MLRF Machine Learning Research Flashcards

Machine Learning Research Flashcards

Machine Learning Research Flashcards is a collection of flashcards associated with scientific research papers in the field of machine learning. The flashcards are best used with Anki, a spaced repetition system.

52 papers • 244 cards

3D Gaussian Splatting for Real-Time Radiance Field Rendering
5 cards
A Simple Framework for Contrastive Learning of Visual Representations
5 cards
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
2 cards
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
8 cards
Anchor Pruning for Object Detection
7 cards
Attention Is All You Need
10 cards
Auto-Encoding Variational Bayes
5 cards
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
2 cards
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
4 cards
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
3 cards
Deep Reinforcement Learning with Double Q-learning
1 cards
Denoising Diffusion Probabilistic Models
7 cards
DETR: End-to-End Object Detection with Transformers
7 cards
Distilling the Knowledge in a Neural Network
4 cards
DUSt3R: Geometric 3D Vision Made Easy
4 cards
Extracting and Composing Robust Features with Denoising Autoencoders
1 cards
FaceNet: A Unified Embedding for Face Recognition and Clustering
3 cards
Focal Loss for Dense Object Detection
6 cards
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
3 cards
High-Resolution Image Synthesis with Latent Diffusion Models
3 cards
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
6 cards
Learned Thresholds Token Merging and Pruning for Vision Transformers
7 cards
Learning Transferable Visual Models From Natural Language Supervision
2 cards
LoRA: Low-Rank Adaptation of Large Language Models
1 cards
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
8 cards
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
4 cards
Mixture-of-Experts with Expert Choice Routing
6 cards
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
6 cards
MobileNetV2: Inverted Residuals and Linear Bottlenecks
8 cards
Multi-Scale Context Aggregation by Dilated Convolutions
4 cards
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs
1 cards
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
8 cards
On Network Design Spaces for Visual Recognition
2 cards
Once-for-All: Train One Network and Specialize it for Efficient Deployment
10 cards
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
5 cards
PaLM-E: An Embodied Multimodal Language Model
10 cards
Playing Atari with Deep Reinforcement Learning
2 cards
Proximal Policy Optimization Algorithms
2 cards
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
3 cards
RT-1: Robotics Transformer for Real-World Control at Scale
8 cards
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
7 cards
Segment Anything
8 cards
Slimmable Neural Networks
3 cards
Squeeze-and-Excitation Networks
3 cards
SSD: Single Shot MultiBox Detector
8 cards
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
5 cards
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
3 cards
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
5 cards
Token Merging: Your ViT But Faster
4 cards
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
1 cards
Universally Slimmable Networks and Improved Training Techniques
3 cards
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
1 cards