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Showing below up to 50 results in range #21 to #70.
- Batch Normalization
- Batch Normalization Summary
- Bayesian Network as a Decision Tool for Predicting ALS Disease
- Being Bayesian about Categorical Probability
- Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates
- Bsodjahi
- CRITICAL ANALYSIS OF SELF-SUPERVISION
- CapsuleNets
- CatBoost: unbiased boosting with categorical features
- Co-Teaching
- Conditional Image Synthesis with Auxiliary Classifier GANs
- Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
- Convolutional Neural Networks for Sentence Classification
- Convolutional Sequence to Sequence Learning
- Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases
- Countering Adversarial Images Using Input Transformations
- Curiosity-driven Exploration by Self-supervised Prediction
- DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering
- DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS
- DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
- DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION
- DeepVO Towards end to end visual odometry with deep RNN
- Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition
- Deep Double Descent Where Bigger Models and More Data Hurt
- Deep Exploration via Bootstrapped DQN
- Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
- Deep Learning for Extreme Multi-label Text Classification
- Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
- Deep Residual Learning for Image Recognition
- Deep Residual Learning for Image Recognition Summary
- Deep Transfer Learning with Joint Adaptation Networks
- Dense Passage Retrieval for Open-Domain Question Answering
- Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
- Describtion of Text Mining
- Dialog-based Language Learning
- Do Deep Neural Networks Suffer from Crowding
- Do Vision Transformers See Like CNN
- Don't Just Blame Over-parametrization
- Don't Just Blame Over-parametrization Summary
- Dynamic Routing Between Capsules
- Dynamic Routing Between Capsules STAT946
- Dynamic Routing Between Capsulesl
- Efficient kNN Classification with Different Numbers of Nearest Neighbors
- End-to-End Differentiable Adversarial Imitation Learning
- End to end Active Object Tracking via Reinforcement Learning
- Evaluating Machine Accuracy on ImageNet
- Extreme Multi-label Text Classification
- F18-STAT841-Proposal
- F18-STAT946-Proposal
- F21-STAT 441/841 CM 763-Proposal