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Prediction

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/deel-ai-papers/consema

공식 코드

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets

https://github.com/deel-ai-papers/lip-rcp

공식 코드

Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks

https://github.com/deep-real/dcp

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Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales

https://github.com/deep-real/vlm-pred-rationality

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Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality

https://github.com/deep-spin/sparse-activations-cp

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Sparse Activations as Conformal Predictors

https://github.com/deep-spin/spec

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The Explanation Game: Towards Prediction Explainability through Sparse Communication

https://github.com/deep-spin/uncertainties_mt_eval

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Disentangling Uncertainty in Machine Translation Evaluation

https://github.com/deepgraphlearning/esm-s

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Structure-Informed Protein Language Model

https://github.com/deepgraphlearning/gearnet

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Protein Representation Learning by Geometric Structure Pretraining

https://github.com/deepgraphlearning/peer_benchmark

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PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

https://github.com/deepgraphlearning/s3f

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Multi-Scale Representation Learning for Protein Fitness Prediction

https://github.com/deepgraphlearning/spn

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Neural Structured Prediction for Inductive Node Classification

https://github.com/deeplearnxmu/core-nepd

공식 코드

Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing

https://github.com/deepmind/hai_selective_prediction

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Role of Human-AI Interaction in Selective Prediction

https://github.com/deeppathology/cox_amil

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Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays

https://github.com/deezer/gravity_graph_autoencoders

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Gravity-Inspired Graph Autoencoders for Directed Link Prediction

https://github.com/dekai21/multi_agent_intersection

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Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information

https://github.com/delmarin35/Dynamic-Neural-Models-for-Knowledge-Tracing

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Student Performance Prediction Using Dynamic Neural Models

https://github.com/demireal/ppci

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Prediction-powered Generalization of Causal Inferences

https://github.com/dengjianyuan/respite_mpp

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Unraveling Key Elements Underlying Molecular Property Prediction: A Systematic Study

https://github.com/denizlab/mr-transformer

공식 코드

MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging

https://github.com/dependablesystemslab/jujutsu

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Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks

https://github.com/dependablesystemslab/mia_defense_hamp

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Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction

https://github.com/derekchen14/mixture_soft_prompts

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Mixture of Soft Prompts for Controllable Data Generation

https://github.com/devmehta01/dipd

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DiPD: Disruptive event Prediction Dataset from Twitter

https://github.com/dfdazac/blp

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Inductive Entity Representations from Text via Link Prediction

https://github.com/dhimasryan/MOSA-Net-Cross-Domain

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Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features

https://github.com/dice-group/Convolutional-Hypercomplex-Embeddings-for-Link-Prediction

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Convolutional Hypercomplex Embeddings for Link Prediction

https://github.com/dice-group/OOV-In-Link-Prediction

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Out-of-Vocabulary Entities in Link Prediction

https://github.com/dice-group/Shallom

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A shallow neural model for relation prediction

https://github.com/dice-group/joint-model-disaster-prediction

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Semantic-based End-to-End Learning for Typhoon Intensity Prediction

https://github.com/diliadis/deepmtp

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Hyperparameter optimization in deep multi-target prediction

https://github.com/dipkamal/chestxrayclassifier

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Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs

https://github.com/dipteshdas/cp-shim

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A Confidence Machine for Sparse High-Order Interaction Model

https://github.com/dipuk0506/uq

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Uncertainty Aware Neural Network from Similarity and Sensitivity

https://github.com/divelab/AIRS

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Learning to Discover Regulatory Elements for Gene Expression Prediction

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.