Papers with Code 아카이브
Open-Ended Question Answering
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Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nsourlos/pneumonia_detection
https://github.com/nyu-dl/dl4dial-bayesian-calibration
Importance of Search and Evaluation Strategies in Neural Dialogue Modeling
https://github.com/open-mmlab/mmpose
TRB: A Novel Triplet Representation for Understanding 2D Human Body
https://github.com/opent03/LangevinDQN-torch
https://github.com/pnorridge/think-global-act-local
Think Global, Act Local: Relating DNN generalisation and node-level SNR
https://github.com/pokaxpoka/RAD_state_aug
https://github.com/pokaxpoka/rad_openaigym
https://github.com/pps-lab/fl-analysis
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
https://github.com/pwc-1/Paper-9/tree/main/3/stable-sam
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound
https://github.com/pwc-1/Paper-9/tree/main/4/stable-sam
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound
https://github.com/pytorch/fairseq
Parameter Differentiation based Multilingual Neural Machine Translation
https://github.com/rahulcoding/CheXNet
https://github.com/raidiance/bert-for-radiology
https://github.com/rutajoshi/cs231n-project
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?
https://github.com/sangyx/gtrick/tree/main/benchmark/pyg
Robust Optimization as Data Augmentation for Large-scale Graphs
https://github.com/secondmind-labs/bayesian_benchmarks
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
https://github.com/sgkasselau/pyaixi
https://github.com/simran-khanuja/multilingual-fig-qa
Testing the Ability of Language Models to Interpret Figurative Language
https://github.com/snap-stanford/pretrain-gnns
https://github.com/sourenaKhanzadeh/snakeAi
https://github.com/sunghyunjun/kaggle-hpa
https://github.com/tensorflow/models
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
https://github.com/thtang/CheXNet-with-localization
https://github.com/tkkiran/DIAG
Stochastic subgradient method converges at the rate $O(k^{-1/4})$ on weakly convex functions
https://github.com/um2ii/openjphpy
https://github.com/uma-pi1/OPIEC-pipeline
https://github.com/uma-pi1/minie
https://github.com/v0lta/Complex-gated-recurrent-neural-networks
https://github.com/vineet2104/StanceDetection-CS626
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification
https://github.com/xf1994/good_practices_for_person_reID
Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification
https://github.com/xiaoxiong74/face-cluster-by-infomap
https://github.com/yaqianzhang/repeatedaugmentedrehearsal
Online Class-Incremental Continual Learning with Adversarial Shapley Value
https://github.com/yichigo/Chest-X-Ray
https://github.com/ytchx1999/GCN_res-FLAG
Robust Optimization as Data Augmentation for Large-scale Graphs
https://github.com/zhaozhen2333/iflytek2021
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.