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/haodeqi/BenchmarkingIntentDetection

공식 코드

Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations

https://github.com/haoyu-r/how-to-manage-tinyml-at-scale

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How to Manage Tiny Machine Learning at Scale: An Industrial Perspective

https://github.com/haoyuzhao123/leanineqcomp

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Ineq-Comp: Benchmarking Human-Intuitive Compositional Reasoning in Automated Theorem Proving on Inequalities

https://github.com/happylkx/mmcode

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MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems

https://github.com/harvard-edge/airlearning

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Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation

https://github.com/hasanssl/bdslw60_code

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BdSLW60: A Word-Level Bangla Sign Language Dataset

https://github.com/hasibzunair/rsud20k

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RSUD20K: A Dataset for Road Scene Understanding In Autonomous Driving

https://github.com/havrylovv/isegprobe

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Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation

https://github.com/hawlyq/infometic

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InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation

https://github.com/hayatkhan8660-maker/DVFL-Net

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DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition

https://github.com/hbp-unibi/SNABSuite

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Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware

https://github.com/hc-guo/sns-bench-vl

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SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Services

https://github.com/hcmus-thesis-gulu/context-aware-summarization

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Enhancing Video Summarization with Context Awareness

https://github.com/he-tiantian/cats

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Learning Conjoint Attentions for Graph Neural Nets

https://github.com/heal-research/operon

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Contemporary Symbolic Regression Methods and their Relative Performance

https://github.com/healthml/active-segmentation

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Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation

https://github.com/healthx-lab/deepsegthoracic

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Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation

https://github.com/heathcliff-saku/viewfool_

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ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints

https://github.com/heaventian93/ImageNet-Models-on-Domain-Adaptation

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Impact of ImageNet Model Selection on Domain Adaptation

https://github.com/heidelberg-nlp/ancient-language-models

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Exploring Large Language Models for Classical Philology

https://github.com/heidelberg-nlp/cc-shap-vlm

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Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?

https://github.com/hellohaptik/HINT3

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HINT3: Raising the bar for Intent Detection in the Wild

https://github.com/helloworldlty/muse-gnn

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MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data

https://github.com/hellwigm/RotatedKleeMintyProblem

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A Linear Constrained Optimization Benchmark For Probabilistic Search Algorithms: The Rotated Klee-Minty Problem

https://github.com/helme/ecg_ptbxl_benchmarking

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Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

https://github.com/helmholtz-ai-energy/oialr

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Harnessing Orthogonality to Train Low-Rank Neural Networks

https://github.com/hendrycks/robustness

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Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

https://github.com/hewlettpackard/dc-rl

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SustainDC: Benchmarking for Sustainable Data Center Control

https://github.com/hexuandeng/newterm

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NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates

https://github.com/hhi-aml/histobenchmark

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From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology

https://github.com/hi-archers/mlake

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MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models

https://github.com/hicai-zju/sciknoweval

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SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models

https://github.com/hiest/distmis

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Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation

https://github.com/hikari-NYU/Emoji_Prediction_Datasets_MMS

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Emoji Prediction: Extensions and Benchmarking

https://github.com/hisaolabsustc/benchss

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Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization

https://github.com/hit-sirs/crobim

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Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation

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