Farshad Noravesh

Part 5: feature overcorrelation in deep graph neural networks: a new perspective

Part 5: feature overcorrelation in deep graph neural networks: a new perspective Farshad Noravesh 0 0 2 дня назад

Part 4: infograph: unsupervised and semisupervised graph level representation learning via mutual...

Part 4: infograph: unsupervised and semisupervised graph level representation learning via mutual... Farshad Noravesh 0 0 4 дня назад

Part 3: graph representation learning via aggregation enhancement

Part 3: graph representation learning via aggregation enhancement Farshad Noravesh 5 18 5 дней назад

Part 40: Exodus 29-30

Part 40: Exodus 29-30 Farshad Noravesh 0 0 6 дней назад

Part 2: distance encoding: design provably more powerful neural networks for graph representation...

Part 2: distance encoding: design provably more powerful neural networks for graph representation... Farshad Noravesh 9 31 10 дней назад

Part 39: Exodus 27-28

Part 39: Exodus 27-28 Farshad Noravesh 5 18 13 дней назад

Part 1: recurrent distance filtering for graph representation learning

Part 1: recurrent distance filtering for graph representation learning Farshad Noravesh 13 43 2 недели назад

Part 38: Exodus 25-26

Part 38: Exodus 25-26 Farshad Noravesh 9 30 2 недели назад

Part 1: random walk on the web graph

Part 1: random walk on the web graph Farshad Noravesh 10 32 3 недели назад

Part 1: Evaluating local community methods in networks

Part 1: Evaluating local community methods in networks Farshad Noravesh 6 20 3 недели назад

Part 27: overcoming catasrophic forgetting during domain adaptation of seq2seq language generation

Part 27: overcoming catasrophic forgetting during domain adaptation of seq2seq language generation Farshad Noravesh 9 30 5 месяцев назад

Part 1 : local semantic averaging for commonsense inference in language models

Part 1 : local semantic averaging for commonsense inference in language models Farshad Noravesh 30 101 1 год назад

Part 1: Evaluating local community methods in networks

Part 1: Evaluating local community methods in networks Farshad Noravesh 6 20 3 недели назад

Part 6: understanding collapse in non-contrastive siamese representations

Part 6: understanding collapse in non-contrastive siamese representations Farshad Noravesh 12 40 11 месяцев назад

Part 21: fine-tuning pretrained language models for few-shot intent detection: supervised....

Part 21: fine-tuning pretrained language models for few-shot intent detection: supervised.... Farshad Noravesh 15 50 8 месяцев назад

Part 13: CoRaL: continual representation learning for overcomming catasrophic forgetting.

Part 13: CoRaL: continual representation learning for overcomming catasrophic forgetting. Farshad Noravesh 4 14 10 месяцев назад

Part 4: unsupervised learning of visual features by contrastive clustering assignments

Part 4: unsupervised learning of visual features by contrastive clustering assignments Farshad Noravesh 18 59 11 месяцев назад

Part 88: selfReg: self-supervised contrastive regularization for domain generalization

Part 88: selfReg: self-supervised contrastive regularization for domain generalization Farshad Noravesh 7 22 3 месяца назад

Part 3: graph representation learning via aggregation enhancement

Part 3: graph representation learning via aggregation enhancement Farshad Noravesh 5 18 5 дней назад

Part 69: Gated domain units for multi-source domain generalization

Part 69: Gated domain units for multi-source domain generalization Farshad Noravesh 8 27 3 месяца назад

Part 90: representation via representations: domain generalisation via adversarially learned...

Part 90: representation via representations: domain generalisation via adversarially learned... Farshad Noravesh 4 14 2 месяца назад

Part 50: unsupervised domain adaptive graph convolutional networks

Part 50: unsupervised domain adaptive graph convolutional networks Farshad Noravesh 6 21 4 месяца назад

Part 93: domain generalization with adversarial feature learning

Part 93: domain generalization with adversarial feature learning Farshad Noravesh 6 19 2 месяца назад

Part 16: how does simsiam avoid collapse without negative samples? A unified understanding with...

Part 16: how does simsiam avoid collapse without negative samples? A unified understanding with... Farshad Noravesh 19 64 10 месяцев назад

Part 10: the web as a knowledge base for answering complex questions.

Part 10: the web as a knowledge base for answering complex questions. Farshad Noravesh 7 24 1 год назад

Part 73: T-SVDNet: Exploring high-order prototypical correlations for multi-source domain adaptation

Part 73: T-SVDNet: Exploring high-order prototypical correlations for multi-source domain adaptation Farshad Noravesh 2 7 3 месяца назад

Part 2: distance encoding: design provably more powerful neural networks for graph representation...

Part 2: distance encoding: design provably more powerful neural networks for graph representation... Farshad Noravesh 9 31 10 дней назад

Part 6: generating commonsense explanation by extracting bridge concepts from reasoning paths

Part 6: generating commonsense explanation by extracting bridge concepts from reasoning paths Farshad Noravesh 10 33 1 год назад

Part 52: domain generalisation under conditional and label shifts via variational bayesian inference

Part 52: domain generalisation under conditional and label shifts via variational bayesian inference Farshad Noravesh 5 18 4 месяца назад

Farshad Noravesh. Смотреть видео: Part 5 Feature Overcorrelation In Deep Graph Neural Networks A New Perspective, Part 4 Infograph Unsupervised And Semisupervised Graph Level Representation Learning Via Mutual, Part 3 Graph Representation Learning Via Aggregation Enhancement, Part 40 Exodus 29 30.