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Showing below up to 160 results in range #51 to #210.

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  1. Don't Just Blame Over-parametrization Summary
  2. Dynamic Routing Between Capsules
  3. Dynamic Routing Between Capsules STAT946
  4. Dynamic Routing Between Capsulesl
  5. End-to-End Differentiable Adversarial Imitation Learning
  6. End to end Active Object Tracking via Reinforcement Learning
  7. Evaluating Machine Accuracy on ImageNet
  8. Extreme Multi-label Text Classification
  9. Fairness Without Demographics in Repeated Loss Minimization
  10. FeUdal Networks for Hierarchical Reinforcement Learning
  11. Fix your classifier: the marginal value of training the last weight layer
  12. From Variational to Deterministic Autoencoders
  13. Functional regularisation for continual learning with gaussian processes
  14. Generating Image Descriptions
  15. Going Deeper with Convolutions
  16. GradientLess Descent
  17. Gradient Episodic Memory for Continual Learning
  18. Graph Structure of Neural Networks
  19. Hash Embeddings for Efficient Word Representations
  20. Hierarchical Question-Image Co-Attention for Visual Question Answering
  21. IPBoost
  22. Imagination-Augmented Agents for Deep Reinforcement Learning
  23. Imagination Augmented Agents for Deep Reinforcement Learning
  24. Improving neural networks by preventing co-adaption of feature detectors
  25. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall
  26. Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
  27. Influenza Forecasting Framework based on Gaussian Processes
  28. Influenza Forecasting Framework based on Gaussian processes Summary
  29. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
  30. Learning Combinatorial Optimzation
  31. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data
  32. Learning to Navigate in Cities Without a Map
  33. Learning to Teach
  34. Loss Function Search for Face Recognition
  35. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION
  36. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
  37. MarrNet: 3D Shape Reconstruction via 2.5D Sketches
  38. Mask RCNN
  39. Memory-Based Parameter Adaptation
  40. Meta-Learning-For-Domain Generalization
  41. Meta-Learning For Domain Generalization
  42. ModelFramework.jpg
  43. Model Agnostic Learning of Semantic Features
  44. Multi-scale Dense Networks for Resource Efficient Image Classification
  45. Music Recommender System Based using CRNN
  46. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders
  47. Neural ODEs
  48. Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
  49. On The Convergence Of ADAM And Beyond
  50. One-Shot Imitation Learning
  51. One-Shot Object Detection with Co-Attention and Co-Excitation
  52. One pixel attack for fooling deep neural networks
  53. Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification
  54. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
  55. Pixels to Graphs by Associative Embedding
  56. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
  57. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
  58. Poison Frogs Neural Networks
  59. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval
  60. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval
  61. Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data
  62. Predicting Hurricane Trajectories Using a Recurrent Neural Network
  63. Reinforcement Learning of Theorem Proving
  64. Representations of Words and Phrases and their Compositionality
  65. Research Papers Classification System
  66. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree
  67. Roberta
  68. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
  69. Robust Imitation Learning from Noisy Demonstrations
  70. Robust Imitation of Diverse Behaviors
  71. Robust Probabilistic Modeling with Bayesian Data Reweighting
  72. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study
  73. STAT946F17/Decoding with Value Networks for Neural Machine Translation
  74. STAT946F17/ Automated Curriculum Learning for Neural Networks
  75. STAT946F17/ Coupled GAN
  76. STAT946F17/ Dance Dance Convolution
  77. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow
  78. STAT946F17/ Learning Important Features Through Propagating Activation Differences
  79. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN
  80. STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback
  81. Searching For Efficient Multi Scale Architectures For Dense Image Prediction
  82. Self-Supervised Learning of Pretext-Invariant Representations
  83. Semantic Relation Classification——via Convolution Neural Network
  84. ShakeDrop Regularization
  85. Speech2Face: Learning the Face Behind a Voice
  86. Spherical CNNs
  87. Streaming Bayesian Inference for Crowdsourced Classification
  88. Summary - A Neural Representation of Sketch Drawings
  89. Summary of A Probabilistic Approach to Neural Network Pruning
  90. SuperGLUE
  91. Superhuman AI for Multiplayer Poker
  92. Surround Vehicle Motion Prediction
  93. Synthesizing Programs for Images usingReinforced Adversarial Learning
  94. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS
  95. Task Understanding from Confushing Multitask Data
  96. Task Understanding from Confusing Multi-task Data
  97. The Curious Case of Degeneration
  98. The Detection of Black Ice Accidents Using CNNs
  99. This Looks Like That: Deep Learning for Interpretable Image Recognition
  100. Time-series Generative Adversarial Networks
  101. Towards Deep Learning Models Resistant to Adversarial Attacks
  102. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network
  103. Training And Inference with Integers in Deep Neural Networks
  104. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary
  105. Understanding Image Motion with Group Representations
  106. Universal Style Transfer via Feature Transforms
  107. Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
  108. Unsupervised Machine Translation Using Monolingual Corpora Only
  109. Unsupervised Neural Machine Translation
  110. Visual Reinforcement Learning with Imagined Goals
  111. Wasserstein Auto-Encoders
  112. Wasserstein Auto-encoders
  113. Wavelet Pooling CNN
  114. When Does Self-Supervision Improve Few-Shot Learning?
  115. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary
  116. Wide and Deep Learning for Recommender Systems
  117. Word translation without parallel data
  118. XGBoost
  119. XGBoost: A Scalable Tree Boosting System
  120. Zero-Shot Visual Imitation
  121. a fair comparison of graph neural networks for graph classification
  122. a neural representation of sketch drawings
  123. conditional neural process
  124. learn what not to learn
  125. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
  126. orthogonal gradient descent for continual learning
  127. policy optimization with demonstrations
  128. stat441F18/TCNLM
  129. stat441F18/YOLO
  130. stat441w18/A New Method of Region Embedding for Text Classification
  131. stat441w18/Convolutional Neural Networks for Sentence Classification
  132. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction
  133. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction
  134. stat441w18/e-gan
  135. stat441w18/mastering-chess-and-shogi-self-play
  136. stat441w18/summary 1
  137. stat841F18/
  138. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series
  139. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs
  140. stat946F18/differentiableplasticity
  141. stat946F20/GradientLess Descent
  142. stat946w18/
  143. stat946w18/AmbientGAN: Generative Models from Lossy Measurements
  144. stat946w18/Hierarchical Representations for Efficient Architecture Search
  145. stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT
  146. stat946w18/Implicit Causal Models for Genome-wide Association Studies
  147. stat946w18/MaskRNN: Instance Level Video Object Segmentation
  148. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
  149. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers
  150. stat946w18/Self Normalizing Neural Networks
  151. stat946w18/Spectral
  152. stat946w18/Spectral normalization for generative adversial network
  153. stat946w18/Synthetic and natural noise both break neural machine translation
  154. stat946w18/Tensorized LSTMs
  155. stat946w18/Towards Image Understanding From Deep Compression Without Decoding
  156. stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only
  157. stat946w18/Wavelet Pooling For Convolutional Neural Networks
  158. test
  159. time-series-using-GAN
  160. what game are we playing

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