几篇论文实现代码:
《Maximum Likelihood Training of Implicit Nonlinear Diffusion Model》(NeurIPS 2022) GitHub: github.com/byeonghu-na/INDM [fig1]
《Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds》(NeurIPS 2022) GitHub: github.com/Avalon-Benchmark/avalon
《Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures》(NeurIPS 2022) GitHub: github.com/luost26/diffab [fig9]
《Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems》(NeurIPS 2022) GitHub: github.com/yuangh-x/2022-NIPS-Tenrec
《CrossRE: A Cross-Domain Dataset for Relation Extraction》(EMNLP 2022) GitHub: github.com/mainlp/CrossRE
《Active Learning for Domain Adaptation: An Energy-based Approach》(AAAI 2022) GitHub: github.com/BIT-DA/EADA [fig10]
《Real-Time Neural Character Rendering with Pose-Guided Multiplane Images》(ECCV 2022) GitHub: github.com/ken-ouyang/PGMPI [fig2]
《PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting》(ECCV 2022) GitHub: github.com/naver/PoseGPT [fig7]
《Dual-Evidential Learning for Weakly-supervised Temporal Action Localization》(ECCV 2022) GitHub: github.com/MengyuanChen21/ECCV2022-DELU
《Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data》(ICCV 2021) GitHub: github.com/Abdullah-Abuolaim/recurrent-defocus-deblurring-synth-dual-pixel [fig6]
《TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second》(2022) GitHub: github.com/automl/TabPFN
《Gaussian-Bernoulli RBMs Without Tears》(2022) GitHub: github.com/DSL-Lab/GRBM
《Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans》(2022) GitHub: github.com/ekalinicheva/multi_layer_vegetation [fig3]
《MyStyle: A Personalized Generative Prior》(2022) GitHub: github.com/google/mystyle [fig5]
《T2A: Robust Text-to-Animation》(2022) GitHub: github.com/Moon0316/T2A
《Automated Extrinsic Calibration for 3D LiDARs with Range Offset Correction using an Arbitrary Planar Board》(2022) GitHub: github.com/JunhaAgu/AutoL2LCalib [fig4]
《Multi-scale Attention Network for Single Image Super-Resolution》(2022) GitHub: github.com/icandle/MAN [fig8]
《On Feature Learning in the Presence of Spurious Correlations》(2022) GitHub: github.com/izmailovpavel/spurious_feature_learning
《Maximum Likelihood Training of Implicit Nonlinear Diffusion Model》(NeurIPS 2022) GitHub: github.com/byeonghu-na/INDM [fig1]
《Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds》(NeurIPS 2022) GitHub: github.com/Avalon-Benchmark/avalon
《Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures》(NeurIPS 2022) GitHub: github.com/luost26/diffab [fig9]
《Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems》(NeurIPS 2022) GitHub: github.com/yuangh-x/2022-NIPS-Tenrec
《CrossRE: A Cross-Domain Dataset for Relation Extraction》(EMNLP 2022) GitHub: github.com/mainlp/CrossRE
《Active Learning for Domain Adaptation: An Energy-based Approach》(AAAI 2022) GitHub: github.com/BIT-DA/EADA [fig10]
《Real-Time Neural Character Rendering with Pose-Guided Multiplane Images》(ECCV 2022) GitHub: github.com/ken-ouyang/PGMPI [fig2]
《PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting》(ECCV 2022) GitHub: github.com/naver/PoseGPT [fig7]
《Dual-Evidential Learning for Weakly-supervised Temporal Action Localization》(ECCV 2022) GitHub: github.com/MengyuanChen21/ECCV2022-DELU
《Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data》(ICCV 2021) GitHub: github.com/Abdullah-Abuolaim/recurrent-defocus-deblurring-synth-dual-pixel [fig6]
《TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second》(2022) GitHub: github.com/automl/TabPFN
《Gaussian-Bernoulli RBMs Without Tears》(2022) GitHub: github.com/DSL-Lab/GRBM
《Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans》(2022) GitHub: github.com/ekalinicheva/multi_layer_vegetation [fig3]
《MyStyle: A Personalized Generative Prior》(2022) GitHub: github.com/google/mystyle [fig5]
《T2A: Robust Text-to-Animation》(2022) GitHub: github.com/Moon0316/T2A
《Automated Extrinsic Calibration for 3D LiDARs with Range Offset Correction using an Arbitrary Planar Board》(2022) GitHub: github.com/JunhaAgu/AutoL2LCalib [fig4]
《Multi-scale Attention Network for Single Image Super-Resolution》(2022) GitHub: github.com/icandle/MAN [fig8]
《On Feature Learning in the Presence of Spurious Correlations》(2022) GitHub: github.com/izmailovpavel/spurious_feature_learning
当地时间本周三, 8月17日晚20点( 北京时间8月18日凌晨2点) 里奥哈竞技二队在客场迎战上赛季联赛中曾两次击败我们的老对手奥托尔(CD Autol)。守门员黄三凯出战半场,零封对手。二队获得了大量得分机会, 可惜临门一脚未能把握住,对手依靠全场比赛唯一的一脚射正破门。
当地时间本周六8月20日下午19点(北京时间8月21日凌晨1点) 里奥哈竞技二队将会在洛格罗尼奥迎来本赛季的第四场热身赛, 对手是西丙的科米利亚斯(Commillas CF)。在21/22 赛季,二队曾经被对手三杀,让我们期待小伙子们新赛季的表现。
当地时间本周六8月20日下午19点(北京时间8月21日凌晨1点) 里奥哈竞技二队将会在洛格罗尼奥迎来本赛季的第四场热身赛, 对手是西丙的科米利亚斯(Commillas CF)。在21/22 赛季,二队曾经被对手三杀,让我们期待小伙子们新赛季的表现。
【西班牙拉里奥哈优选联赛(6) A组第21轮】2月19日,里奥哈竞技B队主场迎战Autol,门将郑图罗(99),锋线杨天硕(02)继续首发,来自延边的小将金永浩(03)也首次获得首发机会。第44分钟,上轮上演梅开二度的杨天硕再次打破场上僵局,为球队取得领先。最后阶段,替补登场的中国台湾球员袁永诚(02)进球将比分锁定为3比0。
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