input stringlengths 286 19k | output stringlengths 1 15.8k | metadata dict | _instance_id stringlengths 15 62 |
|---|---|---|---|
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Existing multi-agent reinforcement learning (MARL) communication methods have... | Neuron as an Agent (NaaA) enable us to train multi-agent communication without a trusted third party. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:980 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Increasing model size when pretraining natural language representations often... | A new pretraining method that establishes new state-of-the-art results on the GLUE, RACE, and SQuAD benchmarks while having fewer parameters compared to BERT-large. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:981 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Structured tabular data is the most commonly used form of data in industry ac... | Deep learning on structured tabular data using two-dimensional word embedding with fine-tuned ImageNet pre-trained CNN model. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:982 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Predictive coding, within theoretical neuroscience, and variational autoencod... | connections between predictive coding and VAEs + new frontiers | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:983 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Adaptive optimization methods such as AdaGrad, RMSprop and Adam have been pro... | Novel variants of optimization methods that combine the benefits of both adaptive and non-adaptive methods. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:984 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
An important problem that arises in reinforcement learning and Monte Carlo me... | In this paper, we proposed a novel algorithm, GenDICE, for general stationary distribution correction estimation, which can handle both discounted and average off-policy evaluation on multiple behavior-agnostic samples. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:985 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
The power of neural networks lies in their ability to generalize to unseen da... | An intuitive empirical and visual exploration of the generalization properties of deep neural networks. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:986 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
We argue that symmetry is an important consideration in addressing the proble... | We use convolution to make neural networks behave more like symbolic systems. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:987 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Key equatorial climate phenomena such as QBO and ENSO have never been adequat... | Analytical Formulation of Equatorial Standing Wave Phenomena: Application to QBO and ENSO | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:988 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
In the field of Continual Learning, the objective is to learn several tasks o... | We propose to train an Invertible Neural Network for each class to perform class-by-class Continual Learning. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:989 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Reinforcement learning (RL) with value-based methods (e.g., Q-learning) has s... | A general framework of value-based reinforcement learning for continuous control | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:99 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Human-computer conversation systems have attracted much attention in Natural ... | A novel ensemble of retrieval-based and generation-based for open-domain conversation systems. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:990 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Deep neural networks trained on a wide range of datasets demonstrate impressi... | Understand transferability from the perspectives of improved generalization, optimization and the feasibility of transferability. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:991 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
We address the following question: How redundant is the parameterisation of R... | We prove that there exist ReLU networks whose parameters are almost uniquely determined by the function they implement. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:992 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
A general problem that received considerable recent attention is how to perfo... | We propose a top-down modulation network for multi-task learning applications with several advantages over current schemes. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:993 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Clustering algorithms have wide applications and play an important role in da... | Novel time series data clustring algorithm based on dynamical system features. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:994 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Two important topics in deep learning both involve incorporating humans into ... | A method for encouraging axiomatic feature attributions of a deep model to match human intuition. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:995 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Recurrent neural networks (RNNs) have shown excellent performance in processi... | We propose high-performance LSTMs with binary/ternary weights, that can greatly reduce implementation complexity | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:996 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
This paper addresses unsupervised few-shot object recognition, where all trai... | We address the problem of unsupervised few-shot object recognition, where all training images are unlabeled and do not share classes with test images. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:997 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
Existing black-box attacks on deep neural networks (DNNs) so far have largely... | Query-based black-box attacks on deep neural networks with adversarial success rates matching white-box attacks | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:998 |
Below are the abstract, introduction, and conclusion of a computer science research paper. Please summarize the main contribution of the work in a single sentence. Your response should include the summary and no additional text.
Paper text:
We propose a novel subgraph image representation for classification of networ... | We convert subgraphs into structured images and classify them using 1. deep learning and 2. transfer learning (Caffe) and achieve stunning results. | {
"domains": [
"artificial_intelligence"
],
"input_context": "multiple_paragraphs",
"output_context": "sentence",
"source_type": "single_source",
"task_family": "summarization"
} | scitldr_aic:train:999 |
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