🌳 WildWood: a new Random Forest algorithm
Github: https://github.com/pyensemble/wildwood
Paper: https://arxiv.org/abs/2109.08010v1
Documentation: https://wildwood.readthedocs.io/
@ArtificialIntelligencedl
Github: https://github.com/pyensemble/wildwood
Paper: https://arxiv.org/abs/2109.08010v1
Documentation: https://wildwood.readthedocs.io/
@ArtificialIntelligencedl
👍1
❓ Simple Entity-Centric Questions Challenge Dense Retrievers
Github: https://github.com/princeton-nlp/entityquestions
Paper: https://arxiv.org/abs/2109.08535v1
Dataset: https://paperswithcode.com/dataset/natural-questions
@ArtificialIntelligencedl
Github: https://github.com/princeton-nlp/entityquestions
Paper: https://arxiv.org/abs/2109.08535v1
Dataset: https://paperswithcode.com/dataset/natural-questions
@ArtificialIntelligencedl
GitHub
GitHub - princeton-nlp/EntityQuestions: EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.o…
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535 - princeton-nlp/EntityQuestions
💡 Asymmetric 3D Context Fusion for Universal Lesion Detection
Github: https://github.com/M3DV/AlignShift
Paper: https://arxiv.org/pdf/2109.08684v1.pdf
@ArtificialIntelligencedl
Github: https://github.com/M3DV/AlignShift
Paper: https://arxiv.org/pdf/2109.08684v1.pdf
@ArtificialIntelligencedl
Dynamic Slimmable Network (DS-Net)
Github: https://github.com/M3DV/AlignShift
Paper: https://arxiv.org/abs/2109.10060v1
@ArtificialIntelligencedl
Github: https://github.com/M3DV/AlignShift
Paper: https://arxiv.org/abs/2109.10060v1
@ArtificialIntelligencedl
✅ Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing
Github: https://github.com/microsoft/ContextualSP
Paper: https://arxiv.org/abs/2109.10540v1
@ArtificialIntelligencedl
Github: https://github.com/microsoft/ContextualSP
Paper: https://arxiv.org/abs/2109.10540v1
@ArtificialIntelligencedl
Hierarchical Memory Matching Network for Video Object Segmentation
Github: https://github.com/hongje/hmmn
Paper: https://arxiv.org/abs/2109.11404v1
Dataset: https://paperswithcode.com/dataset/davis-2016
@ArtificialIntelligencedl
Github: https://github.com/hongje/hmmn
Paper: https://arxiv.org/abs/2109.11404v1
Dataset: https://paperswithcode.com/dataset/davis-2016
@ArtificialIntelligencedl
Deep Social Force
Github: https://github.com/svenkreiss/socialforce
Paper: https://arxiv.org/abs/2109.12081v1
@ArtificialIntelligencedl
Github: https://github.com/svenkreiss/socialforce
Paper: https://arxiv.org/abs/2109.12081v1
@ArtificialIntelligencedl
TSM: Temporal Shift Module for Efficient Video Understanding
Github: https://github.com/MIT-HAN-LAB/temporal-shift-module
Paper: https://arxiv.org/abs/1811.08383
Demo: https://www.youtube.com/watch?v=0T6u7S_gq-4
@ArtificialIntelligencedl
Github: https://github.com/MIT-HAN-LAB/temporal-shift-module
Paper: https://arxiv.org/abs/1811.08383
Demo: https://www.youtube.com/watch?v=0T6u7S_gq-4
@ArtificialIntelligencedl
TSM: Temporal Shift Module for Efficient Video Understanding
Github: https://github.com/nikitakit/self-attentive-parser
Paper: https://arxiv.org/abs/2109.12814v1
Dataset: https://paperswithcode.com/dataset/penn-treebank
@ArtificialIntelligencedl
Github: https://github.com/nikitakit/self-attentive-parser
Paper: https://arxiv.org/abs/2109.12814v1
Dataset: https://paperswithcode.com/dataset/penn-treebank
@ArtificialIntelligencedl
Towards Flexible Blind JPEG Artifacts Removal
Github: https://github.com/jiaxi-jiang/fbcnn
Paper: https://arxiv.org/abs/2109.14573v1
@ArtificialIntelligencedl
Github: https://github.com/jiaxi-jiang/fbcnn
Paper: https://arxiv.org/abs/2109.14573v1
@ArtificialIntelligencedl
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition
Github: https://github.com/agrija9/deep-unsupervised-domain-adaptation
Paper: https://arxiv.org/abs/2109.13420v1
Dataset: https://paperswithcode.com/dataset/office-31
@ArtificialIntelligencedl
Github: https://github.com/agrija9/deep-unsupervised-domain-adaptation
Paper: https://arxiv.org/abs/2109.13420v1
Dataset: https://paperswithcode.com/dataset/office-31
@ArtificialIntelligencedl
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Github: https://github.com/ethz-asl/Learn-to-Calibrate
Paper: https://arxiv.org/abs/2109.14974v1
@ArtificialIntelligencedl
Github: https://github.com/ethz-asl/Learn-to-Calibrate
Paper: https://arxiv.org/abs/2109.14974v1
@ArtificialIntelligencedl
Localizing Objects with Self-Supervised Transformers and no Labels
Github: https://github.com/valeoai/LOST
Paper: https://arxiv.org/abs/2109.14279v1
Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
Github: https://github.com/valeoai/LOST
Paper: https://arxiv.org/abs/2109.14279v1
Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
PyTorch Image Models
Github: https://github.com/rwightman/pytorch-image-models
Paper: https://arxiv.org/abs/2110.00476v1
Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
Github: https://github.com/rwightman/pytorch-image-models
Paper: https://arxiv.org/abs/2110.00476v1
Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
GitHub
GitHub - huggingface/pytorch-image-models: The largest collection of PyTorch image encoders / backbones. Including train, eval…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export noscripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V...
PyTorch Image Models
Github: https://github.com/zhigroup/pytorch_ehr
Paper: https://arxiv.org/abs/2110.00998v1
@ArtificialIntelligencedl
Github: https://github.com/zhigroup/pytorch_ehr
Paper: https://arxiv.org/abs/2110.00998v1
@ArtificialIntelligencedl
FilterAugment: An Acoustic Environmental Data Augmentation Method
Github: https://github.com/frednam93/FilterAugSED
Paper: https://arxiv.org/abs/2110.03282v1
Dataset: https://paperswithcode.com/dataset/voxceleb1
@ArtificialIntelligencedl
Github: https://github.com/frednam93/FilterAugSED
Paper: https://arxiv.org/abs/2110.03282v1
Dataset: https://paperswithcode.com/dataset/voxceleb1
@ArtificialIntelligencedl
Gradient Step Denoiser for convergent Plug-and-Play
Github: https://github.com/samuro95/gspnp
Paper: https://arxiv.org/pdf/2110.03220.pdf
Dataset: https://paperswithcode.com/dataset/cbsd68
@ArtificialIntelligencedl
Github: https://github.com/samuro95/gspnp
Paper: https://arxiv.org/pdf/2110.03220.pdf
Dataset: https://paperswithcode.com/dataset/cbsd68
@ArtificialIntelligencedl
NVIDIA Deep Learning Examples for Tensor Cores
Github: https://github.com/NVIDIA/DeepLearningExamples
Paper: https://arxiv.org/abs/2110.03352v1
Tasks: https://paperswithcode.com/task/brain-tumor-segmentation
@ArtificialIntelligencedl
Github: https://github.com/NVIDIA/DeepLearningExamples
Paper: https://arxiv.org/abs/2110.03352v1
Tasks: https://paperswithcode.com/task/brain-tumor-segmentation
@ArtificialIntelligencedl
RGB-stacking 🛑🟩🔷 for robotic manipulation
Github: https://github.com/deepmind/rgb_stacking
Paper: https://arxiv.org/abs/2110.06192v1
Blog: https://deepmind.com/blog/article/stacking-our-way-to-more-general-robots
@ArtificialIntelligencedl
Github: https://github.com/deepmind/rgb_stacking
Paper: https://arxiv.org/abs/2110.06192v1
Blog: https://deepmind.com/blog/article/stacking-our-way-to-more-general-robots
@ArtificialIntelligencedl
Building Multimodal Models: Using the widedeep Pytorch package
https://www.kdnuggets.com/2021/10/building-multimodal-models-widedeep-pytorch-package.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2021/10/building-multimodal-models-widedeep-pytorch-package.html
@ArtificialIntelligencedl
Graph Condensation for Graph Neural Networks
Github: https://github.com/cambridgeltl/composable-sft
Paper: https://arxiv.org/abs/2110.07560v1
Dataset: https://paperswithcode.com/dataset/glue
@ArtificialIntelligencedl
Github: https://github.com/cambridgeltl/composable-sft
Paper: https://arxiv.org/abs/2110.07560v1
Dataset: https://paperswithcode.com/dataset/glue
@ArtificialIntelligencedl