paper

Ingested works. lom_id is the stable key (doi: or arxiv:). OpenAlex/S2/arXiv ids when found; never fabricated.

Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository

2,863 rows

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: ingested_ts, source, ingested_ts (date)

lom_id ▼ doi openalex s2_paper_id arxiv pmid pmcid acl title year venue oa_url ingested_ts source
arxiv:0901.2698 10.48550/arxiv.0901.2698 W1524012148   0901.2698       On integral probability metrics, ϕ-divergences and binary classification 2009 arXiv (Cornell University) https://arxiv.org/pdf/0901.2698 2026-09-02T02:37:09Z openalex
arxiv:0907.1815 10.48550/arxiv.0907.1815 W2120354757   0907.1815       Frustratingly Easy Domain Adaptation 2009 arXiv (Cornell University) https://arxiv.org/pdf/0907.1815 2026-09-02T02:37:09Z openalex
arxiv:1003.0120 10.48550/arxiv.1003.0120 W2113065326   1003.0120       Learning from Logged Implicit Exploration Data 2010 arXiv (Cornell University) https://arxiv.org/pdf/1003.0120 2026-09-02T02:37:09Z openalex
arxiv:1011.0686 10.48550/arxiv.1011.0686 W2962957031   1011.0686       A Reduction of Imitation Learning and Structured Prediction to No-Regret\n Online Learning 2010 arXiv (Cornell University) https://arxiv.org/pdf/1011.0686 2026-09-02T02:37:09Z openalex
arxiv:1206.6389 10.48550/arxiv.1206.6389 W2112507308   1206.6389       Poisoning Attacks against Support Vector Machines 2012 arXiv (Cornell University) https://arxiv.org/pdf/1206.6389 2026-09-02T02:37:09Z openalex
arxiv:1301.3545 10.48550/arxiv.1301.3545 W1579917626   1301.3545       Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines 2013 arXiv (Cornell University) https://arxiv.org/pdf/1301.3545 2026-09-02T02:37:09Z openalex
arxiv:1301.3641 10.48550/arxiv.1301.3641 W1932057668   1301.3641       Training Neural Networks with Stochastic Hessian-Free Optimization 2013 arXiv (Cornell University) https://arxiv.org/pdf/1301.3641 2026-09-02T02:37:09Z openalex
arxiv:1310.4546 10.48550/arxiv.1310.4546 W2153579005   1310.4546       Distributed Representations of Words and Phrases and their Compositionality 2013 arXiv (Cornell University) https://arxiv.org/pdf/1310.4546 2026-09-02T02:37:09Z openalex
arxiv:1312.5602 10.48550/arxiv.1312.5602 W1757796397   1312.5602       Playing Atari with Deep Reinforcement Learning 2013 arXiv (Cornell University) https://arxiv.org/pdf/1312.5602 2026-09-02T02:37:09Z openalex
arxiv:1312.6034 10.48550/arxiv.1312.6034 W2962851944   1312.6034       Deep Inside Convolutional Networks: Visualising Image Classification\n Models and Saliency Maps 2013 arXiv (Cornell University) https://arxiv.org/pdf/1312.6034 2026-09-02T02:37:09Z openalex
arxiv:1312.6114 10.48550/arxiv.1312.6114 W1959608418   1312.6114       Auto-Encoding Variational Bayes 2013 UvA-DARE (University of Amsterdam) https://dare.uva.nl/personal/pure/en/publications/autoencoding-variational-bayes(cf65ba0f-d88f-4a49-8ebd-3a7fce86edd7).html 2026-09-02T02:37:09Z openalex
arxiv:1401.0514 10.48550/arxiv.1401.0514 W1551431154   1401.0514       Structured Generative Models of Natural Source Code 2014 arXiv (Cornell University) https://arxiv.org/pdf/1401.0514 2026-09-02T02:37:09Z openalex
arxiv:1401.4082 10.48550/arxiv.1401.4082 W2962897886   1401.4082       Stochastic Backpropagation and Approximate Inference in Deep Generative\n Models 2014 arXiv (Cornell University) https://arxiv.org/pdf/1401.4082 2026-09-02T02:37:09Z openalex
arxiv:1406.5298 10.48550/arxiv.1406.5298 W2108501770   1406.5298       Semi-Supervised Learning with Deep Generative Models 2014 arXiv (Cornell University) https://arxiv.org/pdf/1406.5298 2026-09-02T02:37:09Z openalex
arxiv:1409.3215 10.48550/arxiv.1409.3215 W2130942839   1409.3215       Sequence to Sequence Learning with Neural Networks 2014 arXiv (Cornell University) https://arxiv.org/pdf/1409.3215 2026-09-02T02:37:09Z openalex
arxiv:1410.4615 10.48550/arxiv.1410.4615 W1581407678   1410.4615       Learning to Execute 2014 arXiv (Cornell University) https://arxiv.org/pdf/1410.4615 2026-09-02T02:37:09Z openalex
arxiv:1410.8516 10.48550/arxiv.1410.8516 W1583912456   1410.8516       NICE: Non-linear Independent Components Estimation 2014 arXiv (Cornell University) https://arxiv.org/pdf/1410.8516 2026-09-02T02:37:09Z openalex
arxiv:1412.6071 10.48550/arxiv.1412.6071 W2133319764   1412.6071       Fractional Max-Pooling 2014 arXiv (Cornell University) https://arxiv.org/pdf/1412.6071 2026-09-02T02:37:09Z openalex
arxiv:1412.6806 10.48550/arxiv.1412.6806 W2123045220   1412.6806       Striving for Simplicity: The All Convolutional Net 2014 arXiv (Cornell University) https://arxiv.org/pdf/1412.6806 2026-09-02T02:37:09Z openalex
arxiv:1412.6830 10.48550/arxiv.1412.6830 W1683511521   1412.6830       Learning Activation Functions to Improve Deep Neural Networks 2014 arXiv (Cornell University) https://arxiv.org/pdf/1412.6830 2026-09-02T02:37:09Z openalex
arxiv:1412.6980 10.48550/arxiv.1412.6980 W1522301498   1412.6980       Adam: A Method for Stochastic Optimization 2014 UvA-DARE (University of Amsterdam) https://handle.uba.uva.nl/personal/pure/en/publications/adam-a-method-for-stochastic-optimization(a20791d3-1aff-464a-8544-268383c33a75).html 2026-09-02T02:37:09Z openalex
arxiv:1502.02072 10.48550/arxiv.1502.02072 W1738019091   1502.02072       Massively Multitask Networks for Drug Discovery 2015 arXiv (Cornell University) https://arxiv.org/pdf/1502.02072 2026-09-02T02:37:09Z openalex
arxiv:1502.02259       1502.02259       Contextual Markov Decision Processes 2015   https://arxiv.org/abs/1502.02259 2026-09-02T02:23:34Z paper
arxiv:1502.05477 10.48550/arxiv.1502.05477 W1771410628   1502.05477       Trust Region Policy Optimization 2015 arXiv (Cornell University) https://arxiv.org/pdf/1502.05477 2026-09-02T02:37:09Z openalex
arxiv:1503.01445 10.48550/arxiv.1503.01445 W2150854591   1503.01445       Toxicity Prediction using Deep Learning 2015 arXiv (Cornell University) https://arxiv.org/pdf/1503.01445 2026-09-02T02:37:09Z openalex
arxiv:1503.02531 10.48550/arxiv.1503.02531 W1821462560   1503.02531       Distilling the Knowledge in a Neural Network 2015 arXiv (Cornell University) https://arxiv.org/pdf/1503.02531 2026-09-02T02:37:09Z openalex
arxiv:1503.03585 10.48550/arxiv.1503.03585 W2129069237   1503.03585       Deep Unsupervised Learning using Nonequilibrium Thermodynamics 2015 arXiv (Cornell University) https://arxiv.org/pdf/1503.03585 2026-09-02T02:37:09Z openalex
arxiv:1504.00325 10.48550/arxiv.1504.00325 W1889081078   1504.00325       Microsoft COCO Captions: Data Collection and Evaluation Server 2015 arXiv (Cornell University) https://arxiv.org/pdf/1504.00325 2026-09-02T02:37:09Z openalex
arxiv:1505.00521 10.48550/arxiv.1505.00521 W2204302769   1505.00521       Reinforcement Learning Neural Turing Machines - Revised 2015 arXiv (Cornell University) https://arxiv.org/pdf/1505.00521 2026-09-02T02:37:09Z openalex
arxiv:1505.00853 10.48550/arxiv.1505.00853 W1921523184   1505.00853       Empirical Evaluation of Rectified Activations in Convolutional Network 2015 arXiv (Cornell University) https://arxiv.org/pdf/1505.00853 2026-09-02T02:37:09Z openalex
arxiv:1506.02142 10.48550/arxiv.1506.02142 W2964059111   1506.02142       Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning 2015 arXiv (Cornell University) https://arxiv.org/pdf/1506.02142 2026-09-02T02:37:09Z openalex
arxiv:1506.02438 10.48550/arxiv.1506.02438 W1191599655   1506.02438       High-Dimensional Continuous Control Using Generalized Advantage Estimation 2015 arXiv (Cornell University) https://arxiv.org/pdf/1506.02438 2026-09-02T02:37:09Z openalex
arxiv:1507.00210 10.48550/arxiv.1507.00210 W1915968771   1507.00210       Natural Neural Networks 2015 arXiv (Cornell University) https://arxiv.org/pdf/1507.00210 2026-09-02T02:37:09Z openalex
arxiv:1508.03411 10.48550/arxiv.1508.03411 W2249314671   1508.03411       Emphatic TD Bellman Operator is a Contraction 2015 arXiv (Cornell University) https://arxiv.org/pdf/1508.03411 2026-09-02T02:37:09Z openalex
arxiv:1509.02971 10.48550/arxiv.1509.02971 W2173248099   1509.02971       Continuous control with deep reinforcement learning 2015 arXiv (Cornell University) https://arxiv.org/pdf/1509.02971 2026-09-02T02:37:09Z openalex
arxiv:1509.05172 10.48550/arxiv.1509.05172 W2964298957   1509.05172       Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis 2015 arXiv (Cornell University) https://arxiv.org/pdf/1509.05172 2026-09-02T02:37:09Z openalex
arxiv:1511.01432 10.48550/arxiv.1511.01432 W2170973209   1511.01432       Semi-supervised Sequence Learning 2015 arXiv (Cornell University) https://arxiv.org/pdf/1511.01432 2026-09-02T02:37:09Z openalex
arxiv:1511.03722 10.48550/arxiv.1511.03722 W2234859443   1511.03722       Doubly Robust Off-policy Value Evaluation for Reinforcement Learning 2015 arXiv (Cornell University) https://arxiv.org/pdf/1511.03722 2026-09-02T02:37:09Z openalex
arxiv:1511.06295 10.48550/arxiv.1511.06295 W2584377191   1511.06295       Policy Distillation 2015 arXiv (Cornell University) https://arxiv.org/pdf/1511.06295 2026-09-02T02:37:09Z openalex
arxiv:1511.06342 10.48550/arxiv.1511.06342 W2174786457   1511.06342       Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning 2015 arXiv (Cornell University) https://arxiv.org/pdf/1511.06342 2026-09-02T02:37:09Z openalex
arxiv:1511.07289 10.48550/arxiv.1511.07289 W2176412452   1511.07289       Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) 2016 arXiv (Cornell University) https://arxiv.org/pdf/1511.07289 2026-09-02T02:34:27Z openalex
arxiv:1511.08228 10.48550/arxiv.1511.08228 W2173051530   1511.08228       Neural GPUs Learn Algorithms 2015 arXiv (Cornell University) https://arxiv.org/pdf/1511.08228 2026-09-02T02:37:09Z openalex
arxiv:1512.03385 10.48550/arxiv.1512.03385 W2949650786   1512.03385       Deep Residual Learning for Image Recognition 2015 arXiv (Cornell University) https://arxiv.org/pdf/1512.03385 2026-09-02T02:37:09Z openalex
arxiv:1601.06759 10.48550/arxiv.1601.06759 W2267126114   1601.06759       Pixel Recurrent Neural Networks 2016 arXiv (Cornell University) https://arxiv.org/pdf/1601.06759 2026-09-02T02:37:09Z openalex
arxiv:1603.01121 10.48550/arxiv.1603.01121 W2291986326   1603.01121       Deep Reinforcement Learning from Self-Play in Imperfect-Information Games 2016 arXiv (Cornell University) https://arxiv.org/pdf/1603.01121 2026-09-02T02:37:09Z openalex
arxiv:1603.06744 10.48550/arxiv.1603.06744 W2304240348   1603.06744       Latent Predictor Networks for Code Generation 2016 arXiv (Cornell University) https://arxiv.org/pdf/1603.06744 2026-09-02T02:37:09Z openalex
arxiv:1604.06174 10.48550/arxiv.1604.06174 W2338908902   1604.06174       Training Deep Nets with Sublinear Memory Cost 2016 arXiv (Cornell University) https://arxiv.org/pdf/1604.06174 2026-09-02T02:37:09Z openalex
arxiv:1604.07316 10.48550/arxiv.1604.07316 W2342840547   1604.07316       End to End Learning for Self-Driving Cars 2016 arXiv (Cornell University) https://arxiv.org/pdf/1604.07316 2026-09-02T02:37:09Z openalex
arxiv:1605.06431 10.48550/arxiv.1605.06431 W2541674938   1605.06431       Residual Networks Behave Like Ensembles of Relatively Shallow Networks 2016 arXiv (Cornell University) https://arxiv.org/pdf/1605.06431 2026-09-02T02:37:09Z openalex
arxiv:1605.07146 10.48550/arxiv.1605.07146 W2401231614   1605.07146       Wide Residual Networks 2016 arXiv (Cornell University) https://arxiv.org/pdf/1605.07146 2026-09-02T02:37:09Z openalex

Next page

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE paper (
  lom_id        TEXT PRIMARY KEY,
  doi           TEXT,
  openalex      TEXT,
  s2_paper_id   TEXT,
  arxiv         TEXT,
  pmid          TEXT,
  pmcid         TEXT,
  acl           TEXT,
  title         TEXT NOT NULL,
  year          INTEGER,
  venue         TEXT,
  oa_url        TEXT,
  ingested_ts   TEXT NOT NULL,
  source        TEXT NOT NULL
);
CREATE UNIQUE INDEX paper_doi ON paper(doi) WHERE doi IS NOT NULL;
CREATE UNIQUE INDEX paper_openalex ON paper(openalex) WHERE openalex IS NOT NULL;
CREATE UNIQUE INDEX paper_s2 ON paper(s2_paper_id) WHERE s2_paper_id IS NOT NULL;
CREATE UNIQUE INDEX paper_arxiv ON paper(arxiv) WHERE arxiv IS NOT NULL;