{"id":"openreview:ry_WPG-A-","title":"On the Information Bottleneck Theory of Deep Learning (Saxe et al.)","date":"2017-10-27","section":"Data, training, optimization","quality":-0.011319,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/c10860ec07fd50dd9cabe10b023919ca199ae9bb2897cadbb523bbea39394ecf/","source_url":"https://openreview.net/forum?id=ry_WPG-A-","text_available":true,"authors":[],"outgoing":[],"incoming":[],"text_parts":[{"start":0,"end":14848,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/c10860ec07fd50dd9cabe10b023919ca199ae9bb2897cadbb523bbea39394ecf/part-1.html"},{"start":14848,"end":29262,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/c10860ec07fd50dd9cabe10b023919ca199ae9bb2897cadbb523bbea39394ecf/part-2.html"},{"start":29262,"end":43699,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/c10860ec07fd50dd9cabe10b023919ca199ae9bb2897cadbb523bbea39394ecf/part-3.html"},{"start":43699,"end":57067,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/c10860ec07fd50dd9cabe10b023919ca199ae9bb2897cadbb523bbea39394ecf/part-4.html"},{"start":57067,"end":71867,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/c10860ec07fd50dd9cabe10b023919ca199ae9bb2897cadbb523bbea39394ecf/part-5.html"},{"start":71867,"end":76602,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/c10860ec07fd50dd9cabe10b023919ca199ae9bb2897cadbb523bbea39394ecf/part-6.html"}],"contents":[],"text_code_points":76602,"source_markdown":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/c10860ec07fd50dd9cabe10b023919ca199ae9bb2897cadbb523bbea39394ecf/source.md"}
