Curation by Talkstation 9 months, 4 weeks ago for query paperswithcode
Original results
-
https://paperswithcode.com/ — found via Mwmbl
The latest in Machine Learning | Papers With Code
Recent trends in language modeling have focused on increasing performance through scaling, and have resulted in an environment where training language mod…
-
https://paperswithcode.com/rc2020 — found via Mwmbl
ML Reproducibility Challenge Spring 2021 Edition | Papers With C…
ML Reproducibility Challenge 2020 Welcome to the ML Reproducibility Challenge 2020! This is the fifth edition of this event, and a successor of the ML Re…
-
https://paperswithcode.com/method/relu — found via Mwmbl
ReLU Explained | Papers With Code
Rectified Linear Units , or ReLUs , are a type of activation function that are linear in the positive dimension, but zero in the negative dimension. The k…
-
https://paperswithcode.com/method/elmo — found via Mwmbl
ELMo Explained | Papers With Code
Embeddings from Language Models , or ELMo , is a type of deep contextualized word representation that models both (1) complex characteristics of word use …
-
https://paperswithcode.com/method/gpt-2 — found via Mwmbl
GPT-2 Explained | Papers With Code
GPT-2 GPT-2 is a Transformer architecture that was notable for its size (1.5 billion parameters) on its release. The model is pretrained on a WebText dat…
-
https://paperswithcode.com/dataset/webli — found via Mwmbl
WebLI Dataset | Papers With Code
Remove a Data Loader Edit Dataset Modalities Edit Dataset Languages Edit Dataset Variants The benchmarks section lists all benchmarks using a given datas…
-
https://paperswithcode.com/method/max-pooling — found via Mwmbl
Max Pooling Explained | Papers With Code
Max Pooling is a pooling operation that calculates the maximum value for patches of a feature map, and uses it to create a downsampled (pooled) feature ma…
-
https://paperswithcode.com/method/efficientnet — found via Mwmbl
EfficientNet Explained | Papers With Code
EfficientNet is a convolutional neural network architecture and scaling method that uniformly scales all dimensions of depth/width/resolution using a comp…
-
https://paperswithcode.com/task/metric-learning — found via Mwmbl
Metric Learning | Papers With Code
The goal of Metric Learning is to learn a representation function that maps objects into an embedded space. The distance in the embedded space should pres…
-
https://paperswithcode.com/task/intent-detection — found via Mwmbl
Intent Detection | Papers With Code
Intent Detection is a vital component of any task-oriented conversational system. In order to understand the user’s current goal, the system must leverage…
-
https://paperswithcode.com/method/tanh-activation — found via Mwmbl
Tanh Activation Explained | Papers With Code
Historically, the tanh function became preferred over the sigmoid function as it gave better performance for multi-layer neural networks. But it did not s…
-
https://paperswithcode.com/method/average-pooling — found via Mwmbl
Average Pooling Explained | Papers With Code
Average Pooling is a pooling operation that calculates the average value for patches of a feature map, and uses it to create a downsampled (pooled) featur…
-
https://paperswithcode.com/task/few-shot-learning — found via Mwmbl
Few-Shot Learning | Papers With Code
Few-Shot Learning is an example of meta-learning, where a learner is trained on several related tasks, during the meta-training phase, so that it can gene…
-
https://paperswithcode.com/task/language-modelling — found via Mwmbl
Language Modelling | Papers With Code
Language modeling is the task of predicting the next word or character in a document. This technique can be used to train language models that can further…
-
https://paperswithcode.com/task/relation-extraction — found via Mwmbl
Relation Extraction | Papers With Code
Relation Extraction is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in…
-
https://paperswithcode.com/method/depthwise-convolution — found via Mwmbl
Depthwise Convolution Explained | Papers With Code
Depthwise Convolution is a type of convolution where we apply a single convolutional filter for each input channel. In the regular 2D convolution performe…
-
https://paperswithcode.com/task/language-identification — found via Mwmbl
Language Identification | Papers With Code
We present a treebank of Hindi-English code-switching tweets under Universal Dependencies scheme and propose a neural stacking model for parsing that effi…
-
https://paperswithcode.com/paper/unsupervised-data-augmentation — found via Mwmbl
Unsupervised Data Augmentation for Consistency Training | Papers…
Unsupervised Data Augmentation for Consistency Training Semi-supervised learning lately has shown much promise in improving deep learning models when lab…
-
https://paperswithcode.com/task/multi-task-language-understanding — found via Mwmbl
Multi-task Language Understanding | Papers With Code
By comprehensively evaluating the breadth and depth of a model's academic and professional understanding, our test can be used to analyze models across ma…
-
https://paperswithcode.com/paper/fleurs-few-shot-learning-evaluation-of — found via Mwmbl
FLEURS: Few-shot Learning Evaluation of Universal Representation…
We introduce FLEURS, the Few-shot Learning Evaluation of Universal Representations of Speech benchmark. FLEURS is an n-way parallel speech dataset in 102…
-
https://paperswithcode.com/paper/more-than-you-ve-asked-for-a-comprehensive — found via Mwmbl
More than you've asked for: A Comprehensive Analysis of Novel Pr…
More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models We are currently w…
-
https://paperswithcode.com/paper/geofill-reference-based-image-inpainting-of — found via Mwmbl
GeoFill: Reference-Based Image Inpainting with Better Geometric …
Reference-guided image inpainting restores image pixels by leveraging the content from another single reference image. The primary challenge is how to pre…
-
https://paperswithcode.com/paper/covost-a-diverse-multilingual-speech-to-text — found via Mwmbl
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus…
Spoken language translation has recently witnessed a resurgence in popularity, thanks to the development of end-to-end models and the creation of new corp…
New results
-
https://paperswithcode.com/ — found via Mwmbl
The latest in Machine Learning | Papers With Code
Recent trends in language modeling have focused on increasing performance through scaling, and have resulted in an environment where training language mod…
-
https://paperswithcode.com/rc2020 — found via Mwmbl
ML Reproducibility Challenge Spring 2021 Edition | Papers With C…
ML Reproducibility Challenge 2020 Welcome to the ML Reproducibility Challenge 2020! This is the fifth edition of this event, and a successor of the ML Re…
-
https://paperswithcode.com/method/relu — found via Mwmbl
ReLU Explained | Papers With Code
Rectified Linear Units , or ReLUs , are a type of activation function that are linear in the positive dimension, but zero in the negative dimension. The k…
-
https://paperswithcode.com/method/elmo — found via Mwmbl
ELMo Explained | Papers With Code
Embeddings from Language Models , or ELMo , is a type of deep contextualized word representation that models both (1) complex characteristics of word use …
-
https://paperswithcode.com/method/gpt-2 — found via Mwmbl
GPT-2 Explained | Papers With Code
GPT-2 GPT-2 is a Transformer architecture that was notable for its size (1.5 billion parameters) on its release. The model is pretrained on a WebText dat…
-
https://paperswithcode.com/dataset/webli — found via Mwmbl
WebLI Dataset | Papers With Code
Remove a Data Loader Edit Dataset Modalities Edit Dataset Languages Edit Dataset Variants The benchmarks section lists all benchmarks using a given datas…
-
https://paperswithcode.com/method/max-pooling — found via Mwmbl
Max Pooling Explained | Papers With Code
Max Pooling is a pooling operation that calculates the maximum value for patches of a feature map, and uses it to create a downsampled (pooled) feature ma…
-
https://paperswithcode.com/method/efficientnet — found via Mwmbl
EfficientNet Explained | Papers With Code
EfficientNet is a convolutional neural network architecture and scaling method that uniformly scales all dimensions of depth/width/resolution using a comp…
-
https://paperswithcode.com/task/metric-learning — found via Mwmbl
Metric Learning | Papers With Code
The goal of Metric Learning is to learn a representation function that maps objects into an embedded space. The distance in the embedded space should pres…
-
https://paperswithcode.com/task/intent-detection — found via Mwmbl
Intent Detection | Papers With Code
Intent Detection is a vital component of any task-oriented conversational system. In order to understand the user’s current goal, the system must leverage…
-
https://paperswithcode.com/method/tanh-activation — found via Mwmbl
Tanh Activation Explained | Papers With Code
Historically, the tanh function became preferred over the sigmoid function as it gave better performance for multi-layer neural networks. But it did not s…
-
https://paperswithcode.com/method/average-pooling — found via Mwmbl
Average Pooling Explained | Papers With Code
Average Pooling is a pooling operation that calculates the average value for patches of a feature map, and uses it to create a downsampled (pooled) featur…
-
https://paperswithcode.com/task/few-shot-learning — found via Mwmbl
Few-Shot Learning | Papers With Code
Few-Shot Learning is an example of meta-learning, where a learner is trained on several related tasks, during the meta-training phase, so that it can gene…
-
https://paperswithcode.com/task/language-modelling — found via Mwmbl
Language Modelling | Papers With Code
Language modeling is the task of predicting the next word or character in a document. This technique can be used to train language models that can further…
-
https://paperswithcode.com/task/relation-extraction — found via Mwmbl
Relation Extraction | Papers With Code
Relation Extraction is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in…
-
https://paperswithcode.com/method/depthwise-convolution — found via Mwmbl
Depthwise Convolution Explained | Papers With Code
Depthwise Convolution is a type of convolution where we apply a single convolutional filter for each input channel. In the regular 2D convolution performe…
-
https://paperswithcode.com/task/language-identification — found via Mwmbl
Language Identification | Papers With Code
We present a treebank of Hindi-English code-switching tweets under Universal Dependencies scheme and propose a neural stacking model for parsing that effi…
-
https://paperswithcode.com/paper/unsupervised-data-augmentation — found via Mwmbl
Unsupervised Data Augmentation for Consistency Training | Papers…
Unsupervised Data Augmentation for Consistency Training Semi-supervised learning lately has shown much promise in improving deep learning models when lab…
-
https://paperswithcode.com/task/multi-task-language-understanding — found via Mwmbl
Multi-task Language Understanding | Papers With Code
By comprehensively evaluating the breadth and depth of a model's academic and professional understanding, our test can be used to analyze models across ma…
-
https://paperswithcode.com/paper/fleurs-few-shot-learning-evaluation-of — found via Mwmbl
FLEURS: Few-shot Learning Evaluation of Universal Representation…
We introduce FLEURS, the Few-shot Learning Evaluation of Universal Representations of Speech benchmark. FLEURS is an n-way parallel speech dataset in 102…
-
https://paperswithcode.com/paper/more-than-you-ve-asked-for-a-comprehensive — found via Mwmbl
More than you've asked for: A Comprehensive Analysis of Novel Pr…
More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models We are currently w…
-
https://paperswithcode.com/paper/geofill-reference-based-image-inpainting-of — found via Mwmbl
GeoFill: Reference-Based Image Inpainting with Better Geometric …
Reference-guided image inpainting restores image pixels by leveraging the content from another single reference image. The primary challenge is how to pre…
-
https://paperswithcode.com/paper/covost-a-diverse-multilingual-speech-to-text — found via Mwmbl
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus…
Spoken language translation has recently witnessed a resurgence in popularity, thanks to the development of end-to-end models and the creation of new corp…