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Showing below up to 50 results in range #301 to #350.
- stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series (10:13, 14 December 2018)
- F18-STAT946-Proposal (15:50, 14 December 2018)
- DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering (17:49, 14 December 2018)
- Searching For Efficient Multi Scale Architectures For Dense Image Prediction (18:12, 14 December 2018)
- Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias (18:21, 14 December 2018)
- stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs (18:21, 16 December 2018)
- Pixels to Graphs by Associative Embedding (18:26, 16 December 2018)
- End to end Active Object Tracking via Reinforcement Learning (18:27, 16 December 2018)
- stat946F18/differentiableplasticity (18:28, 16 December 2018)
- DeepVO Towards end to end visual odometry with deep RNN (18:30, 16 December 2018)
- Synthesizing Programs for Images usingReinforced Adversarial Learning (18:31, 16 December 2018)
- Learning to Teach (18:40, 16 December 2018)
- Annotating Object Instances with a Polygon RNN (18:41, 16 December 2018)
- Zero-Shot Visual Imitation (18:42, 16 December 2018)
- Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data (18:43, 16 December 2018)
- Countering Adversarial Images Using Input Transformations (18:45, 16 December 2018)
- Learning to Navigate in Cities Without a Map (00:24, 17 December 2018)
- conditional neural process (00:26, 17 December 2018)
- Unsupervised Neural Machine Translation (00:28, 17 December 2018)
- policy optimization with demonstrations (00:32, 17 December 2018)
- ShakeDrop Regularization (00:34, 17 December 2018)
- CapsuleNets (00:36, 17 December 2018)
- Fix your classifier: the marginal value of training the last weight layer (00:39, 17 December 2018)
- a neural representation of sketch drawings (00:40, 17 December 2018)
- Fairness Without Demographics in Repeated Loss Minimization (00:42, 17 December 2018)
- DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE (13:28, 17 December 2018)
- learn what not to learn (13:38, 17 December 2018)
- stat441F18 (11:33, 5 September 2020)
- f11Stat841presentation (12:49, 6 October 2020)
- f11Stat841proposal (14:56, 11 October 2020)
- stat946F20/GradientLess Descent (16:17, 31 October 2020)
- ALBERT (11:44, 2 November 2020)
- Meta-Learning-For-Domain Generalization (15:47, 9 November 2020)
- Task Understanding from Confushing Multitask Data (19:25, 15 November 2020)
- Influenza Forecasting Framework based on Gaussian processes Summary (00:02, 16 November 2020)
- Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval (19:52, 17 November 2020)
- stat841f11 (12:30, 18 November 2020)
- f17Stat946PaperSignUp (19:28, 19 November 2020)
- ModelFramework.jpg (13:14, 24 November 2020)
- Improving neural networks by preventing co-adaption of feature detectors 2020 Fall (22:41, 26 November 2020)
- time-series-using-GAN (21:02, 1 December 2020)
- From Variational to Deterministic Autoencoders (19:11, 2 December 2020)
- Streaming Bayesian Inference for Crowdsourced Classification (23:20, 4 December 2020)
- IPBoost (00:18, 5 December 2020)
- Semantic Relation Classification——via Convolution Neural Network (21:25, 5 December 2020)
- Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates (06:58, 6 December 2020)
- Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (15:51, 6 December 2020)
- SuperGLUE (16:58, 6 December 2020)
- THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS (17:02, 6 December 2020)
- Adversarial Fisher Vectors for Unsupervised Representation Learning (17:50, 6 December 2020)
