Papers with Code 아카이브

Data-free Knowledge Distillation

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하위 태스크: 1
평가표: 2
보존된 평가 기록: 8

코드

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

https://github.com/lmquan2000/mask-mixup

공식 코드

GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic Animal Segmentation

https://github.com/locuslab/open-unlearning

공식 코드

OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics

https://github.com/lofrienger/endodepthbenchmark

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Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data

https://github.com/longkukuhi/lacvit

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LaCViT: A Label-aware Contrastive Fine-tuning Framework for Vision Transformers

https://github.com/lookuz/vidhal

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VidHal: Benchmarking Temporal Hallucinations in Vision LLMs

https://github.com/lordog/r-judge

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R-Judge: Benchmarking Safety Risk Awareness for LLM Agents

https://github.com/loreley99/syntheval_checklist

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SYNTHEVAL: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists

https://github.com/lorjul/sgbench

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A Review and Efficient Implementation of Scene Graph Generation Metrics

https://github.com/louisanity/cuphastlearn

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Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations

https://github.com/lpd-epfl/byzfl

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ByzFL: Research Framework for Robust Federated Learning

https://github.com/ltecot/rand_bench_opt_quantum

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Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems

https://github.com/ltgoslo/noreval

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NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark

https://github.com/lucagioacchini/auto-pen-bench

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AutoPenBench: Benchmarking Generative Agents for Penetration Testing

https://github.com/lucagioacchini/genai-pentest-paper

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AutoPenBench: Benchmarking Generative Agents for Penetration Testing

https://github.com/lucapodo/evallm

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Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

https://github.com/lucianoavinas/lowrank-gnn-kernels

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Simple GNNs with Low Rank Non-parametric Aggregators

https://github.com/luciusssss/milic-eval

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MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languages

https://github.com/ludwig-ai/ludwig

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Personalized Benchmarking with the Ludwig Benchmarking Toolkit

https://github.com/lufan31/comprecap

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Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning

https://github.com/luiscruz/slr-green-ai

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A Systematic Review of Green AI

https://github.com/luisdavid64/Skelite

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Skelite: Compact Neural Networks for Efficient Iterative Skeletonization

https://github.com/luisfelipewb/RL4WasteCapture

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Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field Tests

https://github.com/lujiarui/str2str

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Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling

https://github.com/luka-kovacevic/causalregnet

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Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments

https://github.com/luomancs/remuq

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End-to-end Knowledge Retrieval with Multi-modal Queries

https://github.com/luoshiya/csd

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Customizing Synthetic Data for Data-Free Student Learning

https://github.com/luxiya01/mbes-registration-data

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Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration

https://github.com/lvyiwei1/StylePTB

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StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

https://github.com/lx709/reobench

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REOBench: Benchmarking Robustness of Earth Observation Foundation Models

https://github.com/lxa9867/imagefolder

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Robust Latent Matters: Boosting Image Generation with Sampling Error

https://github.com/lxa9867/r2bench

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$\text{R}^2$-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations

https://github.com/lyf1212/color-turbo

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Language-based Image Colorization: A Benchmark and Beyond

https://github.com/lzfelix/lio

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Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization

https://github.com/m-serra/action-inference-for-video-prediction-benchmarking

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Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study

https://github.com/m3rg-iitd/aila

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Autonomous Microscopy Experiments through Large Language Model Agents

https://github.com/mac-automl/abstract-reason-benchmark

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Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective

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