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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Efficient data selection" (30 stories)

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Data-efficient biomedical in-context learning: a diversity-enhanced submodular perspective
Lead StoryNaturegeneral
Jun 11

Data-efficient biomedical in-context learning: a diversity-enhanced submodular perspective

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5QMFpGaFpaLTdQS1IwRVF1ZHg3MEJzTGxEQ2VCSkQtRFl0ZHJnVzZEZmVxM1h0d2JadnZzV001c0FhSm1LVG5nM0o4Ukg2YjNvaS1yWWJPd0NDdXREbDFF?oc=5" target="_blank">Data-efficient biomedical in-context learning: a diversity-enhanced submodular perspective</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Efficient data selection"

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29 stories displayed
Importance-Aware Data Selection for Efficient LLM Instruction Tuning
The Association for the Advancement of Artificial Intelligencepolitics

Importance-Aware Data Selection for Efficient LLM Instruction Tuning

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE1RNm5JdnJsUVFmTDlEYmJQLVZFSF9rbVZtcFVTamRMTjdJSk1LQWIzMGU4cExwbUx2X2F4LTBKbmJkaHc5UWVWS3RjZTVCS2FwWFFfTndBYzZQbDQyaFVTN054cVQ?oc=5" target="_blank">Importance-Aware Data Selection for Efficient LLM Instruction Tuning</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration
alphaXivtech

OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration

<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE03WllaY2tfeXFOZjc5bzlpa1JuR0FGc05ZSkQxdEFxTi1KNkZsd2w2SzRIR19Zby1hYzMzamRCTEY4TGtkOVRSenVXTmVhTVly?oc=5" target="_blank">OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration</a>  <font color="#6f6f6f">alphaXiv</font>

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Efficient data selection for time series forecasting using a lightweight linear proxy framework
Naturepolitics

Efficient data selection for time series forecasting using a lightweight linear proxy framework

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE93RW1FUTdieTBGN21fX2dsRWQ3UGJxWGtFUU5vY1hPMjNzVEpJWXpvTHVuNGQwWEl4MTdfeVZGTHd3eXBraGNYQUU0bkE2V1dENmNIV29KblNZU1dYQTFZ?oc=5" target="_blank">Efficient data selection for time series forecasting using a lightweight linear proxy framework</a>  <font color="#6f6f6f">Nature</font>

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U of A researchers reveal the importance of data choice in effective flood insurance
University of Arizona Newsgeneral

U of A researchers reveal the importance of data choice in effective flood insurance

<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxQUDNxQV9IeGh0WkNJQ1VKU3NDX0ZLTmVjSlRWOWhfVkdSRkJ0bGE4RXVHS0wxUjd0MEhEbjZWck1UR25XN09YV2cyRFhXVC1SdFNHdzdzM0o4VElaQmFOUXRQOUxyU2Q0eGZSOGpWY21FNkNiTDJja1JzY3kyRU5nd1k0ZWJ5MXFOc2V4cUFmTllmM1g3X1hqMmJyYS1EOHVp?oc=5" target="_blank">U of A researchers reveal the importance of data choice in effective flood insurance</a>  <font color="#6f6f6f">University of Arizona News</font>

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PADP: progressive and adaptive data pruning for efficient incremental learning
Natureworld

PADP: progressive and adaptive data pruning for efficient incremental learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8wXzJFNE9zWU9Xa25VTWdfZTl6blNTN3YyR2pZSlduZlgwenJLaXpXTWMyYUROY0ctclQzbllYMUxLc1FocEkwOVhHazhqNW9TMFdockhnVFRXLThRU0ZZ?oc=5" target="_blank">PADP: progressive and adaptive data pruning for efficient incremental learning</a>  <font color="#6f6f6f">Nature</font>

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GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
The Association for the Advancement of Artificial Intelligencepolitics

GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBIWlRFNElwMmwycWlPMllnWXZTRkJLTS1XUDM0NlZDSkNOZ2JxN01DY3drS1BXd2JNcFUxUUNEMmI4UUF1WDAtTkFVS05LOFFQcnFDNzVDRS1WTnZSZUNJd3FMOUE?oc=5" target="_blank">GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward
alphaXivgeneral

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward

<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTFBzZExiR1RXWFZsWFF5WGhhOW82dGNCTkNoZkYtOHJxNTJpbjdCXzBEUXNNZzFORWZWa19YWjZpLTVDQ1JqOVRNRVUxX1RRalNP?oc=5" target="_blank">Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward</a>  <font color="#6f6f6f">alphaXiv</font>

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Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification | Scientific Reports
Naturepolitics

Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBEemZfQWhJLWs1VzJGdWtaRGNPdnRBc2VYVDI5bTJVNFNzNFp0dGs3N3VOMENubTFJSjE3VWFXZjRya2dLU09ITk5KcFoxM3A4UlJ2eWIwSzdRcFBkaWpF?oc=5" target="_blank">Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces
The Association for the Advancement of Artificial Intelligencemarkets

MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5sYzlmeno1VWQzMjVxOGdDcVZDYnNjZGl6eHBtRFdFMWpwRHhFSGVZR0RxVDJJUlA2VjFyYVRvVHoxQzlTR2E4SFhoMHEzQUotOThrYXlDRmtzOXBNLXkxTkpsaF8?oc=5" target="_blank">MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks
Naturegeneral

An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE80T3BWRzhJRjRnLXZaYXlzRzYtajFZOWtGaVlzZWM3QUVsczV3M0ZjLUJ0TjBtMEVaU1JpY21BUTU0MDJaTTFudW96SUNwb1Ezb25PYjk5V292Z3NXVlo4?oc=5" target="_blank">An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks</a>  <font color="#6f6f6f">Nature</font>

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Federated learning for heterogeneous electronic health record systems with cost effective participant selection
Naturemarkets

Federated learning for heterogeneous electronic health record systems with cost effective participant selection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB5dm9hNUxPWm1BazlqbG83MW1kSVN5a0xTaXFjaVNQSXRPN2wyenhodmI5WHltRDhXTHFUZ285UHlmVVE4UGNvQnItTldlVW1pNGx0TDNBQXdQRVhPaFVV?oc=5" target="_blank">Federated learning for heterogeneous electronic health record systems with cost effective participant selection</a>  <font color="#6f6f6f">Nature</font>

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An efficient and interactive feature selection approach based on copula entropy for high-dimensional genetic data
Naturepolitics

An efficient and interactive feature selection approach based on copula entropy for high-dimensional genetic data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9abW5JUWxuSV94SzRTTHN5dU9fTU5UeFdpaWlDaXh2dkhZUGItQlg5TVRiTjRaT2Rmdk04T0JtYi1CRFdjN2p5MkxCYVYxZEpleERZcVRVOVloVDVlcFNz?oc=5" target="_blank">An efficient and interactive feature selection approach based on copula entropy for high-dimensional genetic data</a>  <font color="#6f6f6f">Nature</font>

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Unlabeled data selection for active learning in image classification
Naturepolitics

Unlabeled data selection for active learning in image classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBfZkZkVUduU1JXVEw4OFNJNmZneEJsSDNxU3V3T2t2am1qdE5NeWNaNmVRcW53ZHNKNWRPUTF5UDNUM2Rna1pRcTBaeWVqZDQzcnJqZ3Vqa1dTQ01iOXlV?oc=5" target="_blank">Unlabeled data selection for active learning in image classification</a>  <font color="#6f6f6f">Nature</font>

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Efficient data consensus algorithm integrating FL and blockchain dynamic partition protocol PBFT
Naturetech

Efficient data consensus algorithm integrating FL and blockchain dynamic partition protocol PBFT

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA4OFVEMmxUVU4xSkZBalZBQ0VMeTdhenRQOVhwck5lYTZLTnl6MFdJM3p4bmZpSWt5UUNQdUExRnlGX1VwRnJVaWtNSnRGb1hoQXc3cHU1UTdFUUtPUUhV?oc=5" target="_blank">Efficient data consensus algorithm integrating FL and blockchain dynamic partition protocol PBFT</a>  <font color="#6f6f6f">Nature</font>

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Optimizing high dimensional data classification with a hybrid AI driven feature selection framework and machine learning schema
Naturetech

Optimizing high dimensional data classification with a hybrid AI driven feature selection framework and machine learning schema

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE84OEpYbV93UHdseDlWRTRNRVd4eGlkQ09CVE1vbkZxSGtPa2NRaTJ5WmR0UVBGbkNSTzYzc29MZXYxTWNsa1QtNTRXb1dyWEV4Mmd0aXFDaUpuWklYWVJN?oc=5" target="_blank">Optimizing high dimensional data classification with a hybrid AI driven feature selection framework and machine learning schema</a>  <font color="#6f6f6f">Nature</font>

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Exploiting redundancy in large materials datasets for efficient machine learning with less data
Natureworld

Exploiting redundancy in large materials datasets for efficient machine learning with less data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9QN3BmN3kwNUV5U1NCYjZ4UUpPNXZhS292WUkwVE5haDhwQUU3NFI2a0dNTWpWVUFFV0hQcFNrYUpKcGVHV3VFUXktaVhvRDk4MnNWZWpEUjVNbWdRYllv?oc=5" target="_blank">Exploiting redundancy in large materials datasets for efficient machine learning with less data</a>  <font color="#6f6f6f">Nature</font>

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Fast Fourier transform is a training-free, ultrafast, highly efficient, and fully interpretable approach for epigenomic data compression
Naturetech

Fast Fourier transform is a training-free, ultrafast, highly efficient, and fully interpretable approach for epigenomic data compression

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9oRTNTYjI5RUwwc2hVWGdYR2tENmIwcVJaR25sOTIzZWxRQnp0TXpjY1VqQTRpTDBna0RpWVUxTi1GdGVob283S21jRHpQUWVmV2ZsZG9IeTJRMlhtdElz?oc=5" target="_blank">Fast Fourier transform is a training-free, ultrafast, highly efficient, and fully interpretable approach for epigenomic data compression</a>  <font color="#6f6f6f">Nature</font>

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An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization
Naturetech

An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE81N1dYT1ZYbHlKbndVTW5WV3RVemF1ZE1LYTlSUGZTV3dLRFVTaC1oQlZpemE0bnhuWkdnMGNmTGtPSFR2eW15NlBUR3ctVmpSeXVwNi0xaVVfNVBvbElv?oc=5" target="_blank">An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization</a>  <font color="#6f6f6f">Nature</font>

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Anomaly-based data reduction for energy-efficient edge computing in IoT with LoRa
Naturegeneral

Anomaly-based data reduction for energy-efficient edge computing in IoT with LoRa

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5sSS00ODYyelRBRjJUcEhTdkdCSFdfZzdhWWJsWXFFbkVoZERJRkFFaldZTXUzR1UzbGtuaWxyb2ZNa253RlZtWGNnQVZEekxzc3R6Zk1RYURhM193SFhV?oc=5" target="_blank">Anomaly-based data reduction for energy-efficient edge computing in IoT with LoRa</a>  <font color="#6f6f6f">Nature</font>

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LS-BMO-HDBSCAN as a hybrid memetic bacterial intelligence framework for efficient data clustering
Naturegeneral

LS-BMO-HDBSCAN as a hybrid memetic bacterial intelligence framework for efficient data clustering

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4xZWVUNjQzNXpzVVVwTW5IS3owS3FfbjJTUjZZc3lzLTI3SXVZZE9GVXRfOUlySkVWV2g3RV9oYW1LYnVDQ1N4UFV5OTlnVTI4aWsycmM0VGxFb2hUSjVJ?oc=5" target="_blank">LS-BMO-HDBSCAN as a hybrid memetic bacterial intelligence framework for efficient data clustering</a>  <font color="#6f6f6f">Nature</font>

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Energy-efficient data routing using neuro-fuzzy based data routing mechanism for IoT-enabled WSNs
Naturegeneral

Energy-efficient data routing using neuro-fuzzy based data routing mechanism for IoT-enabled WSNs

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ObkhRYVpKSEx0SXNTVXZjZXNHYmFiLWNlT2QzU3ZwNWFWa2l4ajU5TmxVNnd5OXlVTVMxNmJmVEVscmxjU3MyVnZjTll6dzk1eEdhWVJadk5ZRmw1UU84?oc=5" target="_blank">Energy-efficient data routing using neuro-fuzzy based data routing mechanism for IoT-enabled WSNs</a>  <font color="#6f6f6f">Nature</font>

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Data efficient machine learning potentials for modeling catalytic reactivity via active learning and enhanced sampling
Naturegeneral

Data efficient machine learning potentials for modeling catalytic reactivity via active learning and enhanced sampling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ObUpSZ1YzWWNEV2JxU1pqYmxkM01OQkVfdXpXdkx4NmJIa2hvSzV1YnRJRVg1d0QwX1Bhc1dxYzhvZ056aWRlNVRCSkVWNGRla2V1UEt3bXpGSlhwQmhn?oc=5" target="_blank">Data efficient machine learning potentials for modeling catalytic reactivity via active learning and enhanced sampling</a>  <font color="#6f6f6f">Nature</font>

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Trade-offs between machine learning and deep learning for mental illness detection on social media
Naturegeneral

Trade-offs between machine learning and deep learning for mental illness detection on social media

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9zT1g5TU1MTzh2c3hmcDR5anhmb0hsaUtmeHkzd05IODBOdDdQZlRYY0NyY2paUW4wUVZjRDVTazZYdkRLSUw2eUJiaTh2VTFXQ0VVU2xDUElBQlJ3Zm40?oc=5" target="_blank">Trade-offs between machine learning and deep learning for mental illness detection on social media</a>  <font color="#6f6f6f">Nature</font>

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Efficient and specific selection of high-affinity DNA aptamers targeting μ-opioid receptor via functional extracellular vesicles | Communications Biology
Naturepolitics

Efficient and specific selection of high-affinity DNA aptamers targeting μ-opioid receptor via functional extracellular vesicles | Communications Biology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15NDhXVy0yNnpnYUoxNHpSVGwtNWNBV1VpTUd2NmhTY3NvUUZCMVAyelEydUdLcTc5ZVhxWUduT1Z5TXNqbVM4bm1ndDFCUnFLdU5QSnN5cldFT2ZIVnlj?oc=5" target="_blank">Efficient and specific selection of high-affinity DNA aptamers targeting μ-opioid receptor via functional extracellular vesicles | Communications Biology</a>  <font color="#6f6f6f">Nature</font>

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Efficient Data Valuation with Exact Shapley Values
Towards Data Sciencegeneral

Efficient Data Valuation with Exact Shapley Values

<a href="https://news.google.com/rss/articles/CBMimgFBVV95cUxNOFFfMjZISFBucU9kV3k0UDllS3RMSkZzdXVlQmJSck9tRFczSHhlNDRTdlJoZGxjQWVBRnlwSmd0RTdqLXkxc0RnZ3BDMzJxWG4tT01LckJfRXlraUR0aEpXUjJ6dzRjeWFiaWdWTEFXOW83Q3VSQ1d2bnFYS0ZfNGV1V1ZEb3pZTEVTZHlEWC1NT1p0c3dhYXdR?oc=5" target="_blank">Efficient Data Valuation with Exact Shapley Values</a>  <font color="#6f6f6f">Towards Data Science</font>

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A comprehensive benchmark of active learning strategies with AutoML for small-sample regression in materials science
Naturescience

A comprehensive benchmark of active learning strategies with AutoML for small-sample regression in materials science

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBvLWpoQ3c1LUE5bXVmazhhNGhiQ3pCSWpXTEhSdkZxQVc3LWtJaGRxQ3ZVNHVzby1lekk0V0hYZ1c4MUdNdXVqMksyUm16VTc4UTZtekpiVGg5TkUtWWdj?oc=5" target="_blank">A comprehensive benchmark of active learning strategies with AutoML for small-sample regression in materials science</a>  <font color="#6f6f6f">Nature</font>

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Dimensionality reduction in hyperspectral imaging using standard deviation-based band selection for efficient classification
Naturepolitics

Dimensionality reduction in hyperspectral imaging using standard deviation-based band selection for efficient classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA5OV9mMHhmejZOTFotZnpaWlMtZ2x6NmNFOE12OXZDVE9ZU0d3WngyUWRSbjQzX2dSMDgwOUN3dnFfVE5SQ2NZRkFqS2JRRk1HdUwxeFZ2UmJ1UWkzbHNJ?oc=5" target="_blank">Dimensionality reduction in hyperspectral imaging using standard deviation-based band selection for efficient classification</a>  <font color="#6f6f6f">Nature</font>

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Advancing educational data mining for enhanced student performance prediction: a fusion of feature selection algorithms and classification techniques with dynamic feature ensemble evolution
Naturetech

Advancing educational data mining for enhanced student performance prediction: a fusion of feature selection algorithms and classification techniques with dynamic feature ensemble evolution

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBtMjlreTJ2ajdGOUNEdkdUcjF2VVJSWE1fVnhqUDFQR2tKN3NCUUI5Rmx0dXdnaXc4T215SkVVelNIME9qbHFqOVVpN3VYU2JrUjN1TzktaEZPbUQ2QWZN?oc=5" target="_blank">Advancing educational data mining for enhanced student performance prediction: a fusion of feature selection algorithms and classification techniques with dynamic feature ensemble evolution</a>  <font color="#6f6f6f">Nature</font>

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Adaptive Piecewise Distillation for Efficient LiDAR Data Generation
The Association for the Advancement of Artificial Intelligencegeneral

Adaptive Piecewise Distillation for Efficient LiDAR Data Generation

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTE9yQjNMRHh3MWdwdVBaMlQxcXRZOU1DQ0o0NkRiMnNfcXlwT0o2VlNPTTh6dG1ZeUNHTGVCVjAxOHZfNElPbHlpYURUS19hUFMxUzdVWTk2UXlmbjZSdjdDOWVfU1I5cFI2c3k4Mg?oc=5" target="_blank">Adaptive Piecewise Distillation for Efficient LiDAR Data Generation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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"Efficient data selection" — Live Google News Trends & Headlines