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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/langtech-bsc/mt-evaluation

공식 코드

MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluation

https://github.com/language-modeling-lab/TuringQ

공식 코드

TuringQ: Benchmarking AI Comprehension in Theory of Computation

https://github.com/lanl/openfwi

공식 코드

OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion

https://github.com/lasseufpa/caviar

공식 코드

CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twins

https://github.com/lasuomela/carla_vloc_benchmark

공식 코드

Benchmarking Visual Localization for Autonomous Navigation

https://github.com/launchnlp/ManyICLBench

공식 코드

Retrieval or Global Context Understanding? On Many-Shot In-Context Learning for Long-Context Evaluation

https://github.com/laurab222/tsad

공식 코드

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series

https://github.com/layer6ai-labs/ssl-robustness

공식 코드

Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks

https://github.com/layneins/Zero-shot-RLHR

공식 코드

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning

https://github.com/lbaa2022/llmtaskplanning

공식 코드

LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents

https://github.com/lcastri/PeopleFlow

공식 코드

Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments

https://github.com/lclarte/conformalamp.jl

공식 코드

Building Conformal Prediction Intervals with Approximate Message Passing

https://github.com/lcs-crr/path

공식 코드

PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series

https://github.com/lcs2-iiitd/gothate

공식 코드

Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment

https://github.com/lcs2-iiitd/hatefinetune

공식 코드

Probing Critical Learning Dynamics of PLMs for Hate Speech Detection

https://github.com/learnedsystems/SOSD

공식 코드

SOSD: A Benchmark for Learned Indexes

https://github.com/legaldocumentprocessing/fir_dataset_icdar2023

공식 코드

TransDocAnalyser: A Framework for Offline Semi-structured Handwritten Document Analysis in the Legal Domain

https://github.com/leiluk1/codesearcher

공식 코드

Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-Tuning

https://github.com/leogrin/tabular-benchmark

공식 코드

Why do tree-based models still outperform deep learning on tabular data?

https://github.com/leoiv/bencher

공식 코드

Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization

https://github.com/leolee99/injecguard

공식 코드

InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models

https://github.com/leolyliu/HOI4D-Instructions

공식 코드

HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction

https://github.com/leonchou5311/counterfactual-benchmark

공식 코드

Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box

https://github.com/leonnnop/var

공식 코드

Visual Abductive Reasoning

https://github.com/letian2003/c-vqa

공식 코드

What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models

https://github.com/lewisclifton/mamba-wbc-classification

공식 코드

Mamba-Based Ensemble learning for White Blood Cell Classification

https://github.com/lfrison/i4b

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Constrained Reinforcement Learning for Safe Heat Pump Control

https://github.com/li-fangyu/sequential_rec

공식 코드

Improving Sequential Recommendation Models with an Enhanced Loss Function

https://github.com/liamjdavis/sudoku-smt-solvers

공식 코드

Evaluating SAT and SMT Solvers on Large-Scale Sudoku Puzzles

https://github.com/liaopeiyuan/artbench

공식 코드

The ArtBench Dataset: Benchmarking Generative Models with Artworks

https://github.com/liaorongfan/deeppersonality

공식 코드

An Open-source Benchmark of Deep Learning Models for Audio-visual Apparent and Self-reported Personality Recognition

https://github.com/liar-zzy/benchmarking-ultra-high-definition-single-image-reflection-removal

공식 코드

Benchmarking Ultra-High-Definition Image Reflection Removal

https://github.com/lidiagarrucho/mama-mia

공식 코드

A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

https://github.com/lifelong-ml/offline-compositional-rl-datasets

공식 코드

Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning

https://github.com/lifelonglab/m2i_i2m_benchmark

공식 코드

From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning

https://github.com/lightning-uq-box/lightning-uq-box

공식 코드

Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning

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