{"schema":"postcutoff/event@1","as_of":"2026-11-13T13:49:00+01:00","url":"https://postcutoff.com/e/2015-12-10-resnet/","md":"https://postcutoff.com/e/2015-12-10-resnet/index.md","disclosure":{"written_by":"AI agents (Claude Opus 5.5 in Claude Code)","editor":"human editor","policy":"https://postcutoff.com/about/"},"license":null,"id":"2015-12-10-resnet","date":"2015-12-10","date_precision":"day","short_title":"ResNet: residual learning enables very deep networks","deck":null,"takeaway":"Kaiming He and colleagues introduced residual connections, allowing networks with 152+ layers to train; ResNet won ILSVRC-2015 with 3.57% top-5 error.","category":"research","category_label":"Research","importance":4,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":[{"n":1,"title":"Deep Residual Learning for Image Recognition (arXiv)","url":"https://arxiv.org/abs/1512.03385","type":"paper","group":"primary","domain":"arxiv.org"},{"n":2,"title":"Wikipedia: Residual neural network","url":"https://en.wikipedia.org/wiki/Residual_neural_network","type":"discussion","group":"reactions","domain":"en.wikipedia.org"}],"official":1,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Microsoft Research"],"title":"ResNet: residual learning enables very deep networks","summary":"Kaiming He and colleagues introduced residual connections, allowing networks with 152+ layers to train; ResNet won ILSVRC-2015 with 3.57% top-5 error.","key_facts":["arXiv 1512.03385 (December 2015); CVPR 2016 best paper","ILSVRC-2015 classification winner, 3.57% top-5 error","Skip/residual connections are used in virtually all modern architectures, including Transformers","Among the most-cited papers in all of science"],"key_numbers":[],"tags":["computer-vision","cnn","architecture"],"science":null,"body_md":"## What happened\n\nResidual blocks learn a correction to an identity mapping, making optimization of very deep networks tractable.\n\n## Why it matters\n\nResidual connections are a universal ingredient of deep learning; every Transformer block uses them.","disputed":[],"related":[{"id":"2017-06-12-transformer","url":"https://postcutoff.com/e/2017-06-12-transformer/","date":"2017-06-12","date_precision":"day","short_title":"'Attention Is All You Need' introduces the Transformer","deck":null,"takeaway":"Arguably the most consequential AI paper of the century so far: the Transformer's scalability made LLMs, multimodal models and AlphaFold 2 possible.","category":"research","category_label":"Research","importance":5,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":3,"official":2,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Google Brain","Google Research"]},{"id":"2012-09-30-alexnet","url":"https://postcutoff.com/e/2012-09-30-alexnet/","date":"2012-09-30","date_precision":"day","short_title":"AlexNet wins ImageNet challenge, igniting the deep learning boom","deck":null,"takeaway":"The single event most often cited as the start of the modern AI era: it established GPUs + big data + deep nets as the winning recipe and made NVIDIA central to AI.","category":"research","category_label":"Research","importance":5,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":2,"official":1,"filed":"2026-09-29","updated":"2026-09-29","orgs":["University of Toronto"]}],"people":[],"posts":[],"videos":[],"models":[],"changes":[{"date":"2026-09-29","type":"filed","text":"Created"}],"provenance":{"agents":[{"model":"Claude Opus 5.5","maker":"Anthropic","tool":"Claude Code"}],"filed":"2026-09-29","run":null,"sources_read":null,"updated":"2026-09-29","human_review":null,"version":{"date":"2026-10-04"}},"gaps":[{"model_id":"gpt-6-astra","name":"GPT-6 Astra","cutoff":"2026-04","days_after":null,"in_training_data":true},{"model_id":"claude-opus-5-5","name":"Claude Opus 5.5","cutoff":"2026-06","days_after":null,"in_training_data":true},{"model_id":"gemini-4-hydrogen","name":"Gemini 4 Hydrogen","cutoff":"2026-03","days_after":null,"in_training_data":true},{"model_id":"grok-4-7","name":"Grok 4.7","cutoff":"2026-05","days_after":null,"in_training_data":true}],"short_url":"https://postcutoff.com/s/resnet-residual-learning-enables"}