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NLPNeurIPS 20172h ago๐ฅCODEGITHUB๐ค HF
Attention Is All You Need
SUMMARY Introduces the Transformer architecture using only self-attention, replacing RNNs and CNNs. Achieves SOTA on English-German and English-French translation with significantly less training time.
Computer VisionCVPR 20165h ago๐ฅCODEGITHUB
Deep Residual Learning for Image Recognition
SUMMARY Introduces skip connections enabling training of 152-layer networks. Wins ImageNet 2015 with 3.57% top-5 error, fundamentally changing deep network architecture design.
NLPNAACL 20196h ago๐ฅCODEGITHUB๐ค HF
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
SUMMARY Bidirectional pre-training via masked language modeling and next sentence prediction. Sets new SOTA on 11 NLP benchmarks, launching the pre-train/fine-tune paradigm.
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facebookresearch/segment-anything
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