7 ms·
Ask HN: Papers you read in 2015?
Curious about scientific publications in your field that are worth sharing.
- ipunchghosts 11y ago"Development and Validation of a Biomarker for Diarrhea-Predominant Irritable Bowel Syndrome in Human Subjects" http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0126438 http://journals.plos.org/plosone/article?id=10.1371/journal.... Large cohort study done determining what the biological mechanism are of IBS (irritable bowel syndrome). Defines a new test, IBSChek which can be used to determine if a patient has a subtype of IBS. Anyone can get this test done now.
- yankoff 11y agoGenerating Sequences With Recurrent Neural Networks http://arxiv.org/abs/1308.0850 http://arxiv.org/abs/1308.0850 Generating Text with Recurrent Neural Networks http://www.cs.utoronto.ca/~ilya/pubs/2011/LANG-RNN.pdf http://www.cs.utoronto.ca/~ilya/pubs/2011/LANG-RNN.pdf Bitcoin whitepaper https://bitcoin.org/bitcoin.pdf https://bitcoin.org/bitcoin.pdf Ethereum paper http://gavwood.com/Paper.pdf http://gavwood.com/Paper.pdf
- marcodena 11y agoSpotify – Large Scale, Low Latency, P2P Music-on-Demand Streaming http://www3.cs.stonybrook.edu/~phillipa/CSE390/spotify-p2p10.pdf http://www3.cs.stonybrook.edu/~phillipa/CSE390/spotify-p2p10... and many others but this is the one I liked the most
- jvandonsel 11y agoThat Spotify paper was undated. When was it written?
- freyr 11y agoPresented August 2010 at the IEEE Conference on Peer-to-Peer Computing (P2P)
- travjones 11y ago"Unified-theory-of-reinforcement neural networks do not simulate the blocking effect" Sci-hub link: http://www.sciencedirect.com.sci-hub.io/science/article/pii/S0376635715300267 http://www.sciencedirect.com.sci-hub.io/science/article/pii/...
- racoonear 11y agoDeep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 http://arxiv.org/abs/1512.03385 Batch Normalization http://jmlr.org/proceedings/papers/v37/ioffe15.pdf http://jmlr.org/proceedings/papers/v37/ioffe15.pdf Deep Neural Decision Forests http://research.microsoft.com/pubs/255952/ICCV15_DeepNDF_main.pdf http://research.microsoft.com/pubs/255952/ICCV15_DeepNDF_mai... Spatial Transformer Networks https://papers.nips.cc/paper/5854-spatial-transformer-networks https://papers.nips.cc/paper/5854-spatial-transformer-networ...
- bra-ket 11y agomemory networks: http://www.thespermwhale.com/jaseweston/ram/ http://www.thespermwhale.com/jaseweston/ram/
- versteegen 11y agoThanks for linking this! But I easily overlooked your post. It links to "Reasoning, Attention, Memory (RAM) NIPS Workshop 2015"
- afancy 11y agoBenchmarking Smart Meter Data Analytics http://openproceedings.org/2015/conf/edbt/paper-55.pdf http://openproceedings.org/2015/conf/edbt/paper-55.pdf
- norswap 11y agoNot an academic paper, but I found the Roslyn (new C# compiler) whitepaper to be an interesting window into the future of programming languages: http://www.microsoft.com/en-us/download/details.aspx?id=27744 http://www.microsoft.com/en-us/download/details.aspx?id=2774... "Tackling the Awkward Squad: monadic input/output, concurrency, exceptions, and foreign-language calls in Haskell" (http://research.microsoft.com/en-us/um/people/simonpj/papers/marktoberdorf/mark.pdf http://research.microsoft.com/en-us/um/people/simonpj/papers...) finally made me understand monads. Or rather, why they have such an unreasonable draw on Haskell people. tl;dr: Monads are useful to thread data (state, side effects, ...) through a computation, without modifying all your function signatures (the functions can be lifted to work with the monad). But mostly, it turns out you NEED monads (or something like it) to sequence side-effects (since Haskell is lazy).
- anildigital 11y agoComparison of Erlang Runtime System and Java Virtual Machine http://ds.cs.ut.ee/courses/course-files/To303nis%20Pool%20.pdf http://ds.cs.ut.ee/courses/course-files/To303nis%20Pool%20.p...
- mtrn 11y ago* Program design in the UNIX environment (1984): http://harmful.cat-v.org/cat-v/unix_prog_design.pdf http://harmful.cat-v.org/cat-v/unix_prog_design.pdf Glipse into unix essentials. Do one thing well on an example so you'll never forget it again. Doing less requires more care and attention to detail. * From Frequency to Meaning (2010): https://www.jair.org/media/2934/live-2934-4846-jair.pdf https://www.jair.org/media/2934/live-2934-4846-jair.pdf A nice summary on vector space models along with three basic matrix layouts: term-document, word-context, pair-pattern and the resulting applications and algorithms. * A Roadmap towards Machine Intelligence (2015): http://arxiv.org/pdf/1511.08130v1.pdf http://arxiv.org/pdf/1511.08130v1.pdf Emphasis on communication. I liked the fact, that the AI is pictured as a research assistant, since I would love to see a more dialog oriented interaction with machines. * 50 years of Data Science (2015): https://dl.dropboxusercontent.com/u/23421017/50YearsDataScience.pdf https://dl.dropboxusercontent.com/u/23421017/50YearsDataScie... Great essay on how the past had a handle on todays data analysis landscape, just without the enormous computing power and data availability, that we have today.
- j_juggernaut 11y agoWow. Didn't realize how HOT deep learning was in 2015.
- DanBC 11y agoNational Confidential Inquiry into Suicide and Homicide by People with Mental Illness (UK): http://www.bbmh.manchester.ac.uk/cmhs/research/centreforsuicideprevention/nci/ http://www.bbmh.manchester.ac.uk/cmhs/research/centreforsuic... That paper tells us that pain medication is often used in completed suicide (paracetamol; paracetamol and opioids combined; and opioids; are three of the top five most commonly used meds) So I have an interest in pain medication from the angle of suicide prevention, which is why these two are interesting. Efficacy and safety of paracetamol for spinal pain and osteoarthritis: systematic review and meta-analysis of randomised placebo controlled trials: http://www.bmj.com/content/350/bmj.h1225 http://www.bmj.com/content/350/bmj.h1225 (Paracetamol probably doesn't help with long term musculo-skeletal pain, and increases risk of liver damage) http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(14)60805-9/abstract http://www.thelancet.com/journals/lancet/article/PIIS0140-67... (Paracetamol probably no better than placebo for long term back pain)
- MichaelGG 11y agoIt's a bit confusing. For instance around page 80: Table 5: Male suicide deaths and those aged 45-54 in the general population, by UK country vs Table 7: Patient suicide: male suicide deaths and those aged 45-54, by UK country. Table 5 shows the rate. Table 7 shows the actual numbers. Why? Even the first key finding speculates about patient suicide increase due to higher numbers of patients. Do they not have this seemingly important statistic? A quick search says "a quarter" of the population will have a mental illness during the year. If true, then we'd expect around 25% of suicides to be from patients, right? Why separate the APAP/opiod combination in light of suicide if the APAP wasn't a relevant cause? It seems like respiratory depression and liver poisoning aren't that synergistic are they? An opiate naive user with 10/325 oxy/apap would almost certainly hit opiate overdose before liver damage was a life-threatening issue. The study recommends "safe prescribing" but then shows the majority of opiate suicide isn't with a prescription, and prescription overdose is skews heavily to older females with a "major physical illness". And no comparison on how rx abuse compares with non-mentally-ill patients. Edit: And rx rates, too. I'm guessing older patients generally get way more opiates prescribed than younger ones. Interesting read though, thanks.
- chaoxu 11y agoHere is an accessible algorithms paper. It's a cute puzzle problem. It was inspired by answers on cs.stackexchange. Efficient Algorithms for Envy-Free Stick Division With Fewest Cuts http://arxiv.org/abs/1502.04048 http://arxiv.org/abs/1502.04048
- temuze 11y agoOne weird trick for parallelizing ConvNets: http://arxiv.org/abs/1404.5997 http://arxiv.org/abs/1404.5997 Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks: http://arxiv.org/abs/1511.06434 http://arxiv.org/abs/1511.06434 A Neural Network of Artistic Style: http://arxiv.org/abs/1508.06576 http://arxiv.org/abs/1508.06576
- mrdrozdov 11y agoA lot of NLP related papers. Here are a few of my favorites. - HMMs and Perceptrons for Part-of-Speech Tagging and Chunking - http://www.aclweb.org/anthology/W02-1001 http://www.aclweb.org/anthology/W02-1001 - MaxEnt for Part-of-Speech Tagging - http://www.aclweb.org/anthology/W96-0213 http://www.aclweb.org/anthology/W96-0213 - RNNs for Slot Filling - http://www.iro.umontreal.ca/~lisa/pointeurs/RNNSpokenLanguage2013.pdf http://www.iro.umontreal.ca/~lisa/pointeurs/RNNSpokenLanguag... Not related to NLP, but I really like the Facebook paper that covered delta of delta compression for time series data. - http://www.vldb.org/pvldb/vol8/p1816-teller.pdf http://www.vldb.org/pvldb/vol8/p1816-teller.pdf
- hedgehog 11y agoUsing state lattices for motion planning was new to me but seems like an elegant approach: http://people.csail.mit.edu/rak/www/sites/default/files/pubs/PivKneKel09.pdf http://people.csail.mit.edu/rak/www/sites/default/files/pubs...
- web007 11y agoDagCoin : a bitcoin-like cryptocurrency with a "decentralized" blockchain based on directed acyclic graphs - https://bitslog.files.wordpress.com/2015/09/dagcoin-v41.pdf https://bitslog.files.wordpress.com/2015/09/dagcoin-v41.pdf Visual Search at Pinterest - http://arxiv.org/pdf/1505.07647v1.pdf http://arxiv.org/pdf/1505.07647v1.pdf Fast Search in Hamming Space with Multi-Index Hashing - http://www.cs.toronto.edu/~norouzi/research/papers/multi_index_hashing.pdf http://www.cs.toronto.edu/~norouzi/research/papers/multi_ind...
- DyslexicAtheist 11y agothese "classics": http://blog.valbonne-consulting.com/2014/06/09/an-incomplete-list-of-classic-papers-every-software-architect-should-read/ http://blog.valbonne-consulting.com/2014/06/09/an-incomplete...
- nrmn 11y agoI've been trying to read a paper a day since midsummer. These are a few of the interesting, for me personally, since then: Generating Sequences With Recurrent Neural Networks - http://arxiv.org/abs/1308.0850 http://arxiv.org/abs/1308.0850 Older one, but important to understand deeply since other recent ideas have come from this! Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks - http://arxiv.org/abs/1511.06434 http://arxiv.org/abs/1511.06434 Unitary Evolution Recurrent Neural Networks - http://arxiv.org/abs/1511.06464 http://arxiv.org/abs/1511.06464 State of the Art Control of Atari Games Using Shallow Reinforcement Learning - http://arxiv.org/abs/1512.01563 http://arxiv.org/abs/1512.01563 Interesting discussion in section 6.1 on the shortcomings/issues of DQN done by Deepmind Spectral Representations for Convolutional Neural Networks - http://arxiv.org/abs/1506.03767 http://arxiv.org/abs/1506.03767 Deep Residual Learning for Image Recognition - http://arxiv.org/abs/1512.03385 http://arxiv.org/abs/1512.03385 Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) - http://arxiv.org/abs/1511.07289 http://arxiv.org/abs/1511.07289 I wish they did more comparisons between similar network architecture with only the units swapped out. Eg. Alexnet, Relu vs Alexnet, Elu. On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models - http://arxiv.org/abs/1511.09249 http://arxiv.org/abs/1511.09249 Just a few from my list :)
- sgt101 11y agoCrumbs, it takes me about two weeks to get through a paper properly!
- wodenokoto 11y agoI can't speak for parent, but I believe people who read a paper a day, don't try to understand it deeply enough to be able to start implementing whatever the paper talks about. Rather it is read to get an idea of the approach and what kind of results it will give and what kind of problems it can solve.
- smhx 11y agoFor people actively working full-time in the field, some of the papers which have simple but powerful ideas, reading the paper for 2 hours (or glancing at the key diagram / formula) is enough to implement it. For example: Deep Residual Learning for Image Recognition Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
- georgerobinson 11y agoIn search of an understandable consensus algorithm (https://www.usenix.org/conference/atc14/technical-sessions/presentation/ongaro https://www.usenix.org/conference/atc14/technical-sessions/p...) SWIM: Scalable Weakly-consistent Infection-style Process Group Membership Protocol (http://www.cs.cornell.edu/~asdas/research/dsn02-swim.pdf http://www.cs.cornell.edu/~asdas/research/dsn02-swim.pdf)
- genbit 11y agoWhat is a good resource for someone who want to read good papers from time to time?
- mtrn 11y agoHow about: http://paperswelove.org/ http://paperswelove.org/
- hieronymusN 11y agoA decent resource: http://paperswelove.org/ http://paperswelove.org/
- chrisseaton 11y agoFollow some academics in the field you are interested in on Twitter.
- genbit 11y agowould you suggest from whom to start?
- chrisseaton 11y agoWell what field are you interested in? I only know people in programming languages and systems really.
- tedyoung 11y agoSurprised nobody mentioned The Morning Paper yet: http://blog.acolyer.org/ http://blog.acolyer.org/
- PeCaN 11y agoGeneralized LL Parsing - http://dotat.at/tmp/gll.pdf http://dotat.at/tmp/gll.pdf Parse ambiguous context-free grammars in worst-case cubic time and unambiguous grammars in linear time, with an intuitive recursive-descent-ish algorithm. GLL is the future of parsing IMO, more powerful than packrat/PEG parsers and comparatively easy to write by hand. It also handles ambiguities more elegantly than GLR, IMO. Dependency-Based Word Embeddings - https://levyomer.files.wordpress.com/2014/04/dependency-based-word-embeddings-acl-2014.pdf https://levyomer.files.wordpress.com/2014/04/dependency-base... word2vec algorithm with context based on linguistic dependencies instead of a skip-gram approach. A quick explanation is skip-grams give words related to the embedding (ex: Hogwarts -> Dumbledore) and dependencies give words that can be used like the embedding (ex: Hogwards -> Sunnydale). It's not meant to replace skip-grams, but augment them; skip-gram contexts learn the domain and dependency-based contexts learn the semantic type.
- drostie 11y agoThanks for the first of these, I've put it on my "eventually if I ever get serious about writing this programming language" list.
- PeCaN 11y agoHeh, that's where it is on mine too. :) One of the things I find particularly nice about GLL is that it's much more friendly to parser combinators[1] than GLR. (LR-family parsers, and bottom-up parsing in general, is notoriously difficult to implement in a way such that parsers can be combined, and the result framework would be rather awkward to use.) 1: Indeed, it's already been done: https://github.com/bawerd/gll.js https://github.com/bawerd/gll.js https://github.com/epsil/gll https://github.com/epsil/gll https://github.com/djspiewak/gll-combinators https://github.com/djspiewak/gll-combinators
- NotOscarWilde 11y agoElaine Levey, Thomas Rothvoss - A Lasserre-based (1+ε)-approximation for Pm∣pj=1,prec∣Cmax http://arxiv.org/abs/1509.07808 http://arxiv.org/abs/1509.07808 People are very excited about graph isomorphism being solvable in quasipolynomial time, but there are a few more problems from the seminal Garey, Johnson book that are still unknown to be in either P or NP-c or neither. One of them is computing the optimal schedule for three machines processing some tasks (jobs), when the tasks have all the same size, but there are dependencies among some of them and you have to do them in order. This paper proves that there is a (1+ε)-approximation of this problem in "slightly more than quasipolynomial time" (I love this phrasing). The technique they use is a Lasserre hierarchy which is a very exciting tool in theoretical computer science, although there still exist only a couple results where this hierarchy approach brings more to the table than other methods for designing efficient algorithms. This is one more to the list!
- mrswag 11y agoI've read two rather old papers on different cross-validation techniques: A Study of CrossValidation and Bootstrap for Accuracy Estimation and Model Selection (1995) http://robotics.stanford.edu/~ronnyk/accEst.pdf http://robotics.stanford.edu/~ronnyk/accEst.pdf Improvements on Cross-Validation: The .632+ Bootstrap Method (1997) http://www.stat.washington.edu/courses/stat527/s13/readings/EfronTibshirani_JASA_1997.pdf http://www.stat.washington.edu/courses/stat527/s13/readings/... And one on MIMO techniques: V-BLAST: An Architecture for Realizing Very High Data Rates Over the Rich-Scattering Wireless Channel (1998) http://www.ee.columbia.edu/~jiantan/E6909/wolnianskyandfoschini.pdf http://www.ee.columbia.edu/~jiantan/E6909/wolnianskyandfosch... I find it to be a good way to get concise and accessible introductions (with the associated results) to current practices.
- roninb 11y agoIt didn't get published this year but I though Robust De-Anonymization of Large Datasets - http://arxiv.org/pdf/cs/0610105.pdf http://arxiv.org/pdf/cs/0610105.pdf
- binarymax 11y agoA couple years behind the times but I got really into word2vec and plenty of associated works. On a mobile so not easy to post links, but if you haven't checked out w2v I highly recommend it.
- serzh 11y agoThis year I read a some cool papers: Big Ball of Mud Brian Foote and Joseph Yoder About the reasons why good software become ugly and complex. http://www.laputan.org/mud/ http://www.laputan.org/mud/ ---------- The Inevitable Pain of Software Development Daniel M. Berry About changes of requirements for the software. https://cs.uwaterloo.ca/~dberry/FTP_SITE/reprints.journals.conferences/tcre.painpaper.pdf https://cs.uwaterloo.ca/~dberry/FTP_SITE/reprints.journals.c... ---------- No Silver Bullet Frederick P. Brooks, Jr. The software developing is in essense very complex. http://www.cs.nott.ac.uk/~pszcah/G51ISS/Documents/NoSilverBullet.html http://www.cs.nott.ac.uk/~pszcah/G51ISS/Documents/NoSilverBu... ---------- Notes On Structured Programming Edsger W. Dijkstra Why we don't have to use goto. https://www.cs.utexas.edu/users/EWD/ewd02xx/EWD249.PDF https://www.cs.utexas.edu/users/EWD/ewd02xx/EWD249.PDF ---------- Watermarking, tamper-proofing, and obfuscation - tools for software protection Collberg, C.S. ; Dept. of Comput. Sci., Arizona Univ., Tucson, AZ, USA ; Thomborson, C. http://dx.doi.org/10.1109/TSE.2002.1027797 http://dx.doi.org/10.1109/TSE.2002.1027797
- throwawaykf05 11y agoNot a specific list of papers, but I find Sigcomm to generally have very good papers in the field of networking and communications. Here's the link for this year's conference: http://conferences.sigcomm.org/sigcomm/2015/program.php http://conferences.sigcomm.org/sigcomm/2015/program.php