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Showing below up to 50 results in range #101 to #150.

101. Learning to Teach
102. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
103. Loss Function Search for Face Recognition
104. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION
105. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
106. MarrNet: 3D Shape Reconstruction via 2.5D Sketches
107. Mask RCNN
108. Memory-Based Parameter Adaptation
109. Meta-Learning-For-Domain Generalization
110. Meta-Learning For Domain Generalization
111. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
112. ModelFramework.jpg
113. Model Agnostic Learning of Semantic Features
114. Modular Multitask Reinforcement Learning with Policy Sketches
115. Multi-scale Dense Networks for Resource Efficient Image Classification
116. Music Recommender System Based using CRNN
117. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders
118. Neural ODEs
119. Neural Speed Reading via Skim-RNN
120. Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
121. On The Convergence Of ADAM And Beyond
122. One-Shot Imitation Learning
123. One-Shot Object Detection with Co-Attention and Co-Excitation
124. One pixel attack for fooling deep neural networks
125. Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification
126. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
127. Pixels to Graphs by Associative Embedding
128. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
129. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
130. Poison Frogs Neural Networks
131. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval
132. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval
133. Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data
134. Predicting Hurricane Trajectories Using a Recurrent Neural Network
135. Proposal for STAT946 (Deep Learning) final projects Fall 2017
136. Reinforcement Learning of Theorem Proving
137. Representations of Words and Phrases and their Compositionality
138. Research Papers Classification System
139. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree
140. Roberta
141. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
142. Robust Imitation Learning from Noisy Demonstrations
143. Robust Imitation of Diverse Behaviors
144. Robust Probabilistic Modeling with Bayesian Data Reweighting
145. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study
146. STAT946F17/Conditional Image Generation with PixelCNN Decoders
147. STAT946F17/Decoding with Value Networks for Neural Machine Translation
148. STAT946F17/ Automated Curriculum Learning for Neural Networks
149. STAT946F17/ Coupled GAN
150. STAT946F17/ Dance Dance Convolution