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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Using pseudo-labeling to" (30 stories)

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Weakly supervised colorectal gland segmentation through self-supervised learning and attention-based pseudo-labeling
Lead StoryNaturegeneral
Jan 19

Weakly supervised colorectal gland segmentation through self-supervised learning and attention-based pseudo-labeling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1CcFA2UjZMNnNqQWRicE56NmNZTkpTT3ZDdzktT2VQZzJBY05nbUhWMmNGOWotOWNaZVBZaHVOdTB6eWVwc0dYNWVKNVdpYXpyUlBRNVlQWUNma1gzZDVz?oc=5" target="_blank">Weakly supervised colorectal gland segmentation through self-supervised learning and attention-based pseudo-labeling</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Using pseudo-labeling to"

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29 stories displayed
Robust Pseudo-Labeling via Decoupled Class-Aware Filtering and Dynamic Category Correction
The Association for the Advancement of Artificial Intelligencegeneral

Robust Pseudo-Labeling via Decoupled Class-Aware Filtering and Dynamic Category Correction

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5UT0o0QmdXejFUb29GYTdkbnFyRnozOFNMcHhiMGVoMTBfTlhQc2YxOF82TUlaN1c5aEh2T3ZScUhBaE82ZWpwWU8wXzlycnZISXBRMGtUMWFVNU05WXBRWjRiZlc?oc=5" target="_blank">Robust Pseudo-Labeling via Decoupled Class-Aware Filtering and Dynamic Category Correction</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Knowledge distillation and pseudo-labeling for lightweight YOLOv11-based structural crack detection
Naturegeneral

Knowledge distillation and pseudo-labeling for lightweight YOLOv11-based structural crack detection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1aNXoyQ3doREd3MnJ5ci1MaVQ5QlAxdTNud0xvelBxMkpVNmxTYjRQRTZvbWJoUUZKcVlfZl9aYUhPdzhPd3hQYkJxMm1QS2hHS0xVZVVmRF9GQnFlbUNz?oc=5" target="_blank">Knowledge distillation and pseudo-labeling for lightweight YOLOv11-based structural crack detection</a>  <font color="#6f6f6f">Nature</font>

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Continuous Pseudo-Labeling from the Start
Apple Machine Learning Researchgeneral

Continuous Pseudo-Labeling from the Start

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTFA5dFViOW8xekROdGthUXBiZjlGcVRLZ21TcDgzTjZNQXpUd0t4SUtKYV9DTTd3QUJSSDJPdFZoTnNIWjJEcWRXU0VSZHZpbFNjbkhVTWZOOUpmV3VKaElvVDNwbDRRNGZoa241M1lTNzVYU3hfUGU2VQ?oc=5" target="_blank">Continuous Pseudo-Labeling from the Start</a>  <font color="#6f6f6f">Apple Machine Learning Research</font>

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Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling
The Association for the Advancement of Artificial Intelligencegeneral

Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE1TbVBya0pBMGpoT0NCOE1nT2RBSlpvclAzZVd0WFRUQWo2M2k5TlAyc1FQT0dicDVCcl9hYUMwcWdyVUZtMlM2RW5tV2Zqd2g3SXpTSUFVZDlPNjByOGxTSWNlLXI?oc=5" target="_blank">Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Using pseudo-labeling to improve performance of deep neural networks for animal identification | Scientific Reports
Naturegeneral

Using pseudo-labeling to improve performance of deep neural networks for animal identification | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB2dWgtTFFsV2ZaOWVMNlRKMTlHQ21zOERyQnlWcnFkaEZhd2o5ZEJVb3BrM241VG0tMG5JMXlybFdiXzY0MnpEaWphdnFwNVFQaWpBbTJ6eGJYTWtEOGY0?oc=5" target="_blank">Using pseudo-labeling to improve performance of deep neural networks for animal identification | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition
Apple Machine Learning Researchgeneral

AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition

<a href="https://news.google.com/rss/articles/CBMib0FVX3lxTE1JRXlsVlZCTV9wbk9ZTzJtUGdfUW5oLUFfckNfQ2ZIcFV4dEI4M0lJRFVxTEJpSTZIeVRhNXhjbTdybmphanRSUVJzRnU0dDcxNVlUQ2x3aWFRelpQUkh0Z0FVdWdzMERYR2VxNG1TNA?oc=5" target="_blank">AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition</a>  <font color="#6f6f6f">Apple Machine Learning Research</font>

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Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
The Association for the Advancement of Artificial Intelligencegeneral

Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5pdUlQVS1CR3NnSnBDbm9xVHdwbXZSSlk2MWpkbVQ4TjR1OTdiUDEyc09RQU9SeUdXMnNRbUNTVEdkSHo3dE13dmZGbkdvdWtiYTJvWjBWQ0dDWGpHQzJsWmxMaWM?oc=5" target="_blank">Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss
Naturetech

Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAzRFFSdFlGdy1helVKOHRXU3o5NHZsVzgtN0liM2lGMjR5cE5aT2tpYlVsZXZHQ0F5anZHZVQwTVBNMS1jWXhqVFhRU0YwM1hOVmpOOEt3V1lZZTA0U3c4?oc=5" target="_blank">Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss</a>  <font color="#6f6f6f">Nature</font>

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Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Apple Machine Learning Researchtech

Semi-Supervised and Long-Tailed Object Detection with CascadeMatch

<a href="https://news.google.com/rss/articles/CBMiekFVX3lxTFBWZ1g2cHViX0NnRjN3NjRtcTRNb1h0QXp3dFN1QTNaLWNFZG0yd05jZlU5SzJFaDBRa0lNRHR5T2NNSGNhSlA5LXNURHVINTFJWnc1Q0k4RWs0MmgwWEJKRGNxWmVhSXlBVVQ2WjhHMHRlbGQ4VVprT0lR?oc=5" target="_blank">Semi-Supervised and Long-Tailed Object Detection with CascadeMatch</a>  <font color="#6f6f6f">Apple Machine Learning Research</font>

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RPSC: Robust Pseudo-Labeling for Semantic Clustering
The Association for the Advancement of Artificial Intelligencegeneral

RPSC: Robust Pseudo-Labeling for Semantic Clustering

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5qck92T1ZoMEVuOW1tTFFLcEFTRDc3TmtUcVRBelJqMGN1ZHNFYjNMS0R0QWcyMGpDUjBYamtGME1ZR1RGNmJsSVhieU9FaktJVzlJS2dOVnoybUhpMkhPSmJ5OU0?oc=5" target="_blank">RPSC: Robust Pseudo-Labeling for Semantic Clustering</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers
Apple Machine Learning Researchgeneral

Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers

<a href="https://news.google.com/rss/articles/CBMigAFBVV95cUxQMldaR2FBY1NyUUEzQm9QUVNGZ082U01vQUFXME5JakxPeUtVdnR3NTdfdHJUZTBJRUk4RGx2V2VzUlJnOWQyeWR0eFRLVkJyVEx0Z1JuVDVNRFRmbDN2RHpTTmlkdDBrcmF0STIzUW9yNFF1enk2V3hTRkZuZXFYQQ?oc=5" target="_blank">Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers</a>  <font color="#6f6f6f">Apple Machine Learning Research</font>

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A hybrid approach for enhancing pseudo-labeling in medical images through pseudo-label refinement
Naturegeneral

A hybrid approach for enhancing pseudo-labeling in medical images through pseudo-label refinement

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9nU0pyT0RNRHEyakQ5MWZhMmFoaUg0LUxiem1TQ3FZb3RhdU1pd2xuNUVBZXAtb3l6U2RkUFJKVkphM2s5VVRFLTNjcTNKWjNCNWpjRk5yMkhIT3lVVFYw?oc=5" target="_blank">A hybrid approach for enhancing pseudo-labeling in medical images through pseudo-label refinement</a>  <font color="#6f6f6f">Nature</font>

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Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label
The Association for the Advancement of Artificial Intelligencegeneral

Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5xS0xpQTBfTUtxdno2MXUtbHA4RDFRY0ZCNTZpV19QY3NadGdCRExBYlFOV28xRG5DaEV1cVNqZ0VKdGp6R1huQWc5cjg4dlZZYnZ3REtpYXFVM09ha1NSLS1KLWw?oc=5" target="_blank">Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding
The Association for the Advancement of Artificial Intelligenceworld

Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFB0cnlNV0lKMHN5b0xRVVJiUkpIcnVsb1pHN0h2bm1CbTdZeHlYZUVETHhOY21oREhrRml5cjNTX3FFanp5NjhvX2hJZUd1Uzlrd2lLUFdQWEZhZkVpbDNhZjAtYVE?oc=5" target="_blank">Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Global-local graph attention with cyclic pseudo-labels for bitcoin anti-money laundering detection
Natureworld

Global-local graph attention with cyclic pseudo-labels for bitcoin anti-money laundering detection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA4dHlYTy1BREJHSlBTZVhPZktDNUxiWUlqMTMwaEhpdXpiZF9JOW5NRUYya09YY09NakpSZXhNeTd3WkxaVmVSSDk4VlVVWTVJbV9EZWNZU1NWVF9NXzNV?oc=5" target="_blank">Global-local graph attention with cyclic pseudo-labels for bitcoin anti-money laundering detection</a>  <font color="#6f6f6f">Nature</font>

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Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning
The Association for the Advancement of Artificial Intelligencepolitics

Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5mWXNldHFTVHVtU3h3cVVJWU1mcjJqQm9lNE9CUEJCWF9PRFdlTU5RRUREendLdW1KYjVSNldfU0hxRXBMNnNBcU1DTjBldGZia2lDeE1oWTMzVzF0VEtTNkpWa2M?oc=5" target="_blank">Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Ambiguity-aware semi-supervised learning for leaf disease classification
Naturegeneral

Ambiguity-aware semi-supervised learning for leaf disease classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0wLU5MNXBnMmF5cWYxYUtUdFFHeGdrX3p4bEdMQ2U1WWkzQ3hZTk83MDdva3U4Qk5BQzZ2UFNOTkQ0MTJOLU1JN3RqX0VXa0w4emMwdXVpUDhoOXJBaUFz?oc=5" target="_blank">Ambiguity-aware semi-supervised learning for leaf disease classification</a>  <font color="#6f6f6f">Nature</font>

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DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision
The Association for the Advancement of Artificial Intelligencegeneral

DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5zLVNhSExtWWlmYm5iX1dWT09lcUN3cnh3SlNja2ZTZXZreWNORnliclRWWHFjMDdmdm1Xal9BTW40bEFpR2ZvTzVMaGpvcE15cjhaS3NDazUtenVlb3FCcGF1ZXM?oc=5" target="_blank">DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation
The Association for the Advancement of Artificial Intelligencegeneral

Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9RR19kZTV2VjRyd2twSGQ1TFZEU2dXNENMM0tSUHhXNk1QQnU4NlFYWm9zenhnbzY2RUFUZ2dISF9yeHU1bUd6R05hLVZreFJ1ZU5CYjFobGwzNDNYd3p6Rkpkc2k?oc=5" target="_blank">Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Learning from algorithm-generated pseudo-annotations for detecting ants in videos
Naturegeneral

Learning from algorithm-generated pseudo-annotations for detecting ants in videos

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE54S2VMTDFtc3RUZXoxclhNZE9PUkVuNEhTeGEyQ3lWTTdKVDVoVHF2dUROcmtaNDJDZF9uUzFjRVZHNVhNSWtGOFBpU3ZVVzVuWThZTWExMjNaT2ttQ3Nj?oc=5" target="_blank">Learning from algorithm-generated pseudo-annotations for detecting ants in videos</a>  <font color="#6f6f6f">Nature</font>

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Polyp segmentation with consistency training and continuous update of pseudo-label
Naturetech

Polyp segmentation with consistency training and continuous update of pseudo-label

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBEQmNuQ1RaNVBQSnpJc0UzYmNGLXpLb1lHcGxlMmtLbEp4ZzdJUG94MVVKc3AxTGZzZW41SUhfVF80WERyNGhUVllwYzRyVkRxb0pVRkJjSER0aDhnQ0Rr?oc=5" target="_blank">Polyp segmentation with consistency training and continuous update of pseudo-label</a>  <font color="#6f6f6f">Nature</font>

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Semi-supervised action recognition using logit aligned consistency and adaptive negative learning
Naturegeneral

Semi-supervised action recognition using logit aligned consistency and adaptive negative learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5SdkJ2azUzTDl3WjdCemtLeTlMcGp5cmp1VktfeEtHS0FRcWc3OXBSS0lDMmFMdFJyeGpLQ2ZnWEY1a3o3VHJSVmZmVDROYUFLcXpUbFNHcVNFNzQ5UWYw?oc=5" target="_blank">Semi-supervised action recognition using logit aligned consistency and adaptive negative learning</a>  <font color="#6f6f6f">Nature</font>

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Rethinking Pseudo Labels for Semi-supervised Object Detection
The Association for the Advancement of Artificial Intelligencegeneral

Rethinking Pseudo Labels for Semi-supervised Object Detection

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE41aXBCZzFIV3ZJckJvNDNqVEh6UUNhRWtCWHMtdmxtdUpkbDk3Rzl2RURiRE5OY01uLVVNYUp6eDdIZ3gyOEtvS0tkRFVOWjlYUDJQTDFNS21WREU5eFFHQkxlTTQ?oc=5" target="_blank">Rethinking Pseudo Labels for Semi-supervised Object Detection</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation
The Association for the Advancement of Artificial Intelligencegeneral

Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9yS0J4N2NxRTU1SEZwYjJiMzItQW4wLUdKaGQ3ekVuUm52ajRUaHF3anpjSGhUdUFwUVRjWnRwcDBwWk5ZeWlSd1l5ZEN1ZE1fdEhiUFdJUlVoYXlTalVBSTlBTV8?oc=5" target="_blank">Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Similarity-guided swarm of models: enhancing semi-supervised learning in computational pathology
Naturegeneral

Similarity-guided swarm of models: enhancing semi-supervised learning in computational pathology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBqRGF5MGpjaUxnYmFoSlhWbFFoVmJPSGoxd0U4Y2d5QkowYzhWbnBodzlfSEx5VXlaV3NvX1d4a1E1SFZPaWw0ZV9qaVhlVGplVEF2aUhKMG53UDJSbXRF?oc=5" target="_blank">Similarity-guided swarm of models: enhancing semi-supervised learning in computational pathology</a>  <font color="#6f6f6f">Nature</font>

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DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence
The Association for the Advancement of Artificial Intelligenceworld

DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFB3LUJJRmRlWXBDVVd5LTFaSC1fS3JPTWFVXzFkLVZrbXB2Nzk5Y2g5X0tZUXotV0NxLTVNOUFSd1pvaGk1ZVpSbFB4NzMwYzhiX19UWmR4ZmFDV05iSm1rLVozci0?oc=5" target="_blank">DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement
Natureworld

A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9XTjN1SEpDTUtqUHhkU1VWelpWNy1LRllKZ0FmcFBfV21TdjJfTVBzcS05b3NoUlhXVzhycng4eEZjUi1MaVp4V3NOaVEtT1R3NnVyYW9Ua1o1NmhDVmw4?oc=5" target="_blank">A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement</a>  <font color="#6f6f6f">Nature</font>

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PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
The Association for the Advancement of Artificial Intelligencegeneral

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9MY0FNVG5zWGh3aDJ1bzhGdldpTXdmSFh3M1Y0c3JuMVR3OWN5Sjl6Qzl3ZjhIN3I2bFR3MG9NQzVibmhDbnlva2JPRDZHTWR1ZlJfUTJvWHkwLW5zaF9wYVFCSXc?oc=5" target="_blank">PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Mind the Gap: Polishing Pseudo Labels for Accurate Semi-supervised Object Detection
The Association for the Advancement of Artificial Intelligencegeneral

Mind the Gap: Polishing Pseudo Labels for Accurate Semi-supervised Object Detection

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5nVnQyc2VzQU1hMFNlSHBRemxhc1Izd2hjUzB0cHFjVmUySTl5LXUtNThjcmtrLVloVmJ3eDhOVm9zRnNCWGdQYUVsYlhtTU9ZaVJLR3JhX0FkUnA3ZHhORFVkSkw?oc=5" target="_blank">Mind the Gap: Polishing Pseudo Labels for Accurate Semi-supervised Object Detection</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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