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Maxim Bonnaerens

Maxim Bonnaerens

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Gaussian Splatting DUSt3R Mip-NeRF 360 Mip-NeRF Token Merging: Your ViT But Faster Anchor Pruning for Object Detection Accurate, Large Minibatch SGD Attention Is All You Need Barlow Twins Batch Normalization Deep Reinforcement Learning DETR Dice Loss Diffusion Models Dilated Convolutions Distilling the Knowledge in a Neural Network Instant-NGP Latent Diffusion Models Learned Thresholds Token Merging and Pruning for Vision Transformers LoRA Mixture-of-Experts with Expert Choice Routing MobileNetV1 MobileNetV2 NeRF Once-for-All Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Proximal Policy Optimization Algorithms RetinaNet Segment Anything SETR SimCLR Squeeze-and-Excitation Networks SSD: Single Shot MultiBox Detector Stable Diffusion Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity The Lottery Ticket Hypothesis Variational Auto-Encoder Vision Transformers

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MLRF

Last updated on Apr 3, 2024

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Maxim Bonnaerens

Machine Learning Engineer with focus on Computer Vision

© 2024 Maxim Bonnaerens.

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