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01_Research Papers
Folder: 01_Research-Papers
20 items under this folder.
Jan 21, 2026
Domino - Discovering Systematic Errors with Cross-Modal Embeddings
Jan 21, 2026
A Comparative Survey of Deep Active Learning
Jan 21, 2026
Active Learning for Deep Object Detection via Probabilistic Modeling
Jan 21, 2026
Back to the Basics - Revisiting Out-of-Distribution Detection Baselines
knowledge
Jan 21, 2026
DiSparse - Disentangled Sparsification for Multitask Model Compression
Jan 21, 2026
Distinctive Image Captioning via CLIP Guided Group Optimization
knowledge
Jan 21, 2026
Entropy-Based Active Learning for Object Detection With Progressive Diversity Constraint
Jan 21, 2026
Generalized Out-of-Distribution Detection - A Survey
knowledge
Jan 21, 2026
MOOD - Multi-level Out-of-distribution Detection
Jan 21, 2026
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection
Jan 21, 2026
Not All Labels Are Equal - Rationalizing The Labeling Costs for Training Object Detection
Jan 21, 2026
On Calibration of Modern Neural Networks
Jan 21, 2026
On-Device Training Under 256KB Memory
knowledge
Jan 21, 2026
Pruning Filters for Efficient ConvNets
Jan 21, 2026
Rachit Singh - Deep learning model compression
Jan 21, 2026
Sparsity in Deep Learning - Pruning and Growth for Efficient Inference and Training in Neural Networks
Jan 21, 2026
The lottery ticket hypothesis - Finding sparse, trainable neural networks
Jan 21, 2026
TinyML for Concept Drift
Jan 21, 2026
TinyOL - TinyML with Online-Learning on Microcontrollers
Jan 21, 2026
TinyTL - Reduce Activations, Not Trainable Parameters for Efficient On-Device Learning
knowledge