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Showing below up to 100 results in range #21 to #120.
- mark your contribution here (2 revisions)
- copyofstat341 (2 revisions)
- stat946f15/Deep neural networks for acoustic modeling in speech recognition (2 revisions)
- proof of Lemma 1 (2 revisions)
- link to my paper (2 revisions)
- proof (2 revisions)
- video-Based Face Recognition Using Adaptive Hidden Markov Models (2 revisions)
- 13Stat946papers (2 revisions)
- maximum Variance Unfolding (June 2 2009) (2 revisions)
- monte Carlo methods (2 revisions)
- infoboxtest (2 revisions)
- Imagination Augmented Agents for Deep Reinforcement Learning (2 revisions)
- wikicoursenote:cleanup (3 revisions)
- mark Your Contribution here (3 revisions)
- binomial Probability Monte Carlo Sampling June 2 2009 (3 revisions)
- generating Random Numbers (3 revisions)
- Do Vision Transformers See Like CNN (3 revisions)
- stat946f17 (3 revisions)
- acceptance-Rejection Sampling (3 revisions)
- techniques for Normal and Gamma Sampling (3 revisions)
- Proposal for STAT946 (Deep Learning) final projects Fall 2017 (3 revisions)
- sandbox to test w2l (3 revisions)
- deepGenerativeModels (3 revisions)
- quantifying cancer progression with conjunctive Bayesian networks (3 revisions)
- wikicoursenote:Manual of Style (4 revisions)
- learning2reasoning (4 revisions)
- importance Sampling June 2 2009 (4 revisions)
- is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction (4 revisions)
- stat946f11pool (4 revisions)
- Another look at distance-weighted discrimination (4 revisions)
- test1 (4 revisions)
- tRIAL for that odd behaviour (5 revisions)
- stat946-Fall 2010 (5 revisions)
- singular Value Decomposition(SVD) (5 revisions)
- proof of Theorem 1 (5 revisions)
- again on Markov Chain (5 revisions)
- Hash Embeddings for Efficient Word Representations (5 revisions)
- Batch Normalization Summary (6 revisions)
- the Manifold Tangent Classifier (6 revisions)
- importance Sampling and Markov Chain Monte Carlo (MCMC) (7 revisions)
- on the Number of Linear Regions of Deep Neural Networks (7 revisions)
- stat946f15 (7 revisions)
- bayesian and Frequentist Schools of Thought (7 revisions)
- Batch Normalization (7 revisions)
- importance Sampling and Monte Carlo Simulation (7 revisions)
- quantifying cancer progression with conjunctive Bayesian networks. (8 revisions)
- measuring and testing dependence by correlation of distances (8 revisions)
- markov Chain Definitions (9 revisions)
- monte Carlo Integration (10 revisions)
- Deep Residual Learning for Image Recognition Summary (11 revisions)
- deep Neural Nets as a Method for Quantitative Structure–Activity Relationships (12 revisions)
- the loss surfaces of multilayer networks (Choromanska et al.) (12 revisions)
- on using very large target vocabulary for neural machine translation (13 revisions)
- a Dynamic Bayesian Network Click Model for web search ranking (13 revisions)
- Convolutional Neural Networks for Sentence Classification (14 revisions)
- mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION (15 revisions)
- stat441F18/YOLO (16 revisions)
- A Game Theoretic Approach to Class-wise Selective Rationalization (17 revisions)
- Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network (17 revisions)
- Robust Probabilistic Modeling with Bayesian Data Reweighting (18 revisions)
- f11Stat946papers (18 revisions)
- kernel Spectral Clustering for Community Detection in Complex Networks (20 revisions)
- incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary) (20 revisions)
- generating text with recurrent neural networks (21 revisions)
- stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction (21 revisions)
- rOBPCA: A New Approach to Robust Principal Component Analysis (21 revisions)
- Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases (21 revisions)
- Summary of A Probabilistic Approach to Neural Network Pruning (21 revisions)
- learning Convolutional Feature Hierarchies for Visual Recognition (21 revisions)
- cardinality Restricted Boltzmann Machines (22 revisions)
- stat946w18/Towards Image Understanding From Deep Compression Without Decoding (22 revisions)
- deep Learning of the tissue-regulated splicing code (22 revisions)
- a fast learning algorithm for deep belief nets (22 revisions)
- decentralised Data Fusion: A Graphical Model Approach (Summary) (22 revisions)
- s13Stat946proposal (22 revisions)
- measuring statistical dependence with Hilbert-Schmidt norms (23 revisions)
- extracting and Composing Robust Features with Denoising Autoencoders (23 revisions)
- Wide and Deep Learning for Recommender Systems (23 revisions)
- context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis (24 revisions)
- Unsupervised Machine Translation Using Monolingual Corpora Only (24 revisions)
- contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models (24 revisions)
- very Deep Convoloutional Networks for Large-Scale Image Recognition (24 revisions)
- Learning The Difference That Makes A Difference With Counterfactually-Augmented Data (25 revisions)
- paper Summaries (25 revisions)
- dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces (25 revisions)
- imageNet Classification with Deep Convolutional Neural Networks (25 revisions)
- The Detection of Black Ice Accidents Using CNNs (26 revisions)
- Dynamic Routing Between Capsulesl (26 revisions)
- proposal for STAT946 (Deep Learning) final projects Fall 2015 (26 revisions)
- learning Long-Range Vision for Autonomous Off-Road Driving (27 revisions)
- neural Machine Translation: Jointly Learning to Align and Translate (27 revisions)
- A Knowledge-Grounded Neural Conversation Model (28 revisions)
- Depthwise Convolution Is All You Need for Learning Multiple Visual Domains (28 revisions)
- genetics (29 revisions)
- deep Convolutional Neural Networks For LVCSR (29 revisions)
- deep Generative Stochastic Networks Trainable by Backprop (30 revisions)
- DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering (30 revisions)
- metric and Kernel Learning Using a Linear Transformation (30 revisions)
- Going Deeper with Convolutions (30 revisions)
- Deep Double Descent Where Bigger Models and More Data Hurt (31 revisions)