messages listlengths 2 2 | meta dict |
|---|---|
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nDeep learning training accesses vast amounts of data at high velocity, posing challenges for datasets retrieved over ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "S1e0ZlHYDB",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Seeing is Not Necessarily Believing: Limitations of BigGANs for Data Augmentation\n\nPaper content:\nRecent advances in Generative Advers... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "rJMw747l_4",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Learning with Social Influence through Interior Policy Differentiation\n\nPaper content:\nAnimals develop novel skills not only through ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "SJeQi1HKDH",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: A Scalable Laplace Approximation for Neural Networks\n\nPaper content:\nWe leverage recent insights from second-order optimisation for ne... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "Skdvd2xAZ",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Overcoming the vanishing gradient problem in plain recurrent networks\n\nPaper content:\nPlain recurrent networks greatly suffer from the... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "Hyp3i2xRb",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: The Natural Tendency of Feed Forward Neural Networks to Favor Invariant Units\n\nPaper content:\nA central goal in the study of the prima... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "r1lwNXKU8r",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: TarMAC: Targeted Multi-Agent Communication\n\nPaper content:\nWe explore the collaborative multi-agent setting where a team of deep reinf... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "H1e572A5tQ",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nTemporal difference (TD) learning is a popular algorithm for policy evaluation in reinforcement learning, but the van... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "S1ly10EKDS",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Neuron as an Agent\n\nPaper content:\nExisting multi-agent reinforcement learning (MARL) communication methods have relied on a trusted t... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "BkfEzz-0-",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Towards Reverse-Engineering Black-Box Neural Networks\n\nPaper content:\nMany deployed learned models are black boxes: given input, retur... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "BydjJte0-",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: NADS: Neural Architecture Distribution Search for Uncertainty Awareness\n\nPaper content:\nMachine learning systems often encounter Out-o... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "rJeXDANKwr",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Evaluation and Comparison of Usability of Four Mobile Breathing Training Visualizations\n\nPaper content:\nBreathing exercises are an acc... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "Trnjb5ANow",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Simplicity bias in the parameter-function map of deep neural networks\n\nPaper content:\nThe idea that neural networks may exhibit a bias... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "r1l9jy39p4",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nSemantic parsing which maps a natural language sentence into a formal machine-readable representation of its meaning,... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "r1fO8oC9Y7",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Learning a Meta-Solver for Syntax-Guided Program Synthesis\n\nPaper content:\nWe study a general formulation of program synthesis called ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "Syl8Sn0cK7",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: The Limitations of Adversarial Training and the Blind-Spot Attack\n\nPaper content:\nThe adversarial training procedure proposed by Madry... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "HylTBhA5tQ",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Improving Limited Angle CT Reconstruction with a Robust GAN Prior\n\nPaper content:\nLimited angle CT reconstruction is an under-determin... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "B1gznX3q8S",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nA key problem in neuroscience, and life sciences more generally, is that data is generated by a hierarchy of dynamica... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "Ske066VFwS",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nClick Through Rate (CTR) prediction is a critical task in industrial applications, especially for online social and c... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "SJlyta4YPS",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration\n\nPaper content:\nIn this paper, we pro... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "SJfZKiC5FX",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Unaligned Image-to-Sequence Transformation with Loop Consistency\n\nPaper content:\nWe tackle the problem of modeling sequential visual p... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "H1ebc0VYvH",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nOne of the fundamental problems in supervised classification and in machine learning in general, is the modelling of ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "Syx377Y8IH",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Scaling Hierarchical Coreference with Homomorphic Compression\n\nPaper content:\nLocality sensitive hashing schemes such as \\simhash pro... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "H1gwRx5T6Q",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nFor understanding generic documents, information like font sizes, column layout, and generally the positioning of wor... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "H1gsGaq9US",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nRecently various neural networks have been proposed for irregularly structured data such as graphs and manifolds.\nTo... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "SJg9z6VFDr",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nThe adversarial training procedure proposed by Madry et al. (2018) is one of the most effective methods to defend aga... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "HylTBhA5tQ",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nImplicit probabilistic models are models defined naturally in terms of a sampling procedure and often induces a likel... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "rygunsAqYQ",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: INSTANCE CROSS ENTROPY FOR DEEP METRIC LEARNING\n\nPaper content:\nLoss functions play a crucial role in deep metric learning thus a vari... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "BJeguTEKDB",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nDeep neural networks use deeper and broader structures to achieve better performance and consequently, use increasing... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "BJxg7eHYvB",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging\n\nPaper content:\nWe develop a stochastic whole-br... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "SJewmXF88r",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Gaussian Process Meta-Representations For Hierarchical Neural Network Weight Priors\n\nPaper content:\nBayesian inference offers a theore... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "Bylhq134Fr",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Visual Representation Learning with 3D View-Contrastive Inverse Graphics Networks\n\nPaper content:\nPredictive coding theories suggest t... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "BJxt60VtPr",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Image Classification Through Top-Down Image Pyramid Traversal\n\nPaper content:\nThe available resolution in our visual world is extremel... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "rkeH6AEYvr",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Learning Non-Parametric Invariances from Data with Permanent Random Connectomes \n\nPaper content:\nOne of the fundamental problems in su... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "Syx377Y8IH",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Generalized Tensor Models for Recurrent Neural Networks\n\nPaper content:\nRecurrent Neural Networks (RNNs) are very successful at solvin... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "r1gNni0qtm",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Learning scalable and transferable multi-robot/machine sequential assignment planning via graph embedding\n\nPaper content:\nCan the succ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "rJxRJeStvB",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Variational Selective Autoencoder\n\nPaper content:\nDespite promising progress on unimodal data imputation (e.g. image inpainting), mode... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "Byx-FknVtS",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Residual EBMs: Does Real vs. Fake Text Discrimination Generalize?\n\nPaper content:\nEnergy-based models (EBMs), a.k.a.\nun-normalized mo... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "SkgpGgrYPH",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nThe complex world around us is inherently multimodal and sequential (continuous).\nInformation is scattered across di... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "BJxD11HFDS",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: “Style” Transfer for Musical Audio Using Multiple Time-Frequency Representations\n\nPaper content:\nNeural Style Transfer has become a po... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "BybQ7zWCb",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Construction-Planning Models in Minecraft\n\nPaper content:\nMinecraft is a videogame that offers many interesting challenges for AI syst... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "BkgyvHSWFV",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nThe prohibitive energy cost of running high-performance Convolutional Neural Networks (CNNs) has been limiting their ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "Syxp2bgKoX",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Unrolled, model-based networks for lensless imaging\n\nPaper content:\nWe develop end-to-end learned reconstructions for lensless mask-ba... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "HJgAjm3qLB",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: GLAD: Learning Sparse Graph Recovery\n\nPaper content:\nRecovering sparse conditional independence graphs from data is a fundamental prob... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "BkxpMTEtPB",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nThe information bottleneck method provides an information-theoretic method for representation learning, by training a... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "B1xwcyHFDr",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nCortical neurons process and integrate information on multiple timescales.\nIn addition, these timescales or temporal... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "B1em4mFL8H",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Learning to Make Generalizable and Diverse Predictions for Retrosynthesis\n\nPaper content:\nWe propose a new model for making generaliza... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "BygfrANKvB",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nIntuitively, image classification should profit from using spatial information.\nRecent work, however, suggests that ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "H1l7AkrFPS",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Improving Sample-based Evaluation for Generative Adversarial Networks\n\nPaper content:\nIn this paper, we propose an improved quantitati... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "HJlY0jA5F7",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Modelling Working Memory using Deep Recurrent Reinforcement Learning\n\nPaper content:\nIn cognitive systems, the role of a working memor... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "Syl0NmtLIr",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Unsupervised Few-shot Object Recognition by Integrating Adversarial, Self-supervision, and Deep Metric Learning of Latent Parts\n\nPaper ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "SyxhapVYvH",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Aging Memories Generate More Fluent Dialogue Responses with Memory Networks\n\nPaper content:\nThe integration of a Knowledge Base (KB) ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "SJl7tREFvr",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Learning Backpropagation-Free Deep Architectures with Kernels\n\nPaper content:\nOne can substitute each neuron in any neural network wit... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "H1GLm2R9Km",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Exploring Sentence Vectors Through Automatic Summarization\n\nPaper content:\nVector semantics, especially sentence vectors, have recentl... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "S1347ot3b",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nSpectral clustering is a leading and popular technique in unsupervised data analysis.\nTwo of its major limitations a... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "HJ_aoCyRZ",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: The Implicit Bias of Depth: How Incremental Learning Drives Generalization\n\nPaper content:\nA leading hypothesis for the surprising gen... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "H1lj0nNFwB",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Neural Subgraph Isomorphism Counting\n\nPaper content:\nIn this paper, we study a new graph learning problem: learning to count subgraph ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "HJx-akSKPS",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Advanced Neuroevolution: A gradient-free algorithm to train Deep Neural Networks\n\nPaper content:\nIn this paper we present a novel opti... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "r1g5Gh05KQ",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nIn this paper, we study a new graph learning problem: learning to count subgraph isomorphisms.\nAlthough the learning... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "HJx-akSKPS",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Adjustable Real-time Style Transfer\n\nPaper content:\nArtistic style transfer is the problem of synthesizing an image with content simil... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "HJg4E8IFdE",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Layerwise Learning Rates for Object Features in Unsupervised and Supervised Neural Networks And Consequent Predictions for the Infant Vis... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "BkxoglrtvH",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Neuron ranking - an informed way to compress convolutional neural networks\n\nPaper content:\nConvolutional neural networks (CNNs) in rec... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "B1eWu0NtDS",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nWe propose a novel framework to generate clean video frames from a single motion-blurred image.\nWhile a broad range ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "HJe4ipEKDB",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Weakly-supervised Knowledge Graph Alignment with Adversarial Learning\n\nPaper content:\nAligning knowledge graphs from different sources... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "S14h9sCqYm",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Atomic Compression Networks\n\nPaper content:\nCompressed forms of deep neural networks are essential in deploying large-scale\ncomputati... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "S1xO4xHFvB",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Neural Sketch Learning for Conditional Program Generation\n\nPaper content:\nWe study the problem of generating source code in a strongly... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "HkfXMz-Ab",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: “Style” Transfer for Musical Audio Using Multiple Time-Frequency Representations\n\nPaper content:\nNeural Style Transfer has become a po... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "BybQ7zWCb",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nFor fast and energy-efficient deployment of trained deep neural networks on resource-constrained embedded hardware, ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "rytNfI1AZ",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: A closer look at the word analogy problem\n\nPaper content:\nAlthough word analogy problems have become a standard tool for evaluating wo... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "ryA-jdlA-",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Multi-Agent Interactions Modeling with Correlated Policies\n\nPaper content:\nIn multi-agent systems, complex interacting behaviors arise... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "B1gZV1HYvS",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nThis work presents a scalable solution to continuous visual speech recognition.\nTo achieve this, we constructed the ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "HJxpDiC5tX",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: INTERPRETATION OF NEURAL NETWORK IS FRAGILE\n\nPaper content:\nIn order for machine learning to be deployed and trusted in many applicati... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "H1xJjlbAZ",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: SHINRA: Structuring Wikipedia by Collaborative Contribution\n\nPaper content:\nWe are reporting the SHINRA project, a project for structu... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "HygfXWqTpm",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Multitask learning of Multilingual Sentence Representations\n\nPaper content:\nWe present a novel multi-task training approach to learnin... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "A",
"paper_id": "SJsb_xTSM",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: \n\nPaper content:\nState-of-the-art deep neural networks (DNNs) typically have tens of millions of parameters, which might not fit into ... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "FullText",
"paper_id": "r1exVhActQ",
"target_index": 0,
"num_targets": 1,
"ic": false
} |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a concise one-sentence TLDR summary of the scientific paper content below.\n\nTitle: Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution\n\nPaper content:\nArchitecture search aims at automaticall... | {
"dataset": "scitldr",
"split": "train",
"source_variant": "AIC",
"paper_id": "ByME42AqK7",
"target_index": 0,
"num_targets": 1,
"ic": true
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.