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Showing below up to 130 results in range #301 to #430.

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  1. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series‏‎ (10:13, 14 December 2018)
  2. F18-STAT946-Proposal‏‎ (15:50, 14 December 2018)
  3. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (17:49, 14 December 2018)
  4. Searching For Efficient Multi Scale Architectures For Dense Image Prediction‏‎ (18:12, 14 December 2018)
  5. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias‏‎ (18:21, 14 December 2018)
  6. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs‏‎ (18:21, 16 December 2018)
  7. Pixels to Graphs by Associative Embedding‏‎ (18:26, 16 December 2018)
  8. End to end Active Object Tracking via Reinforcement Learning‏‎ (18:27, 16 December 2018)
  9. stat946F18/differentiableplasticity‏‎ (18:28, 16 December 2018)
  10. DeepVO Towards end to end visual odometry with deep RNN‏‎ (18:30, 16 December 2018)
  11. Synthesizing Programs for Images usingReinforced Adversarial Learning‏‎ (18:31, 16 December 2018)
  12. Learning to Teach‏‎ (18:40, 16 December 2018)
  13. Annotating Object Instances with a Polygon RNN‏‎ (18:41, 16 December 2018)
  14. Zero-Shot Visual Imitation‏‎ (18:42, 16 December 2018)
  15. Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data‏‎ (18:43, 16 December 2018)
  16. Countering Adversarial Images Using Input Transformations‏‎ (18:45, 16 December 2018)
  17. Learning to Navigate in Cities Without a Map‏‎ (00:24, 17 December 2018)
  18. conditional neural process‏‎ (00:26, 17 December 2018)
  19. Unsupervised Neural Machine Translation‏‎ (00:28, 17 December 2018)
  20. policy optimization with demonstrations‏‎ (00:32, 17 December 2018)
  21. ShakeDrop Regularization‏‎ (00:34, 17 December 2018)
  22. CapsuleNets‏‎ (00:36, 17 December 2018)
  23. Fix your classifier: the marginal value of training the last weight layer‏‎ (00:39, 17 December 2018)
  24. a neural representation of sketch drawings‏‎ (00:40, 17 December 2018)
  25. Fairness Without Demographics in Repeated Loss Minimization‏‎ (00:42, 17 December 2018)
  26. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE‏‎ (13:28, 17 December 2018)
  27. learn what not to learn‏‎ (13:38, 17 December 2018)
  28. stat441F18‏‎ (11:33, 5 September 2020)
  29. f11Stat841presentation‏‎ (12:49, 6 October 2020)
  30. f11Stat841proposal‏‎ (14:56, 11 October 2020)
  31. stat946F20/GradientLess Descent‏‎ (16:17, 31 October 2020)
  32. ALBERT‏‎ (11:44, 2 November 2020)
  33. Meta-Learning-For-Domain Generalization‏‎ (15:47, 9 November 2020)
  34. Task Understanding from Confushing Multitask Data‏‎ (19:25, 15 November 2020)
  35. Influenza Forecasting Framework based on Gaussian processes Summary‏‎ (00:02, 16 November 2020)
  36. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval‏‎ (19:52, 17 November 2020)
  37. stat841f11‏‎ (12:30, 18 November 2020)
  38. f17Stat946PaperSignUp‏‎ (19:28, 19 November 2020)
  39. ModelFramework.jpg‏‎ (13:14, 24 November 2020)
  40. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall‏‎ (22:41, 26 November 2020)
  41. time-series-using-GAN‏‎ (21:02, 1 December 2020)
  42. From Variational to Deterministic Autoencoders‏‎ (19:11, 2 December 2020)
  43. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (23:20, 4 December 2020)
  44. IPBoost‏‎ (00:18, 5 December 2020)
  45. Semantic Relation Classification——via Convolution Neural Network‏‎ (21:25, 5 December 2020)
  46. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates‏‎ (06:58, 6 December 2020)
  47. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations‏‎ (15:51, 6 December 2020)
  48. SuperGLUE‏‎ (16:58, 6 December 2020)
  49. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS‏‎ (17:02, 6 December 2020)
  50. Adversarial Fisher Vectors for Unsupervised Representation Learning‏‎ (17:50, 6 December 2020)
  51. Augmix: New Data Augmentation method to increase the robustness of the algorithm‏‎ (18:44, 6 December 2020)
  52. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (19:42, 6 December 2020)
  53. One-Shot Object Detection with Co-Attention and Co-Excitation‏‎ (21:53, 6 December 2020)
  54. what game are we playing‏‎ (23:55, 6 December 2020)
  55. Going Deeper with Convolutions‏‎ (00:29, 7 December 2020)
  56. Meta-Learning For Domain Generalization‏‎ (00:41, 7 December 2020)
  57. a fair comparison of graph neural networks for graph classification‏‎ (00:54, 7 December 2020)
  58. Influenza Forecasting Framework based on Gaussian Processes‏‎ (14:13, 7 December 2020)
  59. Neural ODEs‏‎ (15:01, 7 December 2020)
  60. Adversarial Attacks on Copyright Detection Systems‏‎ (15:03, 7 December 2020)
  61. Task Understanding from Confusing Multi-task Data‏‎ (15:35, 7 December 2020)
  62. Graph Structure of Neural Networks‏‎ (17:06, 7 December 2020)
  63. Extreme Multi-label Text Classification‏‎ (22:04, 7 December 2020)
  64. Mask RCNN‏‎ (22:37, 7 December 2020)
  65. Dense Passage Retrieval for Open-Domain Question Answering‏‎ (22:57, 7 December 2020)
  66. Functional regularisation for continual learning with gaussian processes‏‎ (23:25, 7 December 2020)
  67. orthogonal gradient descent for continual learning‏‎ (23:30, 7 December 2020)
  68. Superhuman AI for Multiplayer Poker‏‎ (00:06, 8 December 2020)
  69. Adacompress: Adaptive compression for online computer vision services‏‎ (00:07, 8 December 2020)
  70. Summary for survey of neural networked-based cancer prediction models from microarray data‏‎ (00:08, 8 December 2020)
  71. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations‏‎ (21:39, 9 December 2020)
  72. GradientLess Descent‏‎ (22:06, 9 December 2020)
  73. This Looks Like That: Deep Learning for Interpretable Image Recognition‏‎ (23:36, 9 December 2020)
  74. The Curious Case of Degeneration‏‎ (05:41, 10 December 2020)
  75. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION‏‎ (06:07, 10 December 2020)
  76. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding‏‎ (06:36, 10 December 2020)
  77. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval‏‎ (22:17, 12 December 2020)
  78. Self-Supervised Learning of Pretext-Invariant Representations‏‎ (23:02, 12 December 2020)
  79. CRITICAL ANALYSIS OF SELF-SUPERVISION‏‎ (00:08, 13 December 2020)
  80. Time-series Generative Adversarial Networks‏‎ (00:28, 13 December 2020)
  81. Roberta‏‎ (00:54, 13 December 2020)
  82. BERTScore: Evaluating Text Generation with BERT‏‎ (01:32, 13 December 2020)
  83. When Does Self-Supervision Improve Few-Shot Learning?‏‎ (01:46, 13 December 2020)
  84. Model Agnostic Learning of Semantic Features‏‎ (01:58, 13 December 2020)
  85. Surround Vehicle Motion Prediction‏‎ (23:12, 14 December 2020)
  86. Evaluating Machine Accuracy on ImageNet‏‎ (00:08, 15 December 2020)
  87. Speech2Face: Learning the Face Behind a Voice‏‎ (03:36, 15 December 2020)
  88. Research Papers Classification System‏‎ (04:18, 15 December 2020)
  89. Describtion of Text Mining‏‎ (05:11, 15 December 2020)
  90. Improving neural networks by preventing co-adaption of feature detectors‏‎ (05:51, 15 December 2020)
  91. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms‏‎ (07:19, 15 December 2020)
  92. Loss Function Search for Face Recognition‏‎ (09:51, 15 December 2020)
  93. Being Bayesian about Categorical Probability‏‎ (10:57, 15 December 2020)
  94. Efficient kNN Classification with Different Numbers of Nearest Neighbors‏‎ (03:46, 16 December 2020)
  95. A universal SNP and small-indel variant caller using deep neural networks‏‎ (04:24, 16 December 2020)
  96. Music Recommender System Based using CRNN‏‎ (04:38, 16 December 2020)
  97. Neural Speed Reading via Skim-RNN‏‎ (05:09, 16 December 2020)
  98. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence‏‎ (05:15, 16 December 2020)
  99. main Page‏‎ (22:53, 5 September 2021)
  100. Don't Just Blame Over-parametrization Summary‏‎ (23:54, 9 November 2021)
  101. Another look at distance-weighted discrimination‏‎ (03:02, 13 November 2021)
  102. Deep Learning for Extreme Multi-label Text Classification‏‎ (21:50, 13 November 2021)
  103. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains‏‎ (00:44, 14 November 2021)
  104. The Detection of Black Ice Accidents Using CNNs‏‎ (15:54, 14 November 2021)
  105. Don't Just Blame Over-parametrization‏‎ (19:11, 15 November 2021)
  106. Do Vision Transformers See Like CNN‏‎ (00:11, 17 November 2021)
  107. Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification‏‎ (14:07, 19 November 2021)
  108. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (09:46, 20 November 2021)
  109. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (21:29, 20 November 2021)
  110. Dialog-based Language Learning‏‎ (13:59, 21 November 2021)
  111. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (14:56, 21 November 2021)
  112. Bsodjahi‏‎ (13:46, 22 November 2021)
  113. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (00:30, 23 November 2021)
  114. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree‏‎ (01:45, 23 November 2021)
  115. CatBoost: unbiased boosting with categorical features‏‎ (02:36, 23 November 2021)
  116. Automatic Bank Fraud Detection Using Support Vector Machines‏‎ (19:07, 24 November 2021)
  117. A Game Theoretic Approach to Class-wise Selective Rationalization‏‎ (13:14, 25 November 2021)
  118. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary‏‎ (01:41, 26 November 2021)
  119. test‏‎ (17:39, 26 November 2021)
  120. Poison Frogs Neural Networks‏‎ (18:29, 26 November 2021)
  121. Robust Imitation Learning from Noisy Demonstrations‏‎ (19:23, 27 November 2021)
  122. Wide and Deep Learning for Recommender Systems‏‎ (04:28, 1 December 2021)
  123. stat441F21‏‎ (04:28, 1 December 2021)
  124. stat940F21‏‎ (23:29, 1 December 2021)
  125. Deep Residual Learning for Image Recognition Summary‏‎ (12:01, 3 December 2021)
  126. XGBoost‏‎ (02:21, 5 December 2021)
  127. F21-STAT 940-Proposal‏‎ (12:50, 16 December 2021)
  128. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network‏‎ (18:44, 17 December 2021)
  129. F21-STAT 441/841 CM 763-Proposal‏‎ (09:48, 22 December 2021)
  130. Bayesian Network as a Decision Tool for Predicting ALS Disease‏‎ (10:31, 17 May 2022)

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