Uncategorized pages

Showing below up to 100 results in range #71 to #170.

71. F21-STAT 940-Proposal
72. Fairness Without Demographics in Repeated Loss Minimization
73. FeUdal Networks for Hierarchical Reinforcement Learning
74. Fix your classifier: the marginal value of training the last weight layer
75. From Variational to Deterministic Autoencoders
76. Functional regularisation for continual learning with gaussian processes
77. Generating Image Descriptions
78. Going Deeper with Convolutions
79. GradientLess Descent
80. Gradient Episodic Memory for Continual Learning
81. Graph Structure of Neural Networks
82. Hash Embeddings for Efficient Word Representations
83. Hierarchical Question-Image Co-Attention for Visual Question Answering
84. Hierarchical Representations for Efficient Architecture Search
85. IPBoost
86. Imagination-Augmented Agents for Deep Reinforcement Learning
87. Imagination Augmented Agents for Deep Reinforcement Learning
88. Improving neural networks by preventing co-adaption of feature detectors
89. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall
90. Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
91. Influenza Forecasting Framework based on Gaussian Processes
92. Influenza Forecasting Framework based on Gaussian processes Summary
93. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
94. Learning Combinatorial Optimzation
95. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data
96. Learning What and Where to Draw
97. Learning the Number of Neurons in Deep Networks
98. Learning to Navigate in Cities Without a Map
99. Learning to Teach
100. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
101. Loss Function Search for Face Recognition
102. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION
103. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
104. MarrNet: 3D Shape Reconstruction via 2.5D Sketches
105. Mask RCNN
106. Memory-Based Parameter Adaptation
107. Meta-Learning-For-Domain Generalization
108. Meta-Learning For Domain Generalization
109. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
110. ModelFramework.jpg
111. Model Agnostic Learning of Semantic Features
112. Modular Multitask Reinforcement Learning with Policy Sketches
113. Multi-scale Dense Networks for Resource Efficient Image Classification
114. Music Recommender System Based using CRNN
115. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders
116. Neural ODEs
117. Neural Speed Reading via Skim-RNN
118. Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
119. On The Convergence Of ADAM And Beyond
120. One-Shot Imitation Learning
121. One-Shot Object Detection with Co-Attention and Co-Excitation
122. One pixel attack for fooling deep neural networks
123. Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification
124. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
125. Pixels to Graphs by Associative Embedding
126. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
127. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
128. Poison Frogs Neural Networks
129. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval
130. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval
131. Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data
132. Predicting Hurricane Trajectories Using a Recurrent Neural Network
133. Proposal for STAT946 (Deep Learning) final projects Fall 2017
134. Reinforcement Learning of Theorem Proving
135. Representations of Words and Phrases and their Compositionality
136. Research Papers Classification System
137. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree
138. Roberta
139. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
140. Robust Imitation Learning from Noisy Demonstrations
141. Robust Imitation of Diverse Behaviors
142. Robust Probabilistic Modeling with Bayesian Data Reweighting
143. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study
144. STAT946F17/Conditional Image Generation with PixelCNN Decoders
145. STAT946F17/Decoding with Value Networks for Neural Machine Translation
146. STAT946F17/ Automated Curriculum Learning for Neural Networks
147. STAT946F17/ Coupled GAN
148. STAT946F17/ Dance Dance Convolution
149. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow
150. STAT946F17/ Learning Important Features Through Propagating Activation Differences
151. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN
152. STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback
153. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
154. Searching For Efficient Multi Scale Architectures For Dense Image Prediction
155. Self-Supervised Learning of Pretext-Invariant Representations
156. Semantic Relation Classification——via Convolution Neural Network
157. ShakeDrop Regularization
158. Speech2Face: Learning the Face Behind a Voice
159. Spherical CNNs
160. Streaming Bayesian Inference for Crowdsourced Classification
161. Summary - A Neural Representation of Sketch Drawings
162. Summary for survey of neural networked-based cancer prediction models from microarray data
163. Summary of A Probabilistic Approach to Neural Network Pruning
164. SuperGLUE
165. Superhuman AI for Multiplayer Poker
166. Surround Vehicle Motion Prediction
167. Synthesizing Programs for Images usingReinforced Adversarial Learning
168. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS
169. Task Understanding from Confushing Multitask Data
170. Task Understanding from Confusing Multi-task Data