碟报☉ Back 2 Black 入胶是期！
Music On Vinyl & At The Movies 复刻彩胶
West Side Story 2xLP
The Original Sound Track Recording
Ⓐ Artist: Leonard Bernstein
Ⓛ Label: At The Movies
Ⓝ Cat. No.: MOVATM001
Ⓕ Format / Versions:
☉ 180g | 33⅓rpm
☉ Gold Vinyl /1k copies
Ⓓ Release Date: Nov 25, 2022
West Side Story 2xLP
Original Broadway Cast =Recording=
Ⓐ Artist: Leonard Bernstein
Ⓛ Label: At The Movies
Ⓝ Cat. No.: MOVATM301
Ⓕ Format / Versions:
☉ 180g | 33⅓rpm
☉ Translucent Red Vinyl /1k copies
65th Anniversary Edition
Ⓓ Release Date: Nov 25, 2022
Little Women 2xLP
Original Motion Picture Soundtrack
Ⓐ Artist: Alexandre Desplat
Ⓛ Label: At The Movies
Ⓝ Cat. No.: MOVATM270
Ⓕ Format / Versions:
☉ 180g | 33⅓rpm
☉ Black & White Marbled Vinyl /1.5k copies
☉ At The Movies Shop exclusive
Translucent Pink Vinyl /300 copies
Ⓓ Release Date: Nov 25, 2022
___________
Music On Vinyl & At The Movies 复刻彩胶
West Side Story 2xLP
The Original Sound Track Recording
Ⓐ Artist: Leonard Bernstein
Ⓛ Label: At The Movies
Ⓝ Cat. No.: MOVATM001
Ⓕ Format / Versions:
☉ 180g | 33⅓rpm
☉ Gold Vinyl /1k copies
Ⓓ Release Date: Nov 25, 2022
West Side Story 2xLP
Original Broadway Cast =Recording=
Ⓐ Artist: Leonard Bernstein
Ⓛ Label: At The Movies
Ⓝ Cat. No.: MOVATM301
Ⓕ Format / Versions:
☉ 180g | 33⅓rpm
☉ Translucent Red Vinyl /1k copies
65th Anniversary Edition
Ⓓ Release Date: Nov 25, 2022
Little Women 2xLP
Original Motion Picture Soundtrack
Ⓐ Artist: Alexandre Desplat
Ⓛ Label: At The Movies
Ⓝ Cat. No.: MOVATM270
Ⓕ Format / Versions:
☉ 180g | 33⅓rpm
☉ Black & White Marbled Vinyl /1.5k copies
☉ At The Movies Shop exclusive
Translucent Pink Vinyl /300 copies
Ⓓ Release Date: Nov 25, 2022
___________
几篇论文实现代码：
《A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models》(NeurIPS 2022) GitHub: github.com/llyx97/sparse-and-robust-PLM [fig3]
《Efficient One Pass Self-distillation with Zipf's Label Smoothing》(ECCV 2022) GitHub: github.com/megvii-research/zipfls [fig4]
《In-Hand Object Rotation via Rapid Motor Adaptation》(CoRL 2022) GitHub: github.com/HaozhiQi/hora
《How to Train Vision Transformer on Small-scale Datasets?》(BMVC 2022) GitHub: github.com/hananshafi/vits-for-small-scale-datasets
《Continuous Augmented Positional Embeddings》(NeurIPS 2021) GitHub: github.com/gcambara/cape
《CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory》(2022) GitHub: github.com/notmahi/clip-fields [fig1]
《A Kernel-Based View of Language Model Fine-Tuning》(2022) GitHub: github.com/princeton-nlp/LM-Kernel-FT
《Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners》(2022) GitHub: github.com/seonghyeonye/Flipped-Learning
《Continuous Remeshing For Inverse Rendering》(2022) GitHub: github.com/Profactor/continuous-remeshing
《Equivariant 3D-conditional Diffusion Model for Molecular Linker Design》(ICLR 2022) GitHub: github.com/igashov/DiffLinker [fig5]
《MapAI: Precision in Building Segmentation》(2022) GitHub: github.com/Sjyhne/MapAI-Competition
《Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions》(2022) GitHub: github.com/anndvision/overcast
《A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models》(NeurIPS 2022) GitHub: github.com/llyx97/sparse-and-robust-PLM [fig3]
《Efficient One Pass Self-distillation with Zipf's Label Smoothing》(ECCV 2022) GitHub: github.com/megvii-research/zipfls [fig4]
《In-Hand Object Rotation via Rapid Motor Adaptation》(CoRL 2022) GitHub: github.com/HaozhiQi/hora
《How to Train Vision Transformer on Small-scale Datasets?》(BMVC 2022) GitHub: github.com/hananshafi/vits-for-small-scale-datasets
《Continuous Augmented Positional Embeddings》(NeurIPS 2021) GitHub: github.com/gcambara/cape
《CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory》(2022) GitHub: github.com/notmahi/clip-fields [fig1]
《A Kernel-Based View of Language Model Fine-Tuning》(2022) GitHub: github.com/princeton-nlp/LM-Kernel-FT
《Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners》(2022) GitHub: github.com/seonghyeonye/Flipped-Learning
《Continuous Remeshing For Inverse Rendering》(2022) GitHub: github.com/Profactor/continuous-remeshing
《Equivariant 3D-conditional Diffusion Model for Molecular Linker Design》(ICLR 2022) GitHub: github.com/igashov/DiffLinker [fig5]
《MapAI: Precision in Building Segmentation》(2022) GitHub: github.com/Sjyhne/MapAI-Competition
《Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions》(2022) GitHub: github.com/anndvision/overcast
PMG癸卯兔年生肖标签 红色剪纸设计感十足
Paper Money Guaranty（PMG）为癸卯兔年创作了一款全新的认证标签。PMG兔年标签是PMG生肖系列特殊标签中的新成员，该系列标签以中国传统文化中的十二生肖为主题，深受藏家青睐。
此款PMG特殊标签上印有一只红色的剪纸兔，其适用于所有主题为“兔”或年份为2023年的纸币。蒙古国已经发行了一套兔年纪念钞，其它许多国家也正在筹备发行其本国的兔年纸币。
PMG兔年标签适用于所有主题为“兔”或年份为2023年的纸币。每张纸币仅需额外支付人民币15元即可获得，所有提交者皆可申请。客户如需兔年标签，请在提交表中以粗体注明：“Year of the Rabbit Label #0249”（兔年标签#0249）。
更多可查看：https://t.cn/A6oVy5BK
Paper Money Guaranty（PMG）为癸卯兔年创作了一款全新的认证标签。PMG兔年标签是PMG生肖系列特殊标签中的新成员，该系列标签以中国传统文化中的十二生肖为主题，深受藏家青睐。
此款PMG特殊标签上印有一只红色的剪纸兔，其适用于所有主题为“兔”或年份为2023年的纸币。蒙古国已经发行了一套兔年纪念钞，其它许多国家也正在筹备发行其本国的兔年纸币。
PMG兔年标签适用于所有主题为“兔”或年份为2023年的纸币。每张纸币仅需额外支付人民币15元即可获得，所有提交者皆可申请。客户如需兔年标签，请在提交表中以粗体注明：“Year of the Rabbit Label #0249”（兔年标签#0249）。
更多可查看：https://t.cn/A6oVy5BK
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