https://github.com/xiuyu0000/new_papers_codes/tree/main/t5
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Papers with Code 아카이브
Diversity
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Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xmu-xiaoma666/External-Attention-pytorch
https://github.com/xqnwang/fuma
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
https://github.com/xqx12/daily-info
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions
https://github.com/xuetianci/pacit
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/xwshen51/AGE
PacGAN: The power of two samples in generative adversarial networks
https://github.com/xwshen51/AGES
PacGAN: The power of two samples in generative adversarial networks
https://github.com/yakhyo/gaze-estimation
L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments
https://github.com/yangyucheng000/Colorization-
https://github.com/yangyucheng000/ICT
High-Fidelity Pluralistic Image Completion with Transformers
https://github.com/yangyucheng000/University/tree/main/model-1/pix2struct
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
https://github.com/yaof20/real
Flaming-hot Initiation with Regular Execution Sampling for Large Language Models
https://github.com/yaselley/ssl_layerwise_deepfake
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection
https://github.com/yaushian/Unparalleled-Text-Summarization-using-GAN
https://github.com/yaya-yns/tart
Pretraining a Neural Network before Knowing Its Architecture
https://github.com/yeliudev/catnet
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
https://github.com/yijunmaverick/im2pencil
Im2Pencil: Controllable Pencil Illustration from Photographs
https://github.com/yikun2019/PENCIL
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
https://github.com/yining043/TSP-improve
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
https://github.com/yiwuzhong/sub-gc
Comprehensive Image Captioning via Scene Graph Decomposition
https://github.com/yizhongw/tk-instruct
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/yli-z/ml4h_are_clinical_t5_models_better_for_clinical_text
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/ymlwww/rlproject
https://github.com/yqx7150/JGM
Wavelet Transform-assisted Adaptive Generative Modeling for Colorization
https://github.com/yqx7150/gmsd
Generative Modeling in Structural-Hankel Domain for Color Image Inpainting
https://github.com/yqx7150/osdm
Generative Modeling in Structural-Hankel Domain for Color Image Inpainting
https://github.com/yqx7150/ugm-pi
Wavelet Transform-assisted Adaptive Generative Modeling for Colorization
https://github.com/yuanzhi-zhu/prolific_dreamer2d
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
https://github.com/yubangji123/Interpret_FR
https://github.com/yuchuang1205/rrl-net
https://github.com/yuchuantian/dijiang
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
https://github.com/yuchuantian/u-dit
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models
https://github.com/yuhangchen0/fedheal
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
https://github.com/yuliang-liu/monkey
https://github.com/yunhaoli1995/MAMD-TOD
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
https://github.com/yuval-alaluf/hyperstyle
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.