How AI Could Take Over Elections—And Undermine Democracy https://
buff.ly/3WXt4uh
#ai #artificialintelligence #MachineLearning #DeepLearning #GenerativeAI #chatgpt
MACHINE LEARNING
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AI’s Impact on Elections and Democratic Integrity Risks
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Vision Transformers Progress: Meta and Landing AI Advances
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Similar to how text-based LLMs were made possible via large pre-trained text transformers, the progress on large pre-trained vision transformers has been swift. This includes Meta's fantastic work (XCiT, DINO, DINOv2, SAM), Landing AI's work on Visual Prompting, and the work of
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Realistic Saliency Guided Image Enhancement for Professional Photo Editing
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Realistic Saliency Guided Image Enhancement paper page: https://
huggingface.co/papers/2306.06
092
… Common editing operations performed by professional photographers include the cleanup operations: de-emphasizing distracting elements and enhancing subjects. These edits are challenging, requiring a -
GANeRF: Using Discriminators to Optimize Neural Radiance Fields
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GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields
— AK (@_akhaliq) 12 juin 2023
paper page: https://t.co/9uSfhTnZEP
Neural Radiance Fields (NeRF) have shown impressive novel view synthesis results; nonetheless, even thorough recordings yield imperfections in reconstructions, for instance… pic.twitter.com/vycX0uKCKzGANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields paper page: https://
huggingface.co/papers/2306.06
044
… Neural Radiance Fields (NeRF) have shown impressive novel view synthesis results; nonetheless, even thorough recordings yield imperfections in reconstructions, for instance -
Multi-Modal Classifiers for Open-Vocabulary Object Detection
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Multi-Modal Classifiers for Open-Vocabulary Object Detection paper page: https://
huggingface.co/papers/2306.05
493
… The goal of this paper is open-vocabulary object detection (OVOD) x2013 building a model that can detect objects beyond the set of categories seen at training, thus enabling the -
Mind2Web: Generalist Agent Dataset for Web Task Completion
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Mind2Web: Towards a Generalist Agent for the Web
— AK (@_akhaliq) 12 juin 2023
paper page: https://t.co/ZexYGuQBb6
introduce Mind2Web, the first dataset for developing and evaluating generalist agents for the web that can follow language instructions to complete complex tasks on any website. Existing… pic.twitter.com/FMsMNd3aaBMind2Web: Towards a Generalist Agent for the Web paper page: https://
huggingface.co/papers/2306.06
070
… introduce Mind2Web, the first dataset for developing and evaluating generalist agents for the web that can follow language instructions to complete complex tasks on any website. Existing -
Large Language Models and Causal Inference from Correlation
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Can Large Language Models Infer Causation from Correlation? paper page: https://
huggingface.co/papers/2306.05
836
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dataset: https://
huggingface.co/datasets/causa
lnlp/corr2cause
… Causal inference is one of the hallmarks of human intelligence. While the field of CausalNLP has attracted much interest in the recent years, -
Embodied Executable Policy Learning with Language-based Scene Summarization
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Embodied Executable Policy Learning with Language-based Scene Summarization paper page: https://
huggingface.co/papers/2306.05
696
… Large Language models (LLMs) have shown remarkable success in assisting robot learning tasks, i.e., complex household planning. However, the performance of pretrained -
The Future of Programming: CHI 2023 Research Insights
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The future of programming: Research at CHI 2023 https://
bit.ly/3Is1zTE #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Evaluating LLM-as-a-Judge: MT-Bench and Chatbot Arena
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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena paper page: https://
huggingface.co/papers/2306.05
685
… Evaluating large language model (LLM) based chat assistants is challenging due to their broad capabilities and the inadequacy of existing benchmarks in measuring human preferences. To