ICML

The International Conference on Machine Learning, a yearly summer meeting whose program spans learning theory, optimization, probabilistic methods, reinforcement learningreinforcement learning, n.: A way of teaching a computer program by trial and error: it tries actions, earns points for good results and penalties for bad ones, and gradually learns which choices pay off over time., deep learningdeep learning, n.: Machine learning done with neural networks built from many stacked layers: raw data such as pixels, sound or text goes in at one end, and each layer turns what it receives into something more abstract. and applications. Papers are reviewed on OpenReviewOpenReview, prop. n.: A website where conference papers are submitted and peer reviewed; for some conferences, anyone can read the reviews and the authors' replies. and published in the Proceedings of Machine Learning Research, and the conference is ranked with the younger NeurIPSNeurIPS, prop. n.: The largest yearly scientific conference on artificial intelligence and machine learning, held each December, where many of the field's landmark papers were first presented. and ICLRICLR, prop. n.: A major deep-learning conference, held every spring since 2013, where the reviews of each submitted paper are posted online for anyone to read. at the top of general machine learningmachine learning, n.: A way of building software that learns from examples instead of following rules written by a programmer. Shown thousands of labeled photos, for instance, a program can learn to recognize cats. venues. Influential ICML papers include batch normalizationbatch normalization, n.: A layer that rescales the numbers flowing through a network so that, across each batch of training examples, they keep a steady average and spread. It makes deep networks train faster and more reliably. and trust region policy optimization (both 2015) and CLIPCLIP, prop. n.: An OpenAI model that learned to match pictures with their captions from hundreds of millions of web examples, so it can judge how well any piece of text describes any image. (2021). ICML 2023 adopted one of the first conference policies restricting text generated by language modelslarge language model, n.: A computer program trained on enormous amounts of text to predict the words that come next. At vast scale, that simple skill lets it chat, answer questions, translate, summarize and write code. in submitted papers, and it presents an annual Test of Time award.

The paper was rejected from NeurIPS, revised and accepted at ICML.