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/s-nlp/russe_detox_2022
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/safakkbilici/Academic-Paper-Title-Recommendation
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/safreita1/malnet-image
https://github.com/sahilg06/BicycleGAN
https://github.com/samiwilf/dlrm_from_shz0116
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems
https://github.com/sanaAyrml/GenerativeSSL_Submission
Can Generative Models Improve Self-Supervised Representation Learning?
https://github.com/sander102907/autoencoder_program_synthesis
https://github.com/sangyun884/fast-ode
https://github.com/sanjaythakur/Uncertainty-aware-Imitation-Learning-on-Multiple-Tasks-using-Bayesian-Neural-Networks
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
https://github.com/sarapapi/fbk-fairseq
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
https://github.com/sato9hara/LassoHull
https://github.com/sattree/gpr_pub
Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
https://github.com/schrum2/PyribsForGameGAN
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space
https://github.com/seloufian/Faster-Style-Transfer
https://github.com/seohongpark/lsd
https://github.com/servicenow/beyond-trivial-explanations
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
https://github.com/seungguini/multiref_eval
Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References
https://github.com/seungho-snu/fxsr
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
https://github.com/seymayucer/VAEs
https://github.com/seyonechithrananda/selfies-mirror
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
https://github.com/sezinata/MANE
https://github.com/shaform/scratchgan-prep
https://github.com/shagunseth/latent_3d_points
Learning Representations and Generative Models for 3D Point Clouds
https://github.com/shallwe999/TransNetV2-SBD-Visualize
TransNet V2: An effective deep network architecture for fast shot transition detection
https://github.com/shenweichen/deepmatch
https://github.com/shihux/supervised_uq
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
https://github.com/shivamraval98/multitask-t5_ae
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/shizuo-kaji/PretrainCNNwithNoData
Cats or CAT scans: transfer learning from natural or medical image source datasets?
https://github.com/shoaibahmed/metadata_archaeology
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
https://github.com/shpda/text-to-image-gen-model-acgan
https://github.com/shreyansh26/Red-Teaming-Language-Models-with-Language-Models
https://github.com/shubhamagarwal92/eacl-reproducibility
A Systematic Review of Reproducibility Research in Natural Language Processing
https://github.com/shubhambitsg/activity-recognition
Moments in Time Dataset: one million videos for event understanding
https://github.com/shunk031/chainer-skin-lesion-detector
https://github.com/shyam671/Twin_Auxiliary_Classifier_GAN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.