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Showing below up to 50 results in range #151 to #200.
- from Machine Learning to Machine Reasoning (09:46, 30 August 2017)
- question Answering with Subgraph Embeddings (09:46, 30 August 2017)
- genetics (09:46, 30 August 2017)
- memory Networks (09:46, 30 August 2017)
- joint training of a convolutional network and a graphical model for human pose estimation (09:46, 30 August 2017)
- deep Learning of the tissue-regulated splicing code (09:46, 30 August 2017)
- deep Convolutional Neural Networks For LVCSR (09:46, 30 August 2017)
- learning Phrase Representations (09:46, 30 August 2017)
- scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines (09:46, 30 August 2017)
- the Wake-Sleep Algorithm for Unsupervised Neural Networks (09:46, 30 August 2017)
- very Deep Convoloutional Networks for Large-Scale Image Recognition (09:46, 30 August 2017)
- extracting and Composing Robust Features with Denoising Autoencoders (09:46, 30 August 2017)
- deep Generative Stochastic Networks Trainable by Backprop (09:46, 30 August 2017)
- learning Long-Range Vision for Autonomous Off-Road Driving (09:46, 30 August 2017)
- continuous space language models (09:46, 30 August 2017)
- generating text with recurrent neural networks (09:46, 30 August 2017)
- the Manifold Tangent Classifier (09:46, 30 August 2017)
- learning Convolutional Feature Hierarchies for Visual Recognition (09:46, 30 August 2017)
- distributed Representations of Words and Phrases and their Compositionality (09:46, 30 August 2017)
- on the Number of Linear Regions of Deep Neural Networks (09:46, 30 August 2017)
- the loss surfaces of multilayer networks (Choromanska et al.) (09:46, 30 August 2017)
- a fast learning algorithm for deep belief nets (09:46, 30 August 2017)
- on using very large target vocabulary for neural machine translation (09:46, 30 August 2017)
- strategies for Training Large Scale Neural Network Language Models (09:46, 30 August 2017)
- learning Fast Approximations of Sparse Coding (09:46, 30 August 2017)
- deep Neural Nets as a Method for Quantitative Structure–Activity Relationships (09:46, 30 August 2017)
- mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION (09:46, 30 August 2017)
- semi-supervised Learning with Deep Generative Models (09:46, 30 August 2017)
- on the difficulty of training recurrent neural networks (09:46, 30 August 2017)
- stat946f17 (23:10, 25 September 2017)
- Deep Transfer Learning with Joint Adaptation Networks (15:32, 2 October 2017)
- Proposal for STAT946 (Deep Learning) final projects Fall 2017 (12:54, 3 October 2017)
- Curiosity-driven Exploration by Self-supervised Prediction (12:07, 26 October 2017)
- Hash Embeddings for Efficient Word Representations (19:44, 26 October 2017)
- STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN (10:58, 28 October 2017)
- STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow (03:56, 29 October 2017)
- Understanding the Effective Receptive Field in Deep Convolutional Neural Networks (15:12, 7 November 2017)
- STAT946F17/ Dance Dance Convolution (14:50, 24 November 2017)
- Hierarchical Question-Image Co-Attention for Visual Question Answering (19:50, 28 November 2017)
- Universal Style Transfer via Feature Transforms (20:10, 28 November 2017)
- LightRNN: Memory and Computation-Efficient Recurrent Neural Networks (20:18, 28 November 2017)
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier (20:21, 28 November 2017)
- Imagination-Augmented Agents for Deep Reinforcement Learning (20:24, 28 November 2017)
- STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study (20:30, 28 November 2017)
- Convolutional Sequence to Sequence Learning (20:37, 28 November 2017)
- meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting (20:40, 28 November 2017)
- When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary (20:45, 28 November 2017)
- Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition (13:19, 30 November 2017)
- STAT946F17/ Automated Curriculum Learning for Neural Networks (14:37, 30 November 2017)
- STAT946F17/Decoding with Value Networks for Neural Machine Translation (00:09, 3 December 2017)