Ablation Study

دراسة الاستئصال

منهجية تجريبية تُزيل أو تُعدّل مكوناً واحداً من النظام في كل تجربة لقياس إسهامه الفعلي في الأداء الكلي.

An experimental methodology that removes or modifies one component of a system per experiment to measure its actual contribution to overall performance.

Also translated asاختبار الأهمية النسبية لعناصر التصميم، تحليل الاستئصال، تحليل المكونات بالإزالة، دراسة الحذف، دراسة الحذف التجريبي، فحص أثر المكونات عبر تعطيلها فرادى

First appears in this corpus in: Histograms of Oriented Gradients for Human Detection (2005)

Appears in these papers

Parameter-Efficient Transfer Learning for NLP2019 in the sky ✦
ALIGN: Scaling Up Visual and Vision-Language Representation Learning with Noisy Text Supervision2021 in the sky ✦
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware2023 in the sky ✦
Mastering the Game of Go with Deep Neural Networks and Tree Search2016 in the sky ✦
Atlas: Few-shot Learning with Retrieval Augmented Language Models2023 in the sky ✦
BART: Denoising Sequence-to-Sequence Pre-Training for Natural Language Generation, Translation, and Comprehension2019 in the sky ✦
BEiT: BERT Pre-Training of Image Transformers2021 in the sky ✦
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer2019 in the sky ✦
BLIP-2: Bootstrapping Language-Image Pre-Training with Frozen Image Encoders and Large Language Models2023 in the sky ✦
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model2022 in the sky ✦
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning2020 in the sky ✦
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models2022 in the sky ✦
Chronos: Learning the Language of Time Series2024 in the sky ✦
Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning2022 in the sky ✦
DeBERTa: Decoding-Enhanced BERT with Disentangled Attention2020 in the sky ✦
Deep Reinforcement Learning from Human Preferences2017 in the sky ✦
DeepSeek-V3 Technical Report2024 in the sky ✦
Training Data-Efficient Image Transformers & Distillation Through Attention2021 in the sky ✦
Diffusion Models Beat GANs on Image Synthesis2021 in the sky ✦
Diffusion Models Beat GANs on Image Synthesis2021 in the sky ✦
Emerging Properties in Self-Supervised Vision Transformers2021 in the sky ✦
DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter2019 in the sky ✦
Are Transformers Effective for Time Series Forecasting?2023 in the sky ✦
ELECTRA: Pre-Training Text Encoders as Discriminators Rather Than Generators2020 in the sky ✦
Gemma: Open Models Based on Gemini Research and Technology2024 in the sky ✦
Generative Agents: Interactive Simulacra of Human Behavior2023 in the sky ✦
Improving Language Understanding by Generative Pre-Training2018 in the sky ✦
Do Transformers Really Perform Bad for Graph Representation?2021 in the sky ✦
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection2023 in the sky ✦
Histograms of Oriented Gradients for Human Detection2005 in the sky ✦
HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face2023 in the sky ✦
LIMA: Less Is More for Alignment2023 in the sky ✦
LIMA: Less Is More for Alignment2023 in the sky ✦
Visual Instruction Tuning2023 in the sky ✦
Momentum Contrast for Unsupervised Visual Representation Learning2020 in the sky ✦
MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model2020 in the sky ✦
N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019 in the sky ✦
Open X-Embodiment: Robotic Learning Datasets and RT-X Models2024 in the sky ✦
OPT: Open Pre-Trained Transformer Language Models2022 in the sky ✦
PaLM: Scaling Language Modeling with Pathways2022 in the sky ✦
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation2018 in the sky ✦
Rainbow: Combining Improvements in Deep Reinforcement Learning2018 in the sky ✦
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation2014 in the sky ✦
RoBERTa: A Robustly Optimized BERT Pretraining Approach2019 in the sky ✦
RoBERTa: A Robustly Optimized BERT Pretraining Approach2019 in the sky ✦
RT-1: Robotics Transformer for Real-World Control at Scale2022 in the sky ✦
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances2022 in the sky ✦
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection2023 in the sky ✦
Sentence-BERT: Sentence Embeddings Using Siamese BERT-Networks2019 in the sky ✦
SQuAD: 100,000+ Questions for Machine Comprehension of Text2016 in the sky ✦
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows2021 in the sky ✦
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions2018 in the sky ✦
TD3: Addressing Function Approximation Error in Actor-Critic Methods2018 in the sky ✦
A Decoder-Only Foundation Model for Time Series Forecasting2024 in the sky ✦
Voyager: An Open-Ended Embodied Agent with Large Language Models2023 in the sky ✦
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations2020 in the sky ✦
XLNet: Generalized Autoregressive Pretraining for Language Understanding2019 in the sky ✦