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Showing below up to 100 results in range #51 to #150.
- (hist) Unsupervised Neural Machine Translation [28,860 bytes]
- (hist) Learning to Navigate in Cities Without a Map [28,789 bytes]
- (hist) LightRNN: Memory and Computation-Efficient Recurrent Neural Networks [28,750 bytes]
- (hist) Summary of A Probabilistic Approach to Neural Network Pruning [28,196 bytes]
- (hist) proposal Fall 2010 [28,170 bytes]
- (hist) Hierarchical Question-Image Co-Attention for Visual Question Answering [28,143 bytes]
- (hist) Task Understanding from Confusing Multi-task Data [27,980 bytes]
- (hist) Research Papers Classification System [27,978 bytes]
- (hist) stat946F18/differentiableplasticity [27,749 bytes]
- (hist) DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE [27,357 bytes]
- (hist) Neural Speed Reading via Skim-RNN [27,299 bytes]
- (hist) measuring Statistical Dependence with Hilbert-Schmidt Norm [27,247 bytes]
- (hist) Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples [27,233 bytes]
- (hist) Adacompress: Adaptive compression for online computer vision services [27,197 bytes]
- (hist) Convolutional Sequence to Sequence Learning [27,188 bytes]
- (hist) Understanding the Effective Receptive Field in Deep Convolutional Neural Networks [27,163 bytes]
- (hist) STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN [27,054 bytes]
- (hist) Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks [26,931 bytes]
- (hist) f11Stat841proposal [26,834 bytes]
- (hist) Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias [26,820 bytes]
- (hist) Functional regularisation for continual learning with gaussian processes [26,792 bytes]
- (hist) Loss Function Search for Face Recognition [26,747 bytes]
- (hist) regression on Manifold using Kernel Dimension Reduction [26,560 bytes]
- (hist) f10 Stat841 digest [26,540 bytes]
- (hist) Superhuman AI for Multiplayer Poker [26,382 bytes]
- (hist) Music Recommender System Based using CRNN [26,359 bytes]
- (hist) Visual Reinforcement Learning with Imagined Goals [26,330 bytes]
- (hist) stat946w18/Wavelet Pooling For Convolutional Neural Networks [26,185 bytes]
- (hist) Dialog-based Language Learning [26,148 bytes]
- (hist) what game are we playing [25,901 bytes]
- (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]
- (hist) Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms [21,399 bytes]
- (hist) Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition [21,366 bytes]
- (hist) Searching For Efficient Multi Scale Architectures For Dense Image Prediction [21,363 bytes]
- (hist) stat946w18/MaskRNN: Instance Level Video Object Segmentation [21,296 bytes]
- (hist) XGBoost [21,275 bytes]
- (hist) probabilistic PCA with GPLVM [21,275 bytes]
- (hist) Annotating Object Instances with a Polygon RNN [21,235 bytes]
- (hist) Wasserstein Auto-Encoders [21,197 bytes]
- (hist) Time-series Generative Adversarial Networks [21,169 bytes]
- (hist) FeUdal Networks for Hierarchical Reinforcement Learning [20,969 bytes]
- (hist) meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting [20,964 bytes]
- (hist) One-Shot Imitation Learning [20,785 bytes]
- (hist) Training And Inference with Integers in Deep Neural Networks [20,739 bytes]
- (hist) learning a Nonlinear Embedding by Preserving Class Neighborhood Structure [20,705 bytes]
- (hist) Fairness Without Demographics in Repeated Loss Minimization [20,361 bytes]
- (hist) F18-STAT841-Proposal [20,352 bytes]
- (hist) Self-Supervised Learning of Pretext-Invariant Representations [20,351 bytes]
- (hist) Reinforcement Learning of Theorem Proving [20,271 bytes]
- (hist) a Direct Formulation For Sparse PCA Using Semidefinite Programming [20,257 bytes]
- (hist) deflation Methods for Sparse PCA [20,218 bytes]