➡️ Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics
Github: https://github.com/vita-group/tegnas
Paper: https://arxiv.org/abs/2108.11939v1
@ArtificialIntelligencedl
Github: https://github.com/vita-group/tegnas
Paper: https://arxiv.org/abs/2108.11939v1
@ArtificialIntelligencedl
11 Best Data Science Education Platforms
https://www.kdnuggets.com/2021/08/11-best-data-science-education-platforms.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2021/08/11-best-data-science-education-platforms.html
@ArtificialIntelligencedl
KDnuggets
11 Best Data Science Education Platforms
We cover 11 best Data Science Education platforms for 11 different use cases, ranging from specific languages to hands-on learners, to the best free option.
Forwarded from Machinelearning
💬 Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Github: https://github.com/ofirpress/attention_with_linear_biases
Paper: https://ofir.io/train_short_test_long.pdf
Fairseq: https://github.com/pytorch/fairseq
@ai_machinelearning_big_data
Github: https://github.com/ofirpress/attention_with_linear_biases
Paper: https://ofir.io/train_short_test_long.pdf
Fairseq: https://github.com/pytorch/fairseq
@ai_machinelearning_big_data
🌐 A Partition Filter Network for Joint Entity and Relation Extraction
Github: https://github.com/Coopercoppers/PFN
Paper: https://arxiv.org/abs/2108.12202v2
@ArtificialIntelligencedl
Github: https://github.com/Coopercoppers/PFN
Paper: https://arxiv.org/abs/2108.12202v2
@ArtificialIntelligencedl
Iterative Filter Adaptive Network for Single Image Defocus Deblurring
Github: https://github.com/codeslake/IFAN
Paper: https://arxiv.org/abs/2108.13610v1
@ArtificialIntelligencedl
Github: https://github.com/codeslake/IFAN
Paper: https://arxiv.org/abs/2108.13610v1
@ArtificialIntelligencedl
🔎 Efficient Person Search: An Anchor-Free Approach.
Github: https://github.com/daodaofr/AlignPS
Paper: https://arxiv.org/abs/2109.00211v1
Dataset: https://paperswithcode.com/dataset/cuhk-sysu
@ArtificialIntelligencedl
Github: https://github.com/daodaofr/AlignPS
Paper: https://arxiv.org/abs/2109.00211v1
Dataset: https://paperswithcode.com/dataset/cuhk-sysu
@ArtificialIntelligencedl
🌝🌚 PyGCL: Graph Contrastive Learning for PyTorch
Github: https://github.com/GraphCL/PyGCL
Paper: https://arxiv.org/abs/2109.01116v1
@ArtificialIntelligencedl
Github: https://github.com/GraphCL/PyGCL
Paper: https://arxiv.org/abs/2109.01116v1
@ArtificialIntelligencedl
👁 NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
Github: https://github.com/weiyithu/nerfingmvs
Paper: https://arxiv.org/abs/2109.01129v1
Project: https://weiyithu.github.io/NerfingMVS
@ArtificialIntelligencedl
Github: https://github.com/weiyithu/nerfingmvs
Paper: https://arxiv.org/abs/2109.01129v1
Project: https://weiyithu.github.io/NerfingMVS
@ArtificialIntelligencedl
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation
Github: https://github.com/lhryang/crl_egpg
Paper: https://arxiv.org/abs/2109.01484v1
@ArtificialIntelligencedl
Github: https://github.com/lhryang/crl_egpg
Paper: https://arxiv.org/abs/2109.01484v1
@ArtificialIntelligencedl
Learning Neural Causal Models with Active Interventions
Github: https://github.com/nke001/causal_learning_unknown_interventions
Paper: https://arxiv.org/abs/2109.02429v1
@ArtificialIntelligencedl
Github: https://github.com/nke001/causal_learning_unknown_interventions
Paper: https://arxiv.org/abs/2109.02429v1
@ArtificialIntelligencedl
📹 CTRL-C: Camera calibration TRansformer with Line-Classification
Github: https://github.com/jwlee-vcl/ctrl-c
Paper: https://arxiv.org/abs/2109.02259v1
Dataset: https://drive.google.com/file/d/1opDR_j-9y4TY82ZscBb-xYAoMkTocAOp/view
@ArtificialIntelligencedl
Github: https://github.com/jwlee-vcl/ctrl-c
Paper: https://arxiv.org/abs/2109.02259v1
Dataset: https://drive.google.com/file/d/1opDR_j-9y4TY82ZscBb-xYAoMkTocAOp/view
@ArtificialIntelligencedl
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🚗 NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Github: https://github.com/autonomousvision/neat
Paper: https://arxiv.org/abs/2109.04456v1
Dataset: https://paperswithcode.com/dataset/carla
@ArtificialIntelligencedl
Github: https://github.com/autonomousvision/neat
Paper: https://arxiv.org/abs/2109.04456v1
Dataset: https://paperswithcode.com/dataset/carla
@ArtificialIntelligencedl
Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
Github: https://github.com/aliannejadi/ClariQ
Paper: https://arxiv.org/abs/2109.05794v1
Dataset: https://paperswithcode.com/dataset/qulac
@ArtificialIntelligencedl
Github: https://github.com/aliannejadi/ClariQ
Paper: https://arxiv.org/abs/2109.05794v1
Dataset: https://paperswithcode.com/dataset/qulac
@ArtificialIntelligencedl
✅ AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
Github: https://github.com/alibaba/AliceMind
Paper: https://arxiv.org/abs/2109.05687v1
Dataset: https://paperswithcode.com/dataset/glue
@ArtificialIntelligencedl
Github: https://github.com/alibaba/AliceMind
Paper: https://arxiv.org/abs/2109.05687v1
Dataset: https://paperswithcode.com/dataset/glue
@ArtificialIntelligencedl
DensePhrases is an extractive phrase search tool based on your natural language inputs
Github: https://github.com/princeton-nlp/DensePhrases
Paper: https://arxiv.org/abs/2109.08133v1
Dataset: https://paperswithcode.com/dataset/squad
@ArtificialIntelligencedl
Github: https://github.com/princeton-nlp/DensePhrases
Paper: https://arxiv.org/abs/2109.08133v1
Dataset: https://paperswithcode.com/dataset/squad
@ArtificialIntelligencedl
🌳 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