Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Presenters:
Feras Chikh Oughali,
Michael Fuller
Emerging Properties in Self-Supervised Vision Transformers (aka. DINO)
Presenters: Vinay Kumar
Algorithms for Causal Reasoning in Probability Trees
Presenters: Jennifer Mulroy, Roland Villafuerte
A TRANSFORMER-BASED FRAMEWORK FOR MULTIVARIATE TIME SERIES REPRESENTATION LEARNING
Presenters: Matt Kerrigan, Matteo Pilotto
DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis
Presenters: Himanshu Dutta
SCAN: Learning to Classify Images without Labels
Presenters: Bob Bell, Oladayo Ogunnoiki
Learning Transferable Visual Models From Natural Language Supervision
Presenters: Pankaj Sahai, Manav Gakhar
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations
Presenters: Suhas Satish & Jenny Shih
DROCC: Deep Robust One-Class Classification
Presenters: Hasan Ali
Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Generative Models
Presenters: Zekiye Eser
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
Presenters: Aishwarya
Presenters: Imran Kocabiyik
Retrieval Augmented Generation for Knowledge Intensive NLP Tasks
Presenters: Ao Shuang
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
Presenters: Amit Borundiya
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance
Presenters: Shivani Nagpal
Big Self-Supervised Models are Strong Semi-Supervised Learners
Presenters: Henry Garcia
Fast Online Object Tracking and Segmentation: A Unifying Approach
Presenters: Mayssam Naji
Abdul Hamid
RandAugment Practical automated data augmentation with a reduced search space
Presenters: Kush Tekriwal
Neural Random Forest Imitation
Presenters: Alex Ikerd
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
