Deep Learning
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang
Neural Information Processing Systems http://nips.cc/
Compact Generalized Non-local Network
Kaiyu Yue, Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding, Fuxin Xu
Neural Information Processing Systems http://nips.cc/
SGD on Neural Networks Learns Functions of Increasing Complexity
Dimitris Kalimeris, Gal Kaplun, Preetum Nakkiran, Benjamin Edelman, Tristan Yang, Boaz Barak, Haofeng Zhang
Neural networks have been extremely successful in modern machine learning, achieving the state-of-the-art inawiderangeofdomains, including image-recognition, speech-recognition, andgame-playing [ 14, 18, 23, 37]. Practitioners often train deep neural networks with hundreds of layers and millions of parameters and manage to find networks with good out-of-sample performance.However, this practical prowess isaccompanied by feeble theoreticalunderstanding.
Claude looks even better as free users get more features to play with
PCWorld reports that Anthropic has significantly upgraded Claude's free tier with new Skills feature for automating recurring tasks and Connectors for integrating external services like Canva and Slack. Free users can now create and edit Word, Excel, PowerPoint, and PDF files directly within Claude, plus enjoy longer conversations and enhanced voice/image search capabilities. These improvements position Claude as a stronger competitor against ChatGPT, especially as OpenAI recently introduced ads to its platform. AI company Anthropic is now upgrading the free version of its Claude chatbot with several features that were previously exclusive to paying users, reports Engadget . Free users can now create and edit files like Word documents, Excel spreadsheets, PowerPoint presentations, and PDFs directly within Claude.
