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Showing below up to 100 results in range #101 to #200.

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  1. Loss Function Search for Face Recognition
  2. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION
  3. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
  4. MarrNet: 3D Shape Reconstruction via 2.5D Sketches
  5. Mask RCNN
  6. Memory-Based Parameter Adaptation
  7. Meta-Learning-For-Domain Generalization
  8. Meta-Learning For Domain Generalization
  9. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  10. ModelFramework.jpg
  11. Model Agnostic Learning of Semantic Features
  12. Modular Multitask Reinforcement Learning with Policy Sketches
  13. Multi-scale Dense Networks for Resource Efficient Image Classification
  14. Music Recommender System Based using CRNN
  15. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders
  16. Neural ODEs
  17. Neural Speed Reading via Skim-RNN
  18. Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
  19. On The Convergence Of ADAM And Beyond
  20. One-Shot Imitation Learning
  21. One-Shot Object Detection with Co-Attention and Co-Excitation
  22. One pixel attack for fooling deep neural networks
  23. Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification
  24. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
  25. Pixels to Graphs by Associative Embedding
  26. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
  27. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
  28. Poison Frogs Neural Networks
  29. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval
  30. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval
  31. Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data
  32. Predicting Hurricane Trajectories Using a Recurrent Neural Network
  33. Proposal for STAT946 (Deep Learning) final projects Fall 2017
  34. Reinforcement Learning of Theorem Proving
  35. Representations of Words and Phrases and their Compositionality
  36. Research Papers Classification System
  37. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree
  38. Roberta
  39. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
  40. Robust Imitation Learning from Noisy Demonstrations
  41. Robust Imitation of Diverse Behaviors
  42. Robust Probabilistic Modeling with Bayesian Data Reweighting
  43. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study
  44. STAT946F17/Conditional Image Generation with PixelCNN Decoders
  45. STAT946F17/Decoding with Value Networks for Neural Machine Translation
  46. STAT946F17/ Automated Curriculum Learning for Neural Networks
  47. STAT946F17/ Coupled GAN
  48. STAT946F17/ Dance Dance Convolution
  49. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow
  50. STAT946F17/ Learning Important Features Through Propagating Activation Differences
  51. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN
  52. STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback
  53. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  54. Searching For Efficient Multi Scale Architectures For Dense Image Prediction
  55. Self-Supervised Learning of Pretext-Invariant Representations
  56. Semantic Relation Classification——via Convolution Neural Network
  57. ShakeDrop Regularization
  58. Speech2Face: Learning the Face Behind a Voice
  59. Spherical CNNs
  60. Streaming Bayesian Inference for Crowdsourced Classification
  61. Summary - A Neural Representation of Sketch Drawings
  62. Summary for survey of neural networked-based cancer prediction models from microarray data
  63. Summary of A Probabilistic Approach to Neural Network Pruning
  64. SuperGLUE
  65. Superhuman AI for Multiplayer Poker
  66. Surround Vehicle Motion Prediction
  67. Synthesizing Programs for Images usingReinforced Adversarial Learning
  68. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS
  69. Task Understanding from Confushing Multitask Data
  70. Task Understanding from Confusing Multi-task Data
  71. The Curious Case of Degeneration
  72. The Detection of Black Ice Accidents Using CNNs
  73. This Looks Like That: Deep Learning for Interpretable Image Recognition
  74. Time-series Generative Adversarial Networks
  75. Towards Deep Learning Models Resistant to Adversarial Attacks
  76. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network
  77. Training And Inference with Integers in Deep Neural Networks
  78. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary
  79. Understanding Image Motion with Group Representations
  80. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
  81. Universal Style Transfer via Feature Transforms
  82. Unsupervised Domain Adaptation with Residual Transfer Networks
  83. Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
  84. Unsupervised Machine Translation Using Monolingual Corpora Only
  85. Unsupervised Neural Machine Translation
  86. Visual Reinforcement Learning with Imagined Goals
  87. Wasserstein Auto-Encoders
  88. Wasserstein Auto-encoders
  89. Wavelet Pooling CNN
  90. When Does Self-Supervision Improve Few-Shot Learning?
  91. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary
  92. Wide and Deep Learning for Recommender Systems
  93. Word translation without parallel data
  94. XGBoost
  95. XGBoost: A Scalable Tree Boosting System
  96. Zero-Shot Visual Imitation
  97. a Deeper Look into Importance Sampling
  98. a Direct Formulation For Sparse PCA Using Semidefinite Programming
  99. a Dynamic Bayesian Network Click Model for web search ranking
  100. a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis

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