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Showing below up to 190 results in range #21 to #210.

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