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Showing below up to 210 results in range #1 to #210.

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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 Game Theoretic Approach to Class-wise Selective Rationalization
  6. A Knowledge-Grounded Neural Conversation Model
  7. A Neural Representation of Sketch Drawings
  8. A universal SNP and small-indel variant caller using deep neural networks
  9. Adacompress: Adaptive compression for online computer vision services
  10. Adversarial Fisher Vectors for Unsupervised Representation Learning
  11. Annotating Object Instances with a Polygon RNN
  12. Another look at distance-weighted discrimination
  13. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
  14. Augmix: New Data Augmentation method to increase the robustness of the algorithm
  15. Automatic Bank Fraud Detection Using Support Vector Machines
  16. Bag of Tricks for Efficient Text Classification
  17. Batch Normalization
  18. Batch Normalization Summary
  19. Being Bayesian about Categorical Probability
  20. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates
  21. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
  22. Bsodjahi
  23. CRITICAL ANALYSIS OF SELF-SUPERVISION
  24. CapsuleNets
  25. CatBoost: unbiased boosting with categorical features
  26. Co-Teaching
  27. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
  28. Convolutional Neural Networks for Sentence Classification
  29. Convolutional Sequence to Sequence Learning
  30. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases
  31. Countering Adversarial Images Using Input Transformations
  32. Curiosity-driven Exploration by Self-supervised Prediction
  33. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering
  34. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
  35. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION
  36. DeepVO Towards end to end visual odometry with deep RNN
  37. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition
  38. Deep Double Descent Where Bigger Models and More Data Hurt
  39. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
  40. Deep Learning for Extreme Multi-label Text Classification
  41. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
  42. Deep Residual Learning for Image Recognition
  43. Deep Residual Learning for Image Recognition Summary
  44. Deep Transfer Learning with Joint Adaptation Networks
  45. Dense Passage Retrieval for Open-Domain Question Answering
  46. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
  47. Describtion of Text Mining
  48. Do Deep Neural Networks Suffer from Crowding
  49. Do Vision Transformers See Like CNN
  50. Don't Just Blame Over-parametrization
  51. Don't Just Blame Over-parametrization Summary
  52. Dynamic Routing Between Capsules
  53. Dynamic Routing Between Capsules STAT946
  54. Dynamic Routing Between Capsulesl
  55. End-to-End Differentiable Adversarial Imitation Learning
  56. End to end Active Object Tracking via Reinforcement Learning
  57. Evaluating Machine Accuracy on ImageNet
  58. Extreme Multi-label Text Classification
  59. Fairness Without Demographics in Repeated Loss Minimization
  60. FeUdal Networks for Hierarchical Reinforcement Learning
  61. Fix your classifier: the marginal value of training the last weight layer
  62. From Variational to Deterministic Autoencoders
  63. Functional regularisation for continual learning with gaussian processes
  64. Generating Image Descriptions
  65. Going Deeper with Convolutions
  66. GradientLess Descent
  67. Gradient Episodic Memory for Continual Learning
  68. Graph Structure of Neural Networks
  69. Hash Embeddings for Efficient Word Representations
  70. Hierarchical Question-Image Co-Attention for Visual Question Answering
  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 to Navigate in Cities Without a Map
  83. Learning to Teach
  84. Loss Function Search for Face Recognition
  85. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION
  86. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
  87. MarrNet: 3D Shape Reconstruction via 2.5D Sketches
  88. Mask RCNN
  89. Memory-Based Parameter Adaptation
  90. Meta-Learning-For-Domain Generalization
  91. Meta-Learning For Domain Generalization
  92. ModelFramework.jpg
  93. Model Agnostic Learning of Semantic Features
  94. Multi-scale Dense Networks for Resource Efficient Image Classification
  95. Music Recommender System Based using CRNN
  96. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders
  97. Neural ODEs
  98. Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
  99. On The Convergence Of ADAM And Beyond
  100. One-Shot Imitation Learning
  101. One-Shot Object Detection with Co-Attention and Co-Excitation
  102. One pixel attack for fooling deep neural networks
  103. Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification
  104. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
  105. Pixels to Graphs by Associative Embedding
  106. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
  107. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
  108. Poison Frogs Neural Networks
  109. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval
  110. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval
  111. Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data
  112. Predicting Hurricane Trajectories Using a Recurrent Neural Network
  113. Reinforcement Learning of Theorem Proving
  114. Representations of Words and Phrases and their Compositionality
  115. Research Papers Classification System
  116. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree
  117. Roberta
  118. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
  119. Robust Imitation Learning from Noisy Demonstrations
  120. Robust Imitation of Diverse Behaviors
  121. Robust Probabilistic Modeling with Bayesian Data Reweighting
  122. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study
  123. STAT946F17/Decoding with Value Networks for Neural Machine Translation
  124. STAT946F17/ Automated Curriculum Learning for Neural Networks
  125. STAT946F17/ Coupled GAN
  126. STAT946F17/ Dance Dance Convolution
  127. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow
  128. STAT946F17/ Learning Important Features Through Propagating Activation Differences
  129. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN
  130. STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback
  131. Searching For Efficient Multi Scale Architectures For Dense Image Prediction
  132. Self-Supervised Learning of Pretext-Invariant Representations
  133. Semantic Relation Classification——via Convolution Neural Network
  134. ShakeDrop Regularization
  135. Speech2Face: Learning the Face Behind a Voice
  136. Spherical CNNs
  137. Streaming Bayesian Inference for Crowdsourced Classification
  138. Summary - A Neural Representation of Sketch Drawings
  139. Summary of A Probabilistic Approach to Neural Network Pruning
  140. SuperGLUE
  141. Superhuman AI for Multiplayer Poker
  142. Surround Vehicle Motion Prediction
  143. Synthesizing Programs for Images usingReinforced Adversarial Learning
  144. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS
  145. Task Understanding from Confushing Multitask Data
  146. Task Understanding from Confusing Multi-task Data
  147. The Curious Case of Degeneration
  148. The Detection of Black Ice Accidents Using CNNs
  149. This Looks Like That: Deep Learning for Interpretable Image Recognition
  150. Time-series Generative Adversarial Networks
  151. Towards Deep Learning Models Resistant to Adversarial Attacks
  152. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network
  153. Training And Inference with Integers in Deep Neural Networks
  154. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary
  155. Understanding Image Motion with Group Representations
  156. Universal Style Transfer via Feature Transforms
  157. Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
  158. Unsupervised Machine Translation Using Monolingual Corpora Only
  159. Unsupervised Neural Machine Translation
  160. Visual Reinforcement Learning with Imagined Goals
  161. Wasserstein Auto-Encoders
  162. Wasserstein Auto-encoders
  163. Wavelet Pooling CNN
  164. When Does Self-Supervision Improve Few-Shot Learning?
  165. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary
  166. Wide and Deep Learning for Recommender Systems
  167. Word translation without parallel data
  168. XGBoost
  169. XGBoost: A Scalable Tree Boosting System
  170. Zero-Shot Visual Imitation
  171. a fair comparison of graph neural networks for graph classification
  172. a neural representation of sketch drawings
  173. conditional neural process
  174. learn what not to learn
  175. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
  176. orthogonal gradient descent for continual learning
  177. policy optimization with demonstrations
  178. stat441F18/TCNLM
  179. stat441F18/YOLO
  180. stat441w18/A New Method of Region Embedding for Text Classification
  181. stat441w18/Convolutional Neural Networks for Sentence Classification
  182. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction
  183. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction
  184. stat441w18/e-gan
  185. stat441w18/mastering-chess-and-shogi-self-play
  186. stat441w18/summary 1
  187. stat841F18/
  188. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series
  189. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs
  190. stat946F18/differentiableplasticity
  191. stat946F20/GradientLess Descent
  192. stat946w18/
  193. stat946w18/AmbientGAN: Generative Models from Lossy Measurements
  194. stat946w18/Hierarchical Representations for Efficient Architecture Search
  195. stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT
  196. stat946w18/Implicit Causal Models for Genome-wide Association Studies
  197. stat946w18/MaskRNN: Instance Level Video Object Segmentation
  198. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
  199. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers
  200. stat946w18/Self Normalizing Neural Networks
  201. stat946w18/Spectral
  202. stat946w18/Spectral normalization for generative adversial network
  203. stat946w18/Synthetic and natural noise both break neural machine translation
  204. stat946w18/Tensorized LSTMs
  205. stat946w18/Towards Image Understanding From Deep Compression Without Decoding
  206. stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only
  207. stat946w18/Wavelet Pooling For Convolutional Neural Networks
  208. test
  209. time-series-using-GAN
  210. what game are we playing

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