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Showing below up to 100 results in range #41 to #140.

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