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Showing below up to 184 results in range #1 to #184.

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  1. "Why Should I Trust You?": Explaining the Predictions of Any Classifier
  2. ALBERT
  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
  19. CRITICAL ANALYSIS OF SELF-SUPERVISION
  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
  28. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
  29. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION
  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
  71. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION
  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
  101. Robust Imitation of Diverse Behaviors
  102. Robust Probabilistic Modeling with Bayesian Data Reweighting
  103. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study
  104. STAT946F17/Decoding with Value Networks for Neural Machine Translation
  105. STAT946F17/ Automated Curriculum Learning for Neural Networks
  106. STAT946F17/ Coupled GAN
  107. STAT946F17/ Dance Dance Convolution
  108. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow
  109. STAT946F17/ Learning Important Features Through Propagating Activation Differences
  110. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN
  111. STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback
  112. Searching For Efficient Multi Scale Architectures For Dense Image Prediction
  113. Self-Supervised Learning of Pretext-Invariant Representations
  114. Semantic Relation Classification——via Convolution Neural Network
  115. ShakeDrop Regularization
  116. Speech2Face: Learning the Face Behind a Voice
  117. Spherical CNNs
  118. Streaming Bayesian Inference for Crowdsourced Classification
  119. Summary - A Neural Representation of Sketch Drawings
  120. SuperGLUE
  121. Superhuman AI for Multiplayer Poker
  122. Surround Vehicle Motion Prediction
  123. Synthesizing Programs for Images usingReinforced Adversarial Learning
  124. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS
  125. Task Understanding from Confushing Multitask Data
  126. Task Understanding from Confusing Multi-task Data
  127. The Curious Case of Degeneration
  128. This Looks Like That: Deep Learning for Interpretable Image Recognition
  129. Time-series Generative Adversarial Networks
  130. Towards Deep Learning Models Resistant to Adversarial Attacks
  131. Training And Inference with Integers in Deep Neural Networks
  132. Understanding Image Motion with Group Representations
  133. Universal Style Transfer via Feature Transforms
  134. Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
  135. Unsupervised Machine Translation Using Monolingual Corpora Only
  136. Unsupervised Neural Machine Translation
  137. Visual Reinforcement Learning with Imagined Goals
  138. Wasserstein Auto-Encoders
  139. Wasserstein Auto-encoders
  140. Wavelet Pooling CNN
  141. When Does Self-Supervision Improve Few-Shot Learning?
  142. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary
  143. Word translation without parallel data
  144. XGBoost: A Scalable Tree Boosting System
  145. Zero-Shot Visual Imitation
  146. a fair comparison of graph neural networks for graph classification
  147. a neural representation of sketch drawings
  148. conditional neural process
  149. learn what not to learn
  150. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
  151. orthogonal gradient descent for continual learning
  152. policy optimization with demonstrations
  153. stat441F18/TCNLM
  154. stat441F18/YOLO
  155. stat441w18/A New Method of Region Embedding for Text Classification
  156. stat441w18/Convolutional Neural Networks for Sentence Classification
  157. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction
  158. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction
  159. stat441w18/e-gan
  160. stat441w18/mastering-chess-and-shogi-self-play
  161. stat441w18/summary 1
  162. stat841F18/
  163. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series
  164. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs
  165. stat946F18/differentiableplasticity
  166. stat946F20/GradientLess Descent
  167. stat946w18/
  168. stat946w18/AmbientGAN: Generative Models from Lossy Measurements
  169. stat946w18/Hierarchical Representations for Efficient Architecture Search
  170. stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT
  171. stat946w18/Implicit Causal Models for Genome-wide Association Studies
  172. stat946w18/MaskRNN: Instance Level Video Object Segmentation
  173. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
  174. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers
  175. stat946w18/Self Normalizing Neural Networks
  176. stat946w18/Spectral
  177. stat946w18/Spectral normalization for generative adversial network
  178. stat946w18/Synthetic and natural noise both break neural machine translation
  179. stat946w18/Tensorized LSTMs
  180. stat946w18/Towards Image Understanding From Deep Compression Without Decoding
  181. stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only
  182. stat946w18/Wavelet Pooling For Convolutional Neural Networks
  183. time-series-using-GAN
  184. what game are we playing

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