STUDY: Socially Aware Temporally Casual Decoder Recommender Systems paper page: https://
huggingface.co/papers/2306.07
946
… With the overwhelming amount of data available both on and offline today, recommender systems have become much needed to help users find items tailored to their interests.
MACHINE LEARNING
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Socially Aware Temporally Casual Decoder Recommender Systems Study
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Image Captioners as Scalable Vision Learning Models
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Image Captioners Are Scalable Vision Learners Too paper page: https://
huggingface.co/papers/2306.07
915
… Contrastive pretraining on image-text pairs from the web is one of the most popular large-scale pretraining strategies for vision backbones, especially in the context of large multimodal -
Instant Multi-View Head Capture through Learnable Registration
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Instant Multi-View Head Capture through Learnable Registration
— AK (@_akhaliq) 14 juin 2023
paper page: https://t.co/cgIfWuUvki
Existing methods for capturing datasets of 3D heads in dense semantic correspondence are slow, and commonly address the problem in two separate steps; multi-view stereo (MVS)… pic.twitter.com/8h3YoWOHIwInstant Multi-View Head Capture through Learnable Registration paper page: https://
huggingface.co/papers/2306.07
437
… Existing methods for capturing datasets of 3D heads in dense semantic correspondence are slow, and commonly address the problem in two separate steps; multi-view stereo (MVS) -
Free NLP and Large Language Models Course with Recommended Writings
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I have a free intro course on Natural Language Processing and Large Language Models here that might be useful: https://
lightning.ai/pages/courses/
deep-learning-fundamentals/unit-8.0-natural-language-processing-and-large-language-models/
… I also have a bunch of writings here (Including a list of papers I recommend): https://
magazine.sebastianraschka.com -
3D Molecule Generation Through Denoising Voxel Grids
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3D molecule generation by denoising voxel grids paper page: https://
huggingface.co/papers/2306.07
473
… propose a new score-based approach to generate 3D molecules represented as atomic densities on regular grids. First, we train a denoising neural network that learns to map from a smooth -
Speech-to-Text Adapter for Enhanced LLM Speech Understanding
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Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding paper page: https://
huggingface.co/papers/2306.07
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… Large Language Models (LLMs) have been applied in the speech domain, often incurring a performance drop due to misaligned between speech and -
GPT-Calls: Synthetic Conversation Generation for Call Segmentation
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GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models paper page: https://
huggingface.co/papers/2306.07
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… Transcriptions of phone calls are of significant value across diverse fields, such as sales, customer service, healthcare, and -
SayTap: Language to Quadrupedal Locomotion Control
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SayTap: Language to Quadrupedal Locomotion
— AK (@_akhaliq) 14 juin 2023
paper page: https://t.co/Dk14Ds1D94
Large language models (LLMs) have demonstrated the potential to perform high-level planning. Yet, it remains a challenge for LLMs to comprehend low-level commands, such as joint angle targets or… pic.twitter.com/BteEUxEmalSayTap: Language to Quadrupedal Locomotion paper page: https://
huggingface.co/papers/2306.07
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… Large language models (LLMs) have demonstrated the potential to perform high-level planning. Yet, it remains a challenge for LLMs to comprehend low-level commands, such as joint angle targets or -
Behind-the-scenes training details of Flan-T5 model revealed
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Insightful thread by @hwchung27 that shares some behind the scenes of training flan-t5. These details are often overlooked and sometimes mentioned in footnotes in papers (or not mentioned at all, i.e., "not paper worthy"). Sometimes they are stack dependent, model dependent or
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TART: Plug-and-Play Transformer Module for Task-Agnostic Reasoning
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TART: A plug-and-play Transformer module for task-agnostic reasoning paper page: https://
huggingface.co/papers/2306.07
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… Large language models (LLMs) exhibit in-context learning abilities which enable the same model to perform several tasks without any task-specific training. In contrast,