Mfuatano na modeli zalishi
103 mbinu katika familia hii.
Zilizoangaziwa
Attention MechanismThe attention mechanism, introduced by Bahdanau, Cho and Bengio in 2015 and refined by Luong, Pham and Manning the same year, lets a sequence decoder dynamically learn which of theAutoencoderAn autoencoder is an encoder-decoder neural network, popularised by Hinton and Salakhutdinov in 2006, that compresses data into a low-dimensional latent code and then reconstructs RNN ya pande mbiliA Bidirectional RNN, introduced by Schuster and Paliwal in 1997, processes a sequence in both forward and backward directions so that every position has access to its full surroundCrossformerCrossformer is a Transformer-based architecture for multivariate time series forecasting, introduced by Yunhao Zhang and Junchi Yan at ICLR 2023. Unlike earlier Transformer variantCycleGAN: Tafsiri ya Picha-kwa-Picha isiyo na Jozi yenye Utaratibu wa MzungukoCycleGAN, introduced by Zhu et al. at ICCV 2017, learns to translate images between two visual domains without requiring paired training examples. It trains two generators and two DeepARDeepAR is Amazon's industrial forecasting model, introduced by Salinas, Flunkert and Gasthaus (2017; published 2020), that uses an autoregressive recurrent neural network to estima
Njia ya usomaji
Mbinu za msingi zinazorejelewa zaidi za mada hii, kwa mpangilio zilivyobuniwa — mahali pa kuanzia ikiwa wewe ni mgeni hapa.
Mbinu zote 103
Attention MechanismAutoencoderRNN ya pande mbiliCrossformerCycleGAN: Tafsiri ya Picha-kwa-Picha isiyo na Jozi yenye Utaratibu wa MzungukoDeepARMfumo wa UenezajiModeli ya uenezaji inayojumuisha kikoa (Domain-Adaptive Diffusion Model)GAN Inayobadilika na KikoaGRU inayobadilika na NyanjaMrejesho wa akili bandia wa akili bandia unaobadilika na kikoaDomain-adaptive sentence embeddingsTransformer zinazobadilika na dhima (Domain-Adaptive Transformer - DAT)Variational Autoencoder wa Adaptivaji wa Kanda (DA-VAE)Transformer wa Maono unaobadilika na KikoaMuundo wa Uenezaji unaoelewekaGAN ZinazoelekaGRU inayoelewekaLSTM InayoelezekaMtandao wa Akili Bandia unaorudia unaoelewekaTransformer ZinazoelekaExplainable Variational AutoencoderFEDformer: Transformer Iliyoimarishwa kwa Masafa na UozoMfumo Ulioboreshwa wa KueneaFine-Tuned Generative Adversarial NetworkGRU IliyoboreshwaLSTM IliyorekebishwaMtandao wa Sifa za Kurudiana Ulioboreshwa (Fine-Tuned Recurrent Neural Network)Muhtasari wa Maandishi UlioboreshwaTransformer IliyoboreshwaFine-Tuned Variational AutoencoderVision Transformer IliyobadilishwaGated Recurrent Unit (GRU)Mtandao wa Kushawishi unaozalisha (Generative Adversarial Network - GAN)Mtandao wa Makini wa GrafuKitengo cha Kurudiana kilicho na Lango (GRU)Mtoa habariiTransformer: Transformer Iliyoingizwa kwa Utabiri wa Milipuko Mingi ya WakatiMifumo ya Uenezaji IliyofichwaLong Short-Term Memory (LSTM)Longformer / BigBirdLSTMAutoenkoda ZilizofunikwaMoirai: Kituo cha Utabiri wa Wakati-Mfululizo wa UlimwenguMuundo wa Kuenea kwa Lugha NyingiGANi Lugha NyingiGRU ya Lugha NyingiLSTM nyingi lughaMtandao wa Nyuro wa Kujirudia wa Lugha NyingiMuhtasari wa Maandishi ya Lugha NyingiKigezo cha Kujifunza Kiotomatiki cha Tofauti cha Lugha NyingiMultilingual vision transformerMchoro wa Usambazaji wa Njia NyingiMultimodal GANGRU ya Njia Nyingi (Multimodal GRU)Multimodal LSTMMtandao wa Kurudiwa wa Njia Nyingi (Multimodal Recurrent Neural Network)Transformeri wa MultimodalMwanamfumo wa Kigeugeu wa Njia NyingiTransformer wa Maono wa MultimodalNon-stationary TransformerPatchTSTPyraformerMtandao wa Nyuro UnaojirudiaReformer: Transformer yenye ufanisi kwa Milisho MirefuMuundo wa Uzalishaji unaotegemea AlamaSegRNNUzingatio-mkuu wa nafsi (Multi-Head Self-Attention)Muundo wa Uenezaji wa KujifundishaGAN Inayojisimamia Kwenye Usimamizi (Self-supervised GAN)GRU InayojisimamiaTransformer Inayojisimamia KujifunzaVariational Autoencoder ya Kujisimamia YenyeweTransformer wa Maono unaojifundishaAina ya uenezaji inayosaidiwa kwa nusu (Semi-supervised diffusion model)Semi-supervised GANGRU yenye usimamizi-nusuLSTM nusu-simamiziTransformer yenye usimamizi-nusuSemi-supervised Variational AutoencoderMabadilishaji ya Macho Yaliyosaidiwa kwa NusuMuundo wa Mfuatano-hadi-MfuatanoSwin TransformerT5 (Text-to-Text Transfer Transformer)Temporal Fusion TransformerTime-MoETiRex: Utabiri wa Milipuko ya Wakati wa Muda sifuri na xLSTMGAN ya Kujifunza kwa KuhamishaTransfer learning variational autoencoderKujifunza kwa Kuhamisha kwa Kutumia Modeli za UenezajiKujifunza kwa Kuhamisha kwa kutumia LSTMKujifunza kwa Kuhamisha kwa Mtandao wa Seli za Nervi ZinazojirudiaVariational AutoencoderTransformer wa MaonoWasserstein GAN (WGAN)Aina ya Uenezi wa Usimamizi dhaifuGANi yenye usimamizi dhaifuGRU Inayofunzwa kwa UdhaifuLSTM iliyo na Usimamizi dhaifuRNNi iliyofunzwa kwa udhaifuTransformer ya Usimamizi dhaifuVariational Autoencoder yenye Usimamizi dhaifuKigeuzi cha Taswira Kinachosimamiwa Kidogo