Meta Learning with Differentiable Convex Optimization
Presenters: Ahmad Abboud
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition
Presenters: Charlene and Prerna
BABO Background Activation Black Out
Presenters: Tugba Sensoy
Reinforced active learning for image segmentation
Presenters: Mehdi Sadeqi
CNN EXPLAINER: Learning Convolutional Neural Networks withInteractive Visualization
Presenters: Dia Abujaber, Monik Bansal
Self-training with Noisy Student improves ImageNet classification
Presenters: Harmanjeet Kaur, Soufiane Fadel
Towards Deep Learning Models Resistant to Adversarial Attacks
Presenters: Amar Srinivas, Jamie Sampson
PointRend: Image Segmentation as Rendering
Presenters: Jamipe Sampson, Mandy He
Learning the Depths of Moving People by Watching Frozen People
Presenters: Kukesh, Venkatesh
Local Aggregation for Unsupervised Learning of Visual Embeddings
Presenters: Aleksei Mikhalev, Hossein Honarvar
End-to-End Object Detection with Transformers
Presenters: Yurii Halychanskyi, Marko Mandic
Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Over-sampling
Presenters: Aashish Ghosh
YOLOv4: Optimal Speed and Accuracy of Object Detection
Presenters: Shiva, Gokulan
MixMatch: A Holistic Approach to Semi-Supervised Learning
Presenters: Ragini Kihlman, Sapna Sharma
Deep Learning for Symbolic Mathematics
Presenters: Guillaume Lampel, Francois Charton
Self-Supervised Learning of Pretext-Invariant Representations
Presenters: Divyam
MAST: A Memory-Augmented Self-supervised Tracker
Presenters: Soufia Naseri, Randy Harnarinesingh
Deep Ensembles: A Loss Landscape Perspective
Presenters: Rick
MMDetection: Open MMLab Detection Toolbox and Benchmark
Presenters: Radek, Samta
A Simple Framework for Contrastive Learning of Visual Representations
Presenters: Phan Anh Vu
What Does BERT Look At? An Analysis of BERT's Attention
Presenters: Bismay, Bharat
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Presenters: Akash, Alex
