https://github.com/rudolfwilliam/deepbc
공식 코드Deep Backtracking Counterfactuals for Causally Compliant Explanations
Papers with Code 아카이브
Philosophy
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sameysimon/hypotheticalretrospectionmachine
공식 코드Uncertain Machine Ethical Decisions Using Hypothetical Retrospection
https://github.com/saptarshi059/cdqa-v1-targetted-pretraining
공식 코드TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering
https://github.com/scottviteri/ManipulateProofTrees
공식 코드https://github.com/shaoyangxu/Multilingual-Human-Value-Concepts
공식 코드https://github.com/shawn615/MixNeRF
공식 코드MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
https://github.com/shiqiyu/opengait
공식 코드https://github.com/simbianai/taskgen
공식 코드TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON
https://github.com/sisl-uri/arch_backdoor_llm
공식 코드Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor
https://github.com/social-ai-uoft/sorrel
공식 코드Sorrel: A simple and flexible framework for multi-agent reinforcement learning
https://github.com/softsys4ai/athena
공식 코드ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense
https://github.com/spratm-asleaf/bayes-rule
공식 코드https://github.com/stephaniebrandl/domain-word-embeddings
공식 코드https://github.com/sungho-coolg/fscl
공식 코드Fair Contrastive Learning for Facial Attribute Classification
https://github.com/sydney-machine-learning/sentimentanalysis_bhagavadgita
공식 코드https://github.com/sydney-machine-learning/topicmodelling_vedictexts
공식 코드https://github.com/t6-thu/xTED
공식 코드xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
https://github.com/tensorflow/models
공식 코드A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation
https://github.com/thanosm97/end-to-end-chess-recognition
공식 코드https://github.com/thelittlekid/natural-image-spaces
공식 코드Towards an Understanding of Neural Networks in Natural-Image Spaces
https://github.com/thu-ml/cca
공식 코드Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment
https://github.com/tinyllava/tinyllava_factory
공식 코드TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models
https://github.com/uber-research/normative-uncertainty
공식 코드https://github.com/umdatasciencelab/llm-in-the-loop-bo
공식 코드https://github.com/vicmak/TurnOfTheScrew
공식 코드https://github.com/wenjiedu/awesome_imputation
공식 코드PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series
https://github.com/wenjiedu/brewpots
공식 코드PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series
https://github.com/wzzheng/streamvggt
공식 코드https://github.com/yjiangcm/lte
공식 코드https://github.com/yuting-wei/ac-eval
공식 코드AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models
https://github.com/yxymessi/h2e-framework
공식 코드https://github.com/zhanggongjie/mapvr
공식 코드Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
https://github.com/zhentao-liu/klt-jnd
공식 코드Towards Top-Down Just Noticeable Difference Estimation of Natural Images
https://github.com/zhijing-jin/NLP4SocialGood_Papers
공식 코드How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact
https://github.com/zhijing-jin/nlp4sg_acl2021
공식 코드How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact
https://github.com/zhujiapeng/aurora
공식 코드Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.