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- schedule946
- schedule of Project Presentations
- self-Taught Learning
- semi-supervised Learning with Deep Generative Models
- show, Attend and Tell: Neural Image Caption Generation with Visual Attention
- sign up for your presentation
- signupformStat341F11
- singular Value Decomposition(SVD)
- sparse PCA
- stat340s13
- stat341 / CM 361
- stat341f11
- stat441F18
- stat441F18/TCNLM
- stat441F18/YOLO
- stat441F21
- stat441w18
- stat441w18/A New Method of Region Embedding for Text Classification
- stat441w18/Convolutional Neural Networks for Sentence Classification
- stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction
- stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction
- stat441w18/e-gan
- stat441w18/mastering-chess-and-shogi-self-play
- stat441w18/summary 1
- stat841
- stat841F18/
- stat841f10
- stat841f11
- stat841f14
- stat940F21
- stat946-Fall 2010
- stat946F18
- stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series
- stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs
- stat946F18/differentiableplasticity
- stat946F20/GradientLess Descent
- stat946f10
- stat946f11
- stat946f11pool
- stat946f15
- stat946f15/Deep neural networks for acoustic modeling in speech recognition
- stat946f15/Sequence to sequence learning with neural networks
- stat946f17
- stat946s13
- stat946w18
- stat946w18/
- stat946w18/AmbientGAN: Generative Models from Lossy Measurements
- stat946w18/Hierarchical Representations for Efficient Architecture Search
- stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT
- stat946w18/Implicit Causal Models for Genome-wide Association Studies
- stat946w18/MaskRNN: Instance Level Video Object Segmentation
- stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
- stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers
- stat946w18/Self Normalizing Neural Networks
- stat946w18/Spectral
- stat946w18/Spectral normalization for generative adversial network
- stat946w18/Synthetic and natural noise both break neural machine translation
- stat946w18/Tensorized LSTMs
- stat946w18/Towards Image Understanding From Deep Compression Without Decoding
- stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only
- stat946w18/Wavelet Pooling For Convolutional Neural Networks
- statf09841Proposal
- statf09841Scribe
- statf10841Scribe
- strategies for Training Large Scale Neural Network Language Models
- summary
- supervised Dictionary Learning
- tRIAL for that odd behaviour
- techniques for Normal and Gamma Sampling
- test
- test1
- the Indian Buffet Process: An Introduction and Review
- the Manifold Tangent Classifier
- the Wake-Sleep Algorithm for Unsupervised Neural Networks
- the loss surfaces of multilayer networks (Choromanska et al.)
- time-series-using-GAN
- uncovering Shared Structures in Multiclass Classification
- very Deep Convoloutional Networks for Large-Scale Image Recognition
- video-Based Face Recognition Using Adaptive Hidden Markov Models
- video-based face recognition using Adaptive HMM
- visualizing Data using t-SNE
- visualizing Similarity Data with a Mixture of Maps
- what game are we playing
- wikicoursenote:Manual of Style
- wikicoursenote:cleanup