74 Questions 85 Answers 0 Followers
Questions related from Titas De
What are the standard applications of Cross Attention in Transformer Architectures ?
10 July 2024 9,250 2 View
Are there standard RNN architectures been applied for Time Series Analysis, forecasting and anomaly detection problems ?
01 July 2024 3,010 8 View
Have we ever used LSTM architectures on Time-Series Forecasting and Analysis, and gotten a decent result ?
01 July 2024 6,762 3 View
Apart from softmax function, what are the other standard ways to map infinite real-world values from any function to finite probability scores ?
26 June 2024 4,695 2 View
Has fine-tuning techniques like LORA and QLORA ever been applied to pre-trained CNN architectures for any application ?
26 June 2024 7,234 2 View
Where are large vision models typically used ?
26 June 2024 4,030 0 View
When it comes to Re-inforcement Learning with Human Feedback, are there standard libraries/frameworks for training LLMs ?
26 June 2024 1,051 0 View
Which architecture requires more data to train between CNN and Vision Transformer based models ?
26 June 2024 7,526 0 View
Which Object Detection architecture (be it CNN-based or Visual Transformer-based) can be used to detect small objects ?
19 June 2024 9,518 2 View
How can contexual bandits (used in Recommendation Systems) be implemented in code via library package ?
19 June 2024 3,133 6 View
What are the most standard offline LLMs we can use without any internet connection ?
19 June 2024 7,495 2 View
Can we even make changes to CLIP Model architecture such that it can be used as an image generator from prompts ?
17 June 2024 264 0 View
Can SHAPELY (SHAP) values be used to explain the importance of different features being fed to a Neural Network ? I know they are used in Traditional ML on Tabular data
11 June 2024 1,909 2 View
Is Information Value really used in the industry when we want to deal with tabular data for any supervised learning task ?
09 June 2024 6,698 3 View
I wanted to get an overview of the most commonly used large multimodal models which are open-source.
24 May 2024 6,461 0 View
Apart from Rotation, Random Crop, Affine Transformation, Flip, what are the other most commonly used Image Augmentation techniques for training deep learning models ?
18 May 2024 3,580 2 View
What are the most recent SOTA Vision Transformer based networks for object detection ?
18 May 2024 4,941 0 View
What are the most important applications of SIM CLR Image Representation Contrastive Learning technique ?
18 May 2024 6,768 0 View
Most common applications of Graph Neural Networks
06 May 2024 1,502 0 View
Is there any Recommendation System architecture/algorithm which can do both collaborative filtering and content-based similarity together ?
06 May 2024 9,942 0 View
Any algorithm/architecture to do both collaborative filtering and content-based similarity ?
28 April 2024 2,724 0 View
Is there any specific algorithm to recommend the top-k most popular videos/content in a particular platform ?
22 April 2024 7,562 2 View
Say we want to build a video recommender, how do we ensure diversity of videos being recommended ? What sort of algorithm or loss function should we use to do it ?
22 April 2024 2,847 2 View
What is the main speciality of contexual bandits that it is preferred for large-scale recommendation systems ?
11 May 2023 4,443 2 View
What are the latest deep learning models on speech generation from text ?
24 April 2023 3,865 3 View
Do we have style transfer models when it comes to speech ?
24 April 2023 7,473 0 View
Importance of cyclical learning rates for training deep learning neural nets.
15 March 2023 1,955 14 View
Are cyclical learning rates helpful in dealing with vanishing or exploding gradients problem ?
15 March 2023 1,698 0 View
Techniques to handle vanishing or exploding gradients in deep learning neural networks ?
12 March 2023 1,545 3 View
In recent times, is there an importance of Batch Normalization networks ?
12 March 2023 6,988 2 View
Which are the latest deep learning models for zero-shot speech classification ?
06 March 2023 3,577 4 View
Which are the latest deep learning models for zero-shot image classification ?
06 March 2023 1,481 6 View
Which are the latest deep learning models for zero-shot text classification ?
06 March 2023 4,294 2 View
What are the typical and most widely used applications of Vision Transformers ?
16 February 2023 8,213 3 View
Is the forward forward algorithm by Hinton as powerful as backpropagation ?
16 February 2023 6,348 4 View
Given a multi-layer (say 10-12) neural network, are there standard techniques to compress it to a single layer or 2 layer NN ?
16 February 2023 3,344 6 View
We all know about text to image search. But if we input one image, what techniques can we use to return similar images as results ?
22 December 2022 7,753 6 View
What CNN architectures can we use to create Video Embeddings for later classification and description ?
22 December 2022 3,289 0 View
p-value for feature selection in training process: Has p-value ever been used for feature selection in Machine Learning related to Tabular Data ? If yes, advantages and disadvantages.
21 November 2022 1,186 7 View
What are the different ways to get user embeddings apart from matrix factorization of user-item matrix ?
21 November 2022 9,326 2 View
When it comes to recommendation systems and popularity based item recommendation, what is the most popular algorithm ?
21 November 2022 2,374 4 View
Have you guys ever used p-value for feature selection ? If yes, what are the advantages and disadvantages of it.
20 November 2022 9,942 0 View
What is the best open-source CNN deep learning model which can do image inpainting and can generate realistic images ?
25 October 2022 495 6 View
Between H265 and H266, which video codec standard is better in terms of storage size and video quality ? And what are the pros and cons of each of them.
15 October 2022 1,744 0 View
What is the best computer vision or CNN model for detecting very small objects in high resolution images ?
22 September 2022 5,348 2 View
Are there survey research papers or blogs when it comes to Automatic Content Recognition and which companies are doing it ?
16 September 2022 8,965 0 View
What are the latest advances on generating english text sub-titles for videos with non-english audio ?
15 September 2022 5,752 0 View
Do we have a tensorflow lite version of super-resolution models applicable to embedded devices and environments ?
22 May 2022 9,727 0 View
Self-supervised learning: in which domain between NLP, Computer Vision and Speech, it is used the most ?
21 May 2022 2,387 3 View
When it comes to train-test split for time series analysis, how is it typically done ? Or rather how is the 80:20 or 60:40 ratio determined ?
10 April 2022 2,627 7 View
Open-source Deep learning architectures for synthetic audio generation in a known person's voice.
28 February 2022 2,894 0 View
In which application of Machine Learning ( NLP, Computer Vision, etc ) would we find maximum value with Semi-Supervised Learning and Self-Training ?
19 February 2022 8,522 3 View
What are the latest advances in Zero Shot and Few-Shot learning for object classification and text classification ?
13 January 2022 1,315 3 View
What are the latest advances in zero-shot learning on NLP ?
12 January 2022 5,896 4 View
Are there pre-trained English Speech to text deep learning models available as open-source ?
06 September 2021 485 6 View
Are there open source datasets and pre-trained deep learning models available for voice sentiment classification ?
06 September 2021 517 6 View
Given any CNN architecture to be trained on any classification dataset, if we make all the weights and parameters as binary, would the training converge much faster ?
03 September 2021 6,849 0 View
Given a huge dataset of audio signals say of 10s or 60s ( which contains songs, recitation, political speeches, etc. ), are there traditional ML or deep learning techniques to cluster those audio...
10 August 2021 3,409 2 View
Has transformers ( applied in NLP ) been applied to Computer Vision ?
26 May 2020 1,770 8 View
Pruning of connections between hidden layers or pruning the number of hidden layers.
18 May 2020 7,090 8 View
How are the loss functions of Multi-Class classification and Multi-label classification different ? Please give examples.
11 March 2020 5,939 6 View
Hi Guys, I was wondering if there are deep learning techniques existing which given a photo ( picture ) could analyse and generate a textual description of the photo. I am referring not just tag...
16 January 2020 5,505 5 View
Are there any efficient and effective alternatives to 1d depth-wise convolution which will increase the classification accuracy and also reduce the size of the network i.e. number of learnable...
27 December 2019 3,182 3 View
Given a paragraph, are there standard techniques on paragraph summarization, like extracting relevant keywords. Anything in this direction will be help-ful
18 December 2019 7,828 7 View
I was wondering what are the standard applications of 2D Convolutional Neural Networks in Natural Language Processing. A technique I am familiar with is called DDSM.
18 December 2019 5,856 3 View
Are there deep learning or natural language models for automated tag generation from paragraphs ?
30 November 2019 2,154 4 View
What are the standard non-deep learning based supervised dimensionality reduction techniques ? The ones I know of are Linear Discriminant Analysis. Is there a Supervised version of PCA ?
24 November 2019 7,248 3 View
Reduction of noise in training labels.
22 November 2019 9,996 3 View
Validation/Test loss lower than Training loss....possible reasons ?
22 November 2019 7,937 2 View
Hi Guys, is there any current research done as to figuring out a way to reduce the size of DenseNet for Image classification ? This can either be through weight quantization or removing of skip...
22 November 2019 1,172 6 View
I know PCA is unsupervised. Any research paper on Supervised Dimension Reduction Techniques.
22 November 2019 2,852 6 View
Hi, is there any quantifiable scientific process to understand whether a deep learning model trained on a certain image classification dataset can be used for transfer learning for image...
11 November 2019 9,220 2 View
Time-Series Clustering and Correlation: My question is pertaining to getting a overall measure of the time series correlation over the entire time period for which the time series is defined.
04 September 2018 2,004 4 View
Clustering - Neural Netowrks
02 September 2018 2,204 4 View
