Pinboard (chl) https://pinboard.in/u:chl/public/ recent bookmarks from chl [untitled] 2026-05-28T09:55:41+00:00 https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf chlpaper history gpt transformers gpt-1 openai by:alec-radford https://pinboard.in/ https://pinboard.in/u:chl/b:1bff9e093fd8/ [untitled] 2025-12-05T23:29:19+00:00 https://www.fiddlersgreen.net/ chlmodels paper diy https://pinboard.in/ https://pinboard.in/u:chl/b:3036b4f3d417/ [2507.14560] the origin of self-attention: from pairwise affinity matrices to transformers 2025-07-26T16:21:30+00:00 https://arxiv.org/abs/2507.14560 chlself-attention similarity history paper inquire llms gen-ai https://pinboard.in/ https://pinboard.in/u:chl/b:094cdf4ce0d4/ paper – design, share, ship 2025-03-26T12:46:43+00:00 https://paper.design/ chlinquire paper design web-app https://pinboard.in/ https://pinboard.in/u:chl/b:a8213bd238a4/ osf preprints | self-improvising memories: a perspective on memories as agential, dynamically-reinterpreting cognitive glue 2024-04-02T07:34:08+00:00 https://osf.io/preprints/osf/4b2wj chlmemory paper by:michael-levin https://pinboard.in/ https://pinboard.in/u:chl/b:606cfc04cd08/ notes on paper (2023) | hacker news 2024-02-27T15:54:28+00:00 https://news.ycombinator.com/item?id=39504304 chlnote-taking paper discussion https://pinboard.in/ https://pinboard.in/u:chl/b:903cbc105bb9/ [2402.06196] large language models: a survey 2024-02-16T13:17:57+00:00 https://arxiv.org/abs/2402.06196 chlllms survey paper https://pinboard.in/ https://pinboard.in/u:chl/b:c750b7788177/ [2401.10020v1] self-rewarding language models 2024-01-23T15:16:55+00:00 https://arxiv.org/abs/2401.10020v1 chllanguage-models paper https://pinboard.in/ https://pinboard.in/u:chl/b:f544a5b8bc08/ [2311.01906] simplifying transformer blocks 2023-11-27T15:29:33+00:00 https://arxiv.org/abs/2311.01906 chltransformers paper nn https://pinboard.in/ https://pinboard.in/u:chl/b:f5b7747c907e/ paper page - reinforcement learning in the era of llms: what is essential? what is needed? an rl perspective on rlhf, prompting, and beyond 2023-10-12T13:50:31+00:00 https://huggingface.co/papers/2310.06147 chlrl rlhf paper https://pinboard.in/ https://pinboard.in/u:chl/b:17f72ae485fc/ michael is back in san francisco, soon in santa fe on twitter: "this is marvellous: https://t.co/mrcmftxmts" / twitter 2022-06-29T14:35:17+00:00 https://twitter.com/michael_nielsen/status/1541857525221298176 chlpaper thread by:michael-nielsen https://pinboard.in/ https://pinboard.in/u:chl/b:f5871300864e/ cultural influences on word meanings revealed through large-scale semantic alignment 2020-08-26T14:06:46+00:00 http://sapir.psych.wisc.edu/papers/thompson_roberts_lupyan_2020.pdf chlpaper words word-meanings semantic-alignment by:bill-thompson by:seán-g.-roberts by:gary-lupyan https://pinboard.in/ https://pinboard.in/u:chl/b:f31e4a59b297/ low plasma 25(oh) vitamin d3 level is associated with increased risk of covid-19 infection: an israeli population-based study | medrxiv 2020-07-03T13:37:28+00:00 https://www.medrxiv.org/content/10.1101/2020.07.01.20144329v1 chlsars-cov-2 covid-19 vitamin-d israel paper https://pinboard.in/ https://pinboard.in/u:chl/b:94e947679d3f/ assessing nitrogen dioxide (no2) levels as a contributing factor to coronavirus (covid-19) fatality - sciencedirect 2020-04-21T12:25:58+00:00 https://www.sciencedirect.com/science/article/pii/S0048969720321215?via%3Dihub chlno2 sars-cov-2 covid-19 paper later https://pinboard.in/ https://pinboard.in/u:chl/b:b5cf1ed68527/ [1904.13310] survey of dropout methods for deep neural networks 2019-05-01T23:56:16+00:00 https://arxiv.org/abs/1904.13310 chlnn dropout paper https://pinboard.in/ https://pinboard.in/u:chl/b:03214285f8c8/ [1904.01569] exploring randomly wired neural networks for image recognition 2019-04-04T14:44:55+00:00 https://arxiv.org/abs/1904.01569 chlrandom-nns nn paper via:? https://pinboard.in/ https://pinboard.in/u:chl/b:1bbf2813d70e/ structure of a bacterial atp synthase | biorxiv 2018-12-05T15:55:43+00:00 https://www.biorxiv.org/content/early/2018/11/06/463968 chlatp-synthase paper mol-bio https://pinboard.in/ https://pinboard.in/u:chl/b:b350fa1b0569/ paper pulp printer – beer holthuis 2018-11-27T18:12:25+00:00 http://www.beerholthuis.com/portfolio/paper-pulp-printer/ chl3d-printing paper amazing https://pinboard.in/ https://pinboard.in/u:chl/b:36ef19d8e928/ [1810.05192] the human cell atlas white paper 2018-10-17T13:16:37+00:00 https://arxiv.org/abs/1810.05192 chlhuman-cell-atlas mol-bio paper https://pinboard.in/ https://pinboard.in/u:chl/b:bfacaee167a9/ the journal of open source software: umap: uniform manifold approximation and projection 2018-09-04T09:31:40+00:00 http://joss.theoj.org/papers/10.21105/joss.00861 chlumap viz paper https://pinboard.in/ https://pinboard.in/u:chl/b:e2ae9e7e5b96/ comparing the effects of sun exposure and vitamin d supplementation on vitamin d insufficiency, and immune and cardio-metabolic function: the sun exposure and vitamin d supplementation (seds) study 2018-05-24T13:58:57+00:00 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391331/ chlvitamin-d sunlight paper seds https://pinboard.in/ https://pinboard.in/u:chl/b:d2e5da02a830/ serum 25-hydroxyvitamin d values and risk of all-cause and cause-specific mortality: a population-based cohort study - mayo clinic proceedings 2018-05-10T11:41:11+00:00 https://www.mayoclinicproceedings.org/article/S0025-6196(18)30183-6/fulltext chlvitamin-d 25(oh)d paper https://pinboard.in/ https://pinboard.in/u:chl/b:8ecf80fd1d1c/ navigating with grid-like representations in artificial agents | deepmind 2018-05-10T11:27:04+00:00 https://deepmind.com/blog/grid-cells/ chlml paper later https://pinboard.in/ https://pinboard.in/u:chl/b:fa08dc20d061/ role of gene polymorphisms in vitamin d metabolism and in multiple sclerosis : archives of industrial hygiene and toxicology 2018-05-08T17:43:43+00:00 https://www.degruyter.com/view/j/aiht.2018.69.issue-1/aiht-2018-69-3065/aiht-2018-69-3065.xml chlvitamin-d multiple-sclerosis paper https://pinboard.in/ https://pinboard.in/u:chl/b:0b81642a091b/ quality practise pronunciation with audacity - the best method 2018-04-09T14:32:08+00:00 https://www.researchgate.net/publication/285234145_Quality_Practise_Pronunciation_With_Audacity_-_The_Best_Method chllanguage-learning paper by:olle-kjellin https://pinboard.in/ https://pinboard.in/u:chl/b:1b4066599948/ accent addition: prosody and perception facilitate second language learning 2018-04-09T14:24:48+00:00 http://olle-kjellin.com/SpeechDoctor/ProcLP98.html chllanguage-learning paper by:olle-kjellin enkindled https://pinboard.in/ https://pinboard.in/u:chl/b:85d67c7fb15d/ [1803.03453] the surprising creativity of digital evolution: a collection of anecdotes from the evolutionary computation and artificial life research communities 2018-03-14T21:25:03+00:00 https://arxiv.org/abs/1803.03453 chlevolution paper ea https://pinboard.in/ https://pinboard.in/u:chl/b:7a408dfb82ec/ [1802.08864] one big net for everything 2018-02-27T18:30:07+00:00 https://arxiv.org/abs/1802.08864 chlpaper by:jürgen-schmidhuber https://pinboard.in/ https://pinboard.in/u:chl/b:92b18d10463e/ [1802.08435] efficient neural audio synthesis 2018-02-26T14:16:09+00:00 https://arxiv.org/abs/1802.08435 chlnn tts rnn paper https://pinboard.in/ https://pinboard.in/u:chl/b:3e08bc10de64/ [1703.00607] dynamic word embeddings for evolving semantic discovery 2018-02-26T14:14:25+00:00 https://arxiv.org/abs/1703.00607 chlvsm paper word-embeddings https://pinboard.in/ https://pinboard.in/u:chl/b:2938e7da3fcf/ [1802.06893] learning word vectors for 157 languages 2018-02-23T15:29:02+00:00 https://arxiv.org/abs/1802.06893 chlfasttext paper vsm word-embeddings nlp https://pinboard.in/ https://pinboard.in/u:chl/b:bc9e04595aa3/ [1802.03451] estimating the spectral density of large implicit matrices 2018-02-23T15:01:01+00:00 https://arxiv.org/abs/1802.03451 chlpaper later https://pinboard.in/ https://pinboard.in/u:chl/b:23974b5dea25/ [1802.05365] deep contextualized word representations 2018-02-17T11:43:17+00:00 https://arxiv.org/abs/1802.05365 chlvsm word-embeddings paper later https://pinboard.in/ https://pinboard.in/u:chl/b:3b289c5381e0/ a trainable spaced repetition model for language learning - semantic scholar 2018-02-02T11:16:53+00:00 https://www.semanticscholar.org/paper/A-Trainable-Spaced-Repetition-Model-for-Language-L-Settles-Meeder/cb836d2b8e126dc31ded5e674d73021604dcc6e0 chlspaced-repetition duolingo paper later https://pinboard.in/ https://pinboard.in/u:chl/b:07651aab1ba4/ [1710.10881] fast linear model for knowledge graph embeddings 2017-12-19T11:01:55+00:00 https://arxiv.org/abs/1710.10881 chlconcept-embeddings vsm fasttext paper https://pinboard.in/ https://pinboard.in/u:chl/b:56e0bfae20d5/ [1711.09784] distilling a neural network into a soft decision tree 2017-11-29T10:05:38+00:00 https://arxiv.org/abs/1711.09784 chl nn nn-distillation decision-trees paper later by:nicholas-frosst by:geoffrey-hinton https://pinboard.in/ https://pinboard.in/u:chl/b:e61b37bfc243/ [1710.09412v1] mixup: beyond empirical risk minimization 2017-10-31T10:46:03+00:00 https://arxiv.org/abs/1710.09412v1 chlnn mixup ml generalization paper https://pinboard.in/ https://pinboard.in/u:chl/b:08265178d538/ [1608.08225] why does deep and cheap learning work so well? 2017-10-12T12:18:21+00:00 https://arxiv.org/abs/1608.08225 chldeep-learning cheap-learning ml nn paper via:vaguery https://pinboard.in/ https://pinboard.in/u:chl/b:7bbc01f631d5/ [1702.08835] deep forest: towards an alternative to deep neural networks 2017-09-27T13:38:23+00:00 https://arxiv.org/abs/1702.08835 chldeep-forest ml via:vaguery paper decision-trees ensemble-methods gcforest https://pinboard.in/ https://pinboard.in/u:chl/b:794604d345cc/ [1709.06560] deep reinforcement learning that matters 2017-09-22T08:37:57+00:00 https://arxiv.org/abs/1709.06560 chl reinforcement-learning ml sci experiments reproducibility paper https://pinboard.in/ https://pinboard.in/u:chl/b:184b6872ebe2/ [1703.07370] rebar: low-variance, unbiased gradient estimates for discrete latent variable models 2017-09-22T08:35:17+00:00 https://arxiv.org/abs/1703.07370 chlml paper gradients https://pinboard.in/ https://pinboard.in/u:chl/b:7bfca653df30/ [1709.03856] starspace: embed all the things! 2017-09-15T14:16:13+00:00 https://arxiv.org/abs/1709.03856 chlvsm embeddings starspace paper concept-embeddings https://pinboard.in/ https://pinboard.in/u:chl/b:5db4594a5ce9/ [1709.02755] training rnns as fast as cnns 2017-09-11T15:33:56+00:00 https://arxiv.org/abs/1709.02755 chlrnn nn paper ml https://pinboard.in/ https://pinboard.in/u:chl/b:6e750921ca1e/ [1612.03651] fasttext.zip: compressing text classification models 2017-09-07T09:57:58+00:00 https://arxiv.org/abs/1612.03651 chlfasttext paper compression quantization vsm https://pinboard.in/ https://pinboard.in/u:chl/b:993375749d52/ pixelnn 2017-08-16T14:07:30+00:00 http://www.cs.cmu.edu/~aayushb/pixelNN/ chl knn img-proc nn paper image-synthesis https://pinboard.in/ https://pinboard.in/u:chl/b:b1dfa3b16a29/ [1706.00439] tensor contraction layers for parsimonious deep nets 2017-06-06T13:15:08+00:00 https://arxiv.org/abs/1706.00439 chlnn model-compression paper https://pinboard.in/ https://pinboard.in/u:chl/b:0829cfbd2f67/ [1706.01427] a simple neural network module for relational reasoning 2017-06-06T13:03:12+00:00 https://arxiv.org/abs/1706.01427 chlnn relational-reasoning backprop paper https://pinboard.in/ https://pinboard.in/u:chl/b:978b8296d078/ [1704.06933] adversarial neural machine translation 2017-04-25T17:47:17+00:00 https://arxiv.org/abs/1704.06933 chlnn gan nmt paper https://pinboard.in/ https://pinboard.in/u:chl/b:11882c7cf2c1/ [1704.03809] a neural parametric singing synthesizer 2017-04-13T17:39:18+00:00 https://arxiv.org/abs/1704.03809 chlmusic singing deep-learning wavenet ml nn paper https://pinboard.in/ https://pinboard.in/u:chl/b:7c8dc55b4e42/ [1609.04747] an overview of gradient descent optimization algorithms 2017-04-11T10:27:25+00:00 https://arxiv.org/abs/1609.04747 chl sgd overview paper by:sebastian-ruder https://pinboard.in/ https://pinboard.in/u:chl/b:d505dbe71b8a/ [1602.04938] "why should i trust you?": explaining the predictions of any classifier 2017-03-27T22:25:51+00:00 https://arxiv.org/abs/1602.04938 chlmodel-explanations paper ml https://pinboard.in/ https://pinboard.in/u:chl/b:14f920b6636c/ [1703.07511] deep photo style transfer 2017-03-27T10:27:05+00:00 https://arxiv.org/abs/1703.07511 chlstyle-transfer paper ml https://pinboard.in/ https://pinboard.in/u:chl/b:e978888bfa14/ [1612.09161] learning visual n-grams from web data 2017-03-17T00:50:22+00:00 https://arxiv.org/abs/1612.09161 chlvisual-n-grams paper later https://pinboard.in/ https://pinboard.in/u:chl/b:3d7965d91be7/ [1703.03906] massive exploration of neural machine translation architectures 2017-03-15T00:16:35+00:00 https://arxiv.org/abs/1703.03906 chlneural-mt paper https://pinboard.in/ https://pinboard.in/u:chl/b:5ea0339ea8c8/ [1703.03864] evolution strategies as a scalable alternative to reinforcement learning 2017-03-15T00:14:16+00:00 https://arxiv.org/abs/1703.03864 chlevolution paper https://pinboard.in/ https://pinboard.in/u:chl/b:0b18945dc21b/ [1612.00796] overcoming catastrophic forgetting in neural networks 2017-03-14T21:25:42+00:00 https://arxiv.org/abs/1612.00796 chl deepmind nn paper https://pinboard.in/ https://pinboard.in/u:chl/b:c3bc1e63d210/ [1703.01041] large-scale evolution of image classifiers 2017-03-07T11:39:26+00:00 https://arxiv.org/abs/1703.01041 chl evolution nn paper https://pinboard.in/ https://pinboard.in/u:chl/b:81709422b36f/ [1702.07799] exact methods for recursive circle packing 2017-03-07T11:28:33+00:00 https://arxiv.org/abs/1702.07799 chlcircle-packing opt paper via:vaguery https://pinboard.in/ https://pinboard.in/u:chl/b:c6bac898272a/ [1703.01678] data-dependent stability of stochastic gradient descent 2017-03-07T11:27:56+00:00 https://arxiv.org/abs/1703.01678 chl sgd ml paper https://pinboard.in/ https://pinboard.in/u:chl/b:3cb06e289db0/ [1702.08734] billion-scale similarity search with gpus 2017-03-01T23:30:27+00:00 https://arxiv.org/abs/1702.08734 chlsimilarity-search k-nn gpgpu paper https://pinboard.in/ https://pinboard.in/u:chl/b:5c3b87d940bb/ [1702.07800] on the origin of deep learning 2017-03-01T22:04:11+00:00 https://arxiv.org/abs/1702.07800 chl deep-learning history-of-science ml paper via:arsyed https://pinboard.in/ https://pinboard.in/u:chl/b:48f2bbf2f4f0/ [1611.04076] least squares generative adversarial networks 2017-02-28T21:04:15+00:00 https://arxiv.org/abs/1611.04076 chlnn gan paper https://pinboard.in/ https://pinboard.in/u:chl/b:58d9c0cc7a57/ [1702.08431] boundary-seeking generative adversarial networks 2017-02-28T21:04:09+00:00 https://arxiv.org/abs/1702.08431 chlnn gan paper https://pinboard.in/ https://pinboard.in/u:chl/b:c41c92549fc1/ [1701.07274] deep reinforcement learning: an overview 2017-02-28T21:03:38+00:00 https://arxiv.org/abs/1701.07274 chldeep-reinforcement-learning deep-learning reinforcement-learning ml paper https://pinboard.in/ https://pinboard.in/u:chl/b:e0d36405a86a/ [1702.01715] software engineering at google 2017-02-23T19:54:04+00:00 https://arxiv.org/abs/1702.01715 chl sw-eng google paper via:earl https://pinboard.in/ https://pinboard.in/u:chl/b:74bb6d273022/ [1604.01792] advances in very deep convolutional neural networks for lvcsr 2017-02-23T19:46:22+00:00 https://arxiv.org/abs/1604.01792 chlpaper conv-net nn ml asr via:arsyed https://pinboard.in/ https://pinboard.in/u:chl/b:7daec0137a4b/ hidden voice commands 2017-01-13T00:08:28+00:00 http://www.hiddenvoicecommands.com/home chl vui voice info-sec paper nam-shub https://pinboard.in/ https://pinboard.in/u:chl/b:38f5bfab2e74/ [1607.07539] semantic image inpainting with perceptual and contextual losses 2016-08-03T23:01:50+00:00 http://arxiv.org/abs/1607.07539 chldcgan nn gan deep-learning inpainting paper https://pinboard.in/ https://pinboard.in/u:chl/b:4fc25fb2c55f/ [1606.05262] convolutional residual memory networks 2016-06-18T00:17:39+00:00 https://arxiv.org/abs/1606.05262 chlnn conv-net memory lstm paper https://pinboard.in/ https://pinboard.in/u:chl/b:841c4b8f1be5/ [1606.04838] optimization methods for large-scale machine learning 2016-06-18T00:09:07+00:00 https://arxiv.org/abs/1606.04838 chlopt paper later https://pinboard.in/ https://pinboard.in/u:chl/b:c7b537f8a2b8/