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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
  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 Knowledge-Grounded Neural Conversation Model
  8. A Neural Representation of Sketch Drawings
  9. A universal SNP and small-indel variant caller using deep neural networks
  10. Adacompress: Adaptive compression for online computer vision services
  11. Adversarial Attacks on Copyright Detection Systems
  12. Adversarial Fisher Vectors for Unsupervised Representation Learning
  13. Annotating Object Instances with a Polygon RNN
  14. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
  15. Augmix: New Data Augmentation method to increase the robustness of the algorithm
  16. BERTScore: Evaluating Text Generation with BERT
  17. Bag of Tricks for Efficient Text Classification
  18. Batch Normalization
  19. Batch Normalization Summary
  20. Being Bayesian about Categorical Probability
  21. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates
  22. CRITICAL ANALYSIS OF SELF-SUPERVISION
  23. CapsuleNets
  24. Co-Teaching
  25. Conditional Image Synthesis with Auxiliary Classifier GANs
  26. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
  27. Convolutional Neural Networks for Sentence Classification
  28. Convolutional Sequence to Sequence Learning
  29. Countering Adversarial Images Using Input Transformations
  30. Curiosity-driven Exploration by Self-supervised Prediction
  31. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering
  32. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS
  33. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
  34. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION
  35. DeepVO Towards end to end visual odometry with deep RNN
  36. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition
  37. Deep Exploration via Bootstrapped DQN
  38. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
  39. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
  40. Deep Residual Learning for Image Recognition
  41. Deep Transfer Learning with Joint Adaptation Networks
  42. Dense Passage Retrieval for Open-Domain Question Answering
  43. Describtion of Text Mining
  44. Dialog-based Language Learning
  45. Do Deep Neural Networks Suffer from Crowding
  46. Dynamic Routing Between Capsules
  47. Dynamic Routing Between Capsules STAT946
  48. Dynamic Routing Between Capsulesl
  49. Efficient kNN Classification with Different Numbers of Nearest Neighbors
  50. End-to-End Differentiable Adversarial Imitation Learning
  51. End to end Active Object Tracking via Reinforcement Learning
  52. Evaluating Machine Accuracy on ImageNet
  53. Extreme Multi-label Text Classification
  54. F18-STAT841-Proposal
  55. F18-STAT946-Proposal
  56. F20-STAT 441/841 CM 763-Proposal
  57. F20-STAT 946-Proposal
  58. Fairness Without Demographics in Repeated Loss Minimization
  59. FeUdal Networks for Hierarchical Reinforcement Learning
  60. Fix your classifier: the marginal value of training the last weight layer
  61. From Variational to Deterministic Autoencoders
  62. Functional regularisation for continual learning with gaussian processes
  63. Generating Image Descriptions
  64. Going Deeper with Convolutions
  65. GradientLess Descent
  66. Gradient Episodic Memory for Continual Learning
  67. Graph Structure of Neural Networks
  68. Hash Embeddings for Efficient Word Representations
  69. Hierarchical Question-Image Co-Attention for Visual Question Answering
  70. Hierarchical Representations for Efficient Architecture Search
  71. IPBoost
  72. Imagination-Augmented Agents for Deep Reinforcement Learning
  73. Imagination Augmented Agents for Deep Reinforcement Learning
  74. Improving neural networks by preventing co-adaption of feature detectors
  75. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall
  76. Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
  77. Influenza Forecasting Framework based on Gaussian Processes
  78. Influenza Forecasting Framework based on Gaussian processes Summary
  79. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
  80. Learning Combinatorial Optimzation
  81. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data
  82. Learning What and Where to Draw
  83. Learning the Number of Neurons in Deep Networks
  84. Learning to Navigate in Cities Without a Map
  85. Learning to Teach
  86. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
  87. Loss Function Search for Face Recognition
  88. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION
  89. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
  90. MarrNet: 3D Shape Reconstruction via 2.5D Sketches
  91. Mask RCNN
  92. Memory-Based Parameter Adaptation
  93. Meta-Learning-For-Domain Generalization
  94. Meta-Learning For Domain Generalization
  95. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  96. ModelFramework.jpg
  97. Model Agnostic Learning of Semantic Features
  98. Modular Multitask Reinforcement Learning with Policy Sketches
  99. Multi-scale Dense Networks for Resource Efficient Image Classification
  100. Music Recommender System Based using CRNN

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