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Showing below up to 100 results in range #21 to #120.
- 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
- F21-STAT 940-Proposal
- Fairness Without Demographics in Repeated Loss Minimization
- FeUdal Networks for Hierarchical Reinforcement Learning
- Fix your classifier: the marginal value of training the last weight layer
- From Variational to Deterministic Autoencoders
- Functional regularisation for continual learning with gaussian processes
- Generating Image Descriptions
- Going Deeper with Convolutions
- GradientLess Descent
- Gradient Episodic Memory for Continual Learning
- Graph Structure of Neural Networks
- Hash Embeddings for Efficient Word Representations
- Hierarchical Question-Image Co-Attention for Visual Question Answering
- Hierarchical Representations for Efficient Architecture Search
- IPBoost
- Imagination-Augmented Agents for Deep Reinforcement Learning
- Imagination Augmented Agents for Deep Reinforcement Learning
- Improving neural networks by preventing co-adaption of feature detectors
- Improving neural networks by preventing co-adaption of feature detectors 2020 Fall
- Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
- Influenza Forecasting Framework based on Gaussian Processes
- Influenza Forecasting Framework based on Gaussian processes Summary
- Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
- Learning Combinatorial Optimzation
- Learning The Difference That Makes A Difference With Counterfactually-Augmented Data
- Learning What and Where to Draw
- Learning the Number of Neurons in Deep Networks
- Learning to Navigate in Cities Without a Map
- Learning to Teach
- LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
- Loss Function Search for Face Recognition
- MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION
- Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
- MarrNet: 3D Shape Reconstruction via 2.5D Sketches
- Mask RCNN
- Memory-Based Parameter Adaptation
- Meta-Learning-For-Domain Generalization
- Meta-Learning For Domain Generalization
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
- ModelFramework.jpg
- Model Agnostic Learning of Semantic Features
- Modular Multitask Reinforcement Learning with Policy Sketches
- Multi-scale Dense Networks for Resource Efficient Image Classification
- Music Recommender System Based using CRNN
- Neural Audio Synthesis of Musical Notes with WaveNet autoencoders
- Neural ODEs
- Neural Speed Reading via Skim-RNN
- Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
- On The Convergence Of ADAM And Beyond
- One-Shot Imitation Learning