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Showing below up to 50 results in range #81 to #130.
- (hist) Summary for survey of neural networked-based cancer prediction models from microarray data [25,813 bytes]
- (hist) human-level control through deep reinforcement learning [25,775 bytes]
- (hist) Summary - A Neural Representation of Sketch Drawings [25,539 bytes]
- (hist) Universal Style Transfer via Feature Transforms [25,427 bytes]
- (hist) graves et al., Speech recognition with deep recurrent neural networks [25,222 bytes]
- (hist) stat946w18/Tensorized LSTMs [25,187 bytes]
- (hist) Learning the Number of Neurons in Deep Networks [25,059 bytes]
- (hist) consistency of Trace Norm Minimization [24,984 bytes]
- (hist) MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION [24,968 bytes]
- (hist) Neural ODEs [24,911 bytes]
- (hist) Graph Structure of Neural Networks [24,857 bytes]
- (hist) End-to-End Differentiable Adversarial Imitation Learning [24,839 bytes]
- (hist) DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering [24,627 bytes]
- (hist) uncovering Shared Structures in Multiclass Classification [24,508 bytes]
- (hist) a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization [24,469 bytes]
- (hist) Word translation without parallel data [24,363 bytes]
- (hist) deep neural networks for acoustic modeling in speech recognition [24,099 bytes]
- (hist) Spherical CNNs [23,995 bytes]
- (hist) Efficient kNN Classification with Different Numbers of Nearest Neighbors [23,936 bytes]
- (hist) memory Networks [23,850 bytes]
- (hist) STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback [23,815 bytes]
- (hist) When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary [23,758 bytes]
- (hist) Breaking the Softmax Bottleneck: A High-Rank RNN Language Model [23,722 bytes]
- (hist) stat946w18/Spectral [23,722 bytes]
- (hist) stat946f15/Sequence to sequence learning with neural networks [23,722 bytes]
- (hist) Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations [23,595 bytes]
- (hist) compressed Sensing Reconstruction via Belief Propagation [23,435 bytes]
- (hist) Adversarial Attacks on Copyright Detection Systems [23,347 bytes]
- (hist) convex and Semi Nonnegative Matrix Factorization [23,247 bytes]
- (hist) STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study [22,797 bytes]
- (hist) STAT946F17/Decoding with Value Networks for Neural Machine Translation [22,662 bytes]
- (hist) A Neural Representation of Sketch Drawings [22,571 bytes]
- (hist) optimal Solutions forSparse Principal Component Analysis [22,557 bytes]
- (hist) One-Shot Object Detection with Co-Attention and Co-Excitation [22,512 bytes]
- (hist) the Manifold Tangent Classifier [22,426 bytes]
- (hist) Adversarial Fisher Vectors for Unsupervised Representation Learning [22,378 bytes]
- (hist) Pre-Training Tasks For Embedding-Based Large-Scale Retrieval [22,307 bytes]
- (hist) learning Fast Approximations of Sparse Coding [22,149 bytes]
- (hist) Dynamic Routing Between Capsules STAT946 [22,076 bytes]
- (hist) stat441w18/Convolutional Neural Networks for Sentence Classification [21,916 bytes]
- (hist) from Machine Learning to Machine Reasoning [21,916 bytes]
- (hist) supervised Dictionary Learning [21,847 bytes]
- (hist) MarrNet: 3D Shape Reconstruction via 2.5D Sketches [21,822 bytes]
- (hist) relevant Component Analysis [21,795 bytes]
- (hist) A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques [21,774 bytes]
- (hist) Generating Image Descriptions [21,640 bytes]
- (hist) Label-Free Supervision of Neural Networks with Physics and Domain Knowledge [21,530 bytes]
- (hist) Learning to Teach [21,503 bytes]
- (hist) DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS [21,484 bytes]
- (hist) ShakeDrop Regularization [21,454 bytes]