extreme Multi-label Text Classification
  46. Fairness Without Demographics in Repeated Loss Minimization
  47. FeUdal Networks for Hierarchical Reinforcement Learning
  48. Fix your classifier: the marginal value of training the last weight layer
  49. From Variational to Deterministic Autoencoders
  50. Functional regularisation for continual learning with gaussian processes
  51. Generating Image Descriptions
  52. Going Deeper with Convolutions
  53. Gradient Episodic Memory for Continual Learning
  54. Graph Structure of Neural Networks
  55. Hash Embeddings for Efficient Word Representations
  56. Hierarchical Question-Image Co-Attention for Visual Question Answering
  57. IPBoost
  58. Imagination-Augmented Agents for Deep Reinforcement Learning
  59. Imagination Augmented Agents for Deep Reinforcement Learning
  60. Improving neural networks by preventing co-adaption of feature detectors
  61. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall
  62. Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
  63. Influenza Forecasting Framework based on Gaussian Processes
  64. Influenza Forecasting Framework based on Gaussian processes Summary
  65. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
  66. Learning Combinatorial Optimzation
  67. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data
  68. Learning to Navigate in Cities Without a Map
  69. Learning to Teach
  70. Loss Function Search for Face Recognition
  72. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
  73. MarrNet: 3D Shape Reconstruction via 2.5D Sketches
  74. Mask RCNN
  75. Memory-Based Parameter Adaptation
  76. Meta-Learning-For-Domain Generalization
  77. Meta-Learning For Domain Generalization
  78. ModelFramework.jpg
  79. Model Agnostic Learning of Semantic Features
  80. Multi-scale Dense Networks for Resource Efficient Image Classification
  81. Music Recommender System Based using CRNN
  82. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders
  83. Neural ODEs
  84. Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
  85. On The Convergence Of ADAM And Beyond
  86. One-Shot Imitation Learning
  87. One-Shot Object Detection with Co-Attention and Co-Excitation
  88. One pixel attack for fooling deep neural networks
  89. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
  90. Pixels to Graphs by Associative Embedding
  91. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
  92. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
  93. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval
  94. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval
  95. Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data
  96. Reinforcement Learning of Theorem Proving
  97. Representations of Words and Phrases and their Compositionality
  98. Research Papers Classification System
  99. Roberta
  100. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias

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